Thinking "Cloud-Native"
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The document discusses the shift towards digital and cloud-native technologies, emphasizing the economic changes and the adoption of microservices and DevOps culture. It highlights the benefits of improved agility, reduced time to production, and the transition from traditional IT silos to collaborative practices. The summary concludes with key shifts in deployment strategies and skillsets essential for modern software architecture.
Thinking "Cloud-Native"
- 1. Thinking Cloud-Native! Manoj Ganapathi Chief Architect, CodeOps
- 2. Agenda Digital & Cloud-Native: 3 Perspectives Cloud - The Economic Shift MicroServices - Modern Software Architecture Agility & DevOps Q&A
- 4. Shift from.. Source: Consumption Economics – JB Wood et. Al
- 5. To.. Source: Consumption Economics – JB Wood et. Al
- 6. Cloud Service Models Explained Src: https://www.episerver.com/learn/resources/blog/fred-bals/pizza-as-a-service/
- 7. What the shift means.. Embracing the economics of consumption Risk shift – from customer to supplier IT Disintermediation, Service Brokerage Cheaper software, simpler consumption (from the business point of view)
- 8. MicroServices & Modern Software Architecture
- 9. Embracing New, complex architectures leveraging Digital technology While keeping Release cycles short (Reduced time to Value) The DUAL challenge for IT today
- 10. SOLID Refactorin g Automated Testing DDD Design Patterns BDD Elements of Modern Software Architecture MicroServices Resilience Cloud-First High Availability Design & Build Deploy Operate Containers CI & CD Monitoring Config Management Automation Clean Code UX Agility Scalability Mobility Big Data & Analaytics IoT
- 16. Ask yourself.. “If a developer makes a change, how long does it take to get into production?” “What has to happen for that change to get to production?” “What % of your time are you spending on production support?”
- 17. DevOps - A Culture of “High Performance” A cross-functional community of practice dedicated to the study of building, evolving and operating rapidly changing, secure, resilient systems at scale
- 18. DevOps Culture Automation Agile Processes Lean Engineering• CI/CD • Kanban • … • Reducing WIP • Elevating Bottlenecks • … • Infrastructure as code • Config Management/DSC • Monitoring & Instrumentation • Automated Tested • …
- 19. Drivers for IT performance lead time for changes release frequency time to restore service change fail rate Sidebar…Lead Time & Cycle time To Institute.. Measure everything Drive Outcomes Establish Trust Constant Feedback Continuous Improvement
- 20. In Summary Shift away from silos to DevOps culture Shift away from monolithic to MicroServices Shift away from proprietary to Open-Source based innovation Shift away from native, on-premises deployments to Hybrid cloud Shift away from CAPEX structures to OPEX structures Shift away from I shaped skillset to T Shaped (Full Stack)
- 21. Thank You @manojgr, manojgr@gmail.com, manoj@codeops.tech https://www.linkedin.com/in/manojg