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 19 870 subscribers, ranking 6 598 in the Technologies & Applications category and 33 029 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 870 subscribers.
According to the latest data from 10 November, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -27 over the last 30 days and by -3 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 12.81%. Within the first 24 hours after publication, content typically collects 6.41% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 546 views. Within the first day, a publication typically gains 1 273 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 11 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.
To meet the bandwidth requirements of new and future AI workloads—and stay committed to our sustainability goals—the Dropbox networking team recently designed and launched our first data center architecture using highly efficient, cutting edge 400 gigabit per second (400G) ethernet technology.https://dropbox.tech/infrastructure/from-ai-to-sustainability-why-our-latest-data-centers-use-400g-networking
This post discusses testing and validation for infrastructure-as-code (IaC) with HashiCorp Terraform. The insights and ideas presented here can surely be extended to IaC in general.https://mattias.engineer/posts/terraform-testing-and-validation
In distributed systems, failures and latency issues are inevitable. Services can fail due to overloaded servers, network issues, bugs, and various other factors. As engineers building distributed systems, we need strategies to make our services robust and resilient in the face of such failures. One useful technique is using retries.https://www.codereliant.io/retries-backoff-jitter
The microservices architecture adds more moving parts to the overall system, and this doesn’t come for free. The cost of fully embracing microservices is only worth paying if it can be amortized across dozens of development teams.https://robertovitillo.com/costs-of-microservices
This week, we're taking another significant step forward as we get into the critical stack of monitoring and alerting. Now, it's time to equip yourself with the knowledge and tools needed to keep an eye on systems, analyze performance, and respond quickly to any issues that may come up.https://www.codereliant.io/sre-interview-prep-plan-week-3
In this blog post, we aim to expand on the first 5 lessons shared by Google's Site Reliability Engineering team, offering a closer look at practical implementation examples.https://www.codereliant.io/20-sre-lessons-from-google-part1
2VtzqvBXnuEWe often get questions like: - How much data can I put in an Elasticsearch cluster? - How many nodes can an Elasticsearch cluster have? - What’s the biggest cluster that you’ve seen? And while the 14-year-old in me is proud to say that we’ve done 24/7 support for clusters of 1000+ nodes holding many PB of data, I am quick to add that: 1. It doesn’t mean it’s a good idea to have clusters that big. 2. Such generic questions deserve more nuanced answers. Which is exactly what this blog post does. And it applies to OpenSearch as well as for Elasticsearch. And for the most part, to Solr (where the cluster state is stored in Zookeeper).https://sematext.com/blog/elasticsearch-scaling-cluster-state
We've added the ability to lint Dockerfiles on demand in Depot. This post covers the top 10 most common Dockerfile linting issues we've seen flowing through Depot.https://depot.dev/blog/dockerfile-linting-issues
