Infrastructure & Tooling - Full Stack Deep Learning - Spring 2021
Comprehensive overview of ML infrastructure and tools, covering software engineering, computing, resource management, frameworks, experiment management, and hyperparameter optimization for practitioners.
Testing and Deployment - Full Stack Deep Learning - March 2019
Learn about testing and deploying ML projects, covering project structure, evaluation, continuous integration, Docker, REST APIs, and various deployment options for efficient and scalable systems.
Falco and eBPF: Optimizing Large-Scale Tracing Tools
Explore eBPF's potential in high-throughput scenarios, focusing on Falco's syscall tracing. Learn about challenges, mitigations, and future enhancements for large-scale tracing tools.
Knative Functions - Introduction, Demonstration and Roadmap
Explore Knative Functions: a platform between CaaS and FaaS for deploying serverless applications. Learn its evolution, capabilities, and how to create, build, and deploy event-driven functions in multiple languages.
Efficient Deep Learning Training with Ludwig AutoML, Ray, and Nodeless Kubernetes
Explore efficient deep learning training using Ludwig AutoML and Ray on nodeless Kubernetes, optimizing GPU resource management for cost-effective and scalable model development.
Connecting the World to Knative with Kamelets
Explore Kamelets as event sources in Knative, learn installation, discovery, deployment, and management. Live demo showcases integration with event-driven applications using Apache Camel connectors.
Kn - The One-Stop Shop for Knative
Explore Knative's serverless application deployment simplification and learn to use 'kn' CLI for efficient developer workflows, from service creation to production rollout.
How Fast is FaaS? Reducing Cold Start Times in Knative
Explore Knative's autoscaling, cold start challenges, and innovative solutions like container pausing to enhance serverless performance and reduce latency in cloud-native systems.
Separation of Orchestration and Computation in KubeEdge - Understanding the Why and How
Explore KubeEdge's unique architecture separating cloud orchestration from edge computation, enabling scalable and flexible edge computing solutions with offline capabilities and optimized resource utilization.
Edge Kubernetes and Healthcare: A Next-Gen Architecture that Scales Across Thousands of Locations
Explore edge Kubernetes in healthcare, focusing on scalable architecture for thousands of locations. Learn about security, availability, and performance requirements in this transformative approach.
Story of Correlation: Integrating Thanos Metrics with Observability Signals
Explore integrating Thanos metrics with other observability signals for enhanced monitoring. Learn end-to-end correlation techniques to improve Kubernetes cluster observability beyond basic metrics.
Data Processing at Scale with Knative and Benthos
Explore scalable data processing using Knative and Benthos, focusing on batch processing challenges and solutions for enterprise use cases. Learn about transaction-based resiliency and data transformation techniques.
When GitOps Meets UX - Creating a Developer-Centric Platform
Explore the synergy between GitOps and UX to create a sustainable platform, enhancing developer experience and product visibility while simplifying onboarding and encouraging contributions.
Managing Thousands of Clusters and Their Workloads with Flux
Discover GitOps best practices for managing large-scale Kubernetes deployments using Flux, OPA Gatekeeper, and Cluster API. Learn to simplify cluster provisioning, workload management, and multi-tenancy implementation.
Reusability and Its Impact on DevOps
Explore how reusability principles enhance DevOps practices, improving efficiency and collaboration in cloud-native environments.
Kubernetes Performance Analysis and Benchmarking
Explore Kubernetes performance analysis, covering pod lifecycle, workload tools, scalability, cluster configuration, benchmarking, and load testing for optimized deployment and management.
Creating Web Apps as Containerized Services
Learn to develop and deploy web applications as containerized services, enhancing scalability and portability in cloud-native environments.
Debugging CNI Plugins with Style and Aplomb
Aprenda técnicas avanzadas para depurar plugins CNI en Kubernetes, incluyendo herramientas, patrones de arquitectura y mejores prácticas para el desarrollo y solución de problemas.
Building an Agile Platform in a Highly Regulated Industry
Discover how a leading Nordic insurer built an agile Kubernetes-based platform, balancing innovation with strict regulatory requirements through GitOps, immutable infrastructure, and strategic onboarding.
Cloud Native Machine Learning - Automated Anomaly Detection
Explore automated anomaly detection techniques for machine learning, enhancing your ability to identify and respond to data irregularities in cloud-native environments.
Multi-Canary Release and Load Testing in Cloud Native Environments
Explore advanced deployment strategies with multi-canary releases and load testing techniques for robust, scalable cloud-native applications.