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Observability Baseline

Production-grade OpenTelemetry observability deployed in days, not months.

A turnkey observability stack built on OpenTelemetry that delivers correlated traces, metrics and logs from day one. Pre-packaged with service-level objective definitions, alert policies and runbook templates, it gives platform teams a production-ready baseline they can extend rather than build from scratch.

provenAvailable

Key Features

OpenTelemetry Instrumentation Kit

Language-specific auto-instrumentation packages and manual-span helpers for Java, Python, TypeScript and Go, with consistent attribute naming conventions and sampling policies.

SLO and Alert Policy Library

Pre-defined service-level objectives for common patterns such as API gateways, message consumers and batch processors, with multi-window burn-rate alerts ready to deploy.

Golden-Signal Dashboards

Grafana dashboard pack covering latency, traffic, errors and saturation at service, cluster and platform level, with drill-through to distributed traces.

Log Correlation and Structured Logging Standards

Structured logging configuration that embeds trace and span identifiers into every log line, enabling seamless pivot from log search to trace waterfall.

Use Cases

Observability foundation for a greenfield digital bank

Banking

Deployed the full baseline across 40 microservices on GKE within two weeks, giving SRE and development teams correlated observability from the first production release.

Migrating from proprietary APM to OpenTelemetry

Insurance

Replaced a costly Dynatrace deployment with the OpenTelemetry baseline and Grafana Cloud, reducing annual observability spend by 55 percent while improving trace coverage.

Incident response improvement for a payments processor

Payments

Reduced mean time to detection from 12 minutes to under 90 seconds by deploying burn-rate SLO alerts and golden-signal dashboards across critical payment flows.

Technical Stack

OpenTelemetry CollectorGrafana / Grafana CloudPrometheusLokiTempoTerraform / Helm

Deliverables

  • →
    OpenTelemetry Collector and agent configuration(Helm charts and Terraform modules)
  • →
    Instrumentation libraries and coding standards(Language-specific packages and documentation)
  • →
    Dashboard and alert-policy pack(Grafana provisioning bundle)
  • →
    SLO definitions and runbook templates(YAML definitions and Markdown runbooks)

Expected Programme Outcomes

Time

4–6 weeks

saved on observability stack setup

Time

60–80%

faster mean-time-to-diagnosis

Risk & Compliance

45–60%

fewer undetected service degradations

Cost

3–5 months

of observability rework avoided

Cost

70–80%

faster incident-response decisions

Prerequisites

  • →Kubernetes-based or container-based workload environment
  • →Grafana Cloud subscription or self-hosted Grafana stack
  • →Network egress permitted from workloads to the telemetry backend

Proven in

Case studies that used this accelerator.

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