SRE KPI IMPACT
Metrics That Matter for Reliability
The Reality of Modern SRE
You built observability, you wrote runbooks, you set up alerts. But you are still in reactive mode-responding to incidents instead of preventing them.
Toil Consumes Your Time
Manual reliability work-test maintenance, incident investigation, capacity planning-takes time from automation and improvement projects.
Observability Shows, Not Prevents
Dashboards and alerts tell you something is wrong. They do not prevent the wrong from happening in the first place.
Error Budgets Burn Fast
One bad deployment can consume your entire error budget. Then you are stuck in lockdown mode, blocking releases.
Change Is the Enemy
Every deployment is a risk. You want developers to ship fast, but speed often means incidents. The tension is exhausting.
Proactive Reliability with Zof
Zof validates reliability before deployment-not after. Every change is tested against performance, resilience, and failure scenarios automatically.
Reliability Agents
Purpose-built agents for SRE concerns: load testing, stress testing, endurance testing, chaos engineering, and resilience validation.
Pre-Deployment Gates
Automated validation gates that run in CI/CD. Changes that would cause incidents are blocked before merge.
System Graph Context
Zof understands your architecture. It knows which services are critical, how failures propagate, and what each change affects.
Reliability Scoring
Quantified reliability metrics for every service and team. Track improvement over time. Tie reliability to OKRs.
INTEGRATIONS
Works with Your Stack
Zof plugs into your existing observability, incident management, and deployment tooling.
OBSERVABILITY
INCIDENT MANAGEMENT
CI/CD
COMMUNICATION
SRE Use Cases
Pre-Production Validation
Scenario: Before any deployment, Zof runs load tests, chaos experiments, and resilience checks automatically.
Outcome: Catch performance regressions and failure handling bugs before they reach production.
Chaos Engineering at Scale
Scenario: Reliability agents inject failures systematically based on your System Graph-not random chaos.
Outcome: Validate circuit breakers, retry logic, and graceful degradation work as designed.
SLO Protection
Scenario: Changes that would violate SLOs are flagged before merge. Error budgets are protected proactively.
Outcome: Maintain error budgets and avoid freeze periods from budget exhaustion.
Capacity Planning
Scenario: Scalability agents validate behavior at projected load levels before you hit them in production.
Outcome: Right-size infrastructure and avoid capacity-related incidents.
“We went from averaging 12 incidents per month to 1. Our on-call rotation is boring now-and that is exactly what we wanted. Zof catches the issues that used to wake us up.”
Ready for Proactive Reliability?
See how Zof can transform your SRE practice from reactive to proactive.
30-minute demo · Customized for SRE teams · See reliability scoring in action