Observability Consulting
KubeWright is an observability consultancy for enterprise platforms. We design telemetry architectures, SLO frameworks, and alerting that give engineering teams real production visibility - on the stack you already run or one we help you choose.
Delivered through our Reliability & Observability Engineering engagement, or as a workstream within a Platform Engineering Transformation.
What we do
We help platform and SRE teams move from reactive firefighting to structured reliability engineering. That typically means redesigning the telemetry architecture so metrics, logs, and traces are collected consistently, stored cost-effectively, and surfaced through self-service dashboards and alerting.
We are deliberately stack-agnostic. Most engagements involve some mix of commercial and open-source tooling, and the right answer for your platform depends on cost profile, scale, retention requirements, and how much of the operating model your team wants to own.
Typical workstreams
- Observability architecture review and target-state design
- Telemetry pipeline design across metrics, logs, and traces
- Instrumentation strategy and rollout (including OpenTelemetry)
- Stack selection or migration across commercial and open-source platforms
- Alerting redesign, noise reduction, and on-call workflow
- SLO/SLI framework implementation aligned to business outcomes
- Frontend and Real User Monitoring (RUM) correlation
- Telemetry cost optimisation, cardinality control, and retention strategy
Outcomes we deliver
- Clear, actionable production visibility across the entire estate
- Reduced alert fatigue and faster incident diagnosis
- Scalable telemetry architecture that holds up at high cardinality
- SLOs aligned with business objectives, with executive-level reporting
- Documented observability standards and golden paths
- Materially lower telemetry, logging, and APM costs
Selected results
£450k/year saved by retiring legacy logging; 2,000+ monitoring checks migrated to a self-service framework.
Read case study → CityFibre864M metrics/day platform built across 40+ Kubernetes clusters - greenfield observability for the entire organisation.
Read case study → NovonesisObservability stack migration with end-to-end metrics, logs, traces, and frontend Real User Monitoring correlation.
Read case study →Talk to us about your observability
This work is delivered through a Reliability & Observability Engineering engagement. Most start with a short call.
Frequently Asked Questions
What does an observability consultancy actually do?
We design and implement the telemetry architecture that gives engineering teams real visibility into production - metrics, logs, traces, and the alerting around them. That spans choosing or evolving the stack, instrumentation strategy, SLO frameworks aligned with business outcomes, and replacing noisy alerting with signal-led incident response.
Which observability stack do you work with?
Whichever one is right for the context. We have delivery experience with self-hosted open-source stacks (Prometheus, Grafana, Loki, Tempo, OpenTelemetry) and with commercial platforms (Datadog, Splunk, New Relic, Dynatrace, Honeycomb). Stack choice is driven by cost profile, scale, and operating model - not vendor preference.
How do you reduce observability costs?
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, restructure retention tiers, and - where the economics support it - migrate workloads between commercial and self-hosted platforms.
How does this fit your engagement offerings?
Observability work is delivered through our Reliability & Observability Engineering engagement (typical: 2-4 months), or as a workstream within a larger Platform Engineering Transformation.