OpenTelemetry Consulting

OpenTelemetry is an open‑source, vendor‑neutral standard from the CNCF that lets you instrument, collect, and export distributed traces, metrics, and logs from your applications and infrastructure through a single, unified API and SDK—making end‑to‑end observability consistent and portable across any stack or backend.

• 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 up practical knowledge, repeatable patterns, and deployment tooling that make it easier for clients to standardize tracing, metrics, and logs across teams and environments.

Some of the things we did include:

• Rolled out OpenTelemetry end-to-end across Kubernetes and cloud workloads, including Collector deployments, resource attribution, and consistent service naming conventions.
• Designed Collector architectures (agent + gateway) with high availability, backpressure handling, and safe failure modes to protect production services during telemetry spikes.
• Implemented zero-downtime migrations from proprietary APM agents to OpenTelemetry, keeping dashboards and alerting stable while reducing licensing and vendor lock-in.
• Integrated OpenTelemetry pipelines with Prometheus for metrics and Grafana for visualization, aligning labels, exemplars, and alert rules with trace context.
• Connected traces and logs via context propagation and log enrichment, improving incident triage by making “click from error log to trace” workflows reliable.
• Instrumented critical services using SDKs and auto-instrumentation, then validated semantic conventions and span attributes to ensure data stayed useful across teams.
• Built tail-based sampling and routing rules to keep high-value traces (errors, high-latency, key endpoints) while controlling ingestion and storage costs.
• Hardened telemetry pipelines with TLS, auth, and network policies, and applied least-privilege access patterns for collectors running in shared clusters.
• Automated deployments and configuration using GitOps and CI/CD, including version pinning, safe rollouts, and environment-specific overrides.
• Trained DevOps and SRE teams on reading traces, creating 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.

• Deploy OpenTelemetry across your cloud or Kubernetes stack in days, drawing on our many real‑world rollouts
• Move you off pricey APM licenses with a zero‑downtime migration path we’ve proven repeatedly
• Expose hidden latency and error hot‑spots fast, shrinking your MTTR from hours to minutes
• Tune sampling and aggregation to slash telemetry storage costs by 50 % or more
• Keep you future‑proof: we contribute to the OTel project and know incoming changes early
• Upskill your Dev & SRE teams so they can run with the data long after we’re done