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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.
A tool that lets you export data and insights from
Migration Center to BigQuery, where you can perform
additional analysis of your infrastructure data.
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.
A tool that 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 lifecycle engagement.
Note: This is an open source tool that is not
supported by Google.
Third-party tools
Third-party tools commonly used for discovery and assessment include
the following:
CAST Software
Static code analysis tool for deep technical fit analysis of applications
readiness to run on Google Cloud. It helps in application modernization
decisions and change management.
Matilda Cloud: Tool for automatic agentless
discovery of applications topology, and their supporting software and
hardware infrastructure. It helps in application modernization and in
migration to the cloud.
Txture: Tool for IT infrastructure mapping,
including detailed application topology mapping. Valuable in
infrastructure modernization projects with ability to include data
from multiple sources.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-29 UTC."],[],[],null,["# Additional discovery and assessment tools\n\nOngoing discovery and dependency mapping is important to continuously calibrate\nyour infrastructure data to workload mapping, cross-workload\ndependencies, and other workload-specific attributes such as performance and\navailability baselines. This enables improved decision making on migration\ngrouping and prioritization, and optimization of landing zones.\n\nThe following tables list some common tools that you might use for the\ndiscovery and assessment of your enterprise workloads.\n\nGoogle Cloud tools\n------------------\n\nThird-party tools\n-----------------\n\nThird-party tools commonly used for discovery and assessment include\nthe following:\n\n- [CAST Software](https://www.castsoftware.com/) Static code analysis tool for deep technical fit analysis of applications readiness to run on Google Cloud. It helps in application modernization decisions and change management.\n- [Matilda Cloud](https://www.matildacloud.com/): Tool for automatic agentless discovery of applications topology, and their supporting software and hardware infrastructure. It helps in application modernization and in migration to the cloud.\n- [Txture](https://txture.io/en): Tool for IT infrastructure mapping, including detailed application topology mapping. Valuable in infrastructure modernization projects with ability to include data from multiple sources."]]
