Updated
September 10, 2026
Harness Resilience Testing facilitates collaboration between SREs and developers while automating chaos, load, and disaster recovery testing — beyond Gremlin's manual approach.
Feature Comparison
| Feature | Harness | Gremlin |
|---|---|---|
| Deployment modes & Scaling | ||
| SaaS offering | ||
| On-prem / self-managed platform | ||
| Air-gapped / enterprise deployment | ||
| Fault Coverage | ||
| Kubernetes chaos faults (230+) | 230+ experiments | |
| AWS (ECS, Lambda, EC2, RDS) | ||
| Azure / GCP chaos | ||
| VMware / Windows / Linux | ||
| Cloud Foundry / PCF | ||
| Custom / BYO chaos experiments | ||
| Orchestration & Automation | ||
| AI-driven experiment recommendations | ||
| Centralized execution plane | ||
| CI/CD native integration | Native Harness CD | |
| Resilience scoring | ||
| Parallel fault execution | ||
| Game-day portal | ||
| Observability probes (Prometheus, HTTP, K8s) | ||
| Security & Governance | ||
| Fine-grained RBAC | ||
| OPA policy enforcement | ||
| Kubernetes admission controller | ||
| Audit trails (2-year retention) | ||
| External secrets manager support | ||
Key Differentiators
Why SRE teams choose Harness Resilience Testing over Gremlin
AI-driven experiment recommendations
Harness automatically discovers services in your environment and recommends chaos experiments based on your architecture, deployment targets, and historical failure patterns — reducing the expertise needed to run effective chaos engineering.
Gremlin provides a library of attack types that engineers select and configure manually. There is no AI-powered recommendation engine to suggest which experiments are most valuable for your specific services.
230+ fault types across all environments
Harness provides 230+ out-of-the-box fault types covering Kubernetes (pod, node, network, volume), AWS (EC2, ECS, Lambda, RDS, ALB), Azure, GCP, VMware, Windows, Linux, and Cloud Foundry — the broadest fault coverage in the market.
Gremlin's attack types cover CPU, memory, network, and process failures for Linux and containers. Coverage for Kubernetes chaos (pod failures, network partitions at scale, node terminations) is more limited.
Native CI/CD integration for continuous resilience
Harness Resilience Testing is natively integrated with Harness CD pipelines. Chaos tests run automatically as part of every deployment — enabling continuous resilience validation as a standard engineering practice.
Gremlin integrates with CI/CD pipelines via APIs and custom scripts but has no native integration with delivery pipelines. Chaos testing is typically a separate, manually triggered process.
Resilience scoring and enterprise governance
Harness provides a Resilience Score per service and per experiment, tracking improvement over time against organizational SLOs. OPA policy enforcement and Kubernetes admission control ensure chaos experiments stay within safe boundaries.
Gremlin does not provide a resilience score that tracks improvement over time. Governance is basic — limited RBAC and no OPA policy enforcement for controlling which chaos experiments can run in production.
Decision Guide
Gremlin is good for
- Your team is experienced with chaos engineering and wants Gremlin's mature UI and attack library
- Simple CPU/memory/network chaos on Linux machines is your primary use case
- You need Gremlin's specific scenario builder and game day portal
Harness is best for
- AI-driven chaos experiment recommendations reduce the expertise barrier
- You need the broadest fault coverage across Kubernetes, AWS, Azure, and GCP
- Native CI/CD integration for continuous resilience testing is required
- Resilience scoring and enterprise governance (OPA) are priorities
Summary
Gremlin showed the industry how to do chaos engineering. Harness shows how to make it continuous and automated.
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