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 19 398 subscribers, ranking 6 921 in the Technologies & Applications category and 34 722 in the Russia region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 19 398 subscribers.
According to the latest data from 22 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 81 over the last 30 days and by -7 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 14.62%. Within the first 24 hours after publication, content typically collects 7.25% reactions from the total number of subscribers.
- Post reach: On average, each post receives 2 837 views. Within the first day, a publication typically gains 1 407 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 23 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.
Typically, microservice-based applications distribute data widely, especially in cloud-based applications, resulting in distributed applications. This impacts the transactions within these applications. This white paper refreshes the concepts of classical and distributed transactions. Next, we explain how cloud-based applications are affected by distribution. Finally, we present compensation-based transactions as a reliable method for microservice-based application transactions, even in the cloud.https://wso2.com/whitepapers/transactions-in-a-microservice-world
Get sign off on the tools you need, by making a business case that resonates.https://liblab.com/blog/how-to-convince-management-to-invest-in-tools-you-need
PostgreSQL (Postgres), is a powerful relational database that can store a wide range of data types and data structures. When it comes to storing graph data structures we might reach for a database marketed for that use case like Neo4J or Dgraph. Hold your horses! While Postgres is not generally thought of when working with graph data structures, it is perfectly capable to store and query graph data efficiently.https://www.dylanpaulus.com/posts/postgres-is-a-graph-database
In this blog post, we’ll talk about two incident management structure models — distributed and centralized, including the pros and cons of each, and examples of what each structure looks like in our community.https://firehydrant.com/blog/exploring-distributed-vs-centralized-incident-command-models
When working locally with the AWS CLI or with Terraform or Terragrunt, you will require a valid AWS configuration to be authorised to communicate with AWS services. It is recommended to leverage features such as Single Sign-On (SSO) and Role Based Access Controls (RBAC) when using your identity as the principal for interacting with AWS services. Using SSO ensures that you are not storing a permanent access key and secret access key and that your sessions have a limited lifetime. Using permission sets (a form of RBAC) ensures that you create roles with only the minimum required permissions for relevant accounts and assume them when needed. This is one aspect of implmenting the principle of least privilege (PoLP). In this guide it is assumed that you are making use of IAM Identity Center and that you are configured as a user. You should also have access to one or more accounts using permission sets. This guide will walk through accessing at least two accounts using the same login.https://levelup.gitconnected.com/aws-single-sign-on-terraform-and-terragrunt-a8c22bb7cfa8
What is Terraform Drift? What problems does it cause? And how can we fix it?https://dragondrop.cloud/2023/08/10/terraform-drift-the-bad-the-ugly-and-the-black-swan
Infisical is an open-source, end-to-end encrypted platform for secret management: sync secrets across your team/infrastructure and prevent secret leaks.https://github.com/Infisical/infisical
PostgreSQL operator for Kuberneteshttps://github.com/movetokube/postgres-operator
configmap-reload is a simple binary to trigger a reload when Kubernetes ConfigMaps or Secrets, mounted into pods, are updated. It watches mounted volume dirs and notifies the target process that the config map has been changed. It currently only supports sending an HTTP request, but in future it is expected to support sending OS (e.g. SIGHUP) once Kubernetes supports pod PID namespaces.https://github.com/jimmidyson/configmap-reload
Redis Operator creates/configures/manages redis-failovers atop Kubernetes.https://github.com/spotahome/redis-operator
Kubegres is a Kubernetes operator allowing to deploy one or many clusters of PostgreSql pods with data replication and failover enabled out-of-the box. It brings simplicity when using PostgreSql considering how complex managing stateful-set's life-cycle and data replication could be with Kubernetes.https://github.com/reactive-tech/kubegres
Bridge to Kubernetes extends the Kubernetes perimeter to your development computer allowing you to write, test, and debug microservice code while connected to your Kubernetes cluster with the rest of your application or services. You can simply run your code natively on your development workstation while connected to the Kubernetes cluster, allowing you to test your code changes in the context of the larger application.https://github.com/Azure/Bridge-To-Kubernetes
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