Cloud is the foundation of any modern, digital solution today. Cloud forms the infrastructure backbone for BigData & Analytics, Containers, AI & ML, Mobility, IoT - you name it! Digital solutions leveraging many of these technologies need to embrace new architectures and patterns, which broadly fit the class of "Cloud-Native" applications. Today, developers and architects have the challenge of delivering much more complex, distributed architectures, doing so at a much more rapid pace - to meet the needs of business agility. This is very DevOps plays a crucial role. This talk throws a perspective on building modern, Cloud-Native applications while embracing new delivery practices like DevOps. It would provide a whirlwind tour of what it takes to be relevant in this exciting, but equally challenging world of Digital.

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

3. The Economic Shift

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

15. DevOps and Agility

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