1. Reference URL: https://www.shuijingwanwq.com/2021/01/26/4703/ . The analysis result was: the article content violated the Weibo Community Convention. However, this time the same article was sent to 6 Weibo accounts within a short period. Only 1 Weibo account published successfully, while the other 5 Weibo accounts all failed. Failure message: create statuses error. As shown in Figure 1
2. I decided to fetch the channel publishing API response, which is as follows: /v1/task-groups?filter[group_id]=6c8b55e7387da4799772ddb389f06753&filter[source][/source]=scms&filter[source_article_id][in][0]=130354&group_id=6c8b55e7387da4799772ddb389f06753 . There are 11 records, but only 6 records are displayed on the page. As shown in Figure 2
![I decided to fetch the channel publishing API response, which is as follows: /v1/task-groups?filter[group_id]=6c8b55e7387da4799772ddb389f06753&filter[source][/source]=scms&filter[source_article_id][in][0]=130354&group_id=6c8b55e7387da4799772ddb389f06753 . There are 11 records, but only 6 records are displayed on the page.](https://media.shuijingwanwq.com/2021/10/2-5.png)
JSON
{
"code": 10000,
"message": "获取任务组列表成功",
"data": {
"items": [
{
"id": 347,
"group_id": "6c8b55e7387da4799772ddb389f06753",
"uuid": "d9379392219611ec94e00b5d9a558f66",
"source": "scms",
"source_article_id": "130354",
"status": 1,
"pubed_at": 1632969231,
"created_at": 1632969231,
"updated_at": 1632969231,
"task_group_uuid": "d9379392219611ec94e00b5d9a558f66",
"channel_app_task_items": [
{
"model": "channel_app_task",
"id": 1757,
"channel_app_source_uuid": "1ca8f0fc1c6111ec9311312c0ee58676",
"uuid": "d9581874219611ec8eaad7083a7c7ac2",
"channel_app_task_uuid": "d9581874219611ec8eaad7083a7c7ac2",
"channel_code": "weibo",
"channel_name": "微博",
"channel_type_code": "weibo_weibo_connect_web",
"channel_type_name": "微博的微连接的网页应用",
"source": "scms",
"source_uuid": "06d7caf62924a1e6d8780f8f2d3654e1",
"source_pub_user_id": "1",
"source_article_id": "1387",
"pub_log_code": 10000,
"pub_log_message": "文章类型：头条(头条文章)的文章已发布至微博平台",
"article_read_count": 0,
"pub_status": 6,
"channel_app_name": "萌主想微笑",
"name": "萌主想微笑",
"channel_app_avatar": "https://tvax4.sinaimg.cn/crop.0.0.512.512.1024/007co1plly8gdel61k76yj30e80e8mxi.jpg?KID=imgbed,tva&Expires=1632407195&ssig=LIwRM5Jb6%2F",
"avatar": "https://tvax4.sinaimg.cn/crop.0.0.512.512.1024/007co1plly8gdel61k76yj30e80e8mxi.jpg?KID=imgbed,tva&Expires=1632407195&ssig=LIwRM5Jb6%2F",
"article_url": "http://weibo.com/ttarticle/p/show?id=2310474687075109634109",
"created_at": "1632969231"
},
{
"model": "channel_app_task",
"id": 1758,
"channel_app_source_uuid": "df6b63b01c5f11ecb4882d4ebcc2a341",
"uuid": "d981eeba219611ecb773e8c08019f10c",
"channel_app_task_uuid": "d981eeba219611ecb773e8c08019f10c",
"channel_code": "weibo",
"channel_name": "微博",
"channel_type_code": "weibo_weibo_connect_web",
"channel_type_name": "微博的微连接的网页应用",
"source": "scms",
"source_uuid": "06d7caf62924a1e6d8780f8f2d3654e1",
"source_pub_user_id": "1",
"source_article_id": "1388",
"pub_log_code": 10000,
"pub_log_message": "文章类型：头条(头条文章)的文章已发布至微博平台",
"article_read_count": 0,
"pub_status": 6,
"channel_app_name": "永夜烟",
"name": "永夜烟",
"channel_app_avatar": "https://tva3.sinaimg.cn/crop.0.0.180.180.1024/9bb8f5bdjw1e8qgp5bmzyj2050050aa8.jpg?KID=imgbed,tva&Expires=1632406663&ssig=mzGlGaV7Tw",
"avatar": "https://tva3.sinaimg.cn/crop.0.0.180.180.1024/9bb8f5bdjw1e8qgp5bmzyj2050050aa8.jpg?KID=imgbed,tva&Expires=1632406663&ssig=mzGlGaV7Tw",
"article_url": "http://weibo.com/ttarticle/p/show?id=2310474687075113829083",
"created_at": "1632969231"
},
{
"model": "channel_app_task",
"id": 1759,
"channel_app_source_uuid": "df6b63b01c5f11ecb4882d4ebcc2a341",
"uuid": "d9a752e0219611ec9db788e6461d94f2",
"channel_app_task_uuid": "d9a752e0219611ec9db788e6461d94f2",
"channel_code": "weibo",
"channel_name": "微博",
"channel_type_code": "weibo_weibo_connect_web",
"channel_type_name": "微博的微连接的网页应用",
"source": "scms",
"source_uuid": "06d7caf62924a1e6d8780f8f2d3654e1",
"source_pub_user_id": "1",
"source_article_id": "1388",
"pub_log_code": 11002,
"pub_log_message": "create statuses error",
"article_read_count": 0,
"pub_status": 7,
"channel_app_name": "永夜烟",
"name": "永夜烟",
"channel_app_avatar": "https://tva3.sinaimg.cn/crop.0.0.180.180.1024/9bb8f5bdjw1e8qgp5bmzyj2050050aa8.jpg?KID=imgbed,tva&Expires=1632406663&ssig=mzGlGaV7Tw",
"avatar": "https://tva3.sinaimg.cn/crop.0.0.180.180.1024/9bb8f5bdjw1e8qgp5bmzyj2050050aa8.jpg?KID=imgbed,tva&Expires=1632406663&ssig=mzGlGaV7Tw",
"article_url": "",
"created_at": "1632969232"
},
{
"model": "channel_app_task",
"id": 1760,
"channel_app_source_uuid": "7017abb41c5e11ecb39714c6fc80b6a9",
"uuid": "d9cfe200219611ecac23e40862567eb1",
"channel_app_task_uuid": "d9cfe200219611ecac23e40862567eb1",
"channel_code": "weibo",
"channel_name": "微博",
"channel_type_code": "weibo_weibo_connect_web",
"channel_type_name": "微博的微连接的网页应用",
"source": "scms",
"source_uuid": "06d7caf62924a1e6d8780f8f2d3654e1",
"source_pub_user_id": "1",
"source_article_id": "1389",
"pub_log_code": 10000,
"pub_log_message": "文章类型：头条(头条文章)的文章已发布至微博平台",
"article_read_count": 0,
"pub_status": 6,
"channel_app_name": "大王叫我来搬砖_-_",
"name": "大王叫我来搬砖_-_",
"channel_app_avatar": "https://tva3.sinaimg.cn/crop.0.0.664.664.1024/a2debcd2jw8f6toimufqgj20ig0igmyw.jpg?KID=imgbed,tva&Expires=1632406047&ssig=JTf2JxwYKx",
"avatar": "https://tva3.sinaimg.cn/crop.0.0.664.664.1024/a2debcd2jw8f6toimufqgj20ig0igmyw.jpg?KID=imgbed,tva&Expires=1632406047&ssig=JTf2JxwYKx",
"article_url": "http://weibo.com/ttarticle/p/show?id=2310474687075126673414",
"created_at": "1632969232"
},
{
"model": "channel_app_task",
"id": 1761,
"channel_app_source_uuid": "7017abb41c5e11ecb39714c6fc80b6a9",
"uuid": "d9fc4c5a219611ec92e28531cf6ab6fd",
"channel_app_task_uuid": "d9fc4c5a219611ec92e28531cf6ab6fd",
"channel_code": "weibo",
"channel_name": "微博",
"channel_type_code": "weibo_weibo_connect_web",
"channel_type_name": "微博的微连接的网页应用",
"source": "scms",
"source_uuid": "06d7caf62924a1e6d8780f8f2d3654e1",
"source_pub_user_id": "1",
"source_article_id": "1389",
"pub_log_code": 11002,
"pub_log_message": "create statuses error",
"article_read_count": 0,
"pub_status": 7,
"channel_app_name": "大王叫我来搬砖_-_",
"name": "大王叫我来搬砖_-_",
"channel_app_avatar": "https://tva3.sinaimg.cn/crop.0.0.664.664.1024/a2debcd2jw8f6toimufqgj20ig0igmyw.jpg?KID=imgbed,tva&Expires=1632406047&ssig=JTf2JxwYKx",
"avatar": "https://tva3.sinaimg.cn/crop.0.0.664.664.1024/a2debcd2jw8f6toimufqgj20ig0igmyw.jpg?KID=imgbed,tva&Expires=1632406047&ssig=JTf2JxwYKx",
"article_url": "",
"created_at": "1632969232"
},
{
"model": "channel_app_task",
"id": 1762,
"channel_app_source_uuid": "fb09e97e1c5b11eca819deb61bdc04ef",
"uuid": "da2391a2219611eca1447bc6cdb7a413",
"channel_app_task_uuid": "da2391a2219611eca1447bc6cdb7a413",
"channel_code": "weibo",
"channel_name": "微博",
"channel_type_code": "weibo_weibo_connect_web",
"channel_type_name": "微博的微连接的网页应用",
"source": "scms",
"source_uuid": "06d7caf62924a1e6d8780f8f2d3654e1",
"source_pub_user_id": "1",
"source_article_id": "1390",
"pub_log_code": 11002,
"pub_log_message": "create statuses error",
"article_read_count": 0,
"pub_status": 7,
"channel_app_name": "用户5470463170",
"name": "用户5470463170",
"channel_app_avatar": "https://tvax2.sinaimg.cn/crop.0.0.996.996.1024/005YdvmWly8gj1zv5q0nwj30ro0roq5o.jpg?KID=imgbed,tva&Expires=1632404992&ssig=36j4KkHmxP",
"avatar": "https://tvax2.sinaimg.cn/crop.0.0.996.996.1024/005YdvmWly8gj1zv5q0nwj30ro0roq5o.jpg?KID=imgbed,tva&Expires=1632404992&ssig=36j4KkHmxP",
"article_url": "",
"created_at": "1632969233"
},
{
"model": "channel_app_task",
"id": 1763,
"channel_app_source_uuid": "fb09e97e1c5b11eca819deb61bdc04ef",
"uuid": "da4aefa4219611ec9fd460493c47dac3",
"channel_app_task_uuid": "da4aefa4219611ec9fd460493c47dac3",
"channel_code": "weibo",
"channel_name": "微博",
"channel_type_code": "weibo_weibo_connect_web",
"channel_type_name": "微博的微连接的网页应用",
"source": "scms",
"source_uuid": "06d7caf62924a1e6d8780f8f2d3654e1",
"source_pub_user_id": "1",
"source_article_id": "1390",
"pub_log_code": 11002,
"pub_log_message": "create statuses error",
"article_read_count": 0,
"pub_status": 7,
"channel_app_name": "用户5470463170",
"name": "用户5470463170",
"channel_app_avatar": "https://tvax2.sinaimg.cn/crop.0.0.996.996.1024/005YdvmWly8gj1zv5q0nwj30ro0roq5o.jpg?KID=imgbed,tva&Expires=1632404992&ssig=36j4KkHmxP",
"avatar": "https://tvax2.sinaimg.cn/crop.0.0.996.996.1024/005YdvmWly8gj1zv5q0nwj30ro0roq5o.jpg?KID=imgbed,tva&Expires=1632404992&ssig=36j4KkHmxP",
"article_url": "",
"created_at": "1632969233"
},
{
"model": "channel_app_task",
"id": 1764,
"channel_app_source_uuid": "e9929c421c5911eca9e45724a3f66da3",
"uuid": "da7392ec219611ec903c87f211f04b43",
"channel_app_task_uuid": "da7392ec219611ec903c87f211f04b43",
"channel_code": "weibo",
"channel_name": "微博",
"channel_type_code": "weibo_weibo_connect_web",
"channel_type_name": "微博的微连接的网页应用",
"source": "scms",
"source_uuid": "06d7caf62924a1e6d8780f8f2d3654e1",
"source_pub_user_id": "1",
"source_article_id": "1391",
"pub_log_code": 11002,
"pub_log_message": "create statuses error",
"article_read_count": 0,
"pub_status": 7,
"channel_app_name": "用户7702683732",
"name": "用户7702683732",
"channel_app_avatar": "https://tvax4.sinaimg.cn/crop.0.0.1080.1080.1024/008phFUoly8guqqswyziaj60u00u0mz002.jpg?KID=imgbed,tva&Expires=1632404103&ssig=SD4u8zbNPg",
"avatar": "https://tvax4.sinaimg.cn/crop.0.0.1080.1080.1024/008phFUoly8guqqswyziaj60u00u0mz002.jpg?KID=imgbed,tva&Expires=1632404103&ssig=SD4u8zbNPg",
"article_url": "",
"created_at": "1632969233"
},
{
"model": "channel_app_task",
"id": 1765,
"channel_app_source_uuid": "e9929c421c5911eca9e45724a3f66da3",
"uuid": "da9abb38219611eca7fb7f8a090fa159",
"channel_app_task_uuid": "da9abb38219611eca7fb7f8a090fa159",
"channel_code": "weibo",
"channel_name": "微博",
"channel_type_code": "weibo_weibo_connect_web",
"channel_type_name": "微博的微连接的网页应用",
"source": "scms",
"source_uuid": "06d7caf62924a1e6d8780f8f2d3654e1",
"source_pub_user_id": "1",
"source_article_id": "1391",
"pub_log_code": 11002,
"pub_log_message": "create statuses error",
"article_read_count": 0,
"pub_status": 7,
"channel_app_name": "用户7702683732",
"name": "用户7702683732",
"channel_app_avatar": "https://tvax4.sinaimg.cn/crop.0.0.1080.1080.1024/008phFUoly8guqqswyziaj60u00u0mz002.jpg?KID=imgbed,tva&Expires=1632404103&ssig=SD4u8zbNPg",
"avatar": "https://tvax4.sinaimg.cn/crop.0.0.1080.1080.1024/008phFUoly8guqqswyziaj60u00u0mz002.jpg?KID=imgbed,tva&Expires=1632404103&ssig=SD4u8zbNPg",
"article_url": "",
"created_at": "1632969233"
},
{
"model": "channel_app_task",
"id": 1766,
"channel_app_source_uuid": "bd6aec8e16d511ec98b7ba30bab651ec",
"uuid": "dac3f50c219611ec83044b1c6c478303",
"channel_app_task_uuid": "dac3f50c219611ec83044b1c6c478303",
"channel_code": "weibo",
"channel_name": "微博",
"channel_type_code": "weibo_weibo_connect_web",
"channel_type_name": "微博的微连接的网页应用",
"source": "scms",
"source_uuid": "06d7caf62924a1e6d8780f8f2d3654e1",
"source_pub_user_id": "1",
"source_article_id": "1392",
"pub_log_code": 11002,
"pub_log_message": "create statuses error",
"article_read_count": 0,
"pub_status": 7,
"channel_app_name": "用户6578157896",
"name": "用户6578157896",
"channel_app_avatar": "https://tvax3.sinaimg.cn/crop.0.0.1080.1080.1024/007bbhmUly8g894n1slq7j30u00u0gmo.jpg?KID=imgbed,tva&Expires=1632921660&ssig=R8DhlrZzMa",
"avatar": "https://tvax3.sinaimg.cn/crop.0.0.1080.1080.1024/007bbhmUly8g894n1slq7j30u00u0gmo.jpg?KID=imgbed,tva&Expires=1632921660&ssig=R8DhlrZzMa",
"article_url": "",
"created_at": "1632969234"
},
{
"model": "channel_app_task",
"id": 1767,
"channel_app_source_uuid": "bd6aec8e16d511ec98b7ba30bab651ec",
"uuid": "daf62932219611ec81bf58a2e98215c1",
"channel_app_task_uuid": "daf62932219611ec81bf58a2e98215c1",
"channel_code": "weibo",
"channel_name": "微博",
"channel_type_code": "weibo_weibo_connect_web",
"channel_type_name": "微博的微连接的网页应用",
"source": "scms",
"source_uuid": "06d7caf62924a1e6d8780f8f2d3654e1",
"source_pub_user_id": "1",
"source_article_id": "1392",
"pub_log_code": 11002,
"pub_log_message": "create statuses error",
"article_read_count": 0,
"pub_status": 7,
"channel_app_name": "用户6578157896",
"name": "用户6578157896",
"channel_app_avatar": "https://tvax3.sinaimg.cn/crop.0.0.1080.1080.1024/007bbhmUly8g894n1slq7j30u00u0gmo.jpg?KID=imgbed,tva&Expires=1632921660&ssig=R8DhlrZzMa",
"avatar": "https://tvax3.sinaimg.cn/crop.0.0.1080.1080.1024/007bbhmUly8g894n1slq7j30u00u0gmo.jpg?KID=imgbed,tva&Expires=1632921660&ssig=R8DhlrZzMa",
"article_url": "",
"created_at": "1632969234"
}
]
}
],
"_links": {
"self": {
"href": "http://api.ccp:82/v1/task-groups?filter%5Bgroup_id%5D=6c8b55e7387da4799772ddb389f06753&filter%5Bsource%5D=scms&filter%5Bsource_article_id%5D%5Bin%5D%5B0%5D=130354&group_id=6c8b55e7387da4799772ddb389f06753&page=1"
},
"first": {
"href": "http://api.ccp:82/v1/task-groups?filter%5Bgroup_id%5D=6c8b55e7387da4799772ddb389f06753&filter%5Bsource%5D=scms&filter%5Bsource_article_id%5D%5Bin%5D%5B0%5D=130354&group_id=6c8b55e7387da4799772ddb389f06753&page=1"
},
"last": {
"href": "http://api.ccp:82/v1/task-groups?filter%5Bgroup_id%5D=6c8b55e7387da4799772ddb389f06753&filter%5Bsource%5D=scms&filter%5Bsource_article_id%5D%5Bin%5D%5B0%5D=130354&group_id=6c8b55e7387da4799772ddb389f06753&page=1"
}
},
"_meta": {
"totalCount": 1,
"pageCount": 1,
"currentPage": 1,
"perPage": 20
}
}
}
3. Search in the response data for: “channel_app_name”: “萌主想微笑”,. There is only 1 record of successful publishing. As shown in Figure 3
4. Search in the response data for: “channel_app_name”: “永夜烟”,. There is 1 record of successful publishing and 1 record of failed publishing. As shown in Figures 4 and 5
5. I finally summarized the pattern of the 11 records: 萌主想微笑 (1 successful), 永夜烟 (1 successful, 1 failed), 大王叫我来搬砖_-_ (1 successful, 1 failed), 用户5470463170 (2 failed), 用户7702683732 (2 failed), 用户6578157896 (2 failed).
6. Based on the pattern: 萌主想微笑 (1 successful), 永夜烟 (1 successful, 1 failed), 大王叫我来搬砖_-_ (1 successful, 1 failed). The analysis result was: when the same Weibo account publishes a headline article, repeated publishing will fail: create statuses error. However, based on the pattern: 用户5470463170 (2 failed), 用户7702683732 (2 failed), 用户6578157896 (2 failed). This overturned the conclusion that repeated publishing will fail. I now needed to confirm whether these 3 Weibo accounts had already published the same headline article before the 2 failed attempts.
7. Checking the page again, I confirmed that a headline article with identical content had already been published earlier that day. The article content of the title: 同时发布6个账号时，接口响应时间 is the same as the article content of the title: 感恩之旅，家乡变化巨大果园生机勃勃，亲情漫溢，充实愉快的长隆假期. As shown in Figure 6
8. I decided to fetch the channel publishing API response for the title: 感恩之旅，家乡变化巨大果园生机勃勃，亲情漫溢，充实愉快的长隆假期. The response is as follows: /v1/task-groups?filter[group_id]=6c8b55e7387da4799772ddb389f06753&filter[source][/source]=scms&filter[source_article_id][in][0]=130354&group_id=6c8b55e7387da4799772ddb389f06753 . There are 12 records, but only 6 records are displayed on the page. I finally summarized the pattern of the 12 records: 萌主想微笑 (1 successful), 永夜烟 (2 successful), 大王叫我来搬砖_-_ (2 successful), 用户5470463170 (1 successful, 1 failed), 用户7702683732 (1 successful, 1 failed), 用户6578157896 (2 successful, 1 failed). As shown in Figure 7
![I decided to fetch the channel publishing API response for the title: 感恩之旅，家乡变化巨大果园生机勃勃，亲情漫溢，充实愉快的长隆假期. The response is as follows: /v1/task-groups?filter[group_id]=6c8b55e7387da4799772ddb389f06753&filter[source][/source]=scms&filter[source_article_id][in][0]=130354&group_id=6c8b55e7387da4799772ddb389f06753 . There are 12 records, but only 6 records are displayed on the page. I finally summarized the pattern of the 12 records: 萌主想微笑 (1 successful), 永夜烟 (2 successful), 大王叫我来搬砖_-_ (2 successful), 用户5470463170 (1 successful, 1 failed), 用户7702683732 (1 successful, 1 failed), 用户6578157896 (2 successful, 1 failed).](https://media.shuijingwanwq.com/2021/10/7-1.png)
JSON
{
"code": 10000,
"message": "获取任务组列表成功",
"data": {
"items": [
{
"id": 344,
"group_id": "6c8b55e7387da4799772ddb389f06753",
"uuid": "65e579fc210c11ec8f09d01bb9e43d7c",
"source": "scms",
"source_article_id": "130347",
"status": 1,
"pubed_at": 1632910883,
"created_at": 1632909767,
"updated_at": 1632910883,
"task_group_uuid": "65e579fc210c11ec8f09d01bb9e43d7c",
"channel_app_task_items": [
{
"model": "channel_app_task",
"id": 1730,
"channel_app_source_uuid": "1ca8f0fc1c6111ec9311312c0ee58676",
"uuid": "65f6d008210c11ecb8e23189516a3bb7",
"channel_app_task_uuid": "65f6d008210c11ecb8e23189516a3bb7",
"channel_code": "weibo",
"channel_name": "微博",
"channel_type_code": "weibo_weibo_connect_web",
"channel_type_name": "微博的微连接的网页应用",
"source": "scms",
"source_uuid": "06d7caf62924a1e6d8780f8f2d3654e1",
"source_pub_user_id": "1",
"source_article_id": "1374",
"pub_log_code": 10000,
"pub_log_message": "文章已发布至平台：返回码：10000，说明：success",
"article_read_count": 0,
"pub_status": 6,
"channel_app_name": "萌主想微笑",
"name": "萌主想微笑",
"channel_app_avatar": "https://tvax4.sinaimg.cn/crop.0.0.512.512.1024/007co1plly8gdel61k76yj30e80e8mxi.jpg?KID=imgbed,tva&Expires=1632407195&ssig=LIwRM5Jb6%2F",
"avatar": "https://tvax4.sinaimg.cn/crop.0.0.512.512.1024/007co1plly8gdel61k76yj30e80e8mxi.jpg?KID=imgbed,tva&Expires=1632407195&ssig=LIwRM5Jb6%2F",
"article_url": "",
"created_at": "1632909818"
},
{
"model": "channel_app_task",
"id": 1731,
"channel_app_source_uuid": "df6b63b01c5f11ecb4882d4ebcc2a341",
"uuid": "65fa3d6a210c11ecb0ab7dc33e9462bc",
"channel_app_task_uuid": "65fa3d6a210c11ecb0ab7dc33e9462bc",
"channel_code": "weibo",
"channel_name": "微博",
"channel_type_code": "weibo_weibo_connect_web",
"channel_type_name": "微博的微连接的网页应用",
"source": "scms",
"source_uuid": "06d7caf62924a1e6d8780f8f2d3654e1",
"source_pub_user_id": "1",
"source_article_id": "1375",
"pub_log_code": 10000,
"pub_log_message": "文章已发布至平台：返回码：10000，说明：success",
"article_read_count": 0,
"pub_status": 6,
"channel_app_name": "永夜烟",
"name": "永夜烟",
"channel_app_avatar": "https://tva3.sinaimg.cn/crop.0.0.180.180.1024/9bb8f5bdjw1e8qgp5bmzyj2050050aa8.jpg?KID=imgbed,tva&Expires=1632406663&ssig=mzGlGaV7Tw",
"avatar": "https://tva3.sinaimg.cn/crop.0.0.180.180.1024/9bb8f5bdjw1e8qgp5bmzyj2050050aa8.jpg?KID=imgbed,tva&Expires=1632406663&ssig=mzGlGaV7Tw",
"article_url": "",
"created_at": "1632909818"
},
{
"model": "channel_app_task",
"id": 1732,
"channel_app_source_uuid": "df6b63b01c5f11ecb4882d4ebcc2a341",
"uuid": "65fed0dc210c11eca7b3c67c7d3a6381",
"channel_app_task_uuid": "65fed0dc210c11eca7b3c67c7d3a6381",
"channel_code": "weibo",
"channel_name": "微博",
"channel_type_code": "weibo_weibo_connect_web",
"channel_type_name": "微博的微连接的网页应用",
"source": "scms",
"source_uuid": "06d7caf62924a1e6d8780f8f2d3654e1",
"source_pub_user_id": "1",
"source_article_id": "1375",
"pub_log_code": 10000,
"pub_log_message": "文章已发布至平台：返回码：10000，说明：success",
"article_read_count": 0,
"pub_status": 6,
"channel_app_name": "永夜烟",
"name": "永夜烟",
"channel_app_avatar": "https://tva3.sinaimg.cn/crop.0.0.180.180.1024/9bb8f5bdjw1e8qgp5bmzyj2050050aa8.jpg?KID=imgbed,tva&Expires=1632406663&ssig=mzGlGaV7Tw",
"avatar": "https://tva3.sinaimg.cn/crop.0.0.180.180.1024/9bb8f5bdjw1e8qgp5bmzyj2050050aa8.jpg?KID=imgbed,tva&Expires=1632406663&ssig=mzGlGaV7Tw",
"article_url": "",
"created_at": "1632909818"
},
{
"model": "channel_app_task",
"id": 1733,
"channel_app_source_uuid": "7017abb41c5e11ecb39714c6fc80b6a9",
"uuid": "660103e8210c11eca857d42455bccceb",
"channel_app_task_uuid": "660103e8210c11eca857d42455bccceb",
"channel_code": "weibo",
"channel_name": "微博",
"channel_type_code": "weibo_weibo_connect_web",
"channel_type_name": "微博的微连接的网页应用",
"source": "scms",
"source_uuid": "06d7caf62924a1e6d8780f8f2d3654e1",
"source_pub_user_id": "1",
"source_article_id": "1376",
"pub_log_code": 10000,
"pub_log_message": "文章已发布至平台：返回码：10000，说明：success",
"article_read_count": 0,
"pub_status": 6,
"channel_app_name": "大王叫我来搬砖_-_",
"name": "大王叫我来搬砖_-_",
"channel_app_avatar": "https://tva3.sinaimg.cn/crop.0.0.664.664.1024/a2debcd2jw8f6toimufqgj20ig0igmyw.jpg?KID=imgbed,tva&Expires=1632406047&ssig=JTf2JxwYKx",
"avatar": "https://tva3.sinaimg.cn/crop.0.0.664.664.1024/a2debcd2jw8f6toimufqgj20ig0igmyw.jpg?KID=imgbed,tva&Expires=1632406047&ssig=JTf2JxwYKx",
"article_url": "",
"created_at": "1632909818"
},
{
"model": "channel_app_task",
"id": 1734,
"channel_app_source_uuid": "7017abb41c5e11ecb39714c6fc80b6a9",
"uuid": "6602fc48210c11ec86f03c085e3b1645",
"channel_app_task_uuid": "6602fc48210c11ec86f03c085e3b1645",
"channel_code": "weibo",
"channel_name": "微博",
"channel_type_code": "weibo_weibo_connect_web",
"channel_type_name": "微博的微连接的网页应用",
"source": "scms",
"source_uuid": "06d7caf62924a1e6d8780f8f2d3654e1",
"source_pub_user_id": "1",
"source_article_id": "1376",
"pub_log_code": 10000,
"pub_log_message": "文章已发布至平台：返回码：10000，说明：success",
"article_read_count": 0,
"pub_status": 6,
"channel_app_name": "大王叫我来搬砖_-_",
"name": "大王叫我来搬砖_-_",
"channel_app_avatar": "https://tva3.sinaimg.cn/crop.0.0.664.664.1024/a2debcd2jw8f6toimufqgj20ig0igmyw.jpg?KID=imgbed,tva&Expires=1632406047&ssig=JTf2JxwYKx",
"avatar": "https://tva3.sinaimg.cn/crop.0.0.664.664.1024/a2debcd2jw8f6toimufqgj20ig0igmyw.jpg?KID=imgbed,tva&Expires=1632406047&ssig=JTf2JxwYKx",
"article_url": "",
"created_at": "1632909818"
},
{
"model": "channel_app_task",
"id": 1735,
"channel_app_source_uuid": "fb09e97e1c5b11eca819deb61bdc04ef",
"uuid": "6604f124210c11ec9d7c32cd37843f22",
"channel_app_task_uuid": "6604f124210c11ec9d7c32cd37843f22",
"channel_code": "weibo",
"channel_name": "微博",
"channel_type_code": "weibo_weibo_connect_web",
"channel_type_name": "微博的微连接的网页应用",
"source": "scms",
"source_uuid": "06d7caf62924a1e6d8780f8f2d3654e1",
"source_pub_user_id": "1",
"source_article_id": "1377",
"pub_log_code": 10000,
"pub_log_message": "文章已发布至平台：返回码：10000，说明：success",
"article_read_count": 0,
"pub_status": 6,
"channel_app_name": "用户5470463170",
"name": "用户5470463170",
"channel_app_avatar": "https://tvax2.sinaimg.cn/crop.0.0.996.996.1024/005YdvmWly8gj1zv5q0nwj30ro0roq5o.jpg?KID=imgbed,tva&Expires=1632404992&ssig=36j4KkHmxP",
"avatar": "https://tvax2.sinaimg.cn/crop.0.0.996.996.1024/005YdvmWly8gj1zv5q0nwj30ro0roq5o.jpg?KID=imgbed,tva&Expires=1632404992&ssig=36j4KkHmxP",
"article_url": "",
"created_at": "1632909818"
},
{
"model": "channel_app_task",
"id": 1736,
"channel_app_source_uuid": "fb09e97e1c5b11eca819deb61bdc04ef",
"uuid": "6607013a210c11ecb47e8233e5484dad",
"channel_app_task_uuid": "6607013a210c11ecb47e8233e5484dad",
"channel_code": "weibo",
"channel_name": "微博",
"channel_type_code": "weibo_weibo_connect_web",
"channel_type_name": "微博的微连接的网页应用",
"source": "scms",
"source_uuid": "06d7caf62924a1e6d8780f8f2d3654e1",
"source_pub_user_id": "1",
"source_article_id": "1377",
"pub_log_code": 202200,
"pub_log_message": "文章未发布至平台：返回码：20000，说明：内容中存在违反相关法律法规或《微博社区公约》的信息，请编辑后重新发布",
"article_read_count": 0,
"pub_status": 3,
"channel_app_name": "用户5470463170",
"name": "用户5470463170",
"channel_app_avatar": "https://tvax2.sinaimg.cn/crop.0.0.996.996.1024/005YdvmWly8gj1zv5q0nwj30ro0roq5o.jpg?KID=imgbed,tva&Expires=1632404992&ssig=36j4KkHmxP",
"avatar": "https://tvax2.sinaimg.cn/crop.0.0.996.996.1024/005YdvmWly8gj1zv5q0nwj30ro0roq5o.jpg?KID=imgbed,tva&Expires=1632404992&ssig=36j4KkHmxP",
"article_url": "",
"created_at": "1632909818"
},
{
"model": "channel_app_task",
"id": 1737,
"channel_app_source_uuid": "e9929c421c5911eca9e45724a3f66da3",
"uuid": "6608ff12210c11ecb9ce58880163a66a",
"channel_app_task_uuid": "6608ff12210c11ecb9ce58880163a66a",
"channel_code": "weibo",
"channel_name": "微博",
"channel_type_code": "weibo_weibo_connect_web",
"channel_type_name": "微博的微连接的网页应用",
"source": "scms",
"source_uuid": "06d7caf62924a1e6d8780f8f2d3654e1",
"source_pub_user_id": "1",
"source_article_id": "1378",
"pub_log_code": 10000,
"pub_log_message": "文章已发布至平台：返回码：10000，说明：success",
"article_read_count": 0,
"pub_status": 6,
"channel_app_name": "用户7702683732",
"name": "用户7702683732",
"channel_app_avatar": "https://tvax4.sinaimg.cn/crop.0.0.1080.1080.1024/008phFUoly8guqqswyziaj60u00u0mz002.jpg?KID=imgbed,tva&Expires=1632404103&ssig=SD4u8zbNPg",
"avatar": "https://tvax4.sinaimg.cn/crop.0.0.1080.1080.1024/008phFUoly8guqqswyziaj60u00u0mz002.jpg?KID=imgbed,tva&Expires=1632404103&ssig=SD4u8zbNPg",
"article_url": "",
"created_at": "1632909818"
},
{
"model": "channel_app_task",
"id": 1738,
"channel_app_source_uuid": "e9929c421c5911eca9e45724a3f66da3",
"uuid": "660b1f2c210c11ecbc78bc2d3382732a",
"channel_app_task_uuid": "660b1f2c210c11ecbc78bc2d3382732a",
"channel_code": "weibo",
"channel_name": "微博",
"channel_type_code": "weibo_weibo_connect_web",
"channel_type_name": "微博的微连接的网页应用",
"source": "scms",
"source_uuid": "06d7caf62924a1e6d8780f8f2d3654e1",
"source_pub_user_id": "1",
"source_article_id": "1378",
"pub_log_code": 202200,
"pub_log_message": "文章未发布至平台：返回码：20000，说明：内容中存在违反相关法律法规或《微博社区公约》的信息，请编辑后重新发布",
"article_read_count": 0,
"pub_status": 3,
"channel_app_name": "用户7702683732",
"name": "用户7702683732",
"channel_app_avatar": "https://tvax4.sinaimg.cn/crop.0.0.1080.1080.1024/008phFUoly8guqqswyziaj60u00u0mz002.jpg?KID=imgbed,tva&Expires=1632404103&ssig=SD4u8zbNPg",
"avatar": "https://tvax4.sinaimg.cn/crop.0.0.1080.1080.1024/008phFUoly8guqqswyziaj60u00u0mz002.jpg?KID=imgbed,tva&Expires=1632404103&ssig=SD4u8zbNPg",
"article_url": "",
"created_at": "1632909818"
},
{
"model": "channel_app_task",
"id": 1739,
"channel_app_source_uuid": "bd6aec8e16d511ec98b7ba30bab651ec",
"uuid": "660d43c4210c11ecafc5df34b9c52653",
"channel_app_task_uuid": "660d43c4210c11ecafc5df34b9c52653",
"channel_code": "weibo",
"channel_name": "微博",
"channel_type_code": "weibo_weibo_connect_web",
"channel_type_name": "微博的微连接的网页应用",
"source": "scms",
"source_uuid": "06d7caf62924a1e6d8780f8f2d3654e1",
"source_pub_user_id": "1",
"source_article_id": "1379",
"pub_log_code": 10000,
"pub_log_message": "文章已发布至平台：返回码：10000，说明：success",
"article_read_count": 0,
"pub_status": 6,
"channel_app_name": "用户6578157896",
"name": "用户6578157896",
"channel_app_avatar": "https://tvax3.sinaimg.cn/crop.0.0.1080.1080.1024/007bbhmUly8g894n1slq7j30u00u0gmo.jpg?KID=imgbed,tva&Expires=1632921660&ssig=R8DhlrZzMa",
"avatar": "https://tvax3.sinaimg.cn/crop.0.0.1080.1080.1024/007bbhmUly8g894n1slq7j30u00u0gmo.jpg?KID=imgbed,tva&Expires=1632921660&ssig=R8DhlrZzMa",
"article_url": "",
"created_at": "1632909818"
},
{
"model": "channel_app_task",
"id": 1740,
"channel_app_source_uuid": "bd6aec8e16d511ec98b7ba30bab651ec",
"uuid": "660f42a0210c11ec8f18162920559a34",
"channel_app_task_uuid": "660f42a0210c11ec8f18162920559a34",
"channel_code": "weibo",
"channel_name": "微博",
"channel_type_code": "weibo_weibo_connect_web",
"channel_type_name": "微博的微连接的网页应用",
"source": "scms",
"source_uuid": "06d7caf62924a1e6d8780f8f2d3654e1",
"source_pub_user_id": "1",
"source_article_id": "1379",
"pub_log_code": 202200,
"pub_log_message": "文章未发布至平台：返回码：20000，说明：内容中存在违反相关法律法规或《微博社区公约》的信息，请编辑后重新发布",
"article_read_count": 0,
"pub_status": 3,
"channel_app_name": "用户6578157896",
"name": "用户6578157896",
"channel_app_avatar": "https://tvax3.sinaimg.cn/crop.0.0.1080.1080.1024/007bbhmUly8g894n1slq7j30u00u0gmo.jpg?KID=imgbed,tva&Expires=1632921660&ssig=R8DhlrZzMa",
"avatar": "https://tvax3.sinaimg.cn/crop.0.0.1080.1080.1024/007bbhmUly8g894n1slq7j30u00u0gmo.jpg?KID=imgbed,tva&Expires=1632921660&ssig=R8DhlrZzMa",
"article_url": "",
"created_at": "1632909818"
},
{
"model": "channel_app_task",
"id": 1742,
"channel_app_source_uuid": "bd6aec8e16d511ec98b7ba30bab651ec",
"uuid": "feeb8b58210e11ecaf3288a13d61571c",
"channel_app_task_uuid": "feeb8b58210e11ecaf3288a13d61571c",
"channel_code": "weibo",
"channel_name": "微博",
"channel_type_code": "weibo_weibo_connect_web",
"channel_type_name": "微博的微连接的网页应用",
"source": "scms",
"source_uuid": "06d7caf62924a1e6d8780f8f2d3654e1",
"source_pub_user_id": "1",
"source_article_id": "1379",
"pub_log_code": 10000,
"pub_log_message": "文章已发布至平台：返回码：10000，说明：success",
"article_read_count": 0,
"pub_status": 6,
"channel_app_name": "用户6578157896",
"name": "用户6578157896",
"channel_app_avatar": "https://tvax3.sinaimg.cn/crop.0.0.1080.1080.1024/007bbhmUly8g894n1slq7j30u00u0gmo.jpg?KID=imgbed,tva&Expires=1632921660&ssig=R8DhlrZzMa",
"avatar": "https://tvax3.sinaimg.cn/crop.0.0.1080.1080.1024/007bbhmUly8g894n1slq7j30u00u0gmo.jpg?KID=imgbed,tva&Expires=1632921660&ssig=R8DhlrZzMa",
"article_url": "",
"created_at": "1632910887"
}
]
}
],
"_links": {
"self": {
"href": "http://api.ccp:82/v1/task-groups?filter%5Bgroup_id%5D=6c8b55e7387da4799772ddb389f06753&filter%5Bsource%5D=scms&filter%5Bsource_article_id%5D%5Bin%5D%5B0%5D=130347&group_id=6c8b55e7387da4799772ddb389f06753&page=1"
},
"first": {
"href": "http://api.ccp:82/v1/task-groups?filter%5Bgroup_id%5D=6c8b55e7387da4799772ddb389f06753&filter%5Bsource%5D=scms&filter%5Bsource_article_id%5D%5Bin%5D%5B0%5D=130347&group_id=6c8b55e7387da4799772ddb389f06753&page=1"
},
"last": {
"href": "http://api.ccp:82/v1/task-groups?filter%5Bgroup_id%5D=6c8b55e7387da4799772ddb389f06753&filter%5Bsource%5D=scms&filter%5Bsource_article_id%5D%5Bin%5D%5B0%5D=130347&group_id=6c8b55e7387da4799772ddb389f06753&page=1"
}
},
"_meta": {
"totalCount": 1,
"pageCount": 1,
"currentPage": 1,
"perPage": 20
}
}
}
9. I confirmed whether these 3 Weibo accounts had already published the same headline article before the 2 failed attempts. I confirmed that an article with the same content had already been published successfully.
10. First, fix the root cause: one article is sent to 6 accounts simultaneously. A total of 11 tasks were sent. This causes the article under the latter 5 accounts to be published twice. As shown in Figure 8
11. Finally, I printed out the request data. In the one-click multi-channel publishing, for one article, 6 Weibo accounts were selected. The 1st account would publish once. The other 5 accounts would publish twice. A total of 11 records. The resulting Bug: for the latter 5 accounts, the 1st time succeeds, and the 2nd time fails: code: 11002, message: create statuses error.
The effect displayed on the page: the latter 5 accounts fail to publish, but the Weibo APP publishes the article successfully. Therefore, this is a Bug on the requesting party’s side. It was fixed to a total of 6 records, 1 record per account.
Plaintext
Array
(
[task_group] => Array
(
[source_article_id] => 131241
[source_pub_user_id] => 1
[source_callback_url] => https://api.webtest.chinamcloud.cn/cms/api/thirdPush/callBack
[source_uuid] => 06d7caf62924a1e6d8780f8f2d3654e1
[source][/source] => scms
)
[weibo] => Array
(
[0] => Array
(
[weibo_summary] =>
[source_article_id] => 1619
[channel_app_source_uuids] => Array
(
[0] => 583dd8b82b7911ecb4dd2eba087e1ac8
)
[link_content] => With the help of Optimyze, Elastic stated in its press release that they will unify the emerging continuous profiling capabilities with the three pillars of observability — metrics, logs, and tracing — so that its customers can observe and protect their data through a single integrated platform, which will improve service quality and performance while reducing MTTD (Mean Time to Detect) and MTTR (Mean Time to Resolve).
[contentLength] => Elastic, the developer of the big data analytics and search engine Elasticsearch, recently announced the acquisition of the startup Optimyze, the company behind the continuous profiling tool Prodfiler. The terms of the transaction were not disclosed. Founded in Switzerland in 2018, Optimyze developed the Prodfiler tool, which can tell IT departments how efficient their machine clusters are in terms of CPU usage. The tool allows for unprecedented observation of "which line of code consumes how much CPU" across thousands of machines. With the help of Optimyze, Elastic stated in its press release that they will unify the emerging continuous profiling capabilities with the three pillars of observability — metrics, logs, and tracing — so that its customers can observe and protect their data through a single integrated platform, which will improve service quality and performance while reducing MTTD (Mean Time to Detect) and MTTR (Mean Time to Resolve). Elastic's CEO and founder Shay Banon said: "With deep expertise in large-scale distributed systems, Optimyze overcomes the limitations of traditional profiling technologies, providing system-wide continuous profiling of systems and code, increasing developer productivity, accelerating innovation, and delivering a rich customer experience." "We look forward to teaming up with Optimyze to accelerate the realization of our vision for unified, actionable observability." Optimyze raised $3 million in a seed funding round led by Silicon Valley venture capital firm Andreessen Horowitz last year. Elastic is expected to complete the acquisition of Optimyze before the end of this year.
[title] => Elastic acquires continuous profiling startup Optimyze
[content] =>
Elastic, the developer of the big data analytics and search engine Elasticsearch, recently announced the acquisition of the startup Optimyze, the company behind the continuous profiling tool Prodfiler. The terms of the transaction were not disclosed.
Founded in Switzerland in 2018, Optimyze developed the Prodfiler tool, which can tell IT departments how efficient their machine clusters are in terms of CPU usage. The tool allows for unprecedented observation of "which line of code consumes how much CPU" across thousands of machines.
With the help of Optimyze, Elastic stated in its press release that they will unify the emerging continuous profiling capabilities with the three pillars of observability — metrics, logs, and tracing — so that its customers can observe and protect their data through a single integrated platform, which will improve service quality and performance while reducing MTTD (Mean Time to Detect) and MTTR (Mean Time to Resolve).
Elastic's CEO and founder Shay Banon said: "With deep expertise in large-scale distributed systems, Optimyze overcomes the limitations of traditional profiling technologies, providing system-wide continuous profiling of systems and code, increasing developer productivity, accelerating innovation, and delivering a rich customer experience."
We look forward to teaming up with Optimyze to accelerate the realization of our vision for unified, actionable observability.
Optimyze raised $3 million in a seed funding round led by Silicon Valley venture capital firm Andreessen Horowitz last year. Elastic is expected to complete the acquisition of Optimyze before the end of this year.
[covers] => Array
(
[0] => https://web.webtest.chinamcloud.cn/cms/rmt6464/upload/HttpImage/mrtpsc/2021/10/18/de95d7d7b1ab4b788f663805f53e9cb3.png
)
)
[1] => Array
(
[weibo_summary] =>
[source_article_id] => 1620
[channel_app_source_uuids] => Array
(
[0] => 1ca8f0fc1c6111ec9311312c0ee58676
)
[link_content] => With the help of Optimyze, Elastic stated in its press release that they will unify the emerging continuous profiling capabilities with the three pillars of observability — metrics, logs, and tracing — so that its customers can observe and protect their data through a single integrated platform, which will improve service quality and performance while reducing MTTD (Mean Time to Detect) and MTTR (Mean Time to Resolve).
[contentLength] => Elastic, the developer of the big data analytics and search engine Elasticsearch, recently announced the acquisition of the startup Optimyze, the company behind the continuous profiling tool Prodfiler. The terms of the transaction were not disclosed. Founded in Switzerland in 2018, Optimyze developed the Prodfiler tool, which can tell IT departments how efficient their machine clusters are in terms of CPU usage. The tool allows for unprecedented observation of "which line of code consumes how much CPU" across thousands of machines. With the help of Optimyze, Elastic stated in its press release that they will unify the emerging continuous profiling capabilities with the three pillars of observability — metrics, logs, and tracing — so that its customers can observe and protect their data through a single integrated platform, which will improve service quality and performance while reducing MTTD (Mean Time to Detect) and MTTR (Mean Time to Resolve). Elastic's CEO and founder Shay Banon said: "With deep expertise in large-scale distributed systems, Optimyze overcomes the limitations of traditional profiling technologies, providing system-wide continuous profiling of systems and code, increasing developer productivity, accelerating innovation, and delivering a rich customer experience." "We look forward to teaming up with Optimyze to accelerate the realization of our vision for unified, actionable observability." Optimyze raised $3 million in a seed funding round led by Silicon Valley venture capital firm Andreessen Horowitz last year. Elastic is expected to complete the acquisition of Optimyze before the end of this year.
[title] => Elastic acquires continuous profiling startup Optimyze
[content] =>
Elastic, the developer of the big data analytics and search engine Elasticsearch, recently announced the acquisition of the startup Optimyze, the company behind the continuous profiling tool Prodfiler. The terms of the transaction were not disclosed.
Founded in Switzerland in 2018, Optimyze developed the Prodfiler tool, which can tell IT departments how efficient their machine clusters are in terms of CPU usage. The tool allows for unprecedented observation of "which line of code consumes how much CPU" across thousands of machines.
With the help of Optimyze, Elastic stated in its press release that they will unify the emerging continuous profiling capabilities with the three pillars of observability — metrics, logs, and tracing — so that its customers can observe and protect their data through a single integrated platform, which will improve service quality and performance while reducing MTTD (Mean Time to Detect) and MTTR (Mean Time to Resolve).
Elastic's CEO and founder Shay Banon said: "With deep expertise in large-scale distributed systems, Optimyze overcomes the limitations of traditional profiling technologies, providing system-wide continuous profiling of systems and code, increasing developer productivity, accelerating innovation, and delivering a rich customer experience."
We look forward to teaming up with Optimyze to accelerate the realization of our vision for unified, actionable observability.
Optimyze raised $3 million in a seed funding round led by Silicon Valley venture capital firm Andreessen Horowitz last year. Elastic is expected to complete the acquisition of Optimyze before the end of this year.
[covers] => Array
(
[0] => https://web.webtest.chinamcloud.cn/cms/rmt6464/upload/HttpImage/mrtpsc/2021/10/18/de95d7d7b1ab4b788f663805f53e9cb3.png
)
)
[2] => Array
(
[weibo_summary] =>
[source_article_id] => 1620
[channel_app_source_uuids] => Array
(
[0] => 1ca8f0fc1c6111ec9311312c0ee58676
)
[link_content] => With the help of Optimyze, Elastic stated in its press release that they will unify the emerging continuous profiling capabilities with the three pillars of observability — metrics, logs, and tracing — so that its customers can observe and protect their data through a single integrated platform, which will improve service quality and performance while reducing MTTD (Mean Time to Detect) and MTTR (Mean Time to Resolve).
[contentLength] => Elastic, the developer of the big data analytics and search engine Elasticsearch, recently announced the acquisition of the startup Optimyze, the company behind the continuous profiling tool Prodfiler. The terms of the transaction were not disclosed. Founded in Switzerland in 2018, Optimyze developed the Prodfiler tool, which can tell IT departments how efficient their machine clusters are in terms of CPU usage. The tool allows for unprecedented observation of "which line of code consumes how much CPU" across thousands of machines. With the help of Optimyze, Elastic stated in its press release that they will unify the emerging continuous profiling capabilities with the three pillars of observability — metrics, logs, and tracing — so that its customers can observe and protect their data through a single integrated platform, which will improve service quality and performance while reducing MTTD (Mean Time to Detect) and MTTR (Mean Time to Resolve). Elastic's CEO and founder Shay Banon said: "With deep expertise in large-scale distributed systems, Optimyze overcomes the limitations of traditional profiling technologies, providing system-wide continuous profiling of systems and code, increasing developer productivity, accelerating innovation, and delivering a rich customer experience." "We look forward to teaming up with Optimyze to accelerate the realization of our vision for unified, actionable observability." Optimyze raised $3 million in a seed funding round led by Silicon Valley venture capital firm Andreessen Horowitz last year. Elastic is expected to complete the acquisition of Optimyze before the end of this year.
[title] => Elastic acquires continuous profiling startup Optimyze
[content] =>
Elastic, the developer of the big data analytics and search engine Elasticsearch, recently announced the acquisition of the startup Optimyze, the company behind the continuous profiling tool Prodfiler. The terms of the transaction were not disclosed.
Founded in Switzerland in 2018, Optimyze developed the Prodfiler tool, which can tell IT departments how efficient their machine clusters are in terms of CPU usage. The tool allows for unprecedented observation of "which line of code consumes how much CPU" across thousands of machines.
With the help of Optimyze, Elastic stated in its press release that they will unify the emerging continuous profiling capabilities with the three pillars of observability — metrics, logs, and tracing — so that its customers can observe and protect their data through a single integrated platform, which will improve service quality and performance while reducing MTTD (Mean Time to Detect) and MTTR (Mean Time to Resolve).
Elastic's CEO and founder Shay Banon said: "With deep expertise in large-scale distributed systems, Optimyze overcomes the limitations of traditional profiling technologies, providing system-wide continuous profiling of systems and code, increasing developer productivity, accelerating innovation, and delivering a rich customer experience."
We look forward to teaming up with Optimyze to accelerate the realization of our vision for unified, actionable observability.
Optimyze raised $3 million in a seed funding round led by Silicon Valley venture capital firm Andreessen Horowitz last year. Elastic is expected to complete the acquisition of Optimyze before the end of this year.
[covers] => Array
(
[0] => https://web.webtest.chinamcloud.cn/cms/rmt6464/upload/HttpImage/mrtpsc/2021/10/18/de95d7d7b1ab4b788f663805f53e9cb3.png
)
)
[3] => Array
(
[weibo_summary] =>
[source_article_id] => 1621
[channel_app_source_uuids] => Array
(
[0] => 7017abb41c5e11ecb39714c6fc80b6a9
)
[link_content] => With the help of Optimyze, Elastic stated in its press release that they will unify the emerging continuous profiling capabilities with the three pillars of observability — metrics, logs, and tracing — so that its customers can observe and protect their data through a single integrated platform, which will improve service quality and performance while reducing MTTD (Mean Time to Detect) and MTTR (Mean Time to Resolve).
[contentLength] => Elastic, the developer of the big data analytics and search engine Elasticsearch, recently announced the acquisition of the startup Optimyze, the company behind the continuous profiling tool Prodfiler. The terms of the transaction were not disclosed. Founded in Switzerland in 2018, Optimyze developed the Prodfiler tool, which can tell IT departments how efficient their machine clusters are in terms of CPU usage. The tool allows for unprecedented observation of "which line of code consumes how much CPU" across thousands of machines. With the help of Optimyze, Elastic stated in its press release that they will unify the emerging continuous profiling capabilities with the three pillars of observability — metrics, logs, and tracing — so that its customers can observe and protect their data through a single integrated platform, which will improve service quality and performance while reducing MTTD (Mean Time to Detect) and MTTR (Mean Time to Resolve). Elastic's CEO and founder Shay Banon said: "With deep expertise in large-scale distributed systems, Optimyze overcomes the limitations of traditional profiling technologies, providing system-wide continuous profiling of systems and code, increasing developer productivity, accelerating innovation, and delivering a rich customer experience." "We look forward to teaming up with Optimyze to accelerate the realization of our vision for unified, actionable observability." Optimyze raised $3 million in a seed funding round led by Silicon Valley venture capital firm Andreessen Horowitz last year. Elastic is expected to complete the acquisition of Optimyze before the end of this year.
[title] => Elastic acquires continuous profiling startup Optimyze
[content] =>
Elastic, the developer of the big data analytics and search engine Elasticsearch, recently announced the acquisition of the startup Optimyze, the company behind the continuous profiling tool Prodfiler. The terms of the transaction were not disclosed.
Founded in Switzerland in 2018, Optimyze developed the Prodfiler tool, which can tell IT departments how efficient their machine clusters are in terms of CPU usage. The tool allows for unprecedented observation of "which line of code consumes how much CPU" across thousands of machines.
With the help of Optimyze, Elastic stated in its press release that they will unify the emerging continuous profiling capabilities with the three pillars of observability — metrics, logs, and tracing — so that its customers can observe and protect their data through a single integrated platform, which will improve service quality and performance while reducing MTTD (Mean Time to Detect) and MTTR (Mean Time to Resolve).
Elastic's CEO and founder Shay Banon said: "With deep expertise in large-scale distributed systems, Optimyze overcomes the limitations of traditional profiling technologies, providing system-wide continuous profiling of systems and code, increasing developer productivity, accelerating innovation, and delivering a rich customer experience."
We look forward to teaming up with Optimyze to accelerate the realization of our vision for unified, actionable observability.
Optimyze raised $3 million in a seed funding round led by Silicon Valley venture capital firm Andreessen Horowitz last year. Elastic is expected to complete the acquisition of Optimyze before the end of this year.
[covers] => Array
(
[0] => https://web.webtest.chinamcloud.cn/cms/rmt6464/upload/HttpImage/mrtpsc/2021/10/18/de95d7d7b1ab4b788f663805f53e9cb3.png
)
)
[4] => Array
(
[weibo_summary] =>
[source_article_id] => 1621
[channel_app_source_uuids] => Array
(
[0] => 7017abb41c5e11ecb39714c6fc80b6a9
)
[link_content] => With the help of Optimyze, Elastic stated in its press release that they will unify the emerging continuous profiling capabilities with the three pillars of observability — metrics, logs, and tracing — so that its customers can observe and protect their data through a single integrated platform, which will improve service quality and performance while reducing MTTD (Mean Time to Detect) and MTTR (Mean Time to Resolve).
[contentLength] => Elastic, the developer of the big data analytics and search engine Elasticsearch, recently announced the acquisition of the startup Optimyze, the company behind the continuous profiling tool Prodfiler. The terms of the transaction were not disclosed. Founded in Switzerland in 2018, Optimyze developed the Prodfiler tool, which can tell IT departments how efficient their machine clusters are in terms of CPU usage. The tool allows for unprecedented observation of "which line of code consumes how much CPU" across thousands of machines. With the help of Optimyze, Elastic stated in its press release that they will unify the emerging continuous profiling capabilities with the three pillars of observability — metrics, logs, and tracing — so that its customers can observe and protect their data through a single integrated platform, which will improve service quality and performance while reducing MTTD (Mean Time to Detect) and MTTR (Mean Time to Resolve). Elastic's CEO and founder Shay Banon said: "With deep expertise in large-scale distributed systems, Optimyze overcomes the limitations of traditional profiling technologies, providing system-wide continuous profiling of systems and code, increasing developer productivity, accelerating innovation, and delivering a rich customer experience." "We look forward to teaming up with Optimyze to accelerate the realization of our vision for unified, actionable observability." Optimyze raised $3 million in a seed funding round led by Silicon Valley venture capital firm Andreessen Horowitz last year. Elastic is expected to complete the acquisition of Optimyze before the end of this year.
[title] => Elastic acquires continuous profiling startup Optimyze
[content] =>
Elastic, the developer of the big data analytics and search engine Elasticsearch, recently announced the acquisition of the startup Optimyze, the company behind the continuous profiling tool Prodfiler. The terms of the transaction were not disclosed.
Founded in Switzerland in 2018, Optimyze developed the Prodfiler tool, which can tell IT departments how efficient their machine clusters are in terms of CPU usage. The tool allows for unprecedented observation of "which line of code consumes how much CPU" across thousands of machines.
With the help of Optimyze, Elastic stated in its press release that they will unify the emerging continuous profiling capabilities with the three pillars of observability — metrics, logs, and tracing — so that its customers can observe and protect their data through a single integrated platform, which will improve service quality and performance while reducing MTTD (Mean Time to Detect) and MTTR (Mean Time to Resolve).
Elastic's CEO and founder Shay Banon said: "With deep expertise in large-scale distributed systems, Optimyze overcomes the limitations of traditional profiling technologies, providing system-wide continuous profiling of systems and code, increasing developer productivity, accelerating innovation, and delivering a rich customer experience."
We look forward to teaming up with Optimyze to accelerate the realization of our vision for unified, actionable observability.
Optimyze raised $3 million in a seed funding round led by Silicon Valley venture capital firm Andreessen Horowitz last year. Elastic is expected to complete the acquisition of Optimyze before the end of this year.
[covers] => Array
(
[0] => https://web.webtest.chinamcloud.cn/cms/rmt6464/upload/HttpImage/mrtpsc/2021/10/18/de95d7d7b1ab4b788f663805f53e9cb3.png
)
)
[5] => Array
(
[weibo_summary] =>
[source_article_id] => 1622
[channel_app_source_uuids] => Array
(
[0] => fb09e97e1c5b11eca819deb61bdc04ef
)
[link_content] => With the help of Optimyze, Elastic stated in its press release that they will unify the emerging continuous profiling capabilities with the three pillars of observability — metrics, logs, and tracing — so that its customers can observe and protect their data through a single integrated platform, which will improve service quality and performance while reducing MTTD (Mean Time to Detect) and MTTR (Mean Time to Resolve).
[contentLength] => Elastic, the developer of the big data analytics and search engine Elasticsearch, recently announced the acquisition of the startup Optimyze, the company behind the continuous profiling tool Prodfiler. The terms of the transaction were not disclosed. Founded in Switzerland in 2018, Optimyze developed the Prodfiler tool, which can tell IT departments how efficient their machine clusters are in terms of CPU usage. The tool allows for unprecedented observation of "which line of code consumes how much CPU" across thousands of machines. With the help of Optimyze, Elastic stated in its press release that they will unify the emerging continuous profiling capabilities with the three pillars of observability — metrics, logs, and tracing — so that its customers can observe and protect their data through a single integrated platform, which will improve service quality and performance while reducing MTTD (Mean Time to Detect) and MTTR (Mean Time to Resolve). Elastic's CEO and founder Shay Banon said: "With deep expertise in large-scale distributed systems, Optimyze overcomes the limitations of traditional profiling technologies, providing system-wide continuous profiling of systems and code, increasing developer productivity, accelerating innovation, and delivering a rich customer experience." "We look forward to teaming up with Optimyze to accelerate the realization of our vision for unified, actionable observability." Optimyze raised $3 million in a seed funding round led by Silicon Valley venture capital firm Andreessen Horowitz last year. Elastic is expected to complete the acquisition of Optimyze before the end of this year.
[title] => Elastic acquires continuous profiling startup Optimyze
[content] =>
Elastic, the developer of the big data analytics and search engine Elasticsearch, recently announced the acquisition of the startup Optimyze, the company behind the continuous profiling tool Prodfiler. The terms of the transaction were not disclosed.
Founded in Switzerland in 2018, Optimyze developed the Prodfiler tool, which can tell IT departments how efficient their machine clusters are in terms of CPU usage. The tool allows for unprecedented observation of "which line of code consumes how much CPU" across thousands of machines.
With the help of Optimyze, Elastic stated in its press release that they will unify the emerging continuous profiling capabilities with the three pillars of observability — metrics, logs, and tracing — so that its customers can observe and protect their data through a single integrated platform, which will improve service quality and performance while reducing MTTD (Mean Time to Detect) and MTTR (Mean Time to Resolve).
Elastic's CEO and founder Shay Banon said: "With deep expertise in large-scale distributed systems, Optimyze overcomes the limitations of traditional profiling technologies, providing system-wide continuous profiling of systems and code, increasing developer productivity, accelerating innovation, and delivering a rich customer experience."
We look forward to teaming up with Optimyze to accelerate the realization of our vision for unified, actionable observability.
Optimyze raised $3 million in a seed funding round led by Silicon Valley venture capital firm Andreessen Horowitz last year. Elastic is expected to complete the acquisition of Optimyze before the end of this year.
[covers] => Array
(
[0] => https://web.webtest.chinamcloud.cn/cms/rmt6464/upload/HttpImage/mrtpsc/2021/10/18/de95d7d7b1ab4b788f663805f53e9cb3.png
)
)
[6] => Array
(
[weibo_summary] =>
[source_article_id] => 1622
[channel_app_source_uuids] => Array
(
[0] => fb09e97e1c5b11eca819deb61bdc04ef
)
[link_content] => With the help of Optimyze, Elastic stated in its press release that they will unify the emerging continuous profiling capabilities with the three pillars of observability — metrics, logs, and tracing — so that its customers can observe and protect their data through a single integrated platform, which will improve service quality and performance while reducing MTTD (Mean Time to Detect) and MTTR (Mean Time to Resolve).
[contentLength] => Elastic, the developer of the big data analytics and search engine Elasticsearch, recently announced the acquisition of the startup Optimyze, the company behind the continuous profiling tool Prodfiler. The terms of the transaction were not disclosed. Founded in Switzerland in 2018, Optimyze developed the Prodfiler tool, which can tell IT departments how efficient their machine clusters are in terms of CPU usage. The tool allows for unprecedented observation of "which line of code consumes how much CPU" across thousands of machines. With the help of Optimyze, Elastic stated in its press release that they will unify the emerging continuous profiling capabilities with the three pillars of observability — metrics, logs, and tracing — so that its customers can observe and protect their data through a single integrated platform, which will improve service quality and performance while reducing MTTD (Mean Time to Detect) and MTTR (Mean Time to Resolve). Elastic's CEO and founder Shay Banon said: "With deep expertise in large-scale distributed systems, Optimyze overcomes the limitations of traditional profiling technologies, providing system-wide continuous profiling of systems and code, increasing developer productivity, accelerating innovation, and delivering a rich customer experience." "We look forward to teaming up with Optimyze to accelerate the realization of our vision for unified, actionable observability." Optimyze raised $3 million in a seed funding round led by Silicon Valley venture capital firm Andreessen Horowitz last year. Elastic is expected to complete the acquisition of Optimyze before the end of this year.
[title] => Elastic acquires continuous profiling startup Optimyze
[content] =>
Elastic, the developer of the big data analytics and search engine Elasticsearch, recently announced the acquisition of the startup Optimyze, the company behind the continuous profiling tool Prodfiler. The terms of the transaction were not disclosed.
Founded in Switzerland in 2018, Optimyze developed the Prodfiler tool, which can tell IT departments how efficient their machine clusters are in terms of CPU usage. The tool allows for unprecedented observation of "which line of code consumes how much CPU" across thousands of machines.
With the help of Optimyze, Elastic stated in its press release that they will unify the emerging continuous profiling capabilities with the three pillars of observability — metrics, logs, and tracing — so that its customers can observe and protect their data through a single integrated platform, which will improve service quality and performance while reducing MTTD (Mean Time to Detect) and MTTR (Mean Time to Resolve).
Elastic's CEO and founder Shay Banon said: "With deep expertise in large-scale distributed systems, Optimyze overcomes the limitations of traditional profiling technologies, providing system-wide continuous profiling of systems and code, increasing developer productivity, accelerating innovation, and delivering a rich customer experience."
We look forward to teaming up with Optimyze to accelerate the realization of our vision for unified, actionable observability.
Optimyze raised $3 million in a seed funding round led by Silicon Valley venture capital firm Andreessen Horowitz last year. Elastic is expected to complete the acquisition of Optimyze before the end of this year.
[covers] => Array
(
[0] => https://web.webtest.chinamcloud.cn/cms/rmt6464/upload/HttpImage/mrtpsc/2021/10/18/de95d7d7b1ab4b788f663805f53e9cb3.png
)
)
[7] => Array
(
[weibo_summary] =>
[source_article_id] => 1623
[channel_app_source_uuids] => Array
(
[0] => e9929c421c5911eca9e45724a3f66da3
)
[link_content] => With the help of Optimyze, Elastic stated in its press release that they will unify the emerging continuous profiling capabilities with the three pillars of observability — metrics, logs, and tracing — so that its customers can observe and protect their data through a single integrated platform, which will improve service quality and performance while reducing MTTD (Mean Time to Detect) and MTTR (Mean Time to Resolve).
[contentLength] => Elastic, the developer of the big data analytics and search engine Elasticsearch, recently announced the acquisition of the startup Optimyze, the company behind the continuous profiling tool Prodfiler. The terms of the transaction were not disclosed. Founded in Switzerland in 2018, Optimyze developed the Prodfiler tool, which can tell IT departments how efficient their machine clusters are in terms of CPU usage. The tool allows for unprecedented observation of "which line of code consumes how much CPU" across thousands of machines. With the help of Optimyze, Elastic stated in its press release that they will unify the emerging continuous profiling capabilities with the three pillars of observability — metrics, logs, and tracing — so that its customers can observe and protect their data through a single integrated platform, which will improve service quality and performance while reducing MTTD (Mean Time to Detect) and MTTR (Mean Time to Resolve). Elastic's CEO and founder Shay Banon said: "With deep expertise in large-scale distributed systems, Optimyze overcomes the limitations of traditional profiling technologies, providing system-wide continuous profiling of systems and code, increasing developer productivity, accelerating innovation, and delivering a rich customer experience." "We look forward to teaming up with Optimyze to accelerate the realization of our vision for unified, actionable observability." Optimyze raised $3 million in a seed funding round led by Silicon Valley venture capital firm Andreessen Horowitz last year. Elastic is expected to complete the acquisition of Optimyze before the end of this year.
[title] => Elastic acquires continuous profiling startup Optimyze
[content] =>
Elastic, the developer of the big data analytics and search engine Elasticsearch, recently announced the acquisition of the startup Optimyze, the company behind the continuous profiling tool Prodfiler. The terms of the transaction were not disclosed.
Founded in Switzerland in 2018, Optimyze developed the Prodfiler tool, which can tell IT departments how efficient their machine clusters are in terms of CPU usage. The tool allows for unprecedented observation of "which line of code consumes how much CPU" across thousands of machines.
With the help of Optimyze, Elastic stated in its press release that they will unify the emerging continuous profiling capabilities with the three pillars of observability — metrics, logs, and tracing — so that its customers can observe and protect their data through a single integrated platform, which will improve service quality and performance while reducing MTTD (Mean Time to Detect) and MTTR (Mean Time to Resolve).
Elastic's CEO and founder Shay Banon said: "With deep expertise in large-scale distributed systems, Optimyze overcomes the limitations of traditional profiling technologies, providing system-wide continuous profiling of systems and code, increasing developer productivity, accelerating innovation, and delivering a rich customer experience."
We look forward to teaming up with Optimyze to accelerate the realization of our vision for unified, actionable observability.
Optimyze raised $3 million in a seed funding round led by Silicon Valley venture capital firm Andreessen Horowitz last year. Elastic is expected to complete the acquisition of Optimyze before the end of this year.
[covers] => Array
(
[0] => https://web.webtest.chinamcloud.cn/cms/rmt6464/upload/HttpImage/mrtpsc/2021/10/18/de95d7d7b1ab4b788f663805f53e9cb3.png
)
)
[8] => Array
(
[weibo_summary] =>
[source_article_id] => 1623
[channel_app_source_uuids] => Array
(
[0] => e9929c421c5911eca9e45724a3f66da3
)
[link_content] => With the help of Optimyze, Elastic stated in its press release that they will unify the emerging continuous profiling capabilities with the three pillars of observability — metrics, logs, and tracing — so that its customers can observe and protect their data through a single integrated platform, which will improve service quality and performance while reducing MTTD (Mean Time to Detect) and MTTR (Mean Time to Resolve).
[contentLength] => Elastic, the developer of the big data analytics and search engine Elasticsearch, recently announced the acquisition of the startup Optimyze, the company behind the continuous profiling tool Prodfiler. The terms of the transaction were not disclosed. Founded in Switzerland in 2018, Optimyze developed the Prodfiler tool, which can tell IT departments how efficient their machine clusters are in terms of CPU usage. The tool allows for unprecedented observation of "which line of code consumes how much CPU" across thousands of machines. With the help of Optimyze, Elastic stated in its press release that they will unify the emerging continuous profiling capabilities with the three pillars of observability — metrics, logs, and tracing — so that its customers can observe and protect their data through a single integrated platform, which will improve service quality and performance while reducing MTTD (Mean Time to Detect) and MTTR (Mean Time to Resolve). Elastic's CEO and founder Shay Banon said: "With deep expertise in large-scale distributed systems, Optimyze overcomes the limitations of traditional profiling technologies, providing system-wide continuous profiling of systems and code, increasing developer productivity, accelerating innovation, and delivering a rich customer experience." "We look forward to teaming up with Optimyze to accelerate the realization of our vision for unified, actionable observability." Optimyze raised $3 million in a seed funding round led by Silicon Valley venture capital firm Andreessen Horowitz last year. Elastic is expected to complete the acquisition of Optimyze before the end of this year.
[title] => Elastic acquires continuous profiling startup Optimyze
[content] =>
Elastic, the developer of the big data analytics and search engine Elasticsearch, recently announced the acquisition of the startup Optimyze, the company behind the continuous profiling tool Prodfiler. The terms of the transaction were not disclosed.
Founded in Switzerland in 2018, Optimyze developed the Prodfiler tool, which can tell IT departments how efficient their machine clusters are in terms of CPU usage. The tool allows for unprecedented observation of "which line of code consumes how much CPU" across thousands of machines.
With the help of Optimyze, Elastic stated in its press release that they will unify the emerging continuous profiling capabilities with the three pillars of observability — metrics, logs, and tracing — so that its customers can observe and protect their data through a single integrated platform, which will improve service quality and performance while reducing MTTD (Mean Time to Detect) and MTTR (Mean Time to Resolve).
Elastic's CEO and founder Shay Banon said: "With deep expertise in large-scale distributed systems, Optimyze overcomes the limitations of traditional profiling technologies, providing system-wide continuous profiling of systems and code, increasing developer productivity, accelerating innovation, and delivering a rich customer experience."
We look forward to teaming up with Optimyze to accelerate the realization of our vision for unified, actionable observability.
Optimyze raised $3 million in a seed funding round led by Silicon Valley venture capital firm Andreessen Horowitz last year. Elastic is expected to complete the acquisition of Optimyze before the end of this year.
[covers] => Array
(
[0] => https://web.webtest.chinamcloud.cn/cms/rmt6464/upload/HttpImage/mrtpsc/2021/10/18/de95d7d7b1ab4b788f663805f53e9cb3.png
)
)
[9] => Array
(
[weibo_summary] =>
[source_article_id] => 1624
[channel_app_source_uuids] => Array
(
[0] => bd6aec8e16d511ec98b7ba30bab651ec
)
[link_content] => With the help of Optimyze, Elastic stated in its press release that they will unify the emerging continuous profiling capabilities with the three pillars of observability — metrics, logs, and tracing — so that its customers can observe and protect their data through a single integrated platform, which will improve service quality and performance while reducing MTTD (Mean Time to Detect) and MTTR (Mean Time to Resolve).
[contentLength] => Elastic, the developer of the big data analytics and search engine Elasticsearch, recently announced the acquisition of the startup Optimyze, the company behind the continuous profiling tool Prodfiler. The terms of the transaction were not disclosed. Founded in Switzerland in 2018, Optimyze developed the Prodfiler tool, which can tell IT departments how efficient their machine clusters are in terms of CPU usage. The tool allows for unprecedented observation of "which line of code consumes how much CPU" across thousands of machines. With the help of Optimyze, Elastic stated in its press release that they will unify the emerging continuous profiling capabilities with the three pillars of observability — metrics, logs, and tracing — so that its customers can observe and protect their data through a single integrated platform, which will improve service quality and performance while reducing MTTD (Mean Time to Detect) and MTTR (Mean Time to Resolve). Elastic's CEO and founder Shay Banon said: "With deep expertise in large-scale distributed systems, Optimyze overcomes the limitations of traditional profiling technologies, providing system-wide continuous profiling of systems and code, increasing developer productivity, accelerating innovation, and delivering a rich customer experience." "We look forward to teaming up with Optimyze to accelerate the realization of our vision for unified, actionable observability." Optimyze raised $3 million in a seed funding round led by Silicon Valley venture capital firm Andreessen Horowitz last year. Elastic is expected to complete the acquisition of Optimyze before the end of this year.
[title] => Elastic acquires continuous profiling startup Optimyze
[content] =>
Elastic, the developer of the big data analytics and search engine Elasticsearch, recently announced the acquisition of the startup Optimyze, the company behind the continuous profiling tool Prodfiler. The terms of the transaction were not disclosed.
Founded in Switzerland in 2018, Optimyze developed the Prodfiler tool, which can tell IT departments how efficient their machine clusters are in terms of CPU usage. The tool allows for unprecedented observation of "which line of code consumes how much CPU" across thousands of machines.
With the help of Optimyze, Elastic stated in its press release that they will unify the emerging continuous profiling capabilities with the three pillars of observability — metrics, logs, and tracing — so that its customers can observe and protect their data through a single integrated platform, which will improve service quality and performance while reducing MTTD (Mean Time to Detect) and MTTR (Mean Time to Resolve).
Elastic's CEO and founder Shay Banon said: "With deep expertise in large-scale distributed systems, Optimyze overcomes the limitations of traditional profiling technologies, providing system-wide continuous profiling of systems and code, increasing developer productivity, accelerating innovation, and delivering a rich customer experience."
We look forward to teaming up with Optimyze to accelerate the realization of our vision for unified, actionable observability.
Optimyze raised $3 million in a seed funding round led by Silicon Valley venture capital firm Andreessen Horowitz last year. Elastic is expected to complete the acquisition of Optimyze before the end of this year.
[covers] => Array
(
[0] => https://web.webtest.chinamcloud.cn/cms/rmt6464/upload/HttpImage/mrtpsc/2021/10/18/de95d7d7b1ab4b788f663805f53e9cb3.png
)
)
[10] => Array
(
[weibo_summary] =>
[source_article_id] => 1624
[channel_app_source_uuids] => Array
(
[0] => bd6aec8e16d511ec98b7ba30bab651ec
)
[link_content] => With the help of Optimyze, Elastic stated in its press release that they will unify the emerging continuous profiling capabilities with the three pillars of observability — metrics, logs, and tracing — so that its customers can observe and protect their data through a single integrated platform, which will improve service quality and performance while reducing MTTD (Mean Time to Detect) and MTTR (Mean Time to Resolve).
[contentLength] => Elastic, the developer of the big data analytics and search engine Elasticsearch, recently announced the acquisition of the startup Optimyze, the company behind the continuous profiling tool Prodfiler. The terms of the transaction were not disclosed. Founded in Switzerland in 2018, Optimyze developed the Prodfiler tool, which can tell IT departments how efficient their machine clusters are in terms of CPU usage. The tool allows for unprecedented observation of "which line of code consumes how much CPU" across thousands of machines. With the help of Optimyze, Elastic stated in its press release that they will unify the emerging continuous profiling capabilities with the three pillars of observability — metrics, logs, and tracing — so that its customers can observe and protect their data through a single integrated platform, which will improve service quality and performance while reducing MTTD (Mean Time to Detect) and MTTR (Mean Time to Resolve). Elastic's CEO and founder Shay Banon said: "With deep expertise in large-scale distributed systems, Optimyze overcomes the limitations of traditional profiling technologies, providing system-wide continuous profiling of systems and code, increasing developer productivity, accelerating innovation, and delivering a rich customer experience." "We look forward to teaming up with Optimyze to accelerate the realization of our vision for unified, actionable observability." Optimyze raised $3 million in a seed funding round led by Silicon Valley venture capital firm Andreessen Horowitz last year. Elastic is expected to complete the acquisition of Optimyze before the end of this year.
[title] => Elastic acquires continuous profiling startup Optimyze
[content] =>
Elastic, the developer of the big data analytics and search engine Elasticsearch, recently announced the acquisition of the startup Optimyze, the company behind the continuous profiling tool Prodfiler. The terms of the transaction were not disclosed.
Founded in Switzerland in 2018, Optimyze developed the Prodfiler tool, which can tell IT departments how efficient their machine clusters are in terms of CPU usage. The tool allows for unprecedented observation of "which line of code consumes how much CPU" across thousands of machines.
With the help of Optimyze, Elastic stated in its press release that they will unify the emerging continuous profiling capabilities with the three pillars of observability — metrics, logs, and tracing — so that its customers can observe and protect their data through a single integrated platform, which will improve service quality and performance while reducing MTTD (Mean Time to Detect) and MTTR (Mean Time to Resolve).
Elastic's CEO and founder Shay Banon said: "With deep expertise in large-scale distributed systems, Optimyze overcomes the limitations of traditional profiling technologies, providing system-wide continuous profiling of systems and code, increasing developer productivity, accelerating innovation, and delivering a rich customer experience."
We look forward to teaming up with Optimyze to accelerate the realization of our vision for unified, actionable observability.
Optimyze raised $3 million in a seed funding round led by Silicon Valley venture capital firm Andreessen Horowitz last year. Elastic is expected to complete the acquisition of Optimyze before the end of this year.
[covers] => Array
(
[0] => https://web.webtest.chinamcloud.cn/cms/rmt6464/upload/HttpImage/mrtpsc/2021/10/18/de95d7d7b1ab4b788f663805f53e9cb3.png
)
)
)
)
12. The results of the re-investigation and analysis of the Weibo self-media access platform – headline article open API response, code: 11002, message: create statuses error. It lies in the repeated publishing of the same article under the same account (the 2nd attempt may succeed or fail, and the probability of failure on the 3rd attempt is greater than on the 2nd). Especially within a short period, such as under 1 minute.