Four questions almost no engineering org can answer
Disruption riskDoes your business lose uptime if one small disruption happens, like a pod eviction, a node drain, or an AZ blip?
Release riskIs every new build you push to production quietly adding resilience risk?
Load riskDo your services get slow or fall over when traffic spikes above normal?
Disaster riskIf you declare a disaster and fail over to your backup site, will you actually meet your RTO and RPO?
Test. Score. Improve.
Resilience probes. Measure HTTP health, Prometheus metrics, and Kubernetes resource state with any APM platform, from Dynatrace, Datadog, to your own custom tooling — during every fault injection.
Pipeline-gated scoring. A resilience score is computed per experiment and returned to your pipeline — gate releases on measurable thresholds.
Coverage reports. Service-level coverage reports show which services have been tested and which gaps remain.
Blast radius maps. Application maps reveal blast radius — visualizing how a fault in one service propagates across dependencies.
Resilience Risk Insights
Predictive risk detectionAgents predict the failure mode before anything runs, with no agent, no instrumentation, and no experiment to design.
Resilience Risk ScoreEvery service gets a score weighted by severity and business tier across five risk categories, so revenue-facing risk surfaces first.
RecommendationsEvery finding carries raw evidence, a plain-language explanation of what breaks, and remediation guidance generated by agents.
Coverage gap analysisSee which services have never been chaos, load, or DR tested, flagged directly in pull requests and gated in your pipeline.
Ship with confidence
Agents predict resilience risk, then chaos, load, and disaster recovery testing prove it, all gated in your SDLC before customers find your weak points.
Chaos testing
Inject controlled faults to identify system weak points and validate behavior under stress with proactive failure simulation.
Load testing
Combine chaos experiments with load testing to measure system behavior under stress and identify failure modes at scale.
Disaster recovery testing
Automate regional failovers and validate recovery against mandated RTO/RPO targets. Auto-generated compliance audit trails with timestamps, actions, and outcomes, designed for regulated industries.
Resilience risk insights
Passively scan deployed resources and pipeline metadata to surface a ranked list of resilience risks, with no faults injected and no experiments required.
CI/PR risk detection
Flag resilience regressions directly in the pull request, including missing resource limits, new untested dependencies, and coverage drops.
Risk API & CD gate
A REST endpoint exposes the risk scan so any pipeline can gate promotion on resilience, the same way it already gates on security.
Suppression & audit trail
Accept a known risk with justification and an expiry date. Every change is logged immutably for auditors.
Resilience scores
Resilience probes validate system health during every experiment. A resilience score is returned to the pipeline so you can gate releases on measurable outcomes.
ChaosHub library
230+ out-of-the-box chaos faults covering pods, networks, CPU, memory, cloud resources, and dependencies.
ChaosGuard & policies
Rule-based policy enforcement that controls who can run which faults, on which targets, and during which time windows — minimizing blast radius before experiments execute.
AI topology mapping
Automatic service discovery and application map visualization — with AI-powered experiment recommendations to identify your highest-risk failure points.
CI/CD integration
Seamless pipeline integration for automated resilience testing on every deployment and release.
ChaosStudio
Drag-and-drop visual builder for complex multi-step chaos workflows. Design, preview, and run experiments without scripting.
Enterprise ChaosHubs
Version-controlled experiment libraries shared across teams with approval workflows and governance built in.
Service discovery
Automatically discover and map Kubernetes, cloud, and database targets with no manual configuration required.
APM integration
Native integrations with Dynatrace, AppDynamics, New Relic, and Datadog for observability-driven resilience probes.
Resilience dashboards
Track resilience score trends, experiment coverage, and MTTR improvements over time with team-level visibility.
Agentless chaos
Cloud API-driven fault injection with no agent installation required. Works on AWS, Azure, and GCP on day one.
Resilience testing for your whole team
Validate resilience before production
See predicted resilience risks before writing a single test, then generate the chaos experiment that confirms it
Test APIs and dependencies under degraded conditions with controlled chaos
230+ pre-built chaos faults from ChaosHub — no custom scripts needed
Combine load and chaos testing to identify real-world failure scenarios
Proven resilience at scale
“Harness resilience testing gave us confidence to scale. We discovered and fixed 3 critical failure modes before Black Friday — our uptime was flawless under 10x normal load.”
— , Principal SRE, E-commerce
“The 230+ chaos faults in ChaosHub saved us months of work. We went from zero chaos engineering to comprehensive resilience testing in 2 weeks.”
— , Head of Platform Engineering, Financial Services
“DR failover testing was a game changer. We validated our entire disaster recovery plan in minutes — and found gaps we never would have caught in a real incident.”
— , VP of Engineering, Enterprise SaaS
Connects to your stack on day one
Harness Resilience Testing fits into your existing pipelines, notification channels, and development environments — no rip-and-replace.
Get started with Harness Resilience Testing
Book a 30-minute session and see how Harness scans your architecture, predicts where it will break, and runs the experiment that proves it, all without touching production.