How to solve data management challenges in a microservices world paid Oracle
Ask any IT leader about the future of enterprise application development, and they’ll likely say “microservices.” Made popular by large web companies, the microservices model is finding its way into many businesses.
This means that the developers must consider all potential needs of other modules as they design their microservices. If a new requirement arises, the microservice that owns information must be updated. Going back to our retail website example, perhaps the product information microservice now is being asked to provide additional information to other requesting microservices, so it must be changed.
With a typical microservices approach, additional time and effort are required to establish an application-wide analytics view, both on the part of the analytics team and the microservices that feed it. PDBs can be independently scaled as needed using techniques such as in-memory and sharding . They can be easily copied and relocated as needed. PDBs also get the full advanced feature set of the Oracle Database. Developers are thus free to do whatever their microservice requires with a much lesser need to coordinate with other developers.
There’s much less need for familiar extract, transform, and loading operations. Much of the heavy lifting can occur in the database itself, close to the data. Developers are free to change things, while the analytics continue to use the previous view until making a change is convenient. The result is better, faster analytics with much less complexity and cost.
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