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 19 872 subscribers, ranking 6 592 in the Technologies & Applications category and 33 022 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 872 subscribers.
According to the latest data from 08 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -26 over the last 30 days and by -5 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 12.80%. Within the first 24 hours after publication, content typically collects 6.49% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 544 views. Within the first day, a publication typically gains 1 289 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 09 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.
Generate a sample YAML file from a CRD definition.https://github.com/Skarlso/crd-to-sample-yaml
McFly replaces your default ctrl-r shell history search with an intelligent search engine that takes into account your working directory and the context of recently executed commands. McFly's suggestions are prioritized in real time with a small neural network.https://github.com/cantino/mcfly
Distributed systems are tricky - it's easy to make wrong assumptions that lead to problems down the road. Back in the 90s, computer scientist L. Peter Deutsch identified several common misconceptions, or "fallacies," that trip up engineers working on distributed systems. Surprisingly these fallacies are still relevant today: 1. The Network is Reliable: It's risky to assume networks are 100% reliable. Networks can and do fail in various ways. 2. Latency is Zero: While we might wish our networks had no latency, that's simply not physically possible - even light takes time to travel distances. Ignoring the inevitable delay in data transmission can lead to unrealistic expectations of system performance. 3. Bandwidth is Infinite: This overlooks the physical and practical limitations on data transfer rates. 4. The Network is Secure: No wonder Security is a growing industry. Assuming inherent security can lead to vulnerabilities and oversight in protective measures. 5. Topology Doesn't Change: This neglects the dynamic nature of network configurations. 6. There is One Administrator: A simplification that fails to consider the complexity of managing distributed systems. 7. Transport Cost is Zero: Overlooking the resources required for data movement. 8. The Network is Homogeneous: Ignoring the diversity in network systems and standards. These fallacies, if not recognized and addressed, can lead to design flaws, performance issues, and security vulnerabilities in distributed systems. In the following sections, we will break down each of these misconceptions, exploring their implications and how to mitigate the risks they pose in real-world applications.P1: https://www.codereliant.io/why-distributed-systems-fail-1 P2: https://www.codereliant.io/why-distributed-systems-fail-2
Kubernetes Image Puller is used for caching images on a cluster. It creates a DaemonSet downloading and running the relevant container images on each node.https://github.com/che-incubator/kubernetes-image-puller
Open source APM: OpenTelemetry traces, metrics, and logshttps://github.com/uptrace/uptrace
In this series of articles, I would like to talk about Linux Page Cache. I believe that the following knowledge of the theory and tools is essential and crucial for every SRE. This understanding can help both in usual and routine everyday DevOps-like tasks and in emergency debugging and firefighting.https://biriukov.dev/docs/page-cache/0-linux-page-cache-for-sre
At Heroku, we’ve come up with a methodology called the 12 factor app. It’s a set of principles designed to make great web applications that are easy to maintain. In that spirit, here are 12 CLI factors to keep in mind when building your next CLI application. Following these principles will offer CLI UX that users will love.https://medium.com/@jdxcode/12-factor-cli-apps-dd3c227a0e46
Kubernetes Job market trends for Q4 2023https://kube.careers/state-of-kubernetes-jobs-2023-q4
A service that helps implement the Event-Driven architecture. To maintain the consistency of data in the system, we will use transactional messaging - publishing events in a single transaction with a domain model change. The service allows you to subscribe to changes in the PostgreSQL database using its logical decoding capability and publish them to the NATS Streaming server.https://github.com/ihippik/wal-listener
