Deploying Microservices to Kubernetes using Azure DevOps

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Deploying Microservices to Kubernetes using Azure DevOps

Coursera · Beginner ·🏗️ Systems Design & Architecture ·1mo ago
Kubernetes is open-source, and its container orchestration benefits enable automation of various tasks such as deployment, management, and scaling of container-based applications. Presently, you can find various cloud-based applications using Kubernetes workloads. Since the Azure cloud provides ease of running Kubernetes alongside ease of scalability and management of microservices with higher availability, it is one of the foremost choices of all enterprises for DevOps transformation. You can utilize the opportunity to improve your expertise in deploying microservices in Kubernetes and capitalize on many career options. Deploying Microservices to Kubernetes using Azure DevOps is created with the best standards of quality and simple communication of topics. The subject matter experts involved in the creation of microservices and deploying them to Kubernetes by leveraging Azure DevOps have years of industry experience, and learners can use it for the best learning outcomes. You can develop your skills for using Azure Kubernetes Services with a thorough command over microservices design and deployment. This Azure Devops on Deploying Microservices to Kubernetes course provides approximately 7 hours of training videos, which are segmented into modules. The course concepts are easy to understand through lab demonstrations. To test the understanding of learners, every module includes Assessments in the form of a Quiz and in-video questions. A mandatory Graded Questions Quiz is also provided at the end of every module. The important prerequisites to learn about deploying microservices to Kubernetes using Azure DevOps are as follows, -Knowledge of containers and container orchestration concepts -Awareness of DevOps tools and technologies -Basic understanding of cloud services and basic DevOps principles and tools (such as CI/CD and git). -Familiar with Bash and the Azure Command Line client and should be comfortable with a bash shell. -Knowledge of testing and networki
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