DevOps & SRE notes – Telegram
DevOps & SRE notes
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Helpfull articles and tools for DevOps&SRE

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Daniel Guala explores how Kubernetes Pods can be equipped with multiple network interfaces using Multus CNI and the NMState Operator. This article discusses the integration of these tools to enhance network flexibility and customization in Kubernetes applications.

https://medium.datadriveninvestor.com/can-a-kubernetes-pod-have-more-than-one-network-attached-6d78456dbeb2
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A post by Jorge Tovar walks through achieving zero‑downtime deployments in AWS using OpenTofu/Terraform, SAM, and Ansible, covering blue/green, canary, rolling, and immutable infrastructure strategies

https://dev.to/aws-builders/zero-downtime-deployment-in-aws-with-tofuterraform-and-sam-14d6
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kubectl-validate is a SIG-CLI subproject to support the local validation of resources for native Kubernetes types and CRDs.

https://github.com/kubernetes-sigs/kubectl-validate
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A guide by Rami McCarthy explains how to create AWS IAM service roles systematically—examining options like DSLs (e.g., policy_sentry), GUIs, and LLM‑based natural‑language tooling to address notoriously complex permission configurations

https://ramimac.me/iam-service-roles?ck_subscriber_id=2797503477
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A writeup by Maxim Onyshchenko shares insights into boosting Terraform efficiency—highlighting modular architecture, remote state management, CI/CD integration, and validation techniques to streamline infrastructure workflows

https://medium.com/@maximonyshchenko/the-secret-to-terraform-efficiency-a76140a5dfa1
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A blogpost by Ali Sattari delves into various methods for aggregating service-level indicators (SLIs) into single metrics—covering approaches like summing events, weighted averages, percentiles, and counting SLO compliance

https://ali.sattari.me/posts/2024/aggregating-slis/
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An article from Gremlin shares reliability recommendations for organizations adopting Kubernetes—urging teams to proactively test failure modes (e.g., simulate liveness probe failures, pod blackholes), learn from incidents, and implement resilience pipelines with tools like Gremlin's “Detected Risks” and reliability scorecards

https://www.gremlin.com/blog/reliability-recommendations-when-adopting-kubernetes
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A writeup on DZone discusses maintaining alignment between two multi-master databases using a vector clock approach—employing asynchronous bi-directional message queues (via Kafka and Avro) and identical alignment algorithms on both sides

https://dzone.com/articles/keeping-two-multi-master-dbs-aligned-with-vector-clock
A post by Yorick Peterse provocatively argues that asynchronous I/O—despite its efficiency gains—may be the “next billion‑dollar mistake,” tracing its complexities in both programming models (cooperative vs preemptive) and runtime implementations

https://yorickpeterse.com/articles/asynchronous-io-the-next-billion-dollar-mistake/
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