For Software Engineers, DevOps, Data Architects, and IT Leaders
The progression to modern application stacks and microservices architectures has resulted in orders of magnitude more logs, metrics, events, and traces. Like gravity, data attracts more data, making it increasingly difficult to move and process as it accumulates over time. More than ever, there is a need to be able to stream-process, filter, mask, transform, aggregate, analyze, and route that data to various data tier destinations optimized for specific usage.
toolbox with information and programs for Computer Aided Innovation
The scientific background of Skidbladnir is known as the Theory of Inventive Problem Solving; in English abbreviated as TIPS or TRIZ, in German as TRIS.