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Channel

DevOps 实战|K8s·CI/CD·可观测·SRE

@DevOpsTalkCN

On this record: Growth · Engagement · Posts · Citations · Cite this entry

20subscribers

+1 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1004312062942
TypeChannel
Username@DevOpsTalkCN
CreatedBetween 1 June 2026 and 9 August 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded11 August 2026
Last confirmed live12 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/DevOpsTalkCN

Growth

192019.56 August 2026 — 19 subscribers11 August 2026 — 19 subscribers12 August 2026 — 20 subscribers6 August 202612 August 2026
3 measurements spanning 6 days, net +1. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 19–20 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 20:5320+1
11 Aug 2026, 16:3119no change
6 Aug 2026, 19:5219first reading

Engagement

13 posts held, back to 9 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
6.92%
avg views ÷ 20 subscribers
Avg views / post
1.4
13 posts measured
Reaction rate
this channel exposes no reaction counts
Posts in window
13
of 13 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 August 2026
Posts held13 (9 August 202611 August 2026)
Views total18
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Aug 2026, 16:31 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

Recent posts

11 Aug 2026, 16:17 UTC1 viewsread 11 August 2026

Postgres 多租户 BYOK 列加密:用 pgcrypto 实现客户自管密钥 B2B SaaS 场景下,多租户共享表结构,部分敏感列需要按租户加密。仅靠磁盘加密不够——客户要求自带密钥(BYOK),即使整个数据库泄露,只要客户侧密钥不泄露,敏感数据仍然安全。本文用 pgcrypto 演示了按组织维度做列级加密的完整方案。 设计约束很明确:所有组织共用表,行按 organization_id 归属;敏感列按组织用各自密钥加密;密钥存放在 AWS KMS,应用在查询时获取,数据库本身不持有密钥;非 BYOK 租户走同一套代码路径。方案采用信封加密:KMS 持有每组织的 KEK(客户自有、可吊销),应用在内存中短暂持有 DEK,DEK 由 KEK 加密后存于 KMS,使用时调用 KMS Decrypt 解包后直接传入查询。KMS 看不到数据,Postgres 只在查询执行期间接触 DEK,明文 DEK 仅存在于应用内存、随请

11 Aug 2026, 05:00 UTC1 viewsread 11 August 2026

📢 优质频道推荐 1. 大马华人圈 · 马来西亚新闻 2. 泰国新闻|曼谷 清迈 芭提雅 3. AI自动化前线|AI工具·自动化·效率 4. 澳洲新闻 · 华人生活圈 5. 东南亚大事件 6. 落地加拿大|加拿大新闻 7. 远程项目库|兼职·外包·接单 8. 越南每日 河内 胡志明市 9. 我在迪拜 · 阿联酋资讯 10. 加密交易学堂|合约·现货·K线教学 想让你的频道出现在这里?私聊 @pindaotuijianbot 提交申请(免费)

11 Aug 2026, 03:03 UTC1 viewsread 11 August 2026
Photo

LFX 导师计划:从写文档到上手部署可观测系统 一位前端工程师加入 LFX 导师计划,原以为只是写三个月文档,结果几周后就在 AWS EC2 上部署 OpenTelemetry Collector、排查机器间网络问题、定位看似健康却不出指标的管道。这段经历让他从零基础接触可观测性,到独立构建和排障系统。 他部署的系统架构是:多个 EC2 实例跑 Django 应用,每个应用旁部署 OpenTelemetry Collector,另有一台专用 EC2 跑 Prometheus 作为指标后端,所有实例以 Prometheus 格式导出指标。 最大的挑战不在单个工具,而在组件间的交互:EC2 因网络限制无法互通、Collector 运行但不导出数据、管道静默丢弃遥测、本地正常但 AWS 部署失败。多数故障是"沉默"的——指标缺失、管道断裂、服务看似健康实则不可达。 导师制核心是自主性:导师给方向和反馈,但不替学员解决问题。讨论

10 Aug 2026, 18:54 UTC1 viewsread 11 August 2026

KubeCon 北美 2026 议程公布,新增 AI 推理与 Agent 专场 KubeCon + CloudNativeCon 北美 2026 将于 11 月 9-12 日在盐湖城举行,完整议程已上线。今年新增 AI Inference + Agentic 专场,聚焦 Kubernetes 上的 AI 推理、Agent 工作流、GPU 调度、模型服务与生产级 AI 可观测性,涉及 vLLM、KServe、Ray 和 OpenTelemetry 等项目。 平台工程专场关注内部开发者平台、自助服务与自动化实践;安全专场覆盖供应链安全、身份与运行时防护、漏洞管理和策略执行。CNCF 调查显示,82% 的容器用户在生产环境运行 Kubernetes,66% 使用生成式 AI 的组织依赖它。CNCF 执行董事 Jonathan Bryce 表示,从训练模型转向生产运行是当前真正的工程挑战。 值得关注的议程亮点: • 专场演讲:Ku

10 Aug 2026, 17:00 UTC2 viewsread 11 August 2026

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10 Aug 2026, 16:06 UTC2 viewsread 11 August 2026

把团队知识库接进 IDE:Kiro 用 MCP 连 Bedrock Knowledge Bases 开发时查架构决策记录、API 规范或编码标准,通常要切到 wiki 搜半天,再切回编辑器改代码,一次上下文切换就是十几分钟。Kiro 这个 agentic IDE 通过 MCP 协议把 Amazon Bedrock Knowledge Bases 接进编辑器,让开发者直接用自然语言查团队文档,答案带引用来源。 这套方案解决四个具体问题:上下文切换(不用离开编辑器查文档)、知识碎片化(文档散落多个系统)、新人生效慢(熟悉文档结构要几天)、合规滞后(代码评审时才暴露规范违反)。 实现上,官方 awslabs.bedrock-kb-retrieval-mcp-server 做桥接:Kiro 通过 MCP 连本地子进程,服务端调用 Bedrock Knowledge Bases 的 Retrieve API(不是 RetrieveA

10 Aug 2026, 14:48 UTC1 viewsread 11 August 2026
Photo

把 SageMaker HyperPod 集群接入 AWS DevOps Agent 做自动故障排查 大规模 ML 训练集群动辄数百上千 GPU 实例、跑上数天甚至数周,硬件故障、节点生命周期变化、容量波动、负载异常会全天候涌进事件流。HyperPod 自带的自愈层能自动检测并替换故障 GPU,但配置错误、容量等待、重复硬件故障、Pod 卡 CrashLoopBackOff 这类情况仍需要人判断。AWS DevOps Agent 能以只读方式接入集群事件流,自动完成分类、根因分析和结论邮件通知。 这套方案通过 CloudFormation 一键部署,事件驱动和定时巡检两条路径并行:EventBridge 接收 HyperPod 集群事件,webhook bridge Lambda 过滤噪声后签名推送;另有每 15 分钟一次的 Kubernetes 状态审计,只在发现真实问题时才触发。DevOps Agent 通过两个自定义

10 Aug 2026, 11:36 UTC1 viewsread 11 August 2026

选错分区键,PostgreSQL 分区白做 分区常被当成性能开关:大表一分,慢查询就快了。但有一种情况是,你费劲把大表拆成干净的分区,慢查询却依旧慢。表是分区了,什么都没变好。这时候,问题几乎总出在分区键上。 分区机制本身不难,PostgreSQL 处理得很好。选哪一列做分区键才是关键决策,而且表一大,这个决定基本无法回头。核心就一句话:分区裁剪只在查询过滤分区键时才生效。键选对了,PostgreSQL 只读一个小分区;选错了,它照样读全表,只不过现在是读散落在众多子表里的全表,可能比原来那张大表还慢。 所以真正的问题不是"该不该分区",而是"我的重要查询过滤什么列,能不能按它分区"。提交前快速自查:拉出表上最频繁、最昂贵的十条查询,看 WHERE 子句。如果几乎都过滤同一列或同一小组列,那就是候选键;如果过滤十种不同列,分区只会帮到其中一部分查询,对其他的毫无作用。 Hash 分区是重灾区。它的卖点是均匀分布:取一个多

10 Aug 2026, 05:00 UTC1 viewsread 11 August 2026

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10 Aug 2026, 03:16 UTC1 viewsread 11 August 2026

PostgreSQL 的 integer_datetimes:一个永远为 on 的参数 每个 PostgreSQL 连接在握手时都会收到服务器宣告的 integer_datetimes 参数。自 10.0 起,这个参数只有一个可能的值:on。它是个只读的预设参数,报告日期/时间类型的内部表示方式。 timestamp 和 timestamptz 用 64 位整数存储,从 2000-01-01 午夜起按微秒计数,整个范围内精度都是微秒级。替代方案是双精度浮点,从同一纪元起按秒计数——浮点数和计时是糟糕的组合:精度在纪元附近是微秒级,越远离越差,而且大多数秒的小数部分没有精确的二进制表示,导致算术运算时数值偏移,不同路径计算的 timestamp 做相等比较全靠运气。 整数格式在 7.x 时代作为编译选项引入,8.4 成为默认构建方式,10.0 时 Tom Lane 移除了 --disable-integer-datetime

9 Aug 2026, 17:01 UTC2 viewsread 11 August 2026

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9 Aug 2026, 15:16 UTC2 viewsread 11 August 2026

PostgreSQL ACE 张晨:为什么敢自称“数据库恢复专家” 成为 PostgreSQL ACE 后,张晨解释了“PostgreSQL 数据库恢复专家”这个头衔的由来,以及 PDU 如何从离线抽取、WAL 挖掘,演进到碎片扫描和无数据字典恢复。 为什么敢自称专家 在西安邮电大学的活动中,张晨被问到“这么年轻怎么敢自称专家”。他的回答是:当你在某个领域相信没人做得比你好,直到有人站出来挑战你,就可以自称专家。目前还没有人在 PostgreSQL 非常规恢复领域质疑他的专业能力,所以他继续使用这个头衔。 PostgreSQL 非常规恢复缺什么 Oracle、MySQL、SQL Server 的恢复都有大量从业者,淘宝一搜一大把。PostgreSQL 非常规恢复则尴尬得多——很多人不知道哪些场景可恢复、哪些不可。网上搜相关场景,多数文章只是工具展示:罗列开源工具,告诉你什么情况试哪个。但准确率呢?可靠性呢?坦率说,没什

Showing the 12 most recent of 13 posts we hold for @DevOpsTalkCN. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Citation-graph rank

Citation-graph rank — 117,000 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Mentions

Named by 29 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

Named by

Channels on the register whose posts name this channel's handle.

开发者工具箱|编程·开发工具·资源
@DevToolboxHub · 1,214
3 posts
BBC中文|国际新闻·深度·时政
@BBCChineseDaily · 1,202
2 posts
职业规划大师|求职·面试·职场晋升
@CareerPathCN · 1,166
2 posts
加密货币日报|币圈·行情·快讯
@CryptoDailyCN · 1,057
2 posts
加密交易学堂|合约·现货·K线教学
@CryptoTradeEdu · 1,178
2 posts
深度好文|每日涨姿势
@DeepReadCN · 21
2 posts
安全内参|漏洞·渗透·攻防
@SecTalkCN · 22
2 posts
AI前沿情报|AI新闻·大模型·ChatGPT
@AIDailyCN · 1,195
1 post
AI 论文精读|每日精选论文
@AIPaperCN · 21
1 post
Bitcoin & Macro
@BitcoinMacroCN · 1,189
1 post
Crypto Farsi|ارز دیجیتال·بیت‌کوین·تحلیل
@CryptoFarsiDaily · 1,307
1 post
从太空看地球|卫星遥感·地球观测·科普
@EarthFromSpaceCN · 1,289
1 post
国际经济贸易|国际贸易·跨境·经济
@EconTradeCN · 1,066
1 post
GRAM生态观察|TON链·钱包·代币动态
@GramTonWatch · 19
1 post
Hacker News 中文|科技头条
@HNChineseDaily · 1,119
1 post
独立开发与一人公司|独立开发·一人公司·出海
@IndieHackerCN · 1,201
1 post
印尼早报 雅加达 巴厘岛
@IndonesiaChineseCN · 1,445
1 post
宏观经济学堂|宏观经济·货币政策·分析
@MacroEconCN · 1,070
1 post
纽约时报中文|国际时政·深度·评论
@NYTChineseDaily · 213
1 post
股市趋势分析|A股·港股·大盘
@StockTalkCN · 1,063
1 post
英国新闻 · 留学圈 伦敦
@UKChineseHub · 183
1 post
越南每日 河内 胡志明市
@VietnamChineseCN · 1,180
1 post
Web3 & Protocol Tech|Web3·Smart Contracts·Protocol
@Web3ProtocolDaily · 210
1 post
命理玄学馆|易经·八字·黄历·星座运势
@YijingDailyCN · 1,064
1 post

Names

Channels on the register whose handles appear in this channel's posts.

Bitcoin & Macro
@BitcoinMacroCN · 1,189
1 post
落地加拿大|加拿大新闻
@CanadaChineseHub · 1,192
1 post
吃瓜社🌸|猎奇·热搜·八卦·爆料
@ChiguaSheCN · 1,213
1 post
网络安全·黑客攻防|渗透·CTF·安全资讯
@CyberSecWatch · 1,189
1 post
深度好文|每日涨姿势
@DeepReadCN · 21
1 post
DeFi & Yield|DeFi·Staking·Yield Farming
@DeFiYieldChannel · 1,206
1 post
我在迪拜 · 阿联酋资讯
@DubaiChineseHub · 1,190
1 post
巴黎信箱 · 法国新闻
@FranceChineseHub · 207
1 post
德国新闻(柏林 慕尼黑)
@GermanyChineseHub · 1,208
1 post
印尼早报 雅加达 巴厘岛
@IndonesiaChineseCN · 1,445
1 post
东京视线|日本新闻
@JapanChineseHub · 1,340
1 post
韩国新闻 首尔釜山
@KoreaChineseHub · 1,319
1 post
斯里兰卡中文新闻|科伦坡·南亚·时事
@LankaChineseHub · 1,194
1 post
大马华人圈 · 马来西亚新闻
@MalaysiaChineseCN · 1,430
1 post
缅甸一线 仰光 曼德勒 妙瓦底
@MyanmarChineseCN · 1,374
1 post
东盟商情(越南 泰国 印尼)
@SEABizIntel · 1,179
1 post
东南亚反诈预警|防骗·杀猪盘·缅北预警
@SEAScamAlert · 1,146
1 post
安全内参|漏洞·渗透·攻防
@SecTalkCN · 22
1 post
副业变现情报|副业·创业·赚钱思路
@SideHustleCN · 1,177
1 post
狮城日报(新加坡新闻)
@SingaporeChineseCN · 1,352
1 post
越南每日 河内 胡志明市
@VietnamChineseCN · 1,180
1 post
俄乌战争·战报地图分析🗺️|前线·军情·战场地图
@WarMapCN · 1,203
1 post
Web3链上职位|区块链招聘·远程·Crypto Jobs
@Web3JobsCN · 1,446
1 post
Web3 & Protocol Tech|Web3·Smart Contracts·Protocol
@Web3ProtocolDaily · 210
1 post

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 12 August 2026 — this entry's latest reading, not the date you are reading this.

“DevOps 实战|K8s·CI/CD·可观测·SRE” (@DevOpsTalkCN), 20 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/DevOpsTalkCN.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.