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We're here to help you find itThe 40501: Microsoft Cloud Workshop: Containers and DevOps course is an immersive learning experience focused on understanding and implementing containerization and DevOps practices using Azure services. In Module 1: Whiteboard Design Session - Containers and DevOps, learners engage in a customer case study, design a proof of concept solution, and present their solution, emphasizing real-world application and problem-solving. Module 2: Hands-on Lab - Containers and DevOps offers practical experience where participants create a Docker application, deploy it to Azure Kubernetes Service, scale to ensure High availability, and set up Load balancing and Service discovery. This workshop is crucial for learners aiming to master the use of containers in Azure DevOps environments, enabling them to efficiently manage and deploy applications in the cloud.
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Certainly! To ensure that students are well-prepared to successfully undertake training in the "40501: Microsoft Cloud Workshop: Containers and DevOps" course, the following are the minimum required prerequisites:
Please note, these prerequisites aim to provide a baseline for students to effectively engage with the course material and hands-on labs. If you are new to some of these concepts, we recommend familiarizing yourself with them through introductory courses or self-study to maximize the benefits of the Containers and DevOps workshop.
The 40501: Microsoft Cloud Workshop: Containers and DevOps course is designed for IT professionals seeking expertise in modern containerization and orchestration technologies.
Target audience for the course includes:
Gain practical skills in containerization and DevOps practices using Azure technologies, including the deployment and scaling of Docker applications on Azure Kubernetes Service (AKS).
Docker is a platform that helps you create, deploy, and run applications by using containers. Containers allow a developer to package up an application with all the parts it needs, such as libraries and other dependencies, and ship it all out as one package. This means the application will run on any other machine regardless of any customized settings that machine might have that could differ from the machine used for writing and testing the code. Docker can integrate seamlessly with systems like Azure DevOps, enhancing CI/CD pipelines by ensuring consistent environments across various development and deployment stages.
Azure Kubernetes Service (AKS) simplifies deploying, managing, and operating containerized applications using Kubernetes, an open-source system, in the Azure environment. AKS handles much of the complexity and operational overhead by automating tasks such as upgrades, monitoring, and scaling. This allows developers to focus more on building their applications than on managing the infrastructure. AKS integrates smoothly with Azure DevOps, enhancing continuous integration and continuous delivery (CI/CD) practices by providing a reliable and scalable platform for running containers. This seamless integration helps streamline workflow processes in software development and operations.
Containerization is a method of packaging software so it can run uniformly and consistently on any infrastructure. It isolates applications from the environment, ensuring that they work uniformly despite differences in development and staging environments. This technology utilizes containers, which are lightweight, allowing for increased efficiency in creating, deploying, and scaling applications. Containerization supports DevOps practices by enabling more streamlined build, test, and release processes without depending on the underlying OS configurations. This approach significantly simplifies deploying and managing applications across various platforms including cloud environments like Azure, enhancing collaboration and agility in software development cycles.
DevOps practices involve a set of methodologies and tools that improve software delivery speed, quality, and collaboration between development (dev) and operations (ops) teams. Key practices include continuous integration and continuous delivery (CI/CD), where code changes are automatically built, tested, and prepared for release to production. Automation is emphasized to ensure consistent processes and reduce manual errors. Monitoring and communication tools are adopted to respond swiftly to issues and maintain high availability and performance of services. These practices help organizations respond better to customer needs and market changes, fostering a culture of continuous improvement.
Azure Services refer to a collection of various cloud computing services provided by Microsoft under the Azure brand. These services range from those needed for computing, analytics, storage, and networking to more advanced solutions like artificial intelligence, machine learning, and Internet of Things (IoT). Azure enables businesses to build, manage, and deploy applications on a massive, global network using their favorite tools and frameworks. It offers flexibility, scalability, and reliability, all while maintaining data security and privacy. Specialized services like Azure DevOps also facilitate software development through continuous integration and deployment strategies.
High availability refers to systems or services designed to be operational and accessible for a high percentage of time, minimizing downtime and ensuring continuous operation. This approach typically involves redundancy, meaning that if one component fails, another immediately takes over to prevent interruptions. High availability is crucial in environments where system downtime can lead to significant losses or operational challenges. Techniques such as failover processes, redundant hardware, and software solutions are commonly employed to achieve high reliability and ensure services run smoothly and persistently without failure.
Load balancing is a technique used to distribute incoming network traffic across multiple servers effectively. This ensures that no single server bears too much demand, improving responsiveness and reliability of applications. By spreading traffic evenly, load balancing helps prevent server overloads, maintains application performance, and can provide redundancy in case of a server failure. This is crucial for maintaining continuous service and optimal performance in networked environments, especially in scenarios where high levels of traffic are expected, like in web or application hosting.
Service discovery is a crucial process in distributed systems, where it helps applications and services find and communicate with each other over a network. In environments with many services, such as those using microservices architecture, service discovery automates the process of finding the IP addresses and port numbers of services. This is essential for scaling and maintaining system reliability because services can dynamically move or change due to scaling, failures, or upgrades. Service discovery ensures that all components of an application can consistently discover and connect to each other without manual configuration or intervention.
The 40501: Microsoft Cloud Workshop: Containers and DevOps course is designed for IT professionals seeking expertise in modern containerization and orchestration technologies.
Target audience for the course includes:
Gain practical skills in containerization and DevOps practices using Azure technologies, including the deployment and scaling of Docker applications on Azure Kubernetes Service (AKS).
