Definitive Guide to Modernizing Applications on Google Cloud

Steve (Satish) Sangapu has been working with software since 2000. He specializes in migrating and modernizing applications from monolith to containerized microservices as well as creating data engineering pipelines to mine vast amounts of structured and unstructured data. He has extensive experience successfully leading large, cross-functional, geographically dispersed teams utilizing modern Agile development methodologies while collaboratively effectively in creating high-performance, fault-tolerant, and high-availability systems. He also holds 7 patents from the United States Patent and Trademark office and certifications from Carnegie Mellon Software Engineering Institute and Google Cloud. Dheeraj Panyam has been working in the IT industry since 2000. His experience spans diverse domains (optical, telecom, retail and healthcare) and covers all phases of SDLC lifecycle from Application Development, Production Support, QA Automation and Cloud Architecture. He lives in India and collaborates with a Google Cloud consulting company, helping them design solutions and architecture on public cloud platforms. He holds multiple Google Cloud Certifications in addition to other certifications in Networking and Testing. Jason Marston is a Cloud Solution Architect based in England. He was recruited by Microsoft because of his OSS background. Jason has worked with Java since version 1 and has a long history with open source. He has over 30 years' experience of developing software and now helps organizations migrate and modernize legacy applications to the cloud. Jason was an SME in the Worldwide Communities project at Microsoft and, as part of the leadership team for those communities, helped many people solve their problems by adopting Java on Azure. In his spare time, Jason reads science fiction books and has two children who think he is a geek/nerd.

• Table of ContentsCloud-Native Application FundamentalsEnd-to-End Extensible Tooling for Cloud-Native Application DevelopmentCloud-Native Architecture Patterns and System Architecture TenetsChoosing the Right Compute OptionChoosing the Right Database and Storage Implementing a Messaging and Scheduling SystemImplementing Cloud-Native SecurityIntroducing the Legacy Application The Initial Architecture on Google Compute EngineAddressing Scalability and AvailabilityRe-Platforming the Data LayerDesigning the Interim ArchitectureRefactoring to MicroservicesRefactoring the Frontend and Exposing REST ServicesHandling Eventual Consistency with the Compensation PatternOrchestrating Your Application with Google Kubernetes EngineGoing Serverless with Google App EngineFuture Proofing Your App with Google Cloud RunAppendix A -Choosing the Right Migration Strategy Appendix B - Application Modernization Solutions