For SRE & operations
Keep it running. Know the moment it slips.
You carry the pager and the postmortem. IntegraCI gives you reliability you can watch: SLOs and DORA built from your own delivery data, incidents with the runbook already attached, and metrics, logs, and traces in one place. Recovery is there when you want it, opt-in and held behind a human approval, so automation never acts on its own. From a guided evaluation to a self-hosted, air-gapped install.
Incidents & response
When it breaks, the runbook is already attached.
The worst time to go looking for the playbook is mid-incident. IntegraCI keeps the incident, its timeline, and the runbook in one place, so the on-call follows known steps and the postmortem is already half-written when the dust settles.
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Declared, tracked, timelined
An incident gets a record the moment it opens. Severity, owner, and every step are tracked on one timeline, so the postmortem writes itself instead of being reconstructed from chat scrollback.
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Runbooks that actually run
Attach a runbook to the failure mode and run it from the incident. The steps are versioned and recorded, so the fix the on-call ran at 3am is the fix everyone can see and repeat.
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Every action recorded
Each declare, acknowledge, runbook step, and resolution is chained to a tamper-evident trail. When someone asks what happened and when, you hand them the record.
- declared sev2 · payments-api #a1f3…
- acknowledged user:rui #b7c2…
- runbook.run restart-workers #c9e1…
- resolved postmortem linked #d3f8…
each entry chained to the last
- availability within budget
- latency p99 burning
DORA from your real deploys
Reliability & delivery health
Reliability you can see, from your own data.
You cannot defend a number you cannot see. SLO budgets and DORA metrics are built from what your teams actually ship and run, so you spot a service drifting from its objective early and spend your reliability work where it counts.
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SLOs with a budget you can watch
Track availability and latency objectives per service and see the error budget burn before it runs out, so you spend reliability work where it actually moves the number.
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DORA from what you ship
Deploy frequency, lead time, change-fail rate, and time to restore come from your real delivery data. The dashboards reflect what your teams do, not a survey.
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One read across services
See delivery and reliability health across the whole portfolio in one place, so a service drifting from its objective is visible before it becomes a page.
Observability
Metrics, logs, and traces, without tab-hopping.
Root cause hides in the gap between three tools. IntegraCI brings the rate, errors, and duration for each service together and lets you jump from a spiking metric straight to the trace behind it, using the observability stack you already run.
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RED per service
Rate, errors, and duration for each service on a dashboard that ships with the golden path, so a new service is observable from its first deploy.
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Metrics, logs, and traces together
Move from a spiking metric to the logs and the trace behind it without hopping tabs. The signal you need to find root cause is in one place.
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Your Grafana, embedded
Connect the observability stack you already run. IntegraCI embeds your dashboards rather than asking you to rebuild them somewhere new.
- rate ▁▂▃▅▇▆▅
- errors ▁▁▂▁▁▃▁
- duration p50 · p95 · p99
metric → trace in one jump
- detected drift: replicas 3 → 1
- proposed scale workers to 3
- waiting human approval held
held behind a cooldown until approved
Recovery, governed
Recovery you opt into. A human still says go.
Automated recovery that acts on its own is how a small problem becomes a big one. IntegraCI watches for drift and can roll back, restart, or scale, but the action is something you turn on and a person approves, held behind cooldowns and recorded on the audit trail.
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An early signal on drift
Catch the live cluster wandering from its intended state before it becomes an incident. The signal reaches you while there is still time to act calmly.
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Recovery behind a gate
Recovery can roll back, restart, or scale, but it is opt-in and held behind cooldowns and a human approval. Automation proposes; a person still says go.
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Nothing runs unwatched
Every proposed and approved action is recorded on the same trail as the rest. Automated recovery is auditable, not a black box that acts on its own.
By industry
See it tuned to your sector.
The same reliability, incidents, and recovery, framed by the constraints each sector works under.
Run it reliably. Prove what happened.
Request a demo and see SLOs, incidents, observability, and governed recovery working on your own services. Bring your Grafana and your runbooks. Keep it all on infrastructure you own.