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We're here to help you find itIn this course, you will learn about the open container ecosystem and how to run, operate and troubleshoot containers. You will also learn how to build container images and use tools such as Buildah, Podman and Skopeo. You will become familiar with the basics of container networking and explore different storage concepts. The course will also teach you how to build and deploy a microservices stack with Docker Compose as well as how to deploy containers in production. It will also discuss Kubernetes key concepts and walk you through the process of writing Kubernetes native pipelines with Tekton.
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| Course Fee | 2,250 |
|
Total Fees |
2,250 (USD) |
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
To successfully undertake the LFD254 course, you should have the following knowledge and resources:
1. Master container-based application development and deployment using an open container ecosystem and Kubernetes in just 7 days - perfect for developers and QA professionals.
2.
The "Containers for Developers and Quality Assurance (LFD254)" course empowers students to master building, packaging, and running container-based applications using an open container ecosystem, and to deploy these applications at scale with Kubernetes.
Understand the Open Container Ecosystem: Gain a foundational understanding of the open container ecosystem and its components.
Run and Operate Containers: Learn how to effectively run and manage containers in various environments.
Build Container Images: Master the process of creating and optimizing container images for different applications.
Advanced Image Building and Distribution: Dive deeper into advanced techniques for building and distributing container images.
Alternative Development Tools: Explore alternative tools such as Buildah, Podman, and Skopeo to broaden your container management capabilities.
Container Networking and Storage: Understand the complexities of networking and storage in container environments.
Deploy Microservices with Docker Compose: Learn to build and manage a microservices architecture using Docker Compose.
Deploy Containers in Production: Gain insights into deploying containerized applications in production environments, ensuring scalability and reliability.
Kubernetes Fundamentals: Explore Kubernetes concepts like Pods, Namespaces, and ReplicaSets to deploy
Building, packaging, and running container-based applications involves creating lightweight, portable software units that contain all the necessary elements to run in any environment. This process ensures consistency across different development and staging environments, improving collaboration, and simplifying deployments. Training on this can be enhanced with resources like the best docker course online, best docker training online, or the best online course for docker and Kubernetes. These courses help in gaining in-depth knowledge and skills required to efficiently develop, deploy, and manage containerized applications using Docker and Kubernetes.
Advanced image building in Docker involves creating optimized, secure, and smaller Docker images tailored for specific applications or services. This process includes using minimal base images, reducing the number of layers, combining commands to minimize image size, and removing unnecessary files or dependencies. Additionally, it involves leveraging build-time arguments to customize builds, applying multi-stage builds to segregate environments between build and runtime, and ensuring that the final images are secure by scanning for vulnerabilities and applying best practices for security. This skill is crucial for efficient Docker deployments and can be mastered through the best online Docker courses.
Container networking connects multiple containers so they can communicate with each other, often required when applications are split across different services within separate containers. This setup allows data to flow seamlessly between containers on the same or different hosts, managing traffic dynamically based on demand and resource availability. Container storage, on the other hand, involves the persistent storage solutions used to save and manage data created by containers. It ensures that data remains available and secure, overcoming the ephemeral (temporary) nature of containers to maintain data across container restarts and system reboots.
Microservices deployment with Docker Compose involves breaking down large software applications into smaller, independent parts called microservices. Each microservice handles a specific function and can be updated independently for better flexibility and scalability. Docker Compose is a tool that simplifies the process of defining and running multi-container Docker applications. With Docker Compose, you orchestrate the services, networks, and volumes for your application using a simple YAML file, streamlining the deployment process. This method is popular for its ease of use in developing, testing, and production environments, ensuring a more modular and manageable approach to software development.
Advanced Kubernetes topics, particularly CI/CD, involve automating the process of software delivery and deployment within container ecosystems. Kubernetes enables this by managing and scaling containers efficiently. CI/CD with Kubernetes integrates continuous integration (CI), the practice of merging code changes frequently, with continuous delivery (CD), the automated deployment of that code. The goal is to build a streamlined, repeatable process where applications are packaged in containers (often using Docker) and reliably deployed to production environments, enhancing speed, reliability, and scalability of software releases.
The full lifecycle of containerized applications involves creating, deploying, running, updating, and managing applications within Docker containers. This process effectively isolates applications from the underlying infrastructure, ensuring consistency across environments. Key phases include defining app dependencies using a Dockerfile, building a Docker image, and running it in containers. Continuous integration and delivery are integrated for updates without downtime. For comprehensive learning, resources like the best Docker course online or the best online course for Docker and Kubernetes are invaluable, providing training from development to orchestration and scaling.
1. Master container-based application development and deployment using an open container ecosystem and Kubernetes in just 7 days - perfect for developers and QA professionals.
2.
The "Containers for Developers and Quality Assurance (LFD254)" course empowers students to master building, packaging, and running container-based applications using an open container ecosystem, and to deploy these applications at scale with Kubernetes.
Understand the Open Container Ecosystem: Gain a foundational understanding of the open container ecosystem and its components.
Run and Operate Containers: Learn how to effectively run and manage containers in various environments.
Build Container Images: Master the process of creating and optimizing container images for different applications.
Advanced Image Building and Distribution: Dive deeper into advanced techniques for building and distributing container images.
Alternative Development Tools: Explore alternative tools such as Buildah, Podman, and Skopeo to broaden your container management capabilities.
Container Networking and Storage: Understand the complexities of networking and storage in container environments.
Deploy Microservices with Docker Compose: Learn to build and manage a microservices architecture using Docker Compose.
Deploy Containers in Production: Gain insights into deploying containerized applications in production environments, ensuring scalability and reliability.
Kubernetes Fundamentals: Explore Kubernetes concepts like Pods, Namespaces, and ReplicaSets to deploy
