Prevent outages before customers feel them
Catch regressions in PRs and pre-production, before customers see failures.
- Catch regressions before release
- Reduce change failure rate
- Ship faster with confidence
Zof 了解您的测试所保护的系统。
该平台不断映射服务、依赖项以及将代码移入其中的 CI/CD 管道。风险信号沿着图表传播，因此一项服务中的回归会针对它所涉及的所有内容呈现出来。
映射表面
20 项服务
跨队列、缓存、代理和外部。
变革意识
CI/CD 上下文
管道沿着图表显示。
风险传播
边沿电平信号
故障与依赖关系一起发生。
- 01 · SERVICE TOPOLOGY
20 services
28 dependency edges
- 02 · RISK SIGNALS
2 active
83% coverage observed
- 03 · CI/CD AWARENESS
Build succeeded
- Azure DevOps
- 8m 22s
The real cost of outages
Production incidents impact revenue, customer trust, and engineering velocity. Most are preventable with the right validation strategy.
$5.6M
Average cost per hour of downtime (enterprise)
Revenue loss
Direct revenue impact from service unavailability and transaction failures
80%
Of outages caused by changes, not infrastructure
Customer trust and churn
Long-term brand damage and customer attrition from reliability issues
60%
Of incidents preventable with better pre-production testing
Engineering disruption
Team burnout, context switching, and delayed feature work from incident response
Why prevention matters more than response: While incident response is essential, preventing failures before they reach production reduces cost, preserves customer trust, and keeps engineering teams focused on building rather than firefighting.
Why outages still happen (even with monitoring)
Traditional approaches catch issues after they occur. Prevention requires validation before production.
Monitoring detects failures after impact
Observability tools alert you when something breaks, but by then customers are already affected.
Scripts break as systems evolve
Test suites become brittle as applications change, creating gaps in coverage.
Test coverage doesn't equal reliability
High coverage metrics can mask missing integration tests and edge case validation.
Release velocity increases risk
Faster deployments multiply the chance of introducing regressions that slip through.
How Zof prevents outages
A clear, systematic approach to catching regressions before they reach production.
Map critical workflows and dependencies
Zof builds a System Graph of your environment: services, APIs, data flows, and integrations. When a change is made, it knows exactly what could be affected.
Deploy specialized validation agents
100+ AI agents test every dimension: functional correctness, performance, security, compatibility, and integration health. Each agent is an expert in its domain.
Trigger continuously (PR, deploy, schedule)
Every pull request, every commit, every scheduled run gets validated. Issues are caught in minutes, not after deployment.
Catch regressions across UI, APIs, integrations
Agents validate end-to-end workflows, API contracts, third-party integrations, and user-facing flows. Nothing slips through.
Block risky releases before impact
When validation fails, releases are gated automatically. Engineering teams get clear, actionable feedback to fix issues before production.
The outage prevention loop
Continuous validation gates releases before production impact.
Enterprise outcomes that matter
Metrics and capabilities that demonstrate reliability improvement and organizational leverage.
Up to 95%
Fewer production incidents
Catch regressions before deployment, reducing production incidents and improving DORA metrics.
Up to 90%
Faster release cycles
Automated validation gates enable confident releases without slowing down deployment velocity.
Measurable
Reduction in on-call burden
Preventive validation reduces firefighting, keeping engineering teams focused on building.
Real-time
Reliability dashboards
Comprehensive visibility into reliability metrics and validation coverage for leadership reporting.
Where this fits in your stack
Zof adds the missing prevention layer to your existing reliability toolchain.
CI/CD
Integrate with GitHub Actions, GitLab CI, Jenkins, and other pipelines to gate releases automatically.
Observability
Complement Datadog, New Relic, and other monitoring tools with preventive validation before production.
Incident management
Reduce incidents that flow into PagerDuty, Opsgenie, and similar platforms by catching issues earlier.
Ticketing
Integrate with Jira, Linear, and other systems to create tickets automatically when validation fails.
Enterprise-ready and trusted
Built for organizations that require security, compliance, and operational excellence.
Security posture
SOC 2 Type II, GDPR compliant, and SOC 2 Type II and GDPR controls.
Access controls and governance
Role-based access control, audit logs, and compliance reporting.
Enterprise onboarding
Dedicated support, custom integrations, and tailored deployment options.
Support
24/7 support, SLAs, and dedicated customer success for enterprise customers.
Reliability sessions
Preventing outages with continuous validation and pipeline visibility.
1:00Enterprise QAScaling Quality Assurance for Enterprise
How AI-powered testing fleets scale enterprise software validation, expanding coverage, accelerating releases, and preventing production incidents with quality intelligence and release confidence.
Watch session
0:54Reliability OperationsRestoring Engineering Velocity
Explore the hidden reliability bottlenecks slowing engineering teams and how quality intelligence with testing fleets restores velocity through evidence-based validation and governed remediation.
Watch session
Stop outages before they start
See how Zof prevents production failures and protects your revenue, reputation, and engineering velocity.
Related
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