AppFactor's platform consists of three core components: a scanner/analyzer, an orchestrator, and the overarching SaaS platform that handles data analysis, machine learning processes, and services that generate visual mappings and containerization tasks. The company is also developing machine learning classifications to help generate the patterns necessary to transform more complex, multi-host apps. The platform is expected to help companies reduce their technical debt and modernize their IT infrastructure.
Key takeaways:
- AppFactor is a U.K. startup that aims to help enterprises automatically re-architect their legacy applications for deployment into a new cloud-native home.
- The company's technology scans the company’s IT environment to identify all their apps and respective dependencies, separates the virtual and physically-hosted apps from their current environment, and rebuilds each component and app layer into separate containers ready for their new home.
- AppFactor consists of three core components: a scanner/analyzer, an "orchestrator," and the overarching AppFactor SaaS platform that handles all the data analysis, machine learning processes and services.
- The company is developing machine learning classifications to help generate the patterns necessary to transform more complex, “multi-host” apps and is also experimenting with large language models to generate the YAML for Kubernetes deployments.