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DevOps & SRE notes

DevOps & SRE notes

@devops_sre_notes

Helpful articles and tools for DevOps&SRE
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Post #2743 1.51K
Post #2741 1.55K
A practical guide to building a local multi-cluster platform engineering lab with vind, Sveltos, and Argo CD. It covers GitOps, label-based deployments, drift correction, and the networking issues you’ll encounter along the way.

https://itnext.io/local-platform-engineering-on-your-laptop-vind-sveltos-and-argocd-2b3e1341ebe7
Medium Local Platform Engineering on Your Laptop | vind, Sveltos and ArgoCD I’m not new to Kubernetes. Certified my way through most of what the CNCF has to offer. And yet this specific setup, a proper local…
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Post #2738 1.83K
Mercado Libre runs its observability platform, O11y events, on ClickHouse Cloud to answer granular, business-level questions like why a specific payment failed.

The team built O11y events to take troubleshooting from days to minutes, with full business-flow visibility and high-cardinality filtering on identifiers like payment and user IDs.

Migrating to ClickHouse Cloud increased query performance by 50x and delivered up to 89% data compression, enabling them to scale from 7 million spans per minute to 400 million and growing in ClickHouse.

https://clickhouse.com/blog/mercado-libre-observability-on-clickhouse-cloud
ClickHouse How Mercado Libre rebuilt its observability platform on ClickHouse Cloud with 50x faster trace queries | ClickHouse How Mercado Libre rebuilt its observability platform on ClickHouse Cloud, cutting trace query times from over five minutes to about four seconds (a 50x speedup) with up to 89% compression while ingesting 400 million spans per minute.
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Post #2734 2.46K
Post #2732 2.72K
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Post #2729 2.78K
The article challenges the traditional "three pillars" of observability (metrics, logs, traces), arguing that they are insufficient for modern, distributed architectures. Through three real-world incident examples at a large financial institution, the author demonstrates that application-level telemetry often fails to reveal actual customer impact. Instead of siloed data, the author advocates for "single threads"—clear, end-to-end distributed traces of individual customer requests—enriched with business context and measured by customer-facing Service Level Objectives (SLOs).

https://www.honeycomb.io/blog/you-dont-need-three-pillars-you-need-single-threads
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Post #2728 2.65K
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