Durable Execution - The Next Leap for Microservices Architectures
Explore how Kubernetes operators and CRDs can simplify platform engineering, reduce developer cognitive load, and create powerful abstractions for microservices and data products in cloud-native environments.
Platform Engineering: Raising Abstraction Levels with Kubernetes Operators
Explore how Kubernetes Operators and CRDs can be used to create higher-level abstractions in platform engineering, lowering cognitive load for developers and enabling self-service tools.
Docker and Legal Compliance - Navigating the Containerized World
Explore legal compliance in Docker deployments, covering best practices, tools, and solutions for audits and continuous integration in containerized environments.
Multi-Cloud, Multi-Cluster Orchestration with Karmada - June 19, 2024
Explore multi-cloud, multi-cluster orchestration with Karmada in this CNCF Research End User Group session, focusing on advanced cloud native computing techniques and solutions.
Kubernetes in Sign Language - Spinning Up a Cluster on AWS EKS
Hands-on workshop demonstrating how to set up a Kubernetes cluster on AWS EKS, covering key features, best practices, and essential tips applicable to various cloud providers.
How to Make IaC Easier for Developers
Explore strategies to simplify Infrastructure as Code for developers, enhancing efficiency and productivity in cloud-native environments.
Operating Event-Driven Architectures with Quality in Mind
Explore strategies for building reliable event-driven architectures, addressing testing challenges, observability, and release strategies in asynchronous systems.
Exploring Headlamp: A Sleek and Powerful Kubernetes Web UI - Episode 19
Explore Headlamp, a sleek Kubernetes web UI for efficient cluster management. Learn about real-time monitoring, resource management, and other powerful features to streamline your Kubernetes operations.
The Verification of a Distributed System - A Practitioner's Guide to Increasing Confidence in System Correctness
Explore techniques for verifying distributed systems, addressing challenges of partial failure and asynchrony to increase confidence in system correctness and reliability.
Front End Testing with GitHub Actions - NDC Sydney 2024
Explore automating front-end tests using GitHub Actions, integrating them into your deployment pipeline for robust, pre-merge validation of UI changes and functionality.
Effective Detection in Kubernetes Clusters
Explore Kubernetes cluster security, event sources, and cloud interfaces to develop efficient detection strategies for protecting against rising attacks on production environments.
Effective Building Blocks for Securing Multi-Tenant Kubernetes Clusters
Explore Snapchat's journey in securing multi-tenant Kubernetes clusters, focusing on automated least privileged access and practical security trade-offs for container escape prevention.
Long Live Short Lived Credentials - Auto-rotating Secrets at Scale
Explore auto-rotating secrets management for enhanced security. Learn practical strategies to implement and scale this crucial practice in your systems.
Mount API Extensions
Explore mount API extensions with Christian Brauner, delving into advanced Linux system concepts and their practical applications.
Micrometer Mastery - Unleash Advanced Observability in JVM Apps
Unlock Micrometer's advanced observability features for JVM apps. Learn Observation API, conventions, automated documentation, and practical techniques to enhance metrics and distributed tracing.
Managing VMs and Containers Together with KubeVirt and k0s
Learn to manage VMs and containers together using KubeVirt and k0s. Discover optimal use cases, installation process, and see a live demo of running containerized VMs on Kubernetes.
Scaling EDA Workloads with Kubernetes, KEDA and Karpenter - Handling Event-Driven Traffic
Explore efficient event-driven workload scaling using Kubernetes, KEDA, and Karpenter. Learn to handle traffic spikes and optimize costs for real-time processing in high-demand scenarios.
Deploy and Monitor ML Pipelines with Open Source and Free Applications
Learn to deploy and monitor ML pipelines using open-source tools. Automate data refresh, generate forecasts, and set up monitoring dashboards with GitHub Actions, Docker, MLflow, and more.
Building Reproducible ML Processes with an Open Source Stack
Explore open-source tools for reproducible machine learning, covering code, data, and environment management. Includes hands-on demonstration of experiment replication using KubeFlow, Git, Minio, and lakeFS.
Optimizing Kubernetes Cluster Scaling for Advanced Generative Models
Explore advanced techniques for scaling Kubernetes clusters to support complex generative models, leveraging tools like Flyte, MLflow, and Kubeflow for efficient deployment and management.
Examining the Principles of Observability and Its Relevance in LLM Applications
Explore observability in LLM applications, focusing on metrics, emerging technologies, and analytics for enhanced AI transparency, performance, and trustworthiness.