DevOps Live Day 2 Highlights

A Unified CI/CD Platform: Driving Engineering Excellence Through Metrics, Compliance, and Automation

Sanmat Jhanjhari, DevOps Lead - Nationwide

Agentic tooling changes what engineers spend time on: less keystroking, more systems thinking, decision-making, communication, and verification. This session explores the evolving skillset: writing intent clearly, reviewing machine-generated changes, shaping guardrails, and owning outcomes. You’ll learn how top teams keep velocity high while increasing reliability and security.

From Rollouts to Results: Unlocking the Value of Feature Management and Experimentation

Alex Bock, Feature Management & Experimentation - Advisory Director - Harness
Iram Khan, Enterprise Sales Engineer - Harness

In this session, both delved into how to mitigate release risks, validate ideas with live users before full rollout, collect actionable insights to guide product decisions, and deliver continuous value without sacrificing stability.

Building an AI Assistant for DevOps: From Noise to Action

Mahendran Selvakumar, Cloud and DevSecOps Engineer - Tata Consultancy Services Limited

Modern DevOps teams face an avalanche of alerts, tickets, and logs, making it difficult to distinguish what truly matters. In this session, they explored how to design and implement an AI driven DevOps assistant that transforms raw noise into actionable insights. From automating routine runbooks to guiding incident response and streamlining CI/CD pipelines, we will share practical approaches and guardrails for integrating AI safely and effectively. Attendees will leave with a clear blueprint for introducing an assistant into their DevOps workflows that enhances productivity, reduces toil, and builds trust across teams.

Building Trust in an AI-Enabled SDLC: From Code to Continuous Delivery

Dylan Morley, Distinguished Engineer - ASOS
Rob Hill, Principal Platform Engineer - ASOS

This session explored practical approaches for integrating AI into the SDLC in a reliable, transparent and measurable way. Both demonstrated how tools such as GitHub Copilot can support code creation and review, how AI-assisted pull request analysis can improve quality gates, and how deployment tools like Flagger enable safe, automated rollouts driven by data rather than instinct. Attendees gained a clear view of how to introduce AI into delivery workflows while maintaining confidence and engineering standards.

Cut Some Corners and DevOps Can Change the World

David MacArthur, Director - Accessibility Now

David Macarthur walked through changing our perceptions of how we build and support no matter the industry. You will leave this presentation with a different outlook on your role inside and outside the office.

The Future of Reliability: How AI‑Driven Observability Outperforms Traditional Monitoring

Benjamin Chiro, Senior Staff DevOps Engineer - SSE Plc

This session introduced how AI‑driven observability unifies logs, metrics, traces, and profiling, then applies machine learning and generative AI to automatically detect anomalies, reduce MTTR, and anticipate failures before they impact users.

AI-powered MongoDB ETL - without the pain

Siamion Makarski, Principal Engineer (Architecture) - 3TSoftware Labs

In this session, Siamion Makarski, Principal Engineer (Architecture), explored how AI-assisted techniques are reshaping MongoDB ETL design. Drawing on real-world scenarios, he will examine how natural-language-driven pipeline creation, automated transformations, and unified workflows can simplify common challenges such as data masking, aggregation for analytics, and event streaming with Kafka.

Why Platform Engineering is the Control Plane for Agentic AI

Gus Shaw Stewart, Solution Engineer - Port.io

This session is for the platform engineers who have spent years building the foundations that matter when it comes to making agentic AI work. The context layer, the ownership model, the dependency graph - these are not new concepts. They are the pillars platform engineers have been building for years.