Observability - Holistic Quality across Software Systems
summary
Walks through building observability as a quality practice using Datadog dashboards, a company training, and a recurring monthly infra ops meeting that documents month‑over‑month health, cleans noisy alerts, and ties API performance to real user flows; reports adoption rates of 95% metrics 87% logs 57% traces and notes traces are least used; shows incremental rollout over months, concrete alert reductions and dashboard changes that improve incident debugging and cross‑team collaboration.
AI-written summary · about
chapters (8)
- 0:00Welcome
- 2:12What is observability
- 8:36Logs metrics and traces
- 15:56Testers leading observability
- 20:29Observability implementation example
- 32:25Challenges in observability
- 35:19Answering audience questions on observability
- 45:35Closing and contact information
related talks
35mObservability: Building Confidence & Answering the What, Where, How
39mThe 5W’s of Observability with Practical Examples
42mObservability can help you understand change
29mObservability; a gentle introduction
26mObservability: One of the Strongest Muscles for DevOps
33mEffective observability in microservice architectures
25mBeyond Dashboards: Cultivating the Observability Mindset
31mObservability for Developers: How to Get There
