Aerospike announces the release of the Aerospike Kubernetes Operator, giving you the ability to deploy multi-node clusters, recover automatically from node failures, scale up or down automatically as load changes, ensure nodes are evenly split across racks or zones, automatically update to new versions of Aerospike and manage other configuration changes in your clusters.
In this post we’ll review the challenges of traditional data architectures, and introduce a number of examples of how you can implement several caching strategies and use cases with Aerospike.
In 1980 if someone passed a billboard, you didn’t know if the advertisement worked or not. Jump forward 40 years, and now digital advertising can be very precise, and that is great news for most businesses.
To make good decisions you need good data. But it’s not enough to have data — it needs to be data that you can get and process in real-time that is most valuable for today’s digital apps and services.
Modern data architectures don’t work in isolation. They are made up of multiple technologies each serving a different purpose in the data ecosystem. Apache Kafka® fits naturally as a messaging layer for real-time streaming data pipelines to reliably get data between many independent systems or applications.