DevOps

I recently attended the Cloud Native Days France 2026 conference in Paris, where Ricardo Rocha (Head of Infrastructure at CERN) opened the session with a talk titled “10 PB/s without breaking the budget.” He explained in detail how the LHC upgrade forced them to process 10 petabytes of data per second with a fixed computing budget. The solution was not magical hardware, but rigorous resource isolation. If strict resource limits are effective enough for particle physics, they are certainly effective enough for our production workloads. ...

In my previous article on Observability 2.0, I talked about how ClickStack and unified platforms solve the fragmented three-pillar problem by storing everything in ClickHouse. That’s the ideal end state — but what if you’re not ready to rip and replace your entire stack today? This Helm chart is the pragmatic answer. It’s still three separate backends under the hood (Loki, Tempo, Mimir), but thanks to OpenTelemetry’s OTLP protocol, it feels like one unified system. Your apps emit OTLP, hit a single gateway, and that gateway routes everything to the right storage. You get centralized ingestion, Grafana pre-wired for correlation, and zero vendor lock-in. ...

A practical guide to Kubernetes operators with the CronJob-Scale-Down-Operator - automate resource scaling and cleanup to optimize cloud costs.

Following our previous tutorial about using AWS KMS for secrets management, this second part explores how to

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