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Dissatisfaction with their storage solution or technical support often boils down to an inability to meet performance or availability SLAs, and a move to a system that can validate their ability to meet these requirements, based on both their technology and customer testimonials, can present a strong case.
It involves a lot of automation and is usually accompanied by a change in systemarchitecture, organizational structure, and incentives (more on that later). That’s when newly minted internet companies tried to grow systems many times larger than any enterprise could manage.
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”. OLTP systems are usually application specific.
With event-first design, the data becomes the API which, like any production system, needs to support change and evolution (i.e., Furthermore, in embracing loose coupling, we inherit a clean separation of concerns (SoC) , which provides the ability to develop and operate various aspects of the systemarchitecture independently.
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