We help engineering teams see more and spend less. From instrumentation to insight, we design, build and run observability that fits your stack - Grafana, Datadog, Dynatrace, Splunk, Elastic or New Relic - in the cloud, on-prem or anywhere in between. Your telemetry should belong to you, not your vendor: that's why we build on OpenTelemetry wherever it makes sense.
Trusted in demanding sectors - retail, banking, finance, insurance and manufacturing - where every incident has a cost and every answer needs evidence. UK-based, working with teams worldwide.
From instrumentation to insight - we cover every signal and the practices that make them useful.
Observability engineers embedded in your team - plus advisory retainers, maturity assessments and enablement. Fractional o11y leadership, from strategy through hands-on delivery.
advisory · training · enablementAlready on a commercial platform? We implement, tune and govern Datadog, Dynatrace, Splunk, Elastic and New Relic - so you get the value you're actually paying for.
implementation · tuning · governanceObservability bills grow quietly: ingest creeps, cardinality explodes, retention defaults go unquestioned. We audit what you ingest against what you actually use, cut the noise at the pipeline - sampling, filtering, aggregation - right-size retention tiers and licence commitments, and put showback in place so every team sees what their telemetry costs. Most engagements pay for themselves inside a quarter.
ingest audits · sampling · showbackMetric design, cardinality control, and dashboards that answer questions instead of decorating walls - on Prometheus and Grafana, Datadog, Dynatrace, or wherever your metrics live.
prometheus · mimir · datadog · dynatraceStructured logging strategy, cost-aware pipelines, and query patterns that turn log volume into signal - Loki, Splunk, Elastic or Datadog.
loki · splunk · elastic · datadogDistributed tracing rollouts with OpenTelemetry - context propagation, sampling strategy, and flame graphs your team actually reads, whatever the backend.
otel · tempo · datadog apm · dynatraceSLIs that reflect user experience, error budgets that drive decisions, and reporting leadership understands.
slis · error budgets · burn ratesMulti-window burn-rate alerting, noise reduction, runbooks, and incident review practices that end alert fatigue - on any platform.
grafana · datadog monitors · pagerdutyVendor-to-vendor and vendor-to-OSS migrations - Datadog, Dynatrace, Splunk, New Relic, Elastic, Grafana stack - without losing history or sanity.
zero lock-inBeyond the core signals, every platform ships specialist products - we know which ones earn their licence cost, and we roll them out properly.
One open standard for every signal. Instrument once, send anywhere, never get locked in again.
One open standard across your whole estate. Change observability vendor by changing a config line - not by re-instrumenting hundreds of services. Lock-in ends at the source.
Traces, metrics and logs share one context. Jump from a slow request to its traces, the logs it produced and the metrics it moved - one click, not three browser tabs and a guess.
Auto-instrumentation for Java, .NET, Python, Node and Go gets most of your estate emitting telemetry with zero code changes. We add manual spans only where they earn their keep.
Tail sampling, filtering and routing in the collector - keep the traces that matter, drop the noise before your vendor charges to ingest it. Typical estates cut telemetry spend 30-60%.
Semantic conventions make telemetry queryable across every team and service. PII redaction and data residency enforced in the pipeline, before anything leaves your network.
Dual-ship telemetry to your old and new platforms side by side. Evaluate properly, train the team, then cut over - no big-bang weekend, no observability blackout.