Enterprise Observability
Own your telemetry instead of renting it
Every trace your proprietary agent emits deepens the lock-in you will pay for at renewal. We put OpenTelemetry underneath your observability estate — one open instrumentation standard your code owns, feeding whichever backend earns its place this year.
- Open standard, CNCF-governed
- Coexists with AppDynamics & Datadog
- Vendor-neutral by charter
The problems this solves
What proprietary-only instrumentation really costs
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Every renewal is negotiated from weakness
When your telemetry is generated by one vendor's agents, leaving that vendor means re-instrumenting the estate. They know it, their pricing reflects it, and your negotiating position shrinks every year.
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Modern stacks outrun proprietary agents
New languages, frameworks and runtimes wait on a vendor roadmap for coverage. The community-maintained OpenTelemetry ecosystem usually gets there first — and your newest services are precisely the ones running dark.
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Every team instruments its own way
Without a shared semantic standard, traces break at team boundaries, the same attribute has five names, and cross-service investigation turns into translation work.
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Two platforms means instrumenting everything twice
Enterprises running more than one observability vendor pay the agent tax per platform — duplicate deployment effort, duplicate overhead, duplicate upgrade cycles.
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Fear of a big-bang cutover freezes the estate
Teams know the lock-in is growing but see migration as an all-or-nothing rewrite, so nothing moves — and the problem compounds with every new service.
The shift
From rented instrumentation to an owned foundation
The backends can stay. What changes is who owns the layer that feeds them.
- Telemetry generated by agents you license, not code you own
- Switching vendors means re-instrumenting every service
- New frameworks wait on a vendor's support roadmap
- Per-team conventions that fracture cross-service traces
- Data volume and cost decided by agent defaults
- OTLP emitted from your services, portable by default
- Backends swap behind the collector without touching code
- Community instrumentation for the newest runtimes
- One semantic convention enforced estate-wide
- Sampling and routing governed in your pipeline
Services included
What the engagement covers
Instrumentation Strategy
A prioritized adoption plan across services, languages and frameworks — where OpenTelemetry leads first and why.
Migration Planning
A structured, service-by-service path off proprietary-only agent stacks — parity validated before anything is retired.
Distributed Tracing
End-to-end trace context propagation across services, queues and asynchronous workflows.
Collector & Pipeline Architecture
Collector topology, sampling and processing pipelines sized for enterprise telemetry volume.
Coexistence with Commercial APM
OpenTelemetry running alongside AppDynamics, Datadog or other platforms without duplicate effort.
Rollout & Validation
Phased rollout with validation so trace and metric quality holds up under production load.
Why it matters
What an open foundation buys the business
Outcome statements describe engagement goals; measured results depend on your environment and are baselined during assessment.
How we work
Adoption without a big-bang cutover
Discover
Estate, agents, lock-in exposure
Assess
Coverage & readiness per stack
Design
Collector topology & standards
Instrument
SDKs & auto-instrumentation
Validate
Signal parity under load
Enable
Standards & team handover
Platform coverage
Where this engagement operates
Deliverables
What you hold at the end
- Instrumentation strategy & roadmapService-by-service adoption sequence with rationale
- Collector & pipeline architectureTopology, processing and routing design, documented
- Semantic convention standards packNaming, attributes and context rules every team inherits
- Migration & coexistence planParallel-run and cutover criteria per platform
- Pilot services instrumentedWorking OTLP telemetry from representative workloads
- Sampling & volume strategyCost-governed pipeline policy with rationale
- Validation reportSignal-quality evidence versus the incumbent agents
- Enablement sessionsStructured handover so your teams own the standard
Industry applications
Where owned telemetry pays fastest
- BankingPortability under regulation
- Financial ServicesTracing across trading flows
- Retail & EcommerceFast-moving service estates
- HealthcareLong-lived system visibility
- TelecomHigh-volume telemetry control
- ManufacturingHybrid & edge workloads
Related
Adjacent capabilities
Questions CIOs ask
Before you commit budget
Do we have to replace AppDynamics or Datadog to adopt OpenTelemetry?
No — coexistence is the default model, not the fallback. Most major platforms ingest OpenTelemetry natively, so open instrumentation can feed the backends you already run. We typically set OpenTelemetry as the standard for new workloads first, which caps future lock-in while working agents stay in place until there is a business reason to migrate them.
Is OpenTelemetry mature enough for enterprise production use?
For traces and metrics, yes — the specification is stable, the collector is battle-tested at high volume, and every major observability vendor accepts OTLP. Maturity does vary by language and signal, which is exactly why the engagement starts with an assessment of your specific stack rather than a blanket recommendation.
How do you migrate off proprietary agents without a monitoring gap?
By running both in parallel. We instrument a service with OpenTelemetry alongside its existing agent, validate that trace and metric quality matches or exceeds what you had, and only then retire the proprietary agent — service by service, never as a big-bang cutover.
Is OpenTelemetry only about tracing, or does it cover metrics and logs too?
All three signals. Tracing and metrics are the most mature; logging support is newer and advancing quickly. We design a per-signal adoption posture — where OpenTelemetry leads today, where it coexists with current tooling, and when to revisit — instead of forcing one answer across the estate.
How long does an OpenTelemetry adoption take?
A pilot — collector architecture plus two or three instrumented services with validated telemetry — typically lands in four to eight weeks. Estate-wide rollout is phased from there, usually standards-first for new workloads while existing services migrate on their own release cadence.
Who maintains the instrumentation after the engagement?
Your teams — deliberately. The engagement hands over semantic-convention standards, onboarding guides and enablement sessions so instrumentation becomes part of how services are built, not a consultant dependency. Managed pipeline administration is available where teams want ongoing support.
Instrument once. Choose vendors forever after.
An assessment maps your agent estate, scores lock-in exposure and sequences a migration you can run without a monitoring gap — with or without us.