Each team instruments differently and signals cannot be compared.
OpenTelemetry consulting for end-to-end service visibility
We design and implement OpenTelemetry where it adds value: instrumentation, collectors, pipelines, OpenLLMetry for AI/LLM workloads and correlation with Elastic, Dynatrace or Grafana.
- OTel
- Open standard
- M/L/T
- Metrics, logs and traces
- OpenLLMetry
- Observable AI and LLMs
When it fits
When OpenTelemetry needs structure
OpenTelemetry should not become another source of noise. It should help teams understand transactions, dependencies and errors with a maintainable model.
Collectors exist, but sampling, enrichment and export criteria are unclear.
Traces do not connect with logs, metrics, SLOs, AI workloads or business priorities.
There is concern about depending too much on one vendor and losing portability.
What we deliver
Signal model
Conventions, attributes, ownership and criteria so telemetry can be compared.
OTel architecture
Collectors, pipelines, exporters and validation with the backends you already use.
Prioritized instrumentation
Critical services first, with useful traces, metrics that support SLIs/SLOs and AI signals when relevant.
OpenLLMetry for AI
Observability for assistants, pipelines and LLM calls: latency, errors, cost, dependencies and operational quality.
Adoption guide
Practices so development, platform and SRE teams can evolve the model independently.
How we work
-
Discover
We review architecture, libraries, runtime, collectors and current signals.
-
Design
We define naming, attributes, sampling and export routes.
-
Implement
We instrument priority services, AI workloads when present and validate end-to-end correlation.
-
Adopt
We document criteria, ownership and next services to onboard.
You may also need
OpenTelemetry FAQ
Do you work with a particular stack?
No. We are not tied to one tool. We start from your current stack, contracts and maturity, and propose what is most maintainable for your context.
Does OpenTelemetry replace your observability platform?
Not necessarily. OpenTelemetry is usually the open instrumentation and transport layer; the backends you already use can remain where you analyse signals.
Do we need to instrument everything first?
No. It is usually better to start with critical journeys or services and expand with clear criteria.
Can you help with collectors and pipelines?
Yes. We design collectors, processors, exporters, filters, enrichment and signal validation.
Does this also cover AI observability?
Yes. When there are assistants, models or AI pipelines, we include OpenLLMetry to measure latency, errors, cost, dependencies and operational behavior.
Let's discuss your OpenTelemetry adoption
We review services, collectors, current backends and quick improvement opportunities.
Review OTel adoption