Understand
Turn angry computer screaming into useful answers.
Your cloud. Your data. Our observability.
An open source observability stack, built and operated inside your cloud.
You get the visibility. We take the operational burden.
Talk to usThe tool is only half the job.
Someone still has to tune, scale and own it.
That's us.
The team behind the team. Team-ception.
Instrument
Capture the signals worth keeping.
Operate
Keep telemetry healthy while your team builds features.
Optimise
Cut noise, waste and runaway observability costs as you scale.
One view across 20+ services and 82.9 million daily metric samples.
An online wellness platform needed one clear view across fragmented tools.An online wellness platform had fragmented APM tools and CloudWatch streams. Following a request meant piecing together clues.
We built an open source stack with custom instrumentation and tighter telemetry controls.We built a vendor-neutral open source observability stack, including custom Lambda instrumentation, tail sampling and cardinality controls.
Faster investigation. Fewer blind spots. Less reactive work.Faster investigations, fewer blind spots and more proactive engineering.
Read the case studyOpen source is free as in puppy.
Free software still needs feeding, updates and the occasional walk. We take care of it.Free software still needs updates, storage, scaling and someone to take it for walks.
Self-hosting gives you control. We add the convenience.Self-hosting gives you control. SaaS gives you convenience and a bill that grows with your telemetry.
You keep the control.
You keep the data.
We keep the operational headache.
What does your telemetry really cost?
Explore how volume, sampling and retention shape your bill.Explore how volume, sampling and retention shape the bill before data starts piling up.
Shape the signal
ESTIMATED TELEMETRY FOOTPRINT
43 GB
generated daily
1.3 TB
ingested monthly
454 GB
stored after compression
Illustrative monthly total
Illustration only, not a quote. Assumes 30 days per month and 35% stored size after compression. Rates are editable; compute, network, replicas, backups and operations are excluded. Sampling here is a simplified whole-stream reduction, not a recommendation to drop useful signals.
Find the problem on Tuesday. Not at 2 AM.
Telemetry
Capture meaningful data instead of simply creating more volume.
Storage
Keep useful history without carrying unnecessary storage cost.
Alerts
Surface what needs attention and filter the background noise.
Pipelines
Keep signals flowing reliably from systems to dashboards.
Performance
Keep the stack responsive when traffic spikes.
Observability stack health
Monitor the monitoring so the view stays dependable.
The goal isn't to get really good at fixing fires. It's to have fewer fires.
→
Stop running your observability like it's a side project.
Built in your cloud. Managed by Infraspec. One less thing to babysit.