DevOps&SRE Library
Библиотека статей по теме DevOps и SRE. Реклама: @ostinostin Контент: @mxssl РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3
Show more📈 Analytical overview of Telegram channel DevOps&SRE Library
Channel DevOps&SRE Library (@devopslibrary) in the English language segment is an active participant. Currently, the community unites 19 860 subscribers, ranking 6 605 in the Technologies & Applications category and 33 088 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 860 subscribers.
According to the latest data from 03 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -20 over the last 30 days and by -4 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 13.32%. Within the first 24 hours after publication, content typically collects 6.63% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 645 views. Within the first day, a publication typically gains 1 317 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
- Thematic interests: Content is focused on key topics such as kubernete, cluster, infrastructure, storage, configuration.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“Библиотека статей по теме DevOps и SRE.
Реклама: @ostinostin
Контент: @mxssl
РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3”
Thanks to the high frequency of updates (latest data received on 04 November, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
In this study, our goal was to find the solution with the lowest latency, highest throughput, and the lowest setup cost. Since our load is latency-sensitive, our intent is to measure high percentile latencies at relatively high network utilization. We particularly focused on the performance under 30–50% of the maximum load, because we think this best represents the most common use cases of a non-overloaded system.https://machinezone.github.io/research/networking-solutions-for-kubernetes
A lightweight Database GUI in your browser. It supports connecting to Postgres, MySQL, and SQLite.https://github.com/outerbase/studio
Bento is a high performance and resilient stream processor, able to connect various sources and sinks in a range of brokering patterns and perform hydration, enrichments, transformations and filters on payloads.https://github.com/warpstreamlabs/bento
Techniques to Avoid Potential Failures Caused by Sudden Traffic Spikeshttps://newsletter.scalablethread.com/p/how-to-handle-sudden-bursts-of-traffic
This go package provides a terminal user interface for ufw.https://github.com/peltho/tufw
In our company we have thousands of resources managed by Terraform. Which are deployed to multiple environments (dev, staging, production) and different regions.https://dev.to/musukvl/multi-environment-with-terraform-variables-file-16bp
Terraform users will likely be familiar with “data source will be read during apply” messages that may appear in the plan output. These messages can be confusing and may even lead to unexpected re-creation of resources. Typically, these messages are related to using data sources in combination with Terraform modules and explicit dependencies.https://sanderknape.com/2024/11/terraform-data-source-read-during-apply-messages-fix
This article explores the challenges and pitfalls of Terralith, a monolithic Terraform architecture in Infrastructure as Code, and uncovers why a Terralith is not considered best practice.https://masterpoint.io/updates/terralith-monolithic-terraform-architecture
Fastmail has a long history of using our own hardware. We have over two decades of experience running and optimising our systems to use our own bare metal servers efficiently.https://www.fastmail.com/blog/why-we-use-our-own-hardware
The Performance Engineering team at GitHub assessed how CPU performance degrades as utilization increases and how this relates to capacity.https://github.blog/engineering/architecture-optimization/breaking-down-cpu-speed-how-utilization-impacts-performance
In this post, I’ll start off with a brief overview of “shared nothing” vs. “shared storage” architectures in general. This discussion will be a bit abstract and high-level, but the goal is to share with you some of the guiding philosophy that ultimately led to WarpStream’s architecture. We’ll then quickly transition to discussing the trade-offs between the two architectures more specifically in the context of data streaming and WarpStream; this is the WarpStream blog after all!https://www.warpstream.com/blog/the-case-for-shared-storage
