Three signals together
Metrics, logs, and traces sit side by side for each service you operate.
Operate
Observability
Metrics, logs, and traces, one view per service
See metrics, logs, and traces for each service together, with a per-service RED view that puts rate, errors, and duration at your fingertips. It embeds the dashboards you already run, so you bring your existing tooling rather than replacing it. You get one place to ask why a service is behaving the way it is.
- One place to see metrics, logs, and traces for each service together
- Rate, errors, and duration at a glance for a fast read on any service
- Existing dashboards in context, with no tool replacement required
The problem
When a service misbehaves, you end up switching between your metrics tool, your log aggregator, and your trace viewer to piece together what happened. Each signal lives in a separate place, so diagnosing why a service is slow or failing means stitching context together by hand across tabs, and the time you spend navigating is time you are not spending on the actual problem.
Without IntegraCI
- Metrics, logs, and traces in separate tools with no shared context
- No quick read on rate, errors, and duration per service
- Dashboard views outside the service context, requiring tool-switching
- Diagnosis time spent navigating rather than investigating
With IntegraCI
- Metrics, logs, and traces side by side for each service
- A per-service RED view for a fast read on service health
- Your existing dashboards embedded in context
- One place to ask why a service is behaving the way it is
What you get
Per-service RED view
Rate, errors, and duration give you a fast read on how a service is doing.
Embed your dashboards
The dashboards you already run appear in context, so your existing tooling comes with you.
Service-scoped context
Everything is framed around the service, so you spend less time hunting across tools.
How it works
- 1
Connect signals
Your metrics, logs, and traces flow into a per-service view.
- 2
Read the RED
You scan rate, errors, and duration to spot what changed.
- 3
Embed dashboards
Your existing dashboards render inline so you keep one place to look.
How it stays governed
The same gates everyone passes, applied here.
Gated by policy
Access to each service's signals is governed by policy as code, and database-enforced row-level security ensures that a team member sees only the services they are permitted to view. The access rules travel with the service, not with the individual dashboard.
Recorded, tamper-evident
Each access to a service's observability view lands in a tamper-evident audit trail, so you can show who looked at which service signals and when, without relying on tool-specific logs that live outside your control.
Works with your stack
Connect the tools you already run.
Connect your existing metrics, log, and trace backends. Dashboards render inline from the tools you already run.
- Apple
- Argo Project
- AWS
- Cloudflare
- CNCF
- Coder
- Crunchy Data
- Daytona
- Env0
- Keycloak
- MongoDB
- Okta
- OutSystems
- Pulumi
- Rancher
- Red Hat
- Sonatype
- +13 more
Who it’s for
Where teams reach for it.
Incident diagnosis
When a service starts returning errors, you pull up the service view and scan rate, errors, and duration alongside the logs from the same window. You reach the cause faster because you are not switching between tools to correlate what happened.
Regular service health review
Teams doing a routine review of their services use the RED view to spot which services have drifted from normal. The per-service framing means every team sees its own services without hunting through a shared dashboard.
Surfacing existing dashboards in one place
A platform team that already runs dashboards for each service can surface them inside the service view. Teams get one place to look without the platform team migrating off the tooling they already trust.
Questions, answered.
Does IntegraCI replace my metrics or logging tool?
No. IntegraCI brings the signals from the tools you already run into one service-scoped view. Your existing backends keep running; IntegraCI presents their output in context so you have one place to look.
Which observability tools can I connect?
IntegraCI connects to observability backends through its connector library. Your metrics, log, and trace sources flow into the per-service view, and your existing dashboards render inline without leaving the platform.
How is access to sensitive log data controlled?
Access to each service's signals is governed by policy as code. Database-enforced row-level security ensures a team member sees only the services they are permitted to view, regardless of which page they navigate to.
What is the RED view and how is it populated?
RED stands for rate, errors, and duration. These three signals give a fast read on how a service is performing. They are drawn from the metrics signals flowing in through your connected observability backend, not computed separately by IntegraCI.
Put Observability on your stack.
Request a demo, or read the docs to see how it fits the tools you already run.