Let AI Run
Your Operations
Your on-call engineers shouldn't be woken up by noise. ZippyOPS implements AI-driven observability and incident automation — so your systems self-heal, anomalies are detected early and your team focuses on what matters.
What We Do
We build a unified observability stack with AI-assisted anomaly detection, automated runbooks and intelligent alerting — reducing noise, accelerating resolution and eliminating toil from your operations team.
- Full-stack observability with metrics, logs and traces (OpenTelemetry, Prometheus, Loki, Tempo)
- AI-powered anomaly detection and root cause analysis
- Predictive alerting to catch issues 10–30 minutes before they become incidents
- Automated incident triage, self-healing runbooks and smart escalation workflows
- Unified dashboards and SLO tracking in Grafana with error budget alerts
- Log intelligence and pattern recognition with ELK, OpenSearch and SigNoz
- Chaos engineering — proactive failure testing with LitmusChaos and GameDays
What You'll Walk Away With
A unified observability stack with metrics, logs and traces correlated in one platform
AI-driven anomaly detection reducing alert noise by over 60%
Automated runbooks resolving common incidents without human intervention
SLO dashboards giving leadership real-time visibility into system reliability
Ready to Eliminate Operational Toil?
Book a free consultation with our AIOps specialists. We'll review your observability setup and show you how to get ahead of incidents.