Implementing Multicast with eBPF and Cilium
Discover how eBPF and Cilium enable efficient multicast networking in Kubernetes clusters, exploring implementation techniques, challenges, and solutions for streamlined pod-to-pod data delivery.
Micro-Segmentation and Multi-Tenancy: The Brown M&Ms of Platform Engineering
Explore essential strategies for implementing secure multi-tenant architectures in cloud-native platforms, focusing on micro-segmentation, GitOps automation, and policy-driven approaches for optimal workload isolation.
Stop Kubernetes' Revolving Door: A Hands-on Tutorial to Secure a Kubernetes Cluster
Master essential security practices for Kubernetes clusters through hands-on exercises covering authentication, authorization, network policies, and pod security to protect against potential threats.
Modernization of Intuit Payroll Enterprise Using Event Driven Architecture
Discover how Intuit modernized their Payroll Enterprise system using event-driven architecture, focusing on handling millions of transactions while ensuring scalability, security, and developer productivity with Numaflow.
Shopify's Open Source Approach to Network Monitoring with eBPF, Vector and ClickHouse
Discover how to build a scalable network monitoring system using eBPF, Vector, and ClickHouse to process millions of events per second across Kubernetes clusters with real-world implementation insights.
Unlocking the Future of GPU Scheduling in Kubernetes with Reinforcement Learning
Explore advanced GPU scheduling in Kubernetes through reinforcement learning, focusing on optimizing multi-GPU setups, reducing resource fragmentation, and improving utilization for large-scale ML projects.
Which GPU Sharing Strategy Is Right for You? A Comprehensive Benchmark Study Using Dynamic Resource Allocation
Explore GPU sharing strategies in Kubernetes using Dynamic Resource Allocation (DRA), comparing Multi-Instance GPUs, MPS, and CUDA Time-Slicing for optimal workload performance.
WASM and KWOK Wizardry - Writing and Testing Kubernetes Scheduler Plugins at Scale
Discover how to optimize Kubernetes scheduling by building custom plugins with WebAssembly and testing at scale using KWOK, focusing on performance metrics and efficient cluster management.
Kubernetes Workspaces: Enhancing Multi-Tenancy with Intelligent Apiserver Proxying
Discover how intelligent apiserver proxying and workspace concepts enhance Kubernetes multi-tenancy, enabling better cluster-scoped operations and simplified RBAC management for improved service offerings.
Unlocking the Potential of Large Models in Production - Best Practices and Solutions
Discover practical solutions for deploying and scaling LLMs in production using cloud-native technologies, focusing on KServe implementation, optimization techniques, and operational best practices.
Running Quantum-Safe Applications on Kubernetes
Discover how to protect cloud applications from quantum computing threats by implementing quantum-safe cryptography in Kubernetes environments, with practical steps for securing data against future quantum attacks.
What Istio Got Wrong - Learnings from the Last Seven Years of Service Mesh Development
Explore key mistakes and lessons learned from Istio's seven-year evolution, including architectural challenges, feature complexity, and the journey toward simplified service mesh solutions.
Kubernetes Smart Scaling: Getting Started with Karpenter
Master Karpenter's open-source node provisioning capabilities to automate Kubernetes infrastructure management, optimize cluster costs, and efficiently handle application scaling demands through hands-on practice.
What if Kubernetes Was a Compiler Target? - From Monolithic Code to Distributed Applications
Explore how multi-tier programming concepts could revolutionize Kubernetes development by transforming monolithic codebases into distributed applications through innovative compiler technology.
Tackling GPU Shortages and High Costs by Harnessing Hybrid Kubernetes Clusters
Discover how to build hybrid Kubernetes clusters using K3s and P2P VPN to integrate diverse GPU resources, reducing costs while maintaining scalability and performance for AI workloads.
Optimizing Cloud Efficiency with Prompt Engineering
Master cloud cost optimization techniques through AI, prompt engineering, and FinOps principles. Learn effective resource management and monitoring strategies for maximizing efficiency in cloud-native platforms.
End-to-End Chatbot Web App Development with Azure AI and PromptFlow
Master the process of building and deploying a custom chatbot using Azure AI services, from initial setup to web integration, with practical guidance on PromptFlow, data indexing, and deployment steps.
EfficientML.AI Lecture - Machine Learning Efficiency and Optimization
Master efficient machine learning techniques and optimization strategies for deploying ML models in resource-constrained environments, focusing on practical implementation methods.
Comparing AI Data Integration Methods: Long Context Windows, RAG, and Model Tuning
Explore the key differences between long context windows, RAG, and model tuning for AI applications, understanding when and how to implement each approach effectively.
Using Dynamic Secrets for Third-Party Kubernetes Applications at Scale
Discover how to implement dynamic secrets in Kubernetes using Vault Secrets Operator, with real-world examples from Canva's integration with Datadog for enhanced security at scale.
How Building a Portable Escape Room Made Me a Better Developer
Discover how building an IoT escape room reveals crucial insights into system architecture, DDD principles, and resilient software design through practical, hands-on experience and real-world parallels.