This document explains the purpose and use of test fixtures in software testing, covering their role in establishing known states, ensuring test isolation, and the different fixture types available in PyUnit.
This document presents a case study on the practical application of TDD and BDD in a real-world software project, highlighting challenges, solutions, and lessons learned for effective testing and delivery.
This document explores the evolution from monolithic to microservices architectures, highlighting their differences, challenges, and best practices for building, scaling, and communicating between services.
Explains the concept, process, and best practices of service binding in Kubernetes, including how to securely connect applications to external services using secrets and environment variables.
Explains Kubernetes ConfigMaps and Secrets, their characteristics, creation methods, and usage for managing configuration and sensitive data in deployments.
This document explains the concept, process, and best practices of rolling updates in Kubernetes, ensuring zero downtime and safe application upgrades.
This document explains Kubernetes autoscaling, including HPA, VPA, and CA their mechanisms, configuration, and best practices for optimizing resource usage and cost. It covers how each autoscaler works and when to use them.
This document explains ReplicaSet in Kubernetes, its role in maintaining desired pod states, scaling, redundancy, and best practices for deployment management. It covers how ReplicaSets work, their benefits, and practical usage examples.
This document provides a step-by-step guide for setting up a local Kubernetes lab using MicroK8s on Ubuntu 24.04. It includes instructions for installing necessary components, enabling add-ons like DNS and Helm, deploying sample applications, and accessing the Kubernetes Dashboard. It also outlines file organization and usage of kubectl.
This document outlines the essential prerequisites and foundational concepts needed before learning Kubernetes, including containerization, cloud basics YAML, networking, and terminal proficiency.
This document explains kubectl, the Kubernetes command-line tool, its command structure, types of commands, and best practices for managing cluster resources.
This document provides an overview of the Kubernetes architecture, including its components and how they interact to manage containerized applications.
This document explains Kubernetes services, their types, and related objects like Ingress, DaemonSet, StatefulSet, and Job, focusing on their roles in application networking and management.
This document explains Kubernetes objects, their properties, types, and relationships, including how they are defined, managed, and grouped using labels and namespaces.
Overview of Kubernetes, its core concepts, capabilities, and ecosystem. Explains what Kubernetes is and is not, its role in container orchestration and how it automates deployment, scaling, and management of containerized applications.
Overview of container orchestration, its challenges, benefits, and tools such as Kubernetes, Docker Swarm, Nomad, and Marathon. Covers automation, scaling deployment, and management of containers in modern cloud environments.
Understand Docker's client-server architecture including components, daemon functionality, registry operations, and the complete containerization process from build to deployment.
Explore Docker objects including Dockerfiles, images, containers, networks and storage. Learn essential Dockerfile commands, image naming conventions and Docker's approach to data persistence and networking.
Learn the complete process of building container images using Dockerfiles and creating running containers. Master essential Docker commands for image creation, container management, and registry operations.