DevOpsAre your automation practices accounting for the database? How do you verify database software quality? Most importantly, how do you care for customer data as the schema evolves? Let's dig into building a CI/CD pipeline for databases. We'll leverage Red Gate tools and containers for automation, testing, and push-button deployment. You can bring DevOps to the database.
DevOpsOrganizations relying on Docker need fast registries, but at scale image pulls slow down, raise costs & create bottlenecks.
This talk shows how Varnish is optimized to cache Docker image manifests & image layers to dramatically boost performance & developer efficiency. We’ll examine the HTTP requests behind the "docker pull" command & cover caching strategies for public and private repos while preserving authentication and access controls.
DevOpsAI’s potential in software development goes far beyond code generation or IDE chatbots. This talk explores five AI capability families (Learning, Coding Assistants, Automation & Agents, Planning, and Data Exploration) that can reshape the CI/CD lifecycle. From process assessment to VM migrations, centering AI integration around developers throughout the entire lifecycle of planning, coding, deployment, and monitoring unlocks greater ROI.
DevOpsCaddy Server, the modern and easy-to-use web server, is gaining popularity for its simplicity and automatic HTTPS features. In this session, we'll explore the installation and configuration for static sites, reverse proxying and dynamic applications. Through hands-on examples, you'll learn about its API for instant config changes as well as real-world use cases from hosting multiple sites to containerized deployments.
DevOpsComprendre Docker, le standard pour packager et exécuter nos applications, peut être difficile et/ou prendre du temps.
Depuis + de 5 ans je vulgarise Docker et ses concepts clés (images, layers, registry...) pour les expliquer visuellement, en sketchnotes, dans des articles, vidéos et même un livre illustré.
Dans cette talk, je partagerai ce parcours et vous expliquerai Docker, et ses concepts, de façon visuelle :-).
DevOpsContainers are everywhere! Since Docker's release, they've transformed software bundling and deployment. Many developers write Dockerfiles and build images, but what's really happening under the hood? This talk explores namespaces, cgroups and other container primitives. You'll learn how containers provide isolation, layers are composed, and what makes them secure and powerful. Perfect for developers and ops professionals seeking deeper insights.
DevOpsUnlike CI/CD pipelines for applications, we can't just delete the database and pop up a new one with each new version. Let's start with the production database, and get SQL Server content to developers in containers, and then flow schema and lookup data back into production with migration tools. You can bring the reliability and automation of CI/CD pipelines to Database DevOps with containers.
DevOpsAI isn’t coming for the future of software delivery, it’s already here, rewriting the rules in real time. Models are being trained, deployed, and scaled faster than ever, but while DevOps gave us speed and reliability for traditional applications, it wasn’t built for the messy, unpredictable world of machine learning. That’s where MLOps comes in, the next evolution of DevOps, engineered for the age of AI.
DevOpsReady to reduce your container build complexity? Cloud-Native Buildpacks automatically transform your source code into production-ready container images with very little configuration. This session introduces CNB fundamentals through practical examples: local builds with Pack CLI, CI pipeline integration, and proven strategies to overcome common adoption challenges and streamline your containerization workflow.
DevOpsMany teams use CDNs or caching proxies for speed and scale, but often overlook their value for observability.
In this talk, Thijs shows how to turn Varnish into a rich observability layer—unlocking metrics and logs already flowing through the proxy, integrating with Prometheus, Loki, and Grafana, and standardizing data with OpenTelemetry—making your proxy not only a performance booster, but also a key source of insights.
DevOpsThings we might take for granted today: comprehensive testing, automated deployment, local dev environments on demand. How do you take a 20 year old web application, including its runtime dependence on a live database, and retrofit it with these modern best practices? Well, testing was the (relatively) easy part, it was the deployment cycle, and spinning up local dev environments that was harder, but not impossible. Let us show you how we did it.
DevOpsLearn how to build a modern development setup where coding agents can safely contribute code, run their own automated and manual tests, and debug bugs before handing changes back to you. We’ll cover dev containers setup, agent coding tools using MCP, and cross-agent pull request reviews. Attendees will see how to make agentic coding a reliable part of day-to-day development.
DevOpsModern applications face security challenges across the full software lifecycle, from development to production. This session explores strategies to integrate vulnerability scanning early in the IDE, enforce secure practices in CI/CD, and monitor running systems. Learn how to identify, remediate, and prevent security risks throughout the SDLC, creating resilient, secure applications without slowing development.
DevOpsBuilding an ideal observability stack is far from easy, it often means steep costs, invasive code changes, and vendor lock-in. This talk shows how OpenTelemetry with eBPF delivers logs, metrics, and traces with near-zero overhead. Using examples from real-life applications running on the Incus container platform, we will see how this combination provides effective monitoring.
DevOpsWith so many observability tools, complexity, cost, and data overload are common. This talk presents a minimalist approach, focusing only on essential signals to detect and resolve issues. We’ll show how tools like Coroot simplify deployment, lower overhead, and deliver actionable insights. Whether in hybrid setups or Kubernetes, learn how to streamline observability and cut costs while boosting reliability.
DevOpsUnderstanding Kubernetes can be difficult or time-consuming.
Years ago, I reimagined its core concepts—pods, deployments, services, jobs... and began explaining them visually. After two years of late-night work, I published an illustrated book covering everything from basics to debugging.
In this talk, I’ll share that journey and then I will explain Kubernetes, and its core concepts, to you ... in a visual way :-).
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