17 Dec 2020
4 MINS READ
The development and deployment of applications have evolved over a period of time. A paradigm shift has occurred in building the applications by breaking down the functionalities into smaller microservices and designing the applications as cloud-native applications to run each service as separate unit on containers.
A container contains an operating system, package library and environment variable, etc. Thus, it is ready to deploy/port to any container-based environment. These are used as a container runtime platform for Docker, Containerd, Cri-o, etc. The App layer has packages code and dependencies . It is lightweight, portable and provides isolation and container runtime.
Fig 1: Containers versus Virtual Machines
Challenges in Container Management
Managing clusters is a bit complex, especially achieving high availability, maintaining the health of pods, zero downtime upgrades, etc. Operational complexities such as creating cluster setup, adding and removing node to cluster, etc. Also, an additional further effort will be required to ensure the monitoring and security of the clusters. The on-prem cluster setup and its maintenance costs are comparatively higher.
Container Orchestration
The container orchestration tool performs/automates multiple tasks such as managing the container, configuration of the container and application, scheduling the container, deployment to a worker node, self-healing, scaling the application container, monitoring container health and DevOps help to automation for the pipeline.
Kubernetes
Kubernetes is the de-facto standard for a container orchestration tool for provisioning and deployment of the containers. Kubernetes is a market-leading tool for container orchestration, and it is also portable as well as extensible to deploy any containerized application to any cloud. Kubernetes supports the Open Containers Initiative (OCI) runtime standard for container runtime platforms.
Kubernetes cluster deployment is a bit complex compared to the usual way of monolithic deployment. Container orchestration is not recommended for a non-scalable, simple application with minimal container deployment; it may increase the complexities during application deployment.
Azure has developed a top-of-the-line Kubernetes orchestration platform, the Azure Kubernetes Service; it is well-integrated with Azure services (PaaS/IaaS) and DevOps services. The developer focuses mainly on the development of applications, not on cluster management activities. AKS would decrease the number of administrative tasks for cluster management.
Here, we will cover the major features included in Azure Kubernetes Service, which will help you in terms of scalability, performance, security, governance etc., during container deployment and management.
Managed AKS:
Networking:
Storage:
Scalability:
Hybrid Cloud:
Azure DevOps:
Security:
Cost:
Availability:
Governance:
Fig 2: A reference implementation of AKS architecture
AKS is the best option for deploying a cloud-ready and microservice-based cloud-native application. It also supports the containerization of monolithic applications.
AmazeTM for Applications is a highly customizable cloud replatforming product primarily designed for Java and C# applications, which enables application transformation to cloud seamlessly without any changes to your application’s existing business functionality. It can decisively review your existing workloads, perform code changes to remove and change code inhibitors for containerization, de-couples application, and then re-platform your application servers and databases by utilizing maximum automation to save upon manual efforts. Below are the business benefits it can deliver within 4-6 weeks along with scalability and ‘future-ready flexibility’ while saving on excessive costs, maintenance-time and upgrades.
AmazeTM for Applications completely supports the deployment of containerized applications to AKS. It also provides fast macroservice creation for enterprise-grade applications and enable the DevOps to AKS cluster. Thus, AKS is a cost-effective solution for container-based deployment.
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About the Author
Sivakumar Pandiyan works as Senior Technical Architect with Hexaware’s ATM Amaze™ Practice. As a technology evangelist, he is responsible for formulating automation strategies and identifying technology solutions to undertake business challenges. His areas of expertise include architecting Azure and AWS solutions, application modernization, automation, microservice development, and deployment.
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