Transforming Legacy In To The New World Of DevOps and PaaS
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The document discusses how Argentum Analytics can help transform legacy applications into cloud-ready applications. It provides an overview of the challenges of moving complex applications to the cloud. Argentum uses a lexical analysis of code to generate a metadata database and visualizations that provide insights into refactoring needs and costs. This helps reduce costs, risks, and accelerate cloud adoption by identifying optimization opportunities and the best cloud platform.
Transforming Legacy In To The New World Of DevOps and PaaS
- 1. Transforming legacy in to the new world of DevOps and PaaS Rhys Sharp – CTO Rhys.sharp@fedr8.com @rhyshf
- 6. The Challenge of applications are not in the cloud
- 7. The Inhibitors Complex apps App developers left Security concerns Unknown costs Old languages Risk
- 8. Large Enterprise ModernisaDon Code Re-‐use DevOps £
- 10. A Large Global Media Conglomerate
- 12. Which Cloud is right for my code? Infrastructure as a Service Containers Pla:orm as a Service
- 13. GeLng from A to B Path Finder Tool driven consultancy engagement to define Cloud Strategy Fast Track to PaaS Use Argentum to analyse applications that can move to the cloud Remediate Complete the remediation of applications using the information from Argentum
- 14. How it works The code undergoes a complex lexical analysis and is split into objectified tokens These tokens populate a complex meta database Highly sophisticated queries are run against the meta database Resulting in comprehensive visualisation of your application and actionable business intelligence to enable successful cloud adoption Code is uploaded to Argentum platform
- 15. RemediaDon AcDviDes • Code refactoring • Code redevelopment • Language or Framework upgrade • Deployment automaDon • ContainerisaDon
- 16. The 4 SoluDons Application Security Analysis Cloud Optimisation Analysis Cloud Integration Analysis Application Due Diligence
- 17. Reducing Costs • Reduce applicaDon due diligence and analysis costs by over 85% • Reducing the cost of cloud infrastructure by 20% • Reducing the cost of support associated with technical debt
- 18. Reducing Risk • Gain a deep understanding of the applicaDon • Reduce the risk of moving complex applicaDons • QuanDfy the amount of change • QuanDfy the cost of change
- 19. Improve Efficiency • IdenDfy inefficiencies in the applicaDon • Reduce the running footprint of the applicaDon • Eliminate redundant code and technical debt
- 20. Accelerate Cloud AdopDon • Which Cloud or PlaYorm will support my applicaDon? • How much refactoring of code will I have to do? • How much will the refactoring cost me?