09case study
Observability Pipeline & Release Automation (Mankind Pharma)
March 2025 - July 2025Website
45%observability spend cut
2 minmean time to detect
<10 minBI releases, from 2 hours
Overview
Trimmed cloud observability spend 45% and drove MTTD down to 2 minutes by replacing Azure Application Insights with a self-hosted ELK, Prometheus, and Grafana stack, including custom C# Serilog middleware for the Elastic APM cutover. Accelerated BI releases from 2 hours to under 10 minutes with modular Jenkins declarative pipelines, Apache Superset provisioning, and a custom Python CLI that promotes dashboards with zero standing credentials.
Stack map
The declared stack, sorted into the layers these tools belong to. It assembles as you scroll.
Deliverybuild & release01
Jenkins
Computeruntime02
C#Python
Observabilitysignals06
ELK StackPrometheusGrafanaElastic APMSerilogApache Superset