Naveen Krishnan
This article shows that default Kubernetes system pods such as kube-proxy and CoreDNS ship with incomplete or missing memory configurations, making them vulnerable to OOM kills during memory pressure.
Jitendra Takalkar
This article explains how CloudEvents provides missing standardization for Event Driven Architecture by defining a common envelope format for events, solving inconsistency problems across distributed systems.
Rajat Gupta
This article explains chaos engineering practices for Kubernetes, covering how to design resilient systems by proactively testing failure scenarios like pod crashes, network failures, and resource exhaustion using tools like Chaos Mesh and LitmusChaos.
This article introduces Gt and Lt operators for pod tolerations in Kubernetes 1.35, enabling threshold-based scheduling with numeric taint values, such as failure probability or cost metrics, rather than exact matching.
Tobias Massoth
This article explains the trade-offs of Azure CNI Pod Subnet in AKS with two IP allocation modes:
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More Articles
Scott Cotton
This article introduces Tony format, a tool that unifies matching, patching, and diffing operations on YAML and JSON using a single typed tree representation with tag-based extensions like !dive, !key, and !if for structural transformations.
Dilip Kola
This article explains how to build cost-efficient microservices on AKS by classifying state as irreplaceable or regenerable, using managed PostgreSQL for critical data while self-hosting Redis, RabbitMQ, and observability tools in Kubernetes.
Dhyan Raj
This article introduces MCP Mesh, a framework simplifying multi-agent AI deployment on Kubernetes by replacing YAML with Python decorators, enabling code portability across environments, and providing dynamic dependency injection.
Benjamin Holmes
This article shows how running Nomad server control plane on OpenShift using StatefulSets manages distributed edge fleets where Kubernetes can't reach, while OpenShift handles server lifecycle, security, and observability automatically.
Michael Preston
This article explains the challenges of running Java at scale on Kubernetes, covering JVM memory management with container limits, heap sizing with MaxRAMPercentage, CPU throttling, and garbage collector selection for containers.
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