Ingest streaming time-series data from Apache Kafka into QuestDB using ILP with the Kafka Sink Connector
How to Create a Failover Client using the Hazelcast Viridian Serverless
Learn to update a Java client to automatically connect to a secondary, failover cluster if it cannot connect to its original, primary cluster.
Billion Events Per Second with Millisecond Latency: Streaming Analytics at Giga-Scale
We’re preparing a scientific paper on Hazelcast Jet, describing its architecture based on symmetric, data-local, non-blocking distributed event processing. As a part of this effort, we implemented the vendor-neutral NEXMark benchmark suite, consisting of 8 streaming queries that aim to capture typical kinds of questions you’re likely to ask about your real-time data.
The queries deal with a domain model of auctions, sellers, and bids. For example, Query 5 asks: “Which auctions have achieved the highest price in the last period?”