#CNCF

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Observability in Kubernetes: From metrics to meaning

Kubernetes made infrastructure more programmable, scalable, and resilient. It also made production systems harder to reason about. Workloads move, replicas churn, dependencies multiply…

blog.linoproject.net

Kubernetes, GitOps, AI and Data Protection: See You at Cloud Native Valencia

Some moments in a community journey feel more special than others, and for me, presenting for the first time ever at the Cloud Native Meetup in Valencia #6 is one of them. On October 1st at 6:00 pm, I’ll have the opportunity to join the Cloud Native Valencia community and share some of my experience with this great community.

www.cncf.io

Platform engineering maturity: From toolchain to self-service

Most platform engineering conversations tend to split into two rooms pretty quickly. The first room is full of teams who don’t have a platform yet. Scattered scripts, tribal knowledge…

www.cncf.io

German ciphers, telegrams, and cloud native data sovereignty

In January 1917, Germany sent a secret telegram. It went to Mexico. The offer: join the war against the United States, and you can have Texas, Arizona and New Mexico back. The Germans were careful…

www.cncf.io

OpenTelemetry everywhere: Migrating a metrics platform at scale

For most of the last decade our metrics pipeline ran on gostatsd, the open-source StatsD implementation we maintain. It primarily did two jobs: as sidecar on every host and the aggregation tier at the...

www.cncf.io

Your Kubernetes platform is ready for containers. Is it ready for AI?

Kubernetes has given platform teams a consistent way to deploy, scale, and operate containerized applications. Now, many of those same teams are being asked to support AI. The transition is already…