OpenTelemetry consulting and hands-on support
OpenTelemetry consulting services to standardize tracing, metrics, and logs across your applications and infrastructure. We deliver instrumentation strategy, collector architecture, Kubernetes deployment, pipeline/export configuration, and runbooks so teams can improve reliability, control observability costs, and operate OpenTelemetry confidently at scale.
Last updated
- 4.9/5 on Clutch
- Top 0.7% of DevOps engineers
- Billed by the hour, no lock-in
- Consulting
- Hands-on work
- Architecture
Trusted by teams shipping production infrastructure
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The hard part
Finding great OpenTelemetry help is its own project
Hiring a strong OpenTelemetry engineer, for the hours you actually need, is slow, risky, and expensive. Here is what teams keep running into.
Months wasted hunting for a specialist who actually knows OpenTelemetry.
The wrong hire after weeks of interviews and onboarding.
Full-time cost when the workload is genuinely part-time.
Tech debt compounds while OpenTelemetry sits half-finished between sprints.
The roadmap stalls every time OpenTelemetry work lands on the wrong desk.
From first message to shipped OpenTelemetry work
Starting is light and reversible. You see the plan and meet your engineer before a single hour is billed. Here is the whole path.
- 1
Tell us what you need
A short call to understand your current OpenTelemetry setup, the constraints, and the result you are after.
- 2
We shape the plan
You get a written OpenTelemetry work plan: the approach, the trade-offs, and the first steps, adjusted around your input.
- 3
Meet your engineer
We match you with the senior engineer on our team best suited to your OpenTelemetry work. No hour is billed before this.
- 4
We do the work
Your engineer joins the team, ships the hands-on OpenTelemetry work, and keeps consulting you at every step.
Runs throughout, start to finish
- Shared Slack channelWhere we update and discuss the work, day to day.
- Weekly syncsA standing cadence to review progress, blockers, and the next steps, with a written summary.
- Pay as you goUse as many hours as you need. No retainer, no lock-in.
- Free architect inputAn architect from our team joins the discussions to enrich the plan, at no charge.
A conversation first. You decide whether to go further.
Embedded in your team, not an agency over the wall
Your OpenTelemetry engineer joins your team and your tools and works alongside you, with the rest of ours on call behind them.
- Your engineer
Everything in our OpenTelemetry service
Consulting and hands-on work from the same senior engineer, billed by the hour.
A senior OpenTelemetry expert advising you
We hire 7 engineers out of every 1,000 we vet, so you get the top 0.7% of OpenTelemetry experts.
A custom OpenTelemetry plan that fits your company
A flexible process turns your goals into a custom OpenTelemetry work plan built around your requirements.
You pay only for the hours worked
Use as many hours as you like, zero, a hundred, or a thousand. It is completely flexible.
The same expert does the hands-on OpenTelemetry work
Our OpenTelemetry service goes past advice: the person consulting you joins your team and does the hands-on work.
Perspective from many OpenTelemetry setups
Our experts have worked with many companies and seen plenty of OpenTelemetry setups, so they bring real perspective on yours.
An architect's input on the OpenTelemetry decisions
On top of your OpenTelemetry expert, an architect from our team joins the discussions to enrich the plan.
Teams that stopped firefighting
The same senior engineers, on real production work. A recent study, and what clients say once the dust settles.
Import multiple high-scale Kubernetes Clusters into Pulumi
How we organized infrastructure management of a high-scale system in the cloud by utilizing Pulumi and standardizing environment creation
- Pulumi
- Kubernetes
- TypeScript
Thanks to MeteorOps, infrastructure changes have been completed without any errors. They provide excellent ideas, manage tasks efficiently, and deliver on time. They communicate through virtual meetings, email, and a messaging app. Overall, their experience in Kubernetes and AWS is impressive.
Good consultants execute on task and deliver as planned. Better consultants overdeliver on their tasks. Great consultants become full technology partners and provide expertise beyond their scope. I am happy to call MeteorOps my technology partners as they overdelivered, provide high-level expertise and I recommend their services as a very happy customer.
Tell us about your OpenTelemetry project
A couple of lines is enough. We come back with a quick read on the work, a rough shape of the plan, and the senior engineer who fits.
- A senior engineer reads it, not a sales rep
- We reply within a few hours
- Billed by the hour if you go ahead, no lock-in
A bit about OpenTelemetry
Things you need to know about OpenTelemetry before choosing a consulting partner.
What is OpenTelemetry?
OpenTelemetry is an open-source, vendor-neutral standard for generating and exporting telemetry—distributed traces, metrics, and logs—so teams can observe and troubleshoot modern, distributed applications consistently. It is widely used by platform, SRE, and development teams to instrument services once and send data to the observability backend of their choice, reducing lock-in and improving portability across cloud and on-prem environments.
OpenTelemetry typically runs inside application code via language SDKs and alongside infrastructure via the OpenTelemetry Collector, which can be deployed on VMs or Kubernetes to receive, process, and route telemetry to tools such as Prometheus or commercial platforms.
- Single set of APIs and SDKs for traces, metrics, and logs
- Collector-based pipelines for batching, filtering, and exporting telemetry
- Auto-instrumentation options for common frameworks and runtimes
- Context propagation support to correlate requests across services
Why use OpenTelemetry?
Why get our help with OpenTelemetry?
Our experience with OpenTelemetry has helped us build practical knowledge, repeatable rollout patterns, and deployment tooling that make it easier for clients to standardize traces, metrics, and logs across teams, environments, and services.
Some of the things we did include:
- Rolled out OpenTelemetry end-to-end across Kubernetes and cloud workloads, including consistent service naming, resource attribution, and environment tagging for reliable cross-team dashboards.
- Designed and operated OpenTelemetry Collector architectures (agent + gateway) with high availability, backpressure controls, and safe failure modes to protect production services during telemetry spikes.
- Implemented zero-downtime migrations from proprietary APM agents to OpenTelemetry, keeping alerting stable while reducing vendor lock-in and ongoing licensing costs.
- Integrated OpenTelemetry metrics pipelines with Prometheus and visualization workflows in Grafana, aligning labels, exemplars, and alert rules with trace context.
- Connected traces and logs through context propagation and log enrichment so teams could reliably “click from error log to trace” during incident triage.
- Instrumented critical services using SDKs and auto-instrumentation, then validated semantic conventions and span attributes to keep telemetry consistent and useful across domains.
- Implemented tail-based sampling, routing, and filtering rules to retain high-value traces (errors, latency outliers, key endpoints) while controlling ingestion and storage costs.
- Hardened telemetry pipelines with TLS, authentication, and network policies, applying least-privilege access patterns for collectors running in shared clusters.
- Automated Collector and instrumentation configuration using GitOps and CI/CD, including version pinning, safe rollouts, and environment-specific overrides.
- Trained DevOps and SRE teams on reading traces, building actionable alerts, and using OpenTelemetry data to reduce MTTR during real production incidents.
This experience helped us accumulate significant knowledge across multiple OpenTelemetry use-cases—from initial instrumentation to scalable collector operations—and enables us to deliver reliable, maintainable OpenTelemetry setups that teams can run confidently long after the engagement.
How can we help you with OpenTelemetry?
Some of the things we can help you do with OpenTelemetry include:
- Run an observability assessment and deliver a gap report covering instrumentation coverage, data quality, and back-end readiness.
- Create an OpenTelemetry adoption roadmap (phased rollout, service priorities, and success metrics) aligned to your SRE and platform goals.
- Implement and standardize instrumentation for traces, metrics, and logs across key services using consistent naming, attributes, and semantic conventions.
- Design and deploy a scalable OpenTelemetry Collector architecture (agent vs gateway) for Kubernetes and cloud workloads, automated with IaC and GitOps.
- Establish security and compliance guardrails—PII redaction, attribute allow/deny lists, mTLS, and least-privilege access for telemetry pipelines.
- Optimize cost and performance with sampling strategies, metric aggregation, log filtering, and retention policies to control ingestion and storage.
- Improve reliability and MTTR by correlating golden signals with traces and logs, and tuning alerting to reduce noise and speed up triage.
- Migrate from legacy APM agents to OpenTelemetry with a low-risk, parallel-run approach and clear rollback procedures.
- Enable Dev, SRE, and platform teams with playbooks, dashboards, and hands-on training so they can operate and extend the solution independently.
Keep exploring
Explore more technologies
Other tools and platforms our engineers work with, alongside OpenTelemetry.
VagrantProvisions reproducible VM-based development environments, reducing onboarding time and configuration drift
Amazon CloudWatchMonitors AWS applications and infrastructure using metrics and logs to improve reliability
TerraformProvisions cloud and SaaS infrastructure as code for consistent, auditable changes
PodmanRuns daemonless containers with rootless security for reliable development and production workflows
KEDAAuto-scales Kubernetes workloads based on events and metrics.
NagiosMonitors infrastructure and applications, alerting early to prevent downtime
