Reliability & Observability Engineering
A focused engagement to improve production visibility, alerting quality, telemetry architecture, and reliability practices. We help teams move from reactive firefighting to structured reliability engineering with clear signals and measurable objectives.
Typical workstreams
- Observability architecture design and implementation
- Telemetry pipeline design (metrics, logs, traces)
- Instrumentation strategy and rollout
- Alerting redesign and noise reduction
- SLO/SLI framework implementation
- Monitoring stack deployment and migration
- Observability cost optimisation
What you get
- Clear, actionable production visibility
- Reduced alert fatigue and faster incident diagnosis
- Scalable telemetry architecture
- SLOs aligned with business objectives
- Documented observability standards
- Lower telemetry and logging costs
Best suited for
Teams experiencing alert fatigue, poor production visibility, telemetry sprawl, or rising observability costs. Often engaged alongside or after platform transformation work, or as a standalone engagement for organisations with specific reliability concerns.
Selected results
864M metrics/day platform across 40+ Kubernetes clusters - greenfield observability for the entire organisation.
Read case study → ITV£450k/year saved by retiring legacy logging; 2,000+ monitoring checks migrated to a self-service framework.
Read case study → NovonesisObservability stack migration with end-to-end metrics, logs, traces, and frontend Real User Monitoring.
Read case study →Related capabilities
Talk to us about reliability
Most engagements start with a short call. We'll confirm scope and the right shape of engagement.
Frequently Asked Questions
When does this engagement make sense?
When teams are experiencing alert fatigue, poor production visibility, telemetry sprawl, or rising observability costs. Often engaged alongside or after platform transformation work, or as a standalone engagement when reliability is the dominant concern.
Do you work with our existing observability stack?
Yes. We are deliberately stack-agnostic and have delivery experience across commercial platforms (Datadog, Splunk, New Relic, Dynatrace, Honeycomb) and open-source stacks (Prometheus, Grafana, Loki, Tempo, OpenTelemetry). Stack decisions are driven by your cost profile, scale, and operating model.
Can you reduce our observability costs?
Often substantially. Most observability cost blowouts come from over-collection, retention sprawl, and high-cardinality metrics nobody uses. We audit the telemetry pipeline end-to-end, cut what isn't producing value, and restructure retention tiers. On ITV we delivered £450k/year in logging cost savings.
What does success look like?
Engineers can see what is happening in production, get woken up only for real problems, and resolve incidents faster when they happen. SLOs are aligned with business objectives. Telemetry costs are predictable and proportionate to the value they produce.