What Is Complex Event Processing?
SigmaStream and Hazelcast Helps the Energy Industries Save Millions
Stream processing is the new critical application for today’s always-on, always available digital ecosystem. While stream processing can cover a wide range of applications (healthcare, IoT, payment processing, etc.), Hazelcast’s stream processing engine - Jet - has had an interesting and unusual deployment in the oil and gas drilling domain, with spectacular results.
Accelerating Microservices with Streaming Technologies
The use of streaming technologies in microservices is an emerging trend that you should consider. And combining streaming with in-memory technologies lets you deploy and run your systems faster.
A Reference Guide to Stream Processing
This paper is intended for software architects and developers who are planning or building system utilizing stream processing, fast batch processing, data processing microservices or distributed java.util.stream.While quite simple and robust, the batching approach clearly introduces a large latency between gathering the data and being ready to act upon it. The goal of stream processing is to overcome this latency. It processes the live, raw data immediately as it arrives and meets the challenges of incremental processing, scalability and fault tolerance.