See issues
before customers do.
Orbit is Cymonic’s AI-driven observability accelerator. It sits on top of the monitoring tools you already have, finds problems and patterns across infrastructure, applications and databases, and fixes them, with a person approving the risky ones.
- Works with your existing monitoring tools
- Your raw data stays where it is
- Nothing risky runs without approval
The challenge
Monitoring tells you something is wrong. Not why, or what to do.
- Problem 1
Signal overload
Every tool raises its own alerts. One incident that fires in three tools looks like three separate problems.
- Problem 2
Pattern blindness
Alerts show what is wrong right now. They do not show the job that fails every Monday at 09:00, or the disk that fills in four days.
- Problem 3
Remediation friction
Between knowing and fixing sit tool switching, runbook hunting and manual steps, all under pressure. Resolution takes longer and incidents spread.
How it works
From scattered signals to a fix in one loop.
Orbit connects to your sources, asks them for what it needs, and keeps only what it finds: issues, patterns, root causes and the actions taken.
- 01
Connect
Your monitoring tools, cloud and raw telemetry
- 02
Query
Asks the source on demand
- 03
Normalise
One common view of every signal
- 04
Analyse
Detect, correlate, find the cause
- 05
Report
Ranked issues, patterns, scorecards
- 06
Act
Fix with the right level of control
Orbit is not a data platform. Logs, metrics and traces stay in the systems that hold them. Nothing is copied, so there is no second copy to pay for or secure, and drill-down goes live to the source.
What it finds
Across infrastructure, applications and databases.
- Infrastructure
The compute, storage and network layer
- CPU spikes and memory exhaustion
- Disk fill, predicted before it happens
- Network saturation
- Container crash loops and node failure
- Application
The running services layer
- Error-rate spikes and latency increases
- Service unavailable
- Memory leaks
- Queue backlogs and crash loops
- Database
The most sensitive layer
- Slow query surges
- Connection pool exhaustion
- Replication lag and lock contention
- Failed backups
Connects the dots
The high-value finds that point tools miss.
Orbit correlates signals across sources and time, so one root cause shows up as one issue, with an AI-assisted explanation of what happened and why.
- Cross-source
Deploy → error spike
A deploy event plus a rise in 5xx errors minutes later points to a bad release.
- Cross-layer
Database slow → app latency
A slow-query surge plus a higher API response time is a database bottleneck reaching your API.
- Over time
Memory leak → crash loop
Memory creeping up for hours, then an out-of-memory kill, then restarts: one leak, not three alerts.
- Cascade
Disk fill → backup failure
Disk pressure, a failed backup and slower queries traced back to one cause.
Closing the loop
Fixes with control built in.
Every action has a risk level, and the risk level decides how much a person is involved.
- Trust Levels
Approval by risk
- Low risk: runs automatically
- Medium risk: runs, and the on-call engineer is told
- High risk: needs explicit approval
- Critical: needs two approvers
- Safety
Tested before trusted
- Dry-run mode shows what would happen
- State is captured before any fix
- Automatic rollback and escalation if it gets worse
- Accountability
Every step recorded
- Runbook library, plus AI-suggested fixes for new issues
- Effectiveness tracked after each fix
- Immutable audit trail of every action
See Orbit on your own monitoring stack.
Tell us what you monitor today and we will show you what Orbit finds.