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DevOps & SRE notes
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Helpful articles and tools for DevOps&SRE WhatsApp: https://whatsapp.com/channel/0029Vb79nmmHVvTUnc4tfp2F For paid consultation (RU/EN), contact: @tutunak All ways to support https://telegra.ph/How-support-the-channel-02-19
Ko'proq ko'rsatish📈 Telegram kanali DevOps & SRE notes analitikasi
DevOps & SRE notes (@devops_sre_notes) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 12 640 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 10 047-o'rinni va AQSH mintaqasida 2 979-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 12 640 obunachiga ega bo‘ldi.
10 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 217 ga, so‘nggi 24 soatda esa 3 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 18.62% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 4.84% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 2 354 marta ko‘riladi; birinchi sutkada odatda 612 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 3 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent kubernete, cluster, author, engineering, monitoring kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“Helpful articles and tools for DevOps&SRE
WhatsApp: https://whatsapp.com/channel/0029Vb79nmmHVvTUnc4tfp2F
For paid consultation (RU/EN), contact: @tutunak
All ways to support https://telegra.ph/How-support-the-channel-02-19”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 11 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.
12 640
Obunachilar
+324 soatlar
+487 kunlar
+21730 kunlar
Postlar arxiv
12 651
Fernando Borretti critiques SQL's limitations in testing and business logic reuse, proposing composable, statically-typed query fragments—'functors'—as a solution. This article explores how functors can enhance modularity, testability, and maintainability in complex SQL systems.
https://borretti.me/article/composable-sql
12 651
Tobias Andersen demonstrates how to architect a multi-cluster Kafka environment using Strimzi on Kubernetes. This article details the setup of two Kafka clusters with MirrorMaker2 for cross-cluster replication, ensuring high availability and scalability for the Heimdall platform.
https://medium.com/@ZaradarTR/multi-cluster-kafka-with-strimzi-io-fafd36c2b413
12 651
Generate AWSCC Documentation with Bedrock and Anthropic Computer Use
https://github.com/aws-samples/generate-awscc-with-bedrock-claude-computer-use
12 651
🌍 Terraform Model Context Protocol (MCP) Tool - An experimental CLI tool that enables AI assistants to manage and operate Terraform environments. Supports reading Terraform configurations, analyzing plans, applying configurations, and managing state with Claude Desktop integration.
https://github.com/nwiizo/tfmcp
12 651
Ahmet Alp Balkan offers a candid look into the common pitfalls developers face when building Kubernetes controllers. This essay outlines practical patterns and anti-patterns—from CRD design to reconciliation logic—that can make or break production-grade controllers.
https://ahmet.im/blog/controller-pitfalls/
12 651
Oilbeater presents k8gb as a standout open-source GSLB solution, seamlessly integrating with Kubernetes to manage cross-cluster domain names and traffic with minimal external dependencies. This blogpost delves into how k8gb leverages DNS protocols to achieve automated, multi-cloud traffic routing and disaster recovery, positioning it as a top choice for cloud-native environments.
https://oilbeater.com/en/2024/04/18/k8gb-best-cloudnative-gslb/
12 651
JIRA integration for Prometheus Alertmanager
https://github.com/prometheus-community/jiralert
12 651
Instant's engineering team shares their journey of upgrading an Aurora Postgres instance to version 16 with zero downtime. This experience report details the challenges faced, including performance bottlenecks and failed upgrade attempts, ultimately leading to a successful migration strategy.
https://www.instantdb.com/essays/pg_upgrade
12 651
Sven Eliasson benchmarks Hetzner’s Kubernetes storage classes to evaluate their suitability for database workloads. This report highlights the significant performance differences between instance-attached NVMe storage and cloud volumes, offering practical insights for infrastructure planning.
https://sveneliasson.de/benchmarking-hetzners-storage-classes-for-database-workloads-on-kubernetes
12 651
Dropbox has built a flexible messaging system model to support its evolving async platform. This blogpost explores how the new architecture enhances decoupling and scalability across their infrastructure services.
https://dropbox.tech/infrastructure/infrastructure-messaging-system-model-async-platform-evolution3-2025
12 651
Migrating from MetalLB to Cilium streamlines Kubernetes networking by consolidating load balancer, IP address management, and network advertisement features into a single tool. This article details how Cilium—starting with version 1.13—natively supports LoadBalancer IP management, BGP (Layer 3) announcements, and Layer 2 (ARP) announcements, eliminating the need for MetalLB in most self-managed clusters. Through practical YAML examples, it demonstrates configuring Cilium IP pools, service selectors, specific IP assignments, and both IPv4 and IPv6 support, as well as advertising service IPs to the network using BGP or ARP, offering a more integrated and simplified approach to Kubernetes networking.
https://isovalent.com/blog/post/migrating-from-metallb-to-cilium/
12 651
This newsletter explains the challenges of the "hot shard" problem—when a disproportionate amount of traffic targets a single shard, causing resource saturation and degraded performance. The blogpost outlines practical strategies to address this, such as vertical scaling, adding read replicas or caches, distributing hot keys across more shards, choosing better sharding keys and algorithms, implementing load balancing and queueing, controlling traffic with backpressure, and monitoring the cluster for early detection of issues.
https://newsletter.scalablethread.com/p/how-to-handle-hot-shard-problem
12 651
Figma’s migration onto Kubernetes is a compelling case study in how a high-growth company can modernize its infrastructure for scalability, reliability, and developer productivity. This article recounts Figma’s decision to move from AWS ECS to Kubernetes (EKS), the challenges they faced with ECS—such as lack of support for StatefulSets, Helm charts, and advanced autoscaling—and the benefits they unlocked by embracing the broader CNCF ecosystem and Kubernetes’ popularity within the industry.
https://www.figma.com/blog/migrating-onto-kubernetes/
12 651
Easy and Repeatable Kubernetes Development
https://github.com/GoogleContainerTools/skaffold
