Cloud & DevOps
Observability
Structured logging, distributed tracing and metrics wired to dashboards, so a question about production is answered by querying rather than guessing.
In short
Logs, traces and metrics you can query.
What we deliver
- Structured logging with consistent correlation identifiers
- Distributed tracing across service boundaries
- Dashboards built around the questions you actually ask
- Retention and cost tuned deliberately
A good fit when
- Debugging production means adding logs and waiting
- You cannot tell which service caused a slow request
- Observability spend is rising and nobody knows why
Technologies and methods
Chosen for each project, to fit your systems and your team.
- OpenTelemetry
- Grafana
- Sentry
How we deliver
From first conversation to production.
Four stages on every engagement, scaled to the size of the project.
- 1
Understand
Clarify the users, goals, constraints, and current systems.
- 2
Plan
Map the main components, data, and integrations before implementation.
- 3
Build
Develop and review the work in small, testable increments.
- 4
Prepare
Plan deployment, operations, documentation, and ownership.
More in Cloud & DevOps
- Cloud MigrationMoving workloads without a big-bang cutover.
- Cloud-Native DevelopmentSystems built for the platform they run on.
- DevOps & Continuous DeliveryDeploys that are boring and reversible.
- Platform Engineering & SREReliability targets with alerting to match.
- Cloud FinOpsSpend reduced without losing headroom.
- Resilience & Disaster RecoveryA restore path somebody has tested.
Prefer to talk it through?
A private consultation, 30 minutes with the founder, in your time zone.
Interested in Observability?
Tell us what you are working on. We start by understanding the problem, the people, and the systems involved.