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Journey to Event Driven – Part 4: Four Pillars of Event Streaming Microservices

Confluent

Storing events in a stream and connecting streams via stream processors provide a generic, data-centric, distributed application runtime that you can use to build ETL, event streaming applications, applications for recording metrics and anything else that has a real-time data requirement. Building the KPay payment system.

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The Case for PostgreSQL®

Instaclustr

These systems include data warehousing, reporting, operational data storage, single source of truth systems, extract transform load (ETL) systems, application support systems, and much more. Operational Data Storage (ODS) also called a “single source of truth”.

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Grown-Up Lean

LeanEssays

It took some years to evolve to a software architecture that supported such teams, but eventually small, independent services owned by two-pizza teams made up the core of Amazon’s infrastructure. Initially this created havoc in operations, which was responsible for any problems that surfaced once code ‘went live’.