Gremlin Aims to Reduce Kubernetes Noisy Neighbours through Chaos Engineering

Gremlin Aims to Reduce Kubernetes Noisy Neighbours through Chaos Engineering

Gremlin has released enhancements to its Chaos Engineering platform aimed at DevOps engineers interested in future-proofing Kubernetes clusters by isolating "noisy neighbours". On Kubernetes, the noisy neighbour issue occurs when multiple applications sharing a Kubernetes cluster compete for resources leading to degraded performance.

Gremlin has released enhancements to its Chaos Engineering platform aimed at DevOps engineers interested in testing the scalability of services running within Kubernetes clusters by isolating "noisy neighbours". On Kubernetes, the noisy neighbour issue occurs when multiple applications sharing a Kubernetes cluster compete for resources leading to degraded performance.

Kubernetes can improve infrastructure utilisation as containers have a smaller resource footprint, which enables a much higher tenant density on a host. However this density can result in a conflict of interest for resources utilisation. This is the "noisy neighbour" problem, where one service deprives another service of resources when they share the same node.

Gremlin's latest upgrades to their Chaos Engineering service enable engineers to isolate their resource attacks to single containers, experiment on both containerd and CRI-O runtimes, and to control access for experiments on individual nodes within namespaces for shared cluster environments.

Containerd is an industry standard runtime that was designed to be used by Docker, Kubernetes or any other container platform that wants to abstract away syscalls or operating system (OS) specific functionality to run containers on any OS. CRI-O is a lightweight alternative to containerd, designed for faster, stable workloads.

kubernetes

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