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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 12 684 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 10 040-o'rinni va AQSH mintaqasida 2 960-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 12 684 obunachiga ega bo‘ldi.
15 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 232 ga, so‘nggi 24 soatda esa 5 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 15.80% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 4.81% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 2 004 marta ko‘riladi; birinchi sutkada odatda 610 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 5 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 16 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.
12 684
Obunachilar
+524 soatlar
+497 kunlar
+23230 kunlar
Postlar arxiv
12 684
Rhel compatible distribution in danger. RedHat change their policy and licenses agreements
https://www.jeffgeerling.com/blog/2023/dear-red-hat-are-you-dumb
12 684
This is a Helm plugin which map deprecated or removed Kubernetes APIs in a release to supported APIs
https://github.com/helm/helm-mapkubeapis
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Debug a target container in a Kubernetes cluster by automatically creating a new, non-invasive, 'debug' container in the same pid, network, user, and ipc namespace as the target container without disrupting the target container.
https://github.com/JamesTGrant/kubectl-debug
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Adrien "ZeratoR" Nougaret's annual charity event, Zevent, returned this year with a new addition called Zevent Place. Inspired by Reddit's r/place, Zevent Place is a collaborative canvas where donors can draw pixels based on the amount they donate. Developers William Traoré and Alexandre Moghrabi created the platform with several features, such as Pixel Upgrade system and real-time updates, to protect community creations and enhance user experience.
The team utilized various technologies like GraphQL, NestJS, Redis, and MinIO, and managed to handle massive amounts of updates while maintaining a low CPU and bandwidth footprint. Although there were challenges, such as unexpected rate limit errors with Cloudflare, the event achieved 98.4% uptime, with the downtime being addressed and resolved promptly.
Overall, Zevent Place was a successful project, and valuable lessons were learned throughout its development and implementation.
https://medium.com/@alexmogfr/zevent-place-how-we-handled-100k-ccu-on-a-real-time-collective-canvas-71d3d346e0ab
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In this post, the author explores various load balancing algorithms, including round robin, weighted round robin, dynamic weighted round robin, and least connections. The simulations demonstrate how these algorithms perform in different scenarios, highlighting their strengths and weaknesses. Round robin performs well in terms of median latency but struggles with higher percentiles. Least connections offer a good balance between simplicity and performance but may not be optimal in terms of latency. The PEWMA algorithm, which combines techniques from dynamic weighted round robin and least connections, shows significant improvements across all latency percentiles but has additional complexity and may not handle dropped requests as well as least connections. Ultimately, the choice of load balancing algorithm depends on the specific requirements of a workload and the performance characteristics that need to be optimized.
https://samwho.dev/load-balancing/
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macOS and Linux VMs on Apple Silicon to use in CI and other automations
https://github.com/cirruslabs/tart
12 684
Have you ever heard that company migrate from microservice architecture to monolith?
Moving our service to a monolith reduced our infrastructure cost by over 90%. It also increased our scaling capabilities. Today, we’re able to handle thousands of streams and we still have capacity to scale the service even further. Moving the solution to Amazon EC2 and Amazon ECS also allowed us to use the Amazon EC2 compute saving plans that will help drive costs down even further.
https://www.primevideotech.com/video-streaming/scaling-up-the-prime-video-audio-video-monitoring-service-and-reducing-costs-by-90
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rustic - fast, encrypted, deduplicated backups powered by Rust
https://github.com/rustic-rs/rustic
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Roadmapper - A Roadmap as Code (Rac) python library. Generate professional roadmap diagram using python code.
https://github.com/csgoh/roadmapper
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Efficient GPU utilization is crucial for minimizing infrastructure expenses, especially in large Kubernetes clusters running AI and HPC workloads. NVIDIA MIG enables partitioning GPUs into smaller slices, but using MIG in Kubernetes through the NVIDIA GPU Operator alone has limitations due to static configurations. Dynamic MIG Partitioning addresses these limitations by automating the creation and deletion of MIG profiles based on real-time workload requirements, ensuring optimal GPU utilization. The nos module works alongside the NVIDIA GPU Operator to implement dynamic MIG partitioning, simplifying the management of MIG configurations and reducing operational costs.
https://towardsdatascience.com/dynamic-mig-partitioning-in-kubernetes-89db6cdde7a3
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f you like this channel, you can support it. If you don't have an account in DO and what to have a simple cloud platform for development and running your project, you can register here by my referral link, https://m.do.co/c/0f8bec835d26 .
By this link, you get $100 in credit over 60 days.
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Pipedrive Infra manages numerous Kubernetes clusters across different clouds, including AWS and on-premise OpenStack. They had been experiencing intermittent failing pod health checks, which became more frequent over time. After an extensive investigation, the team discovered that Kubelet was initiating TCP sessions to pods using random source ports within the same range reserved by Kubernetes nodeports. This caused the TCP SYN-ACK to be redirected to other pods, leading to failed health checks. The solution was to disallow the use of the nodeport range as the source port for TCP sessions with a single line of code, effectively resolving the issue.
https://medium.com/pipedrive-engineering/solving-the-mystery-of-pods-health-checks-failures-in-kubernetes-55b375493d03
