Understand
Turn angry computer screaming into a clear picture of what matters.
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 needs to tune, scale and own it as your systems change.
That's us.
The team behind the team. Team-ception.
Instrument
Instrument your systems to capture every signal 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 had fragmented APM tools and disconnected CloudWatch streams. Following one request across services meant piecing together clues.
We built a vendor-neutral open source observability stack, including custom Lambda instrumentation, tail sampling and cardinality controls.
The result was faster investigation, fewer blind spots and a shift from reactive troubleshooting to proactive engineering.
Read the case studyOpen source is free as in puppy.
The software is free. Keeping it healthy takes updates, storage, scaling and someone to take it for walks when your team is busy.
Self-hosting gives you control. SaaS gives you convenience and a bill that grows with your telemetry.
We keep the stack running inside your cloud as traffic and services grow.
You keep the control.
You keep the data.
We keep the operational headache.
What does your telemetry really cost?
Volume, sampling and retention all change the shape of the bill. Move the inputs and see the trade-offs before the 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.
We'd rather find the problem on a Tuesday than during an incident 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.
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Stop running your observability like it's a side project.
Built in your cloud. Managed by Infraspec. One less thing to babysit.