Have you ever asked yourself, “How managed is this?” when evaluating a managed service? To understand the total economic impact or total cost of ownership, this is a vital question. Some higher level cloud native services work great for proof of concept (POC) or newer workloads, but can become unstable or a challenge to manage at a higher scale. These “managed” service provided also use proprietary APIs to lock you into their service ecosystem preventing you from running similar systems on prem or in other cloud services.
When considering a managed Apache Kafka service, you need to find something that has next to no operational overhead and can help expedite building out data-in-motion or streaming applications. In this session we will discuss how Apache Kafka has become the de facto standard for event driven architecture, its community support and the scale at which some customers are running it. Additionally, we will discuss how Confluent can make building data-in-motion applications easier than ever with virtually no operational overhead which helps you connect your data from on-prem, the edge, any given cloud region and any other mix that suits your organization’s requirements.