The shift to stream processing at LinkedIn has accelerated over the past few years. We now have over 200 Samza applications in production processing more than 260B events per day. Many of these are new applications, but there have also been more migrations from existing online and offline applications. To support the influx of new use cases, we have improved the flexibility, efficiency and reliability of Apache Samza. In this talk, we will take a brief look at the broader streaming ecosystem at LinkedIn, then we will zoom in on a few representative use cases and explain how they are powered by recent advancements to Apache Samza including a unified high level API, flexible deployment model, batch processing, and more.