Description Software development today is very different from what it was even a few years ago. Writing clean code is no longer enough when applications run on cloud platforms, scale on demand, and are expected to be available all the time. Developers are increasingly expected to understand how their code behaves in production, how it scales under load, how failures are handled, and how costs are controlled. These expectations make operational thinking a core part of modern development. This book provides a structured guide for developers transitioning from traditional operations toward NoOps, emphasizing logging, metrics, integrated security, and CI/CD ownership. The technical core covers mastering infrastructure as code with Terraform and orchestrating Kubernetes via Helm charts and canary deployments. After exploring production excellence through Prometheus monitoring, chaos testing, and FinOps cost optimization, the guide concludes with AI-driven automation and real-world case studies from the OTT and gaming industries to prepare you for the future of autonomous development. By the end of this book, readers will be comfortable taking responsibility beyond just writing features. They will be able to design, deploy, and run services that are reliable, scalable, secure, and cost-efficient, and confidently operate as end-to-end service owners in modern engineering teams. What you will learn Think beyond features and design software for real production use. Add logs, metrics, and traces to understand systems clearly. Build and maintain CI/CD pipelines you can confidently own. Create and manage infrastructure safely using code and automation. Deploy, scale, and troubleshoot applications running on Kubernetes. Make smart trade-offs between reliability, performance, security, and cost. Who this book is for This book is for software developers, DevOps engineers, SREs, and architects building cloud-native applications. Readers should possess basic programming knowledge and a familiarity with cloud concepts to effectively master production-level deployment, security, and automated infrastructure management in real-world environments. Table of Contents 1. Shift from Service Providers to Cloud Giants 2. The NoOps Vision 3. Coding Beyond Business Logic 4. Secure Code, Secure Systems 5. Testing and Automation as a Developer Norm 6. CI/CD Pipelines Built by Developers 7. Infrastructure as Code 8. Containers and Kubernetes 9. Cloud-native Deployment Strategies 10. Monitoring, Dashboards, and Observability 11. Resilience Engineering and Chaos Testing 12. Effective On-call Strategies for Code 13. Cost Optimization and Developer-led FinOps 14. Scaling Microservices 15. AI in DevOps and NoOps
