Data processing is an important part of any web application. Your ability to ingest, process, and act upon data is critical to your go to market strategy. As startups, when planning for data processing, you want an architecture that can seamlessly scale with your application without the overhead of capacity planning as you grow. You also want flexible data processing patterns based on your application needs. With serverless technologies you can choose from real-time processing to asynchronous batch processing, or anything in between. In this session we’ll discuss options for ingesting data and event-driven patterns and services for processing that data.
Structured correctly, containerization is a streamlined way to scale your startup and a cost-efficient meth...
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