Selenium
Kubernetes is the natural home for Selenium Grid at scale. The Hub is a stateless service that belongs behind a ClusterIP or LoadBalancer. The Nodes are stateless workers that should scale up when there's a test backlog and scale down when the queue is empty. Kubernetes handles exactly
Kubernetes
Kubernetes adds a new layer of operational complexity to every application it runs. Pods restart. Nodes evict workloads. Resource limits throttle containers at unexpected times. Without proper observability, you're flying blind in a dynamic environment that changes constantly. Dynatrace Kubernetes observability gives you full-stack visibility — from cluster
Infrastructure Testing
Crossplane lets you build a platform API on top of Kubernetes — your developers claim a PostgreSQLInstance, your platform delivers an RDS instance. But testing that pipeline, from XRD to provider to real cloud resource, requires a different approach than testing regular Kubernetes operators. This post covers Crossplane provider testing: unit
Testing
LitmusChaos is a CNCF project that runs controlled chaos experiments on Kubernetes — pod deletion, CPU stress, network latency, disk fill. It uses CRDs to define experiments declaratively and produces structured results you can evaluate in CI. This post walks through installation, your first experiments, and how to read the results.
Chaos Engineering
Kubernetes introduces a new class of failure modes that traditional testing misses: pods evicted under memory pressure, nodes drained during rolling updates, network policies blocking inter-service traffic, readiness probes misconfigured. Chaos engineering in Kubernetes targets these specifically — testing that your workloads survive the infrastructure events that Kubernetes itself causes.
AWS
AWS EKS adds a Kubernetes control plane on top of AWS infrastructure, which means you're testing both Kubernetes abstractions and AWS-specific behavior.
Testing
Kubernetes is designed for resilience — but resilience requires testing.
Testing
Canary deployments reduce release risk by routing a small percentage of production traffic to the new version before rolling it out fully.
Testing
Progressive delivery is the practice of gradually rolling out changes to users while automatically verifying that the release meets your quality standards at each step. Flagger is a Kubernetes operator that automates this process — it manages canary deployments, traffic mirroring, and A/B testing with automated analysis and rollback. Unlike
Testing
Kubernetes made it dramatically easier to deploy and scale applications.
IaC Testing
Kustomize makes Kubernetes manifest management tractable. It does not make it safe.
MLOps
Seldon Core and KServe deploy machine learning models as Kubernetes-native inference services.