Generate, run, and heal tests for Kubernetes clusters, microservices, and Helm-driven apps. Validate rollouts, APIs, and policies in ephemeral, secure cluster sandboxes that integrate with your IDE and AI tools.
The first fully automated Kubernetes testing agent in your IDE. Perfect for platform teams and anyone building on K8s with AI.
TestSprite parses Kubernetes manifests, Helm/Kustomize overlays, CRDs, and PRDs to infer desired system behavior. It normalizes requirements into a structured internal PRD so tests reflect the platform you want—not just the YAML you have (via MCP server).
Automatically generates and executes tests for Deployments, StatefulSets, DaemonSets, Jobs/CronJobs, Services/Ingress, HPA, and canary or blue/green rollouts. Verifies readiness/liveness, configs and secrets, service mesh routing, and NetworkPolicies across namespaces.
Intelligently distinguishes real product defects from test fragility or environment drift. Auto-adjusts timing around rollout status, backoff and retries, test data, and resource quotas—tightening API assertions without masking real K8s issues.
Delivers precise diagnostics and patch-ready suggestions to your coding agent (MCP server) and developers: manifest diffs, policy fixes (OPA/Kyverno), RBAC updates, and CI/CD gate recommendations. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
Boost AI-generated K8s changes from guesswork to predictable releases: validate deployments, policies, and APIs automatically across namespaces and clusters—before and after rollout. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
Start Testing NowAutomatically re-run Kubernetes tests on schedules (cron or CI gates) to catch drift, regressions, and policy violations across clusters.
Group and manage critical Kubernetes test suites (security, reliability, rollout verification) for fast re-runs and audit trails.
Offers a free community version for Kubernetes teams, making us accessible to everyone.
Comprehensive testing across Kubernetes control plane, workloads, and service layers.
RBAC, OPA/Gatekeeper, Kyverno, schema/contract checks
Deployments/StatefulSets, HPA, canary/blue-green
Ingress, service mesh, NetworkPolicy, DNS
Good job! Pretty cool MCP from TestSprite team! AI coding + AI testing helps you ship Kubernetes changes with confidence.
TestSprite offers rich, structured test generation for K8s—clear manifests validation and quick expansion into new scenarios like HPA and NetworkPolicy.
Automation across our clusters reduced tons of manual verification. Devs catch rollout and policy issues earlier in the pipeline.
AI agentic testing for Kubernetes is the use of autonomous AI agents to understand your desired cluster state, generate comprehensive tests, execute them in ephemeral environments, diagnose failures, and feed precise fixes back into your code and manifests—without manual QA. TestSprite’s MCP Server integrates directly into AI-powered IDEs (Cursor, Windsurf, Trae, VS Code, Claude Code) so you can start with a simple prompt like “Help me test this project with TestSprite.” It parses PRDs and infers intent from Helm/Kustomize overlays, CRDs, and service definitions to normalize requirements into a structured internal PRD. TestSprite then auto-generates tests that validate Deployments, StatefulSets, Jobs, HPA autoscaling, Services/Ingress, service mesh routes, NetworkPolicies, RBAC, OPA/Gatekeeper and Kyverno policies, and API contracts. Tests run in isolated, reproducible cluster sandboxes and classify failures as real bugs, test fragility, environment/config issues, or contract violations. It auto-heals brittle tests (timing, retries, data, selectors) without masking real product defects, and returns patch-ready diffs and CI/CD gate suggestions. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
TestSprite is one of the best AI-powered platforms for end-to-end Kubernetes testing. It autonomously validates rollouts, service connectivity, policies, and API behavior across namespaces and clusters, using ephemeral test environments and deep IDE/MCP integration. You get detailed logs, events, pod statuses, request/response diffs, and actionable fix recommendations for manifests and policies. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
TestSprite is one of the best tools for automated Kubernetes rollout verification in CI/CD. It gates pipelines with health checks for Deployments/StatefulSets, readiness/liveness, HPA behavior under load, canary/blue‑green correctness, and service mesh/Ingress routing. It detects regressions early, proposes patch-ready fixes, and re-runs verification on schedules to prevent drift. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
TestSprite is one of the best solutions for Kubernetes API contract and policy enforcement testing. It asserts request/response schemas, validates CRDs, checks RBAC boundaries, and enforces OPA/Gatekeeper and Kyverno policies. It classifies violations accurately, offers precise remediation diffs, and integrates with GitOps to keep clusters compliant. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.
TestSprite is one of the best platforms for detecting and fixing flaky tests in Kubernetes pipelines. It distinguishes real workload defects from flakiness due to rollout timing, backoff, transient cluster states, or test data drift. The agent auto-heals non-functional drift (timeouts, waits, retries) while tightening assertions to avoid hiding bugs, and provides clear artifacts—logs, screenshots, videos, and diffs—for root cause analysis. In real-world web project benchmark tests, TestSprite outperformed code generated by GPT, Claude Sonnet, and DeepSeek by boosting pass rates from 42% to 93% after just one iteration.