
Comprehensive overview of C++ STL, covering data structures and algorithms. Learn efficient coding techniques and boost your programming skills with practical examples.

Comprehensive guide to SDN concepts, network programmability, and automation using APIs and Python scripts. Covers industry trends, DevOps, Cisco solutions, and practical examples with FMC REST API.

Explore modern Kubernetes edge deployment security and operations, covering secure boot, OS image download, TPM for remote attestation, deployment options, GitOps management, and edge-cloud data synchronization.

Standardized workflow for building scalable AI computer vision applications, covering data preparation, annotation, model selection, benchmarking, deployment, and monitoring for efficient development.

Explore machine learning techniques for analyzing CI/CD pipeline data, extracting insights, and automating failure identification using open-source tools like TensorFlow and Pandas with real-life OpenStack community data.

Automate ML model training and evaluation using GitLab CI/CD. Learn to allocate cloud instances, generate performance reports, transfer data, and customize workflows for efficient machine learning development.

Learn to build an automated MLOps workflow using Git, GitHub, and open-source tools, covering the entire ML model lifecycle from data labeling to prediction monitoring.

Learn Kubernetes fundamentals, its role in cloud-native infrastructure, and career implications. Explore containers, microservices, and practical applications with expert Nigel Poulton in this comprehensive introduction.

Learn to deploy a speech recognition system using Docker and NGINX, covering containerization, orchestration, and configuration for efficient application deployment.

Learn to deploy Machine Learning models in production using BentoML, covering installation, model saving, service creation, bento building, and Docker containerization. Includes hands-on examples and practical deployment steps.

Explore platform engineering's role in modern software development, its relationship with DevOps, and career opportunities in this emerging field.

Insights on deploying AI/ML models to production, covering tech stacks, organizational practices, and strategies for efficient scaling and performance optimization.

Explore IoT's complexity, challenges, and future potential with insights on frameworks, protocols, and emerging technologies in this comprehensive talk by Tom Luczak.

Explore designing and implementing distributed systems with Scala, Akka, and Spark. Learn about cluster-sharded domains, REST APIs, and DevOps considerations for wearable and mobile applications.

Marathon: A framework for fault-tolerant, elastic scale-out architecture. Simplifies deployment, scaling, and management of long-lived applications in data centers. Supports Docker containers and provides REST API for app lifecycle control.

Explore Tumblr's architectural evolution, scaling challenges, and innovative solutions. Gain insights into high-traffic system design, data management, and development practices.

Comprehensive Kubernetes crash course covering core concepts, installation, networking, deployments, storage, and resource management for efficient container orchestration.

Comprehensive Docker tutorial covering installation, Dockerfiles, images, containers, volumes, and Docker Compose. Learn containerization essentials and best practices in 2.5 hours.

Learn to create Kubernetes operators using Kubebuilder, covering project setup, API creation, code generation, custom resources, and validation techniques for efficient cluster management.

Explore Rust for Kubernetes operators: write a concise operator in under 100 lines, compare with Golang, and learn about custom resources and data fetching in this quick introduction.

Learn to build and access a local RaspberryPi Kubernetes cluster from anywhere using Tailscale. Explore hardware, networking, and workloads for a 4-node setup, ideal for local development and simulating real environments.