// STANDARD: OPENTELEMETRY
OpenTelemetry: your insurance against vendor lock-in
OpenTelemetry is the open standard for traces, metrics and logs – backed by all major platforms. We introduce it in a structured way: SDKs and auto-instrumentation per language, semantic conventions for consistent data, a collector architecture as the control point. Your telemetry belongs to you – any backend can plug in.
- Instrumentation strategy across all languages and teams – with semantic conventions instead of sprawl
- Collector architectures that control cardinality and costs before they arise
- Blind-spot analysis: we find the gaps in your telemetry that nobody shows you today
- Success guarantee: measurable acceptance criteria instead of a leap of faith – that is how we share your project risk
First step: a short, free intro call – directly with a senior consultant, no sales chain. No strings attached – you decide afterwards.
With OpenTelemetry you instrument once, by standard – and afterwards decide freely about your backend. We anchor the standard in your teams: from the semantic conventions through the SDKs to the collector pipeline that steers quality, routing and costs. Your observability grows with every platform decision instead of hanging on it.
// SERVICES
What we do for you with OpenTelemetry
Instrumentation strategy
Which services, which signals, in which order: we plan the OTel rollout so every team knows what to do – and the result stays consistent.
Collector architecture
Agent and gateway topologies, pipelines, processors: we build the collector layer that filters, enriches and routes – your control point for quality and costs. In Kubernetes: the Operator, DaemonSet collectors and eBPF-based auto-instrumentation where SDKs can't reach.
Semantic conventions
Consistent attributes across all services: the unglamorous discipline that later determines whether dashboards are usable, cost attribution is fair and correlation works.
Blind-spot analysis
We uncover the gaps in your telemetry and prioritise closing them. The documented coverage status also holds up in front of internal audit and auditors.
Backend connectivity
LGTM, Datadog, Elastic, Splunk, Dynatrace: we connect your OTel pipeline to the backend of your choice – or to several in parallel, for instance during a migration.
GenAI & agent observability
Making LLM applications and AI agents observable: token costs, latencies, tool-call traces along the OTel GenAI conventions. The conventions are young and still moving – we build your telemetry so that every update is a mapping change, not a rewrite.
// OUR PROCESS
Introduce, extend, optimise OpenTelemetry
Introduction
Instrumentation strategy, SDK selection per language, semantic conventions and a first collector pipeline: we set up OTel so all teams deliver consistent telemetry.
Extension
More signals, more services: rolling out auto-instrumentation, adding logs and metrics, extending the collector topology into a gateway architecture – until your critical paths are covered.
Optimisation
Using the collector as the control point: steering sampling and cardinality, unifying attributes along the semantic conventions, closing blind spots – and reducing telemetry costs before they arise in the backend.
// MIGRATION
From proprietary to open – the standard path
We replace
- AppDynamics, New Relic and Instana agents – language by language, in parallel operation
- Vendor-specific SDKs in your code – replaced by standard APIs
- StatsD and custom metric landscapes that just grew – consolidated into OTel
What you get
- Telemetry that belongs to you – independent of today's or tomorrow's backend
- A control point (the collector) for costs, quality and routing
- Negotiating power: those who can switch negotiate differently
// FAQ
Frequently asked questions about OpenTelemetry
Our fee is tied to your goals: the proposal states measurably what we have to achieve – for OpenTelemetry, for instance, defined trace coverage of your services defined as critical, or the demonstrable closure of the blind spots prioritised up front.
If we miss it, it comes at our expense – noticeably so; you know the terms before the project starts.
Yes. Tracing has been stable for years, the metrics data model now is as well, and all relevant platforms accept OTel natively.
Logs are production-ready too – via the SDKs’ log bridges/appenders or the collector as the aggregation point; which path is more robust per language, we decide per service. The real maturity question is organisational: conventions, governance, rollout discipline. That is exactly where we help.
With clean configuration, small and controllable – in the order of magnitude of established proprietary agents. Exactly how much depends on language, instrumentation depth and sampling; we measure the overhead in your environment instead of promising blanket figures.
A systematic comparison between the telemetry your architecture should deliver and what actually arrives. The result is a prioritised gap list with a closure plan. In our experience, gaps surface on critical paths that nobody notices in day-to-day operations – that is exactly what the analysis is for.
The one that fits your team and budget – the answer differs per client. That is precisely the point: with OTel you no longer make that decision for a decade. We calculate the options vendor-independently as TCO.
Make your telemetry independent
Whether it’s first-time instrumentation, agent replacement or a blind-spot audit: the OpenTelemetry workshop delivers strategy and architecture for instrumentation that is open to any backend. With a success guarantee on the agreed goals.
First step: a short, free intro call – directly with a senior consultant, no sales chain. No strings attached – you decide afterwards.