Apache Flink is designed for large-scale real-time data processing and stateful stream processing. In this session we will describe how we knit Flink on Azure as an established platform on azure kubernetes services and tied together storage, security, azure monitoring, data explorer and how we built grounds up a platform to deploy and configure which helps customers to adopt flink at large scale on azure ecosystem. The foray of lake houses become more robust with streaming FileSink expanding to ABFS (Azure Blob Filesystem) and unlocks several opportunities in Azure ecosystem. We will also describe our learnings with Flink Kubernetes operator and job management, which makes customer journeys seamless. We will also cover the roadmap ahead for Flink on Azure.