Data Engineering & Observability
You are collecting the data. Are you getting the answers?
We build the pipelines and observability that turn raw events and telemetry into something you can act on: normalized data, error budgets and SLOs, and alerting that surfaces real problems before your customers do.
Talk to a data engineerRunning specifically on Elastic? See Elastic Platform Services
Why data goes dark
Teams instrument everything and understand nothing. Logs land inconsistently, metrics have no owner, dashboards multiply without insight, and the first sign of an outage is a customer email.
The fix is not more data. It is normalized, well-modeled data and observability designed around the questions you actually need answered. That takes parsing and mapping up front, but everything downstream gets simpler.
From raw events to decisions
Ingest & Normalization
Reliable pipelines with schema normalization (Elastic Common Schema and OpenTelemetry semantic conventions) so source.ip means source.ip everywhere and downstream tools can trust the data.
Observability Instrumentation
Vendor-neutral OpenTelemetry instrumentation: traces, metrics, and logs that actually correlate, without locking you to a single backend.
SLOs & Burn-Rate Alerting
Error budgets and multi-burn-rate, multiwindow alerting in the canonical Google SRE style, so pages fire on real budget burn and stay quiet otherwise.
Dashboards That Answer Questions
Dashboards built around decisions, not vanity metrics, so the answer is one glance away.
Built to shorten incidents
We have run the on-call
Our observability is designed by people who have been paged at 3am, built to shorten incidents, not decorate a wall.
Standards-first, vendor-neutral
We build on open standards, OpenTelemetry and ECS, so your telemetry stays portable and you are not hostage to one platform.
Data you can trust
Normalization first. If the data is not clean, nothing downstream is.
Is this you?
- Teams whose dashboards are noisy but not useful.
- Companies whose first outage signal is a customer complaint.
- Engineering orgs adopting OpenTelemetry or SLOs for the first time.
- Teams drowning in logs with no normalization or ownership.
Fixed scope. No drift.
We start by mapping the questions you need answered, then work backward to the instrumentation and pipelines that answer them. Delivered in fixed-scope increments, each one usable on its own.
Turn telemetry into answers
Start with an observability review. We will show you what your current data can and cannot tell you, and how to close the gap.
Talk to a data engineer