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 19 875 subscribers, ranking 6 610 in the Technologies & Applications category and 33 156 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 875 subscribers.
According to the latest data from 27 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 19 over the last 30 days and by -2 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 13.30%. Within the first 24 hours after publication, content typically collects 6.75% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 644 views. Within the first day, a publication typically gains 1 342 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 2.
- 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 28 October, 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.
SREcon Chair Heinrich Hartmann on why the age of AI-assisted engineering demands a radical return to design rigor.https://www.runllm.com/blog/i-dont-care-if-ai-wrote-the-code-you-own-it
For many organizations, some form of blamelessness has become a more standard practice and blame-awareness has been gaining in popularity. However, there is an anti-pattern I have noticed as well, which I like to call superficial (or shallow) blamelessness that I think is important for people to be on the lookout for.https://resilienceinsoftware.org/news/11502437
Hunk is a review-first terminal diff viewer for agent-authored changesets, built on OpenTUI and Pierre diffs.https://github.com/modem-dev/hunk
A single, opinionated Helm chart for deploying any Kubernetes application workload. Instead of maintaining separate charts per application, define your entire deployment through values.https://github.com/cotzo/chartpack
Kubebuilder is a framework for building Kubernetes APIs using custom resource definitions (CRDs).https://github.com/kubernetes-sigs/kubebuilder
Zero-code log sanitization sidecar for Kubernetes. Prevents data leaks (GDPR/SOC2) by redacting PII from logs before they leave the pod.https://github.com/aragossa/pii-shield
Sometimes, you just want to run a Large Language Model (LLM)… no Jupyter notebook, no training pipeline, no fancy UI.https://pittar.medium.com/llms-on-kubernetes-the-easy-way-f1ff6e0d47be
How we went from scaling video analysis on EKS to running autonomous coding agents in a custom agent harness, and why Kubernetes was the obvious choice.https://dev.to/mattcamp/orchestrating-secure-ai-agents-on-amazon-eks-50kh
Most Kubernetes teams track pod CPU and memory. Almost none track what the cluster actually costs to run.https://blog.kubeledger.io/what-6-months-of-tracking-a-production-openshift-cluster-revealed-about-kubernetes-costs
A practical guide to GKE deployment, Cassandra backups, Istio security, and surviving your first outagehttps://medium.com/@devansh2054/running-temporal-io-on-kubernetes-in-production-what-nobody-tells-you-d1f336e99306
If you've ever stared at `ImagePullBackOff` in your cluster at 2 PM on a Tuesday, you know — Docker Hub rate limits hit, your pods can't pull, and a perfectly fine deployment is stuck.https://tinysystems.io/blog/registry-mirror-automation
I have been recommending pgBackRest as the best backup tool for PostgreSQL for years.https://mydbanotebook.org/posts/pgbackrest-is-dead.-now-what
Waffle is a CLI utility that automates AWS Well-Architected Framework Reviews by analyzing Terraform infrastructure using Amazon Bedrock foundation models via direct API invocation in AWS. The Well-Architected Framework questions are then being analyzed by Amazon Bedrock and answered and posted directly to the Well-Architected tool in AWS.https://github.com/partly-notes/waffle
The more I look at how we actually build systems now, the more it looks like Terraform is dead.https://grahamgilbert.com/blog/2026/04/20/terraform-is-dead
A simple command line SSH tunnel manager that just works.https://github.com/alebeck/boring
This is the story of why and how we built PGKeeper, a scalable and reliable service to support Figma’s rapidly growing products and database workload.https://www.figma.com/blog/pgkeeper-building-the-bouncer-we-needed-for-postgres
