
Explore gRPC and Kubernetes for building scalable microservices. Learn core concepts, benefits, and real-world applications based on Google's experience in high-performance distributed systems.

Discover how to rapidly scale from concept to IPO using Infrastructure-as-Code. Learn about SST, serverless frameworks, and strategies for building high-performing teams and communities in tech startups.

Explore building AI infrastructure with Kubernetes, covering open-source LLMs, data engineering, and cost optimization. Gain insights on deployment, scalability, and choosing the right tools for AI-enabled applications.

Explore CNCF's governance, ask questions, and provide feedback on cloud native ecosystem. Engage with board members from leading tech companies in this interactive town hall session.

Streamline MongoDB operations, explore challenges, and learn best practices for enhanced performance in modern applications using operators for VMs and Kubernetes.

Gain hands-on experience creating and publishing charms, Canonical's software operators for Juju. Learn charm structure, deployment, and best practices for streamlining software operations.

Explore software operators for PostgreSQL, Apache Spark, and Kubeflow. Learn to simplify complex operations, streamline data processing, and navigate MLOps setups for optimal AI workload performance.

Deploy a secure GoLang app with Kubernetes, ArgoCD, Prometheus & Grafana. Learn modern DevOps practices for automated, secure, and scalable deployment pipelines using various tools and technologies.

Explore service mesh technology, its implementation, and emerging trends like Ambient mesh. Learn when and how to leverage service mesh for improved inter-service communication and application reliability.

Enhance ML project efficiency on Kubernetes: optimize resource usage, improve scheduling, and streamline production deployment using open-source solutions.

Explore Kubernetes architecture, local development setup, and key features for developers. Learn to leverage container orchestration for load balancing, self-healing, and seamless updates.

Explore Norway's Altinn platform: revolutionizing digital government services with cloud-native, open-source applications. Learn about its architecture, technologies, and impact on public service delivery.

Insights on securing Docker and Kubernetes environments, monitoring for malicious activity, and preparing for potential attacks based on real-world experiences with Katacoda.

Explore hands-on Vertex AI for ML model training, serving, and pipeline creation. Learn to leverage Google Cloud's powerful tools for efficient machine learning workflows and deployments.

Explore cloud native computing advancements and project updates in this CNCF Technical Oversight Committee meeting, featuring discussions on graduated, incubating, and sandbox projects.

Master practical OpenTelemetry implementation in Javascript/Typescript, covering instrumentation, observability setup, context management, and integration with messaging systems and Kubernetes.

Dive into AI-powered cloud performance optimization techniques, exploring how modern applications can achieve peak efficiency through automated tuning and machine learning approaches.

Master secure container deployment in Azure through confidential computing, covering data protection, end-to-end encryption, cluster setup, and container management with Contrast integration.

Explore Kubernetes Operators, from control loops to custom resources. Master advanced concepts, frameworks like Kubebuilder and Operator SDK, and see a practical demo for hands-on learning.

Supercharge ML experimentation with PyTorch Lightning and DVC, and streamline production using Kubeflow. Learn to overcome challenges in complex ML model development and deployment.

Explore native and containerized microservices using Java and Quarkus. Learn to build efficient, scalable applications with cutting-edge technologies.