
Learn essential strategies for upgrading Strimzi and Apache Kafka, ensuring security and optimal performance in critical infrastructure environments.

Explore key Azure infrastructure updates from Ignite 2023, covering networking, compute, storage, databases, and management features to enhance cloud deployments and operations.

Discover how k0smotron and ArgoCD streamline multi-cluster Kubernetes and application lifecycle management. Learn to implement a fully declarative stack using open-source tools for agile, lock-in-free operations.

Explore out-of-process storage backends for VMs, comparing options like qemu-storage-daemon. Analyze performance characteristics and future optimizations for efficient storage solutions.

Deploy Hyperledger Fabric 2.5.x network on managed Kubernetes using Bevel and Bevel-Operator-Fabric. Learn differences between tools and gain hands-on experience in blockchain network automation.

Explore explainability in MLOps with Dattaraj Rao. Gain insights on rule-based systems, ML model deployment, and emerging trends in AI. Learn about responsible AI and practical applications in various industries.

Explore how Aurora Innovation accelerates ML model development for autonomous vehicles using Kubeflow, covering infrastructure evolution, pipeline building, and organization-wide adoption.

Explore declarative MLOps on Kubernetes for streamlined model serving. Learn containerization, CI/CD with GitOps, and best practices for scalable, high-velocity ML deployments using native K8s operators.

Explore AI integration challenges for businesses, from virtualization to modern ML systems. Gain insights on bridging gaps in AI implementation and investment strategies.

Explore ML platform development, community building, and advocacy at Wolt. Gain insights on onboarding data scientists, creating user-friendly documentation, and implementing DevRel strategies for effective ML deployments.

Explore techniques for handling multi-terabyte LLM checkpoints, including storage options, saving and loading strategies, and infrastructure considerations for large-scale AI model training.

Explore Uber's Michelangelo platform evolution, from basic ML predictions to advanced deep learning and generative AI, addressing challenges and introducing innovative features for streamlined AI operations.

Learn essential software engineering principles for data scientists to improve code quality, modularity, and readability. Enhance project scalability and model deployment capabilities.

Automate deployments using Docker, GitHub Actions, and Kubernetes. Learn to build Dockerfiles, create DevOps pipelines, and deploy to Kubernetes for efficient content delivery.

Explore edge computing with Apache Kafka for improved performance and resiliency. Learn use cases, cloud integration, and Kubernetes management using GitOps. Includes IoT data processing demo.

Explore Java optimization for EU processors, focusing on Quarkus and TornadoVM in the AERO project for cloud-ready deployments on European Processor Initiative designs.

Explore the open-source components in managed cloud services, focusing on Red Hat's offerings and the tools used to manage OpenShift clusters at scale.

Explore Quarkus' developer-friendly features through live coding. Learn to create Java microservices with databases, remote connections, and security, plus containerization and OpenShift deployment.

Explore Apache Kafka's transition from ZooKeeper to KRaft, understanding advantages, challenges, and implications for Kubernetes deployments and the Strimzi project.

Explore CODECO, an innovative open-source framework optimizing Edge-Cloud infrastructure efficiency through cognitive orchestration. Learn its principles, objectives, and potential impact across industries.

Explore event-driven architectures with Knative Eventing and Apache Kafka. Learn key concepts and see a live demo of a customer review moderation pipeline with AI/ML integration.