Observability in digital transformation
summary
A mid‑market finance rollout builds a low-cost observable aggregator that preserves source systems while offering a single pane of glass, ingesting event streams via a service bus and using Azure Kubernetes Service, Azure Log Analytics and Application Insights with Grafana dashboards for real‑time queries. The platform shifts teams to event‑driven microservices, validates SLOs, surfaces adoption and incident trends (incidents trend down as platform usage rises) and enables FinOps tradeoffs; success depends on canonical KPIs mapped to an eight‑layer observability model.
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chapters (21)
- 0:00Intro
- 0:23Observability in Digital Transformation
- 0:34Discussion Outline
- 2:28Audience Takeaways What should you expect from this talk? Aggregated system observability as applied to digital transformation
- 5:43Evolution of Mindset in Transformation
- 7:53Observability in Transformation
- 9:31Observability - Extending the Traditional
- 11:31Generating transformational observabilit What is it?
- 14:02Case Study Setup Mid-bed organization in Financial Services Domain
- 15:45Build vs Buy Decision Considerations on the platform approach
- 17:22Key ADRs Architectural decisions and tradeoffs
- 20:12Sustaining investments in observability Set a model for the future of development in the organization
- 23:11Key components of an Observability Platform
- 24:19Case Study: Technical Challenges and Solutions
- 27:21Architectural Effectiveness
- 27:57Delivery Velocity
- 28:17Operational Efficiency
- 29:11Customer Experience
- 30:20Challenges & Approaches How aggregated Observability can help?
- 35:02Canonical KPIs - Measuring Success What to look for as you transform with observability?
- 40:06Summary & Conclusions
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