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 19 401 subscribers, ranking 6 933 in the Technologies & Applications category and 34 700 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 401 subscribers.
According to the latest data from 21 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 89 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 14.66%. Within the first 24 hours after publication, content typically collects 7.20% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 845 views. Within the first day, a publication typically gains 1 398 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 1.
- 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 22 June, 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.
Run kubectl commands in all/some contexts in parallel (similar to GNU xargs+parallel)https://github.com/ahmetb/kubectl-foreach
Etcd-backup-restore is collection of components to backup and restore the etcd. It also, provides the ability to validate the data directory, so that we could know the data directory is in good shape to bootstrap etcd successfully.https://github.com/gardener/etcd-backup-restore
Deploy DynamoDB and a client app using cdk8s along with AWS Controller for Kuberneteshttps://itnext.io/write-your-kubernetes-infrastructure-as-go-code-manage-aws-services-815ecd4d1af8
In this benchmark we compared initialization time across 8 managed Kubernetes providers.https://symbiosis.host/blog/comparing-node-launch-times
Kubernetes v1.25 introduced Container Checkpointing API as an alpha feature. This provides a way to backup-and-restore containers running in Pods, without ever stopping them. This feature is primarily aimed at forensic analysis, but general backup-and-restore is something any Kubernetes user can take advantage of. So, let's take a look at this brand-new feature and see how we can enable it in our clusters and leverage it for backup-and-restore or forensic analysis.https://martinheinz.dev/blog/85
eBPF-based auto-instrumentation of HTTP/HTTPS/GRPC Go services, as well as HTTP/HTTPS services written in other languages (intercepting Kernel-level socket operations as well as OpenSSL invocations).https://github.com/grafana/beyla
Slack handles billions of inbound network requests per day, all of which traverse through our edge network and ingress load balancing tiers. In this blog post, we’ll talk about how a request flows — from a Slack’s user perspective — across the vast ether of the network to reach AWS and then Slack’s internal services. Let’s dive in!https://slack.engineering/traffic-101-packets-mostly-flow
We dive into one of Terraform's most recent features to leverage infrastructure validation.https://masterpoint.io/updates/understanding-terraform-check
What if Kubernetes was idiot-proof?https://matduggan.com/gke-google-kubernetes-engine-review
I have been the first Site Reliability Engineer (SRE) several times as a consultant or full-time employee. I’ve been the tech lead on three SRE teams and the only SRE on two others. I’ve succeeded (growing from one SRE to a team of five twice) and failed (quitting without another SRE being found). Here’s what I’ve learned about being the first SRE.https://medium.com/@hans.knechtions/being-the-first-sre-7866a22975b4
Site Reliability Engineering has emerged as one of the hottest career paths in tech in the recent years. SREs get to tackle technical challenges on complex systems at scale, and are well-compensated for their specialized skillset. From the outside, the life of an SRE might seem prestige and full of opportunity. But behind the curtain you can often find reality full of chronic stress, career stagnation, and occupational hazards. By exploring the flip side of SRE, we can make more informed decisions about our engineering careers and have realistic expectations. Whether you're an aspiring or current SRE, let's discuss darker aspects of things.https://www.codereliant.io/the-dark-side-of-sre
Terravision visualises Terraform code as live Professional Cloud Architecture Diagrams by analysing the code dynamically. Supports AWS, Google and Azure.https://github.com/patrickchugh/terravision
This is purely my perspective as a practitioner with firsthand visibility into several working solutions in my career as a software consultant. Much of the vocabulary used in this series is of my own imagination and will surely cede to better nomenclature from the community. Moreover, many implementations I have seen in practice include multiple types of patterns discussed in this series.Part 1: Module Types: https://medium.com/devoops-discourse/terraform-observed-part-1-module-types-9dec5aa9dc9f Part 2: Module Arrangement: https://medium.com/devoops-discourse/terraform-observed-part-2-module-arrangement-109d2cf517e1 Part 3: State Misconceptions & Pitfalls: https://medium.com/devoops-discourse/terraform-patterns-observed-part-3-state-misconceptions-pitfalls-e051ca1b7be9
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