Transform IT operations with AI-powered incident intelligence that connects observability, automated root cause analysis, institutional runbooks, and human-approved remediation into one intelligent operational workflow.
Reduction in MTTR
Operational SLA
Data Retention Risk
Human-in-the-Loop
Traditional monitoring stops at firing alerts. HealOps takes full ownership of the incident lifecycle — from telemetry ingestion to automated runbook execution and continuous learning.
Continuously ingest and correlate metrics, logs, traces, and events across cloud providers, Kubernetes, and enterprise microservices.
AI agents perform instant root-cause analysis (RCA), deduplicate 95% of alert noise, and generate precise, step-by-step remediation runbooks.
Human-in-the-loop control: On-call engineers receive diagnostic summaries on Slack/Teams/ITSM and review proposed actions with 1-click approvals.
Safely execute approved actions automatically: pod scaling, DB connection resets, cache flushing, or failover routines with automatic rollback guardrails.
Every resolved incident enriches the institutional knowledge base, refining AI decision confidence and future response accuracy.
Engineered for high-throughput enterprise infrastructure where every minute of downtime costs thousands of dollars.
Always on, always vigilant. Unified visibility into multi-tier applications, infrastructure, message queues, and databases.
Slash Mean Time to Detect (MTTD) down to 3 minutes and Mean Time to Resolve (MTTR) by up to 80% with automated AI diagnostics.
Seamlessly integrates across AWS, Microsoft Azure, Google Cloud, on-prem bare metal, and hybrid Kubernetes clusters.
Replace fragile manual runbooks with intelligent, self-correcting agents that evaluate contextual system state before action.
Eliminate engineer burnout and alert fatigue so your SRE teams spend time engineering resilient features, not firefighting.
Memory graph architecture stores past post-mortems and resolutions, making your platform smarter and more resilient each day.
No credit card required. Experience autonomous incident detection and remediation in a sandboxed or production cluster.
Select the primary cloud or compute environment where you plan to evaluate HealOps.
Select one or more tools your engineering team currently relies on for metrics and alerts.
Provide your official business email so we can instantly configure your isolated trial workspace.
Thank you for activating your trial. We have created your sandbox tenant and sent confirmation instructions along with lightweight agent connector scripts to your work email.
The direct installer package (.exe) is currently undergoing final optimization & setup. Since your trial registration is confirmed, our engineering team will reach out to you directly as soon as possible with your dedicated download link and onboarding credentials.
See the operational contrast between traditional reactive alert systems and HealOps autonomous operations.
| Operational Capability | Traditional APM & Monitoring | HealOps Autonomous Platform |
|---|---|---|
| Incident Detection | Static threshold rules, floods inboxes with false alarms | AI agentic multi-dimensional anomaly detection |
| Root-Cause Analysis (RCA) | Manual log grep and cross-team conference calls (1-4 hrs) | Instant topological RCA correlation in < 3 minutes |
| Runbook Execution | Static Wiki docs, manual SSH access, risk of human error | AI-synthesized runbooks with 1-click human approval |
| Remediation Mechanism | Purely manual intervention required for every fix | Autonomous execution with automated safety rollbacks |
| Knowledge Retention | Knowledge lives inside engineers' heads and gets lost | Persistent memory graph that auto-generates post-mortems |
Empower your engineering teams with AI agents that detect, investigate, and safely remediate incidents before they affect your end users.