QA Vector Research
Whether it’s migrating to the cloud, or optimizing after a lift-and-shift, the first necessary step is assessing cloud maturity. Given the complexities and scale involved, even skilled architects can need months to chart the best path forward for cloud-native and PaaS environments. As timelines extend, leadership’s frustration rises.
Within minutes of activation, CAST identifies the source code patterns that will speed up or slow down optimization for top cloud PaaS environments. Analyzing hundreds of applications, CAST pinpoints the changes needed and quantifies the effort required to execute them. Roadmaps are immediately built based on these cloud maturity factors and, critically, their business context. Software owners are freed to capture cloud value at unprecedented rates.
Jens Ewelt
Head of Cloud Services, VW Financial Services
Automatically build roadmaps based on empirical data. Segment and prioritize applications into categories such as Rehost, Refactor, Rearchitect, Rebuild, and Retire.
Effortlessly identify and address code issues for cloud optimization, including persistent files and COM components. See how to leverage boosters like web configuration files and MySQL.
Discover source code issues preventing the adoption of containers. Immediately identify how to address them.
Get recommendations for specific native services on Azure, AWS, Google Cloud, IBM Cloud, and Oracle Cloud. See the services each application can utilize to reduce consumption post-migration.
Automatically build roadmaps for moving from vSphere or Tanzu to ideal cloud-based alternatives.
Use CAST-generated intelligence to refine cloud optimization roadmaps, reducing legal, security, and obsolescence risks in open-source components.
Assess the readiness of each application to deploy across multiple clouds.