Tackle

Refactor Applications to Kubernetes

The Tackle project repositories contain tools that support the modernization and migration of applications to Kubernetes.

The first tools added to Tackle are the Application Inventory and Pathfinder.
It comprises 3 microservices and accessible from a common Tackle UI.

Tackle Application Inventory allows users to maintain their portfolio of applications, link them to the business services that they support, define their interdependencies, and use an extensible tagging model to add metadata to describe and categorise them in multiple dimensions. The Application Inventory is the vehicle by which an application can be selected for assessment by Pathfinder.
Tackle Pathfinder is a questionnaire based tool that assesses the suitability of applications for modernization in order to be deployed in Containers on an enterprise Kubernetes platform. Through interaction with the questionnaire, and review process, the system is enriched with application knowledge which is exposed via a collection of reports. The reports provide information about applications’ suitability for Kubernetes, highlight associated risks, and generate an adoption plan informed by the applications’ prioritization, business criticality and dependencies.
Tackle Controls are a collection of entities that add value to Application Inventory and the Pathfinder assessment. They comprise of Business Services, Stakeholders, Stakeholder Groups, Job Functions, Tag Types and Tags.

Tackle DiVA is a data-centric application analysis tool. It imports a set of target application source files and provides database/transaction analysis results.
Tackle Test Generator is an automatic test-generation and differential-testing tool. Currently, Tacke-test supports unit-level test generation for Java applications; future project plans include adding capabilities for automated generation of end-to-end UI/UX test cases for web applications and test cases for REST APIs.
Tackle Container Advisor is a tool that provides containerization advisory for a large scale application portfolio. It takes a natural language description of applications and recommends whether the applications can be containerized in terms of images from multiple container catalogs (DockerHub, Openshift). In future we plan to support Operators and recommend disposition with explainability.