Max Yermakhanov
DevOps guy, Automagically
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A passionate and forward-thinking DevOps guy, Max brings over 20+ years of experience helping organizations modernize how they build and deliver software. As a Senior DevOps consultant, he partners with clients across public and private sectors to implement scalable infrastructure, continuous delivery practices, and—more recently—AI-augmented development workflows.
With a Master’s degree in Computer Science and a deep appreciation for the craft of software development, Max blends hands-on technical expertise with a practical, results-driven mindset. He’s also a self-proclaimed “dilettante librarian,” holding a Master’s in Library and Information Science—fueling his curiosity and love for organizing complex systems.
Known for his collaborative approach and relentless problem-solving, Max brings energy, clarity, and a touch of humor to every challenge. A lifelong learner, he’s especially passionate about helping teams embrace emerging paradigms like Agentic SDLC—where humans and AI work together to build better software, faster.
Git Pre-Commit — Zero-Trust My Code!
commit hooks with your CI workflow.
By setting up custom hooks and integrating it with your CI workflow, you can catch errors and warnings before they are committed, streamlining your development process. With proper configuration and best practices, Precommit can significantly reduce bugs, save time, and enhance the overall quality of your codebase. Let's get started!
GitHub & Azure: Better Together
GitHub is the leading developer community on the planet, pairing that with the capability of Microsoft Azure makes the pair unstoppable for developer productivity and cloud deployment. In this session, we will discuss how to use the products together to strengthen the overall DevOps practice, including improving package security, linking work items to source control, backlog/sprint planning, and release management. Join this session and we'll deep dive into how GitHub and Azure are better together!
Agentic SDLC
Software delivery is entering its next phase—one where the SDLC doesn’t just execute, it collaborates.
Agentic SDLC brings AI out of the sidelines and embeds it across every phase of the lifecycle—from planning and coding to testing, deployment, and operations. These aren’t passive tools waiting for prompts—they’re proactive teammates that anticipate needs, automate repetitive work, surface risks early, and keep delivery flowing.
In this session, we’ll explore how intelligent agents are reshaping the entire SDLC. Think beyond code completion: agents that refine backlog items, generate and review pull requests, create meaningful tests, enforce standards, flag risks before they become incidents, and even monitor production with context.
We’ll walk through real-world scenarios and practical implementations showing how teams are using agentic approaches to boost productivity, improve code quality, and accelerate delivery—without sacrificing control or flexibility.
You’ll also see how this can be done across a diverse ecosystem of tools and platforms—cloud or on-prem, open-source or commercial—so you can adopt what works best for your environment.
Whether you’re a developer, tester, architect, or team lead, you’ll leave with concrete patterns and ideas to evolve your SDLC into a smarter, more adaptive system—where AI doesn’t replace the team, but makes every part of it stronger.
Azure DevOps: Alive, Evolving, and Smarter Than Ever
Azure DevOps has long been touted as a powerful tool for automating the process of building, testing, and deploying applications. However, over the last few years, it was suggested that Azure DevOps is dead and that users should move to GitHub instead. While it's true that GitHub is a great end-to-end developer platform to build, scale, and deliver secure software, Azure DevOps is not a slouch either. In fact, the amount of innovation recently introduced into Azure DevOps is staggering. In this session, we will look at the vast amount of new features that have been added to Azure DevOps recently including AI capabilities that make it even more powerful.
We will also look at how Azure DevOps has robust integrations with Azure, and a comprehensive suite of technologies that help you deliver software securely and quickly. Combine Azure DevOps with open-source DevOps tools to match your unique workflow, then seamlessly integrate them on Azure. Whether your app uses virtual machines, web apps, or Kubernetes, implement DevOps practices like CI/CD, infrastructure as code, and continuous monitoring with Azure and the DevOps toolchain of your choice.
Code, Cloud, and Copilots: The Modern Developer Workflow
What does a modern developer’s day actually look like in the age of AI?
In this session, we’ll walk through a real-world, end-to-end developer workflow powered by GitHub Enterprise, agentic DevOps practices, and the AI capabilities of Microsoft Azure. From the first idea to production deployment, you’ll see how AI is no longer just an assistant—but an active participant across the entire software development lifecycle.
We’ll explore how developers use AI to plan features, generate and review code, create tests, and manage pull requests—while intelligent agents help enforce standards, surface risks, and keep delivery flowing. This isn’t just about productivity—it’s about fundamentally changing how software gets built.
You’ll also see how Azure AI Foundry enables teams to design, customize, and operationalize AI agents and models within their workflows—connecting code, data, and infrastructure into a cohesive, intelligent system.
Expect a practical, scenario-driven walkthrough covering:
- A “day in the life” of an AI-augmented developer
- Agentic DevOps patterns across planning, coding, testing, and deployment
- How GitHub Enterprise enables scalable, secure collaboration
- Leveraging Azure for infrastructure, pipelines, and AI-powered insights
- Building and integrating custom AI agents with Azure AI Foundry
Whether you’re a developer, architect, or engineering leader, you’ll leave with concrete ideas on how to work smarter, ship faster, and design a truly intelligent software delivery lifecycle.
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