A container is a unit of lightweight, executable software that packages application code and its dependencies in a standardized way. This packaging allows a container to be moved between computing environments without affecting performance.
Container platforms consist of software that packages apps and services into self-contained applications that improve portability and allow DevOps teams to launch, update, or scale individual components quickly and reliably. The concept of containerization is essential to the microservices architectural approach. Container orchestration entails the management of the lifecycles of containers, especially in large dynamic environments.
The following platforms allow someone else to manage Kubernetes for you.
Amazon EKS abstracts the management, scaling, and security of your Kubernetes cluster so you can focus on your applications and microservices.
AKS is Azure's Kubernetes management solution. AKS lets you secure your clusters with Azure's Active Directory and deploy applications across Azure's data center offerings worldwide.
Google has a lot of experience running Kubernetes-based containers in production. Kubernetes Engine runs on Google's network and uses routine health checks in high-availability configurations. It is also capable of autoscaling to meet the demand on your applications.
An agile approach to virtualization, containers let teams run emulated machines and operating systems on one computer. Hypervisors, which are software layers, keep them separate. Containers package code, dependencies, and operating systems in a small piece of software, eliminating the need for a virtual machine.
Containers are a critical element of cloud environments, particularly in the following capacities:
The agile, lightweight nature of containers makes them ideal for microservice architecture, which is based on loosely coupled services that function independently while working together.
Containers are a valuable DevOps tool, since they facilitate microservices and allow for more agility, collaboration, and scalability.
Integrate Docker monitoring as part of your CI/CD pipeline to facilitate continuous delivery efforts in highly distributed environments.
The stability and portability of containers reduces the risks associated with modernizing applications via cloud migration.