Docker & its Popularity in 2022

Docker is a new technology that enables development teams to build, manage, and secure apps from any location. Docker containers solve the software delivery and deployment issues that many organizations have been trying to solve for years. Since Docker emerged as the de-facto container standard, it has assumed an essential role in the containerization industry.


A Docker technology governs how system resources, such as CPU and memory, are used for a group of processes and namespaces. A namespace wraps a set of system resources and makes them appear dedicated to that particular process, thus segregating the processes so that they can run independently.


An application consists of several components: a web server, a database, and an in-memory cache. Containers are used to assemble these components into a single functional unit. Docker allows you to run multiple processes and apps independently of one another, allowing you to make better use of your infrastructure while maintaining the security of separate systems.


As DevOps adoption grows, more companies are looking into 'Microservices Architecture' to improve software quality and release it faster. Container orchestration is a proven method of applying containers – especially for scheduling, load balancing, and related tasks – as part of Amvion Labs' Managed DevOps Services.


Docker Containers are terrific hosts for microservices that are self-contained, easily deployed, and efficient. Amvions’ Container networking is supported by Docker. It allows operators to create container-specific networks without having to touch a single router. Developers and operators can create systems with complex network topologies by using configuration files to define the networks. This also serves as a safety benefit. Containers for an application can run in their own virtual network, with ingress and egress paths that are tightly controlled.


Docker Container-based software delivery can also be more efficient. These can eliminate the problems associated with configuration variance when deploying binaries or raw code.