Advanced Dockerfile: Multi-Stage Builds, Registries, and Tricks
Free Docker course. Expert Docker tricks: multi-stage builds, optimizing images, faster build times, and distributing images through Docker registries.
Programming languages
Dockerfile: Directives and Dockerizing Projects
Free Docker course. A Dockerfile is a file of directives for building and deploying custom applications with Docker. Learn how to Dockerize your projects.
Docker Images: Complete Guide to Docker Commands
Free Docker course. Take full control of Docker images and learn to work in depth with Docker commands, from pull and run to volumes and networks.
Docker Compose in a Project
Free Docker course. As developers, we want to build Docker Compose files that are part of a project (Java, Python, Go, etc.). Learn how, step by step.
Docker Compose
Complete free Docker Compose course: a Docker tool for defining and running multiple containers to build custom environments, step by step.
Docker Basics: Docker Desktop and Docker Objects
Free, complete Docker course. Docker is a platform to build, deploy and run applications in containers. Learn Docker Desktop and Docker objects.
CPU vs GPU in Deep Learning: How Big Is the Difference in Training Time?
Do you know how much faster a Deep Learning model trains on a GPU than on a CPU? In this article we measure the training time difference and show you.
Fault-Tolerant, Highly Available Apache Kafka Cluster
Learn how to set up a Kafka cluster with multiple brokers, distributed across several real cloud servers, step by step.
Apache Kafka Consumers and Producers with Java and Python
Learn step by step how to program Kafka Consumers and Producers in both Java and Python, and test them in a real environment.
How to Install Apache Kafka
Learn how to install and use Apache Kafka in a professional cloud environment step by step: technical tips, commands, scripts and more.
Apache Kafka
Apache Kafka is a message broker for Big Data architectures. Brokers, Topics, Partitions, Producers and Consumers. High availability, fault tolerance, scalable.
ETL: Extract, Transform, and Load
ETL is used for massive, real-time data processing (Big Data): Extract data from different sources, Transform it into a useful structure, and Load it where you can use it.