Gemini: Google's Large Language Model - API Integration and Applications
Explore Gemini, Google's multimodal LLM, and learn to integrate it into applications using Java and LangChain4j. Discover techniques for data extraction, text classification, and knowledge extension with RAG.
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.
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.
Efficient Model Running with Automation - Techniques and Best Practices
Discover efficient model running techniques, from scripting to hardware optimization. Learn to streamline processes, overcome slowdowns, and leverage cloud computing for enhanced modeling skills.
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.
Securing Azure OpenAI Apps in the Enterprise
Explore core security controls for Azure OpenAI in enterprises. Learn available measures, identify gaps, assess effectiveness, and implement robust protection strategies.
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.
CXL Memory Compression
Explore memory compression techniques for CXL technology, enhancing data center efficiency and performance in modern computing infrastructures.
Grinding the Monolith - Transitioning from Monolithic to Microservices Architecture
Explore strategies for breaking down monolithic systems into microservices, addressing challenges and leveraging incremental approaches to modernize legacy architectures.
Mind the Gap - Connecting High Performance Systems at a Leading Crypto Exchange
Explore high-performance architecture and Spring Boot integration in a leading crypto exchange, focusing on ultra-low latency, scalability, and processing market data efficiently.
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.
Accelerating the LLM Lifecycle on the Cloud
Explore PyTorch Lightning and Lightning Studios for reproducible AI development on the cloud, enabling seamless accelerated computing and solving challenges of reproducibility and collaboration.
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.
ML Data Version Control and Reproducibility at Scale
Explore data version control techniques for efficient ML model development, addressing reproducibility challenges and enabling scalable cloud-based training using open-source tools like Langchain and TensorFlow.
Streamlining Falco Operations in Production with Falcoctl
Explore Falcoctl's capabilities for streamlining Falco operations in production environments, enhancing security and efficiency in cloud-native systems.