Intelligent Data Service Management

Enterprises use multi-vendor storage, multi-platform and multi cloud environments for IT workloads and data services. The metrics data from all these systems play a vital role in managing the data services and various run time actions for performance, reliability, availability and more. Usually SRM tools/like are used to manage this. However with the upsurge of data being collected and dynamics of the infrastructure maintenance, need of the hour is to make intelligent decisions based on the collected data; that too runtime! This is challenging. However, autonomous data management platforms like OpenSDS along with AI/ML can provide solutions. OpenSDS design can support integrations with SNIA Swordfish and similar specifications to accomplish better standardized data management platform. The session will cover the need of metric data analysis, advantages, challenges and possible solutions for efficient data service management. It will also cover how these data can be used efficiently for data service management like migration, anomaly detection, storage tier definition, data life cycle management, multi cloud management etc.

 

Learning Outcomes

a. Understand need of metric data analysis, advantages, challenges and possible solutions for efficient data service management. 

 

b. Understand solutions through open source data management tools like Open SDS.