Observability Foundation case studies
Observability Foundation · Put your knowledge to work in context.
The Observability Foundation℠ credential is offered by DevOps Institute, which is now part of the PeopleCert Group, and is aimed at practitioners and leaders who need to make distributed, cloud-native systems understandable in production. The source describes it as introducing best practices for building full-stack observability toward advancing resilience in a distributed ecosystem, including meaningful traces across temporal topologies, the impact of DevSecOps and AIOps on observability, and a 360-degree view of building mature observability practices. The Observability Foundation case studies are 5 cases and about 3,975 words.
1Alert volume hides the missing 'why' in checkout latency
A payments platform runs 220 services on Kubernetes and has 38 Grafana dashboards, 410 alert rules, and a 99.95% availability SLO. Over the last quarter the on-call team received 46 pages per week; post-incident review classified 31 as actionable and 15 as duplicate or self-resolving.
812 words, about 4 min2OpenTelemetry migration with tail sampling and sensitive attributes
A media company is replacing three proprietary monitoring agents with OpenTelemetry. It runs 300 services across three regions, emits 90 million spans and 1.2 TB of logs per day, and has 6,000 Kubernetes pods.
805 words, about 4 min3Kafka trace gap and clock skew in an order pipeline
An e-commerce order service publishes an OrderPlaced event to Kafka. Five consumer groups process inventory, payment, email, analytics, and fraud.
846 words, about 4 min4Full-stack blind spot: fast API, slow checkout button
A retail bank's mobile web checkout shows a p75 Largest Contentful Paint of 4.8 seconds on 4G, while server-side traces show 180 ms p95 for the checkout API. The front-end team uses Real User Monitoring from 2% of sessions; the backend uses 10% head sampling.
769 words, about 4 min5Packet loss invisible to node and mesh dashboards
A financial services firm runs 4,000 pods on 600 nodes across three Kubernetes clusters. The security team mandates mTLS between all workloads and requires Layer 7 network policy.
743 words, about 4 min