Rebuild Instead of Fixing It Full lifecycle management for a range of data services is hard; as every data service is different and comes with different edge cases. The automation needs to cover basic developer needs from the beginning and then may mature over time.
Design for Scale Why Scale Matters Automation does not equal automation. Automating the operations of a single microservice-based application system is not trivial but it has nothing to do with the challenge of developing an application platform to serve thousands of customers with ten thousands of applications. The same applies to data service automation: scale… Read more »
Pick Your Data Services Wisely With the full automation of the entire lifecycle of data services as a goal, the choice of data service to automate has a large impact on the resulting challenge. Large enough to make the data service choice a critical success factor. The selection of data services is rarely happening on… Read more »