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Performance testing has traditionally lived in high-fidelity pre-production environments — but by the time you find a performance issue that late in the cycle, the cost to fix it is already compounding. In this episode, Chris is joined by HariKrishnan, Cloud Transformation Consultant, to explore a practical shift-left approach to performance testing. Hari shares real-world experience identifying the categories of performance issues that can be reproduced locally or in CI pipelines using tools like Gatling and Docker, reducing MTTR and avoiding the environment time-sharing bottlenecks that slow teams down.

Azure Arc is a suite of Azure Services that simplifies management of workloads in a Hybrid and Multicloud deployment. You've likely heard about this from the Infrastructure or Virtual Machine perspective, but how can it help with your applications? We'll explore how App Services, Logic Apps, Azure Functions, Event Grid and API Management Gateways can be deployed to on-premises and other clouds using Azure Arc!

In this session, we'll navigate through a typical real-world architecture of a solution and consider the decisions that we may wish to make at various stages. Alongside that, we'll factor in how requirements and design patterns can help influence our overall design, based on learnings from Chris' 5+ year journey taking customers to production on Azure.

In this session, we'll navigate through a typical real-world architecture of a solution and consider the decisions that we may wish to make at various stages. Alongside that, we'll factor in how requirements and design patterns can help influence our overall design, based on learnings from Chris' 5+ year journey taking customers to production on Azure.

A double episode catching up on two weeks of Azure updates including AKS scale down modes, Cosmos DB Functions v4, and Azure Functions runtime 4.0 with .NET 6, plus GitHub CLI 2.0, Advanced Security secret scanning APIs, and a look at secretless application patterns with managed identities.

A decade after Patrick Debois coined "DevOps," the landscape looks radically different. In this episode, Daniela Fontani — CTO at Central Consulting and long-time open source contributor — breaks down the most important DevOps trends reshaping the industry today: DevSecOps, GitOps, NoOps, automation-first pipelines, and the growing role of platform engineering. Plus, the honest truth about which buzzwords actually matter and which you can safely ignore.

Migrating to the Cloud is more than just deciding which technology you want to adopt, or building out the appropriate architectures for your implementation. There is a significant amount of planning needed before you take your initial steps. For example, the initial migration process, establishing a foundation for your ongoing governance, and the wider management of expectations from your business, as well as establishing team structure and responsibilities. This is where the Azure Cloud Adoption Framework comes in.

Chris Reddington is joined by Thomas Thornton — DevOps specialist at Kainos — for a practical deep dive into real-world DevOps. They cover CI/CD pipeline design, Git branching strategies (including trunk-based development), pull request workflows, Infrastructure as Code with Terraform, Kubernetes, and GitOps. Thomas draws on experience managing 83 Azure subscriptions and 120+ GitOps-driven applications in production.

Chris walks through the new GitHub Issues beta, showcasing project boards, table views, YAML-based issue forms, and converting checklists to sub-issues, alongside Azure capacity reservation, zone redundant disk storage, and DevSecOps shifting-left updates.

Most organizations undergoing digital transformation are moving through maturity stages — from localized, monolithic setups toward agile, cloud-native, data-driven platforms. But what does it take to architect that journey? In this session, Asanka Abesinghe shares a practical framework covering the six design principles of digitally-driven organizations (decentralized, lean-agile, open standards, customer-centric, cloud-native, and data-driven), how to layer business, information, application, and technology architecture, and the evolving role of the architect as an organizational bridge between business strategy and technical execution. From the build-vs-buy decision to maturity-model road-mapping, this is an essential session for architects leading or contributing to enterprise transformation programmes.