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
| Tool | Description |
|---|---|
| Migration Center to BigQuery Exporter | A tool that lets you export data and insights from Migration Center to BigQuery, where you can perform additional analysis of your infrastructure data. |
| 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 | 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.