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An optimization study (or study for short) represents an optimization initiative aimed at optimizing a goal on a target system. A study instructs Akamas about the space to explore and the KPIs used to evaluate whether a con configuration is good or bad
Akamas supports two types of optimizations:
- Live Optimization Studies are applied to systems that need to be optimized in production with respect to varying workloads observed while running live. For example, a microservices application can be optimized live by having Kubernetes and JVM parameters dynamically tuned for multiple microservices so as to minimize costs while matching response time objectives.
A study is described by the following properties
- steps: the steps that are executed to run specific configurations (e.g. the baseline) and run the optimization
The Akamas UI shows optimization studies in 2 specific top-level menus: one for offline optimization studies and another for live optimization studies.