2 years ago

Category: Software, Business, Database, Data, Kubernetes, Infrastructure, artificial-intelligence

We now see users discussing the ability to extend data sources to applications and users across the spectrum as “edge computing.” Edge computing helps businesses become more proactive and dynamic by placing applications and processing power closer to the devices and sensors that create or consume data, enabling them to gather, analyze and turn large dataflows into actionable insights, faster.

In particular, PostgreSQL, Apache Kafka and open source data change capture software Debezium can be deployed using Kubernetes Operators on Kubernetes to provide a cloud native data analytical solution that be can be used for a variety of use cases and across hybrid cloud environments — including data center, public cloud infrastructure, and the edge. One powerful application of the potential for cloud native data analytics services built from PostgreSQL and Kubernetes is spatial data analysis of connected vehicles.

That said, in order to benefit from the rich analytic capability of Postgres for Edge applications, it is necessary to bring the data from the edge to PostgreSQL.