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 19 766 subscribers, ranking 6 512 in the Technologies & Applications category and 33 334 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 766 subscribers.
According to the latest data from 30 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 135 over the last 30 days and by 1 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 13.71%. Within the first 24 hours after publication, content typically collects 6.94% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 709 views. Within the first day, a publication typically gains 1 372 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 31 August, 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 Kubernetes, containers typically start with root privileges. This happens because, by default, container processes run as UID 0 unless overridden. Kubernetes does not impose a non-root policy; it inherits whatever the image defines. This isn't a bug, it's a design choice carried over from Docker. While convenient during development, it introduces unnecessary risk in production environments. If an attacker compromises the container, root access increases the likelihood of privilege escalation to the host. The Kubernetes API offers several ways to restrict container privileges using the Security Context. With it, you can control the user a container runs as, manage Linux capabilities, enforce read-only filesystems, and block privilege escalation. However, despite its importance, Security Contexts are often misunderstood or misapplied. Many teams discover these controls only after a security audit or scanner flags a running container. The next steps are usually reactively patching the config, suppressing the warning and moving on. Before we get into Kubernetes SecurityContexts, we need to understand what they're actually configuring under the hood.https://learnkube.com/security-contexts
HAMi, formerly known as 'k8s-vGPU-scheduler', is a Heterogeneous device management middleware for Kubernetes. It can manage different types of heterogeneous devices (like GPU, NPU, etc.), share heterogeneous devices among pods, make better scheduling decisions based on topology of devices and scheduling policies.https://github.com/Project-HAMi/HAMi
UiPath Automation Suite has many services that communicate using FQDN (Fully Qualified Domain Name). As this suite operates on the premises of our customers, it provides them with the freedom to select their own FQDN. Often, the certificate required for their chosen FQDN is not signed by a known authority. To talk securely using the HTTPS protocol, all the services must trust the FQDN’s certificate. However, these services are owned by multiple teams. Asking each team to handle this individually is cumbersome and makes managing future certificate trust requests more challenging.https://engineering.uipath.com/overcoming-the-downsides-of-mutating-webhooks-our-journey-to-an-alternative-5b0fbea83c59
Multi-protocol service monitoring system with real-time alerts and web dashboard. Supports HTTP/HTTPS, TCP and gRPC monitoring with Telegram notifications.https://github.com/sxwebdev/sentinel
While migrating Pinterest’s search infrastructure — which powers core experiences for millions of users monthly — to Kubernetes, we faced a challenge in the new environment: one in every million search requests took 100x longer than usual. This post chronicles our investigation, uncovering an elusive interaction between our memory-intensive search system and a seemingly innocent monitoring process. The journey involves profiling search systems, debugging performance issues, Linux kernel features, and memory management.https://medium.com/pinterest-engineering/debugging-the-one-in-a-million-failure-migrating-pinterests-search-infrastructure-to-kubernetes-bef9af9dabf4
s3grep is a parallel CLI tool for searching logs and unstructured content in Amazon S3 buckets. It supports .gz decompression, progress bars, and robust error handling—making it ideal for cloud-native log analysis.https://github.com/dacort/s3grep
Strategies from SRE leaders fighting noisy alerts in complex system.https://rootly.com/blog/the-art-of-not-getting-woken-up-for-nothing
Terraform has two looping mechanisms for creating multiple resources, count and for_each. The count meta-argument has been around for a long time, but for_each is a relative newcomer (introduced in version 0.12). Each meta-argument allows you to create more than one resource or module with a single configuration block.https://nedinthecloud.com/2022/01/27/choosing-between-count-and-for-each
