Ongoing discovery and dependency mapping is important to continuously calibrate your infrastructure data to workload mapping, cross-workload dependencies, and other workload-specific attributes such as performance and availability baselines. This enables improved decision making on migration grouping and prioritization, and optimization of landing zones.
The following tables list some common tools that you might use for the discovery and assessment of your enterprise workloads.
Google Cloud tools
|StratoZone||Google Cloud native tool that delivers a comprehensive assessment to
help you migrate your infrastructure to Google Cloud. With the
StratoProbe data collector, you can automatically discover and scan
your servers into the StratoZone portal. Alternatively, you can
import other sources of data, such as RVTools,
directly into the StratoZone portal for a 1:1 cost comparison.
The StratoZone assessment provides you with actionable insights based on the configuration, utilization, network-dependencies, and installed applications, for each server.
|Fit assessment tool||A tool within Migrate to Containers that runs on a VM workload
to determine the workload's fit for migration to a container.
The fit assessment tool provides you with technical fit assessments of your workloads to help you determine the potential of modernization, and to inform you if there are any technical blockers to modernization.
|Migvisor||A cloud database migration assessment product by EPAM that helps companies analyze database workloads and generate a visual cloud migration roadmap that identifies potential quick wins and areas of challenge.|
|Oracle to BMS Migration Assessment||Oracle Database assessment offers Google's Oracle migration experts
accumulated experience that is totally automated and is designed to
be a single assessment tool for the entire customer life cycle engagement.
Note: This is an open source tool that is not supported by Google.
Third-party tools commonly used for discovery and assessment include the following: