DS-Watch

WHY ORGANIZATIONS NEED A UNIFIED VIEW OF DATA STORES

Data management has become increasingly complex: data stores are growing, costs are rising, and regulations such as DORA require higher levels of transparency and control.

At the same time, the information needed to understand how data stores are used is often fragmented—spread across different tools, disconnected metrics and partial views.

Answering critical questions becomes difficult, such as:

Which data stores impact application performance?
How consistent are processes from an audit and compliance perspective?
Which data stores are outdated or underused?

DS-Watch (DataStore-Watch) was created to meet these specific needs.

DS-WATCH: ONE SOLUTION, MULTIPLE CAPABILITIES

DS-Watch is the latest solution within the RES Suite, designed to provide a clear, integrated and observable view of enterprise data store usage.

It analyzes each data store across its full scope:

At rest → structure, allocation, used space
In motion → access patterns, I/O activity, response times, relationships with batch processes and transactional components

The result is a single analytical environment that brings together infrastructure, application and performance perspectives.

For the first time, data stores, storage and applications operate within a shared, consistent framework.

LODS (Life of Data Stores) and DORA

The LODS functionality enables the analysis of how each data store is used over time, providing key insights for effective data governance:

who accesses which data stores, and how frequently
which processes rely on outdated or redundant data stores
how to optimize backup and recovery strategies
where potential risks or compliance inconsistencies may arise

DS-Watch is a powerful tool for rationalizing, streamlining, optimizing and governing the entire data ecosystem, providing concrete support for DORA compliance.

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UNDERSTANDING DS-WATCH: THREE DOMAINS OF ANALYSIS

DS-Watch organizes information across three main views, fully integrated with each other:

Infrastructure: capacity, volumes, Storage Groups, allocation and actual disk space usage
Applications: relationships between data stores, batch jobs, transactional components and application contexts
Performance: KPIs on access patterns, I/O activity, response times and system impact

An intuitive navigation model allows users to drill down to a single dataset or table, while always maintaining the full application and infrastructure context.