Sreejith NT

Sreejith is a results-driven IT Program manager working in Bangalore in an Energy Sector company, with demonstrated expertise in delivering IT solutions and products in various domains with digital transformation and agile transformation as the core strengths. Led cross-functional teams across multiple continents as distributed teams. Sreejith has a proven track record as an agile coach working for Cisco, Microsoft consulting, Oracle and Digite for implementing Scrum, Kanban, Lean, and Scaled Agile frameworks. He has presented at both national and regional PMI conferences and served as a reviewer for Agile Chennai 2022. His article was selected for inclusion in David Anderson’s Fit for Purpose book. Additionally, Sreejith holds a publication on IP.com and has been granted two USPTO patents.

Harshith Bhaskar

Harshith is a Senior Cloud DevOps Engineer based in Bengaluru, specializing in the Energy Sector. With almost a decade of experience, Harshith has demonstrated expertise in designing, implementing, and managing scalable cloud infrastructures across AWS, Azure, and Google Cloud. He excels in automation, CI/CD pipelines, infrastructure as code (IaC), Kubernetes (K8s) etc, ensuring seamless integration and deployment processes. Harshith has successfully led cross-functional teams in optimizing cloud environments for enhanced performance, security, and cost-efficiency. Additionally, he holds multiple certifications in cloud technologies.

AI in Flow improvement of DevOps

The enterprise value of AI companies has surged to a staggering $9 trillion, as highlighted in the State of AI report from October 2024. AI is no longer a distant possibility - it’s here, and it’s thriving. But this rapid growth brings a key question for those of us in the software industry: Should we be fearful of AI, or should we embrace this wave of change? Rather than viewing AI as a threat, what if we reframe it as a force multiplier? Imagine tools like GitHub Copilot, which not only catch errors or offer suggestions but also take on repetitive tasks, freeing developers and DevOps engineers to think bigger. With AI, we can focus on the big picture: tackling more complex challenges, driving innovation, and delivering simpler, more effective solutions to the business.

AI Enabled Flow Efficiency in DevOps is opening the window towards a garden full of AI tools that can improve the flow of work items in the overall DevOps cycle.These tools are not just about automation; they are about enhancing human capability—allowing teams to focus on high-impact work while AI handles the heavy lifting in the background.Let’s dive into this exciting topic together.