DevOps&SRE Library
Библиотека статей по теме DevOps и SRE. Реклама: @ostinostin Контент: @mxssl РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3
نمایش بیشتر📈 تحلیل کانال تلگرام DevOps&SRE Library
کانال DevOps&SRE Library (@devopslibrary) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 19 870 مشترک است و جایگاه 6 604 را در دسته فناوری و برنامهها و رتبه 33 067 را در منطقه روسيا دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 19 870 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 05 نوامبر, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر -13 و در ۲۴ ساعت گذشته برابر 11 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 13.00% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 6.56% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 2 583 بازدید دریافت میکند. در اولین روز معمولاً 1 303 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 0 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند kubernete, cluster, infrastructure, storage, configuration تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“Библиотека статей по теме DevOps и SRE.
Реклама: @ostinostin
Контент: @mxssl
РКН: https://www.gosuslugi.ru/snet/67704b536aa9672b963777b3”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 06 نوامبر, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامهها تبدیل کردهاند.
KubeAdmiral is a multi-cluster management system for Kubernetes, developed from Kubernetes Federation v2. Kubernetes Federation v2 allows users to manage Kubernetes resources across multiple clusters through the use of federated types such as FederatedDeployment, FederatedReplicaSet, FederatedSecret, etc. KubeAdmiral extends the Kubernetes Federation v2 API, providing compatibility with the Kubernetes native API and more powerful resource management capabilities.https://github.com/kubewharf/kubeadmiral
*This article is for Terraform heavy users, who manage complex infrastructures.https://medium.com/@maximonyshchenko/the-secret-to-terraform-efficiency-a76140a5dfa1
At incident.io, we run an on-call product. Our customers need to be sure that when their systems go wrong, we’ll tell them about it—high availability is a core requirement for us. To achieve the level of reliability that’s essential to our customers, excellent observability (o11y) is one of the most important tools in our belt.https://incident.io/hubs/building-on-call/building-on-call-our-observability-strategy
We recently migrated all of our infrastructure metrics from StatsD to Prometheus and are very pleased with the results. The migration was a ton of work and we learned a lot along the way. This post aims to shed some light on why we migrated to Prometheus, as well as outline some of the technical challenges we faced during the process.https://engineering.mixpanel.com/how-we-migrated-from-statsd-to-prometheus-in-one-month-fb973af124f5
KubeVirt is a virtual machine management add-on for Kubernetes. The aim is to provide a common ground for virtualization solutions on top of Kubernetes.https://github.com/kubevirt/kubevirt
Are you considering migrating your PostgreSQL database from a service provider into Kubernetes, but you cannot afford downtime? Recipe #5 details step-by-step instructions, leveraging CloudNativePG and logical replication, to seamlessly transition from PostgreSQL 10+ to 16 using an imperative method. Learn how to set up initial configurations, execute migrations, and handle various use cases, such as transitioning from DBaaS to Kubernetes-managed databases and performing version upgrades. Emphasizing testing, learning, and compliance with regulations like the Data Act, this guide empowers users to maintain control over their data by migrating to Kubernetes.https://www.gabrielebartolini.it/articles/2024/03/cloudnativepg-recipe-5-how-to-migrate-your-postgresql-database-in-kubernetes-with-~0-downtime-from-anywhere
TLDR: Running Kubernetes on Hetzner offers cost-effective options, but handling production workloads, especially stateful ones like databases, raises concerns. Hetzner provides instance and cloud volume storage options with significant differences in IOPS performance. Longhorn, a distributed block storage system, can be used to leverage local volumes, but benchmarks show a slowdown compared to raw local files. Probably host a datatbase either on a dedicated host or use a hosted option instead.https://sveneliasson.de/benchmarking-hetzners-storage-classes-for-database-workloads-on-kubernetes
Balancing traffic across multiple Kubernetes clusters and achieving automatic disaster recovery switching has always been a headache. We have explored public clouds and Karmada Ingress, and have also tried manual DNS solutions, but these approaches often fell short in terms of cost, universality, flexibility, and automation. It was not until we discovered k8gb, a project initiated by South Africa’s Absa Group to provide banking-level multi-availability, that we realized the ingenuity of using various DNS protocols to deliver a universal and highly automated GSLB solution. This blog will briefly discuss the problems with other approaches and how k8gb cleverly uses DNS to implement GSLB.https://oilbeater.com/en/2024/04/18/k8gb-best-cloudnative-gslb
It’s possible to dynamically resize CPU on containers in k8s with the feature gate “InPlacePodVerticalScaling”. Before this feature gate, sizing CPU was error prone and, in reality, we would often put something too high, to not deal with latency. Too much CPU and precious resources are wasted, too few CPU and the app is slowed. Let’s explore the ways to dynamically resize CPU.https://medium.com/@mathieuces/how-to-calculate-cpu-for-containers-in-k8s-dynamically-47a89e3886eb
