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Deep, recent reads ranked by depth and freshness.

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  1. 01Honeycomb · architecture

    OpenTelemetry Collector Configuration for LLM Observability

    LLM applications emit bulky telemetry containing sensitive user content and disparate attribute names. The team uses an OpenTelemetry Collector pipeline to normalize, enrich, redact, and export this data to Honeycomb. This centralizes control, protects data before it leaves the network, and maintains consistent observability.

    DEPTH ■■■■■12 min read2 weeks ago

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  2. 02Kubernetes · migration

    The Shift to cgroup v2 in Kubernetes: What You Need to Know

    Kubernetes has deprecated cgroup v1 in favor of cgroup v2, with complete removal scheduled for future releases. The transition requires migrating Linux nodes, updating container runtimes, and verifying kernel compatibility. Adopting cgroup v2 enables advanced features such as Memory QoS, improved OOM handling, and pressure stall information metrics.

    DEPTH ■■■■■12 min read2 weeks ago

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  3. 03Kubernetes · scaling

    Scaling Kubernetes Workloads with Node Swap

    Kubernetes memory limits often cap node density for bursty agentic AI workloads that sit idle with large memory footprints. To solve this, the engineering team benchmarked Kubernetes v1.34 node swap backed by fast NVMe Local SSDs across CI/CD builds, headless browsers, and Python sandboxes. The approach successfully increased pod density up to three times without significant latency costs.

    DEPTH ■■■■■6 min read2 weeks ago

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  4. 04Honeycomb · practice

    How Honeycomb Private Cloud Drinks From the Fire Hose

    The Honeycomb Private Cloud team struggled to manually track and integrate rapid infrastructure and configuration changes produced by upstream teams. To solve this, they built custom scripts to generate automated drift reports and eventually integrated AI to help triage and track the necessary follow-up work. As a result, the team successfully scaled their integration process into a reliable daily workflow.

    DEPTH ■■■■■10 min read2 weeks ago

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  5. 05Kubernetes · tooling

    Why Is My Kubernetes Job Still Pending? Tracing Kueue Admission with Headlamp

    Kubernetes jobs managed by Kueue can remain pending while waiting for admission checks and resource allocation. The team implemented a Kueue plugin for Headlamp to trace pending workloads through local queues, cluster queues, and resource flavors within a unified interface. This approach allows engineers to quickly determine whether a job is blocked by admission policies or standard pod scheduling.

    DEPTH ■■■■■9 min read11 days ago

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