OpenTelemetry Consulting

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

• Provides real-time visibility into system performance and health, enabling proactive issue resolution.
• Alerts to potential problems before they escalate, reducing downtime and improving service reliability.
• Tracks and analyzes key performance indicators (KPIs), aiding in informed decision-making.
• Enhances security by detecting unusual activities or breaches, allowing for immediate response.
• Facilitates resource optimization by identifying underutilized or overburdened assets.
• Supports compliance efforts by maintaining logs and records of system activities.
• Enables a data-driven approach to IT management, improving overall operational efficiency.
  

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.

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.