AI Operations
Bridge incident detection and remediation automatically. MacroCloud AI Operations analyzes telemetry logs, correlates alerts with your active topology, and generates validated pull requests to resolve incidents.
Product Workflow
A seamless, automated execution flow built for the enterprise.
Key Capabilities
Bring operational resilience to your infrastructure. AI Operations continuously scans cross-cloud metrics, pinpointing root cause dependencies and generating validated code remedies automatically.
Recommended Industries
Who This Is For
- DevOps & SRE Teams
- Operations Engineers
- Incident Managers
- Telemetry Correlation: Ingest metrics, traces, and logs from your monitoring suites (Datadog, Dynatrace).
- Topology RCA Engine: Map incidents to your visual architecture to isolate root cause dependencies.
- Automated Fix Code: Generate validated pull requests to correct infrastructure defects as code.
Business Outcomes
Eliminate Alert Noise
Stop chasing false alarms. Our correlation engine filters out alert storms, highlighting only the verified root cause incident in your active topology.
Minimize MTTR
Decrease Mean Time to Resolution from hours to under 15 minutes. Automatically trigger pipeline rollbacks or configure fix pull requests instantly.
Predictive Anomalies
Detect performance anomalies before they affect users. Identify DB connection saturation or memory exhaustion trends hours in advance.
Incident Playbooks
Ensure operational consistency. Automatically execute pre-approved, code-based incident playbooks when verified failures occur.
Core Use Cases
Automated Rightsizing Code
When VM memory falls under 5% usage for 7 days, AI Ops generates a Git pull request to downsize the instance type, requiring manager approval before merging.
Connection Pool Sizing
Identify database connection drops, correlate them with network traffic spikes, and automatically generate pull requests updating connection pool properties.
Ephemeral Clean-up
Automatically detect and clean up orphaned testing resource blocks that have exceeded their time-to-live threshold, saving compute costs.