Reliable, Real-Time AI with the Ververica Platform + a Kubernetes Operator in a Growing Startup
summary
FinTech Studios runs Flink on the Ververica Platform with a custom Kubernetes Operator that maps Ververica namespaces, deployments and savepoints to native K8s resources; it processes about 1 million documents a day, migrated three Flink jobs in six months, and automates CI/CD with GitLab and Helm upgrade (demo shows upgrade with a savepoint then a manual Helm rollback when a job failed). The operator is open source and preserves multi-version platform compatibility while exposing Kubernetes events and Prometheus monitors.
AI-written summary · about
chapters (3)
related talks
26mKubernetes & real-time analytics: How to connect these worlds with Apache Flink
16mFrom Zero to Production with Ververica Platform
38mA story about platform engineering — Niklas Voss
58mReal-Time ML Applications at Scale with Flink and Beam on Kubernetes and GCP
25mBuilding high performance, AI-native engineering teams
22mBuilding a Kubernetes Operator for Apache Flink in Java
17mGetting Started with Flink for Small Teams w/ RabbitMQ and Kubernetes
56mOpening Keynote
