Real time insights for better products, CX & resilient platform
summary
A banking platform delivers near‑real‑time business and tech insights by ingesting logs, Prometheus metrics and transactional records into a cloud data lake (bronze/silver/gold), running stream processing + ELT, and exposing results via APIs, ODS and warehouses; monitoring uses Grafana and EFK. The solution treats domains as data products/data mesh, makes security and quality self-service configurable, and claims to onboard new products in 2–3 days while improving anomaly detection, discoverability and stakeholder self‑service.
AI-written summary · about
chapters (15)
- 0:00Introduction
- 0:25Balvinder Sushant Introduction
- 1:40Business Dashboard
- 2:57Customer Experience
- 5:54Customer Insights
- 14:31How does it happen
- 15:47What we talk about
- 17:11What were the challenges we faced
- 19:19Technical Architecture
- 24:11Security
- 25:24Domain Driven Data Boundaries
- 27:28Data Mesh
- 28:41What next
- 30:14Impact learnings
- 32:01Data as a first class citizen
related talks
24mBanking Observability at Scale
07mTransforming Big Data into Real-Time Product Insights
46mObservability in digital transformation
31mUsing Telemetry in Cloud Native Applications
41mCustomer Centric Observability at Scale Leveraging AIOps & OpenTelemetry
28mScaling Observability for Real-Time Personalization Engines
33mData: The Land DevOps Forgot
56mFull-stack observability and application monitoring with