AI Evals
The quality gate for AI agents, built into your Agent Development Lifecycle.
- AI Quality & Reliability
Bring teams, models, knowledge and systems together around the work
Enterprise AI Platform
AI Intelligence & Models
AI Assistant & Productivity
Agent Platform & Orchestration
//Resilience Testing
Agents predict where resilience will break, recommend the fix, and generate the test that proves it. Read-only, evidence-backed, and reviewed by a person before anything runs.
ChaosHub
Pods, networks, CPU, memory, cloud resources, and dependencies, ready to run with no custom scripts.
Safe
Deployed resources and pipeline metadata scanned for resilience risk, with zero blast radius.
Coverage
A resilience score from every experiment returns to your pipeline, so releases gate on it.
//Overview
Resilience testing checks how systems behave under failure and stress, using chaos engineering to inject faults, load testing to add pressure and disaster recovery tests to validate failover against recovery targets.
DataObserve Developer's agents scan read-only for resilience risk, recommend fixes and generate the test that proves them. Chaos, load and disaster recovery tests run in your pipelines, governed by ChaosGuard rules and reviewed by a person before anything runs.
//The problem
Most teams own chaos, load, and DR tools and still can't answer them.
Does a small disruption, like a pod eviction, node drain, or AZ blip, cost you uptime?
Is every new build quietly adding resilience risk?
Do your services slow down or fall over when traffic spikes?
If you fail over to your backup site, will you meet your RTO and RPO?
//Explore more withDataObserve
The quality gate for AI agents, built into your Agent Development Lifecycle.
Reduce MTTR by connecting alerts, changes, and human insight with AI.
The runtime management platform.
The Software Delivery Knowledge Graph gives AI agents a continuously updated, relationship-aware model of your delivery environment, so automation aligns with reality.
//Ship with confidence
Controlled faults reveal weak points and validate behavior under stress.
Chaos combined with load shows how systems fail at scale.
Regional failovers validated against RTO/RPO targets, with audit trails for regulated industries.
Rules decide who can run which faults, on which targets, and when.
//FAQs
What is chaos engineering?
Chaos engineering deliberately injects controlled faults, such as killing a pod or adding network latency, to find weak points before real failures do.
What are RTO and RPO?
Recovery time objective (RTO) is how long a service may be down after a disaster. Recovery point objective (RPO) is how much data loss is acceptable. Disaster recovery tests check both.
Is chaos testing safe to run?
With guardrails, yes. The initial risk scan is read-only, ChaosGuard rules limit who can run which faults where, and a person reviews each test before it runs.
What is ChaosGuard?
ChaosGuard is a set of rules that decides who can run which faults, on which targets and when, so chaos testing stays safe.
// Designed for enterprises
Review security, data handling and deployment requirements with our team.
Keep sensitive information within your organization’s approved data boundaries.
Define who can access connected data and which actions require approval.
Plan deployment around your infrastructure and operational requirements.
