Applications keep getting more complicated, and the need to develop them quickly constantly evolves. As a result, Your IT team, processes, and infrastructure might be under stress. You can fix the issue and iterate more rapidly using containers- across several environments. Containers are powerful solutions to overcome these challenges and speed up your development cycles. This approach enhances efficiency and also validates that your applications are reliable and robust. In this article, we’ll discover container technologies used in DevOps that can ease the burden on your IT team, enhance scalability, and intensify your development process.
Understanding Containers In DevOps
A Container is a standard software package that contains code jointly with all its dependencies, allowing applications to run reliably and quickly from one computing ecosystem to another. A Docker Container image is a standalone, lightweight, operable software package that presents everything required to run an application: system tools, runtime, system libraries, code, and settings. In the scenario of Docker Containers, images become containers upon Docker Engine operations. Containerized software is available to support both Windows and Linux-based apps, and it will continue to work similarly regardless of the infrastructure. Containers separate software from its ecosystem and maintain uninterrupted operations despite differences.
Containers Technologies Used In DevOps
Let’s have a look at the container technologies used in DevOps:
Docker
Docker is one of the widely recognized and broadly used container platforms. It is possible to create and use Linux containers in Docker. This technology utilizes containers to streamline the development, deployment, and execution of programs. Companies like Oracle, Amazon, and Microsoft have adopted Docker. Almost all IT and Cloud organizations have implemented Docker today. As per DevOps Statistics, Docker is the most widely used container platform, adopted by more than 50% of enterprises.
rkt
The rkt competed with Docker in terms of community and supported toolsets. Rocket, usually called rkt containers, emerged from CoreOS to fix security vulnerabilities in the initial Docker version. CoreOS released the App Container Specification in 2014 to foster innovation in the container space, resulting in multiple open-source projects. RKT presents more granular control over your container- at the level of individual containers- because it doesn’t depend on a central daemon. They are used in conjunction with other technologies or in place of particular components of the Docker system.
CRI-O
CRI-O, an open-source project, implements the Kubernetes CRI to make it feasible to use runtimes compatible with the Open Container Initiative. It aims to replace Docker as Kubernetes’s container engine. It enables Kubernetes to utilize any OCI-compliant runtime as the container runtime for pod operations. Any OCI-conformant can be utilized as the container runtime.
Podman
Podman, an open-source container engine, serves the same purpose as the Docker engine. However, how they function differs. In Docker, we forfeit control over the container if the daemon crashes. However, in Podman, containers are isolated, self-sufficient ecosystems that we can administer independently from one another. Furthermore, unlike Podman, which keeps non-root access as the default, container users get root permission by default. Podman is more protected by design thanks to its isolation and user privileges characteristics.
LXC
LXC, LinuxContainers.org’s open-source project, aims to present separate application ecosystems that are similar to virtual machines but without the overhead of having their own kernel to execute. LXC runs on the Unix process model, which lacks a central daemon. So, each container acts as if it is administered by a different program rather than being handled by a single central program. LXC is distinct from Docker in multiple ways. For instance, LXC lets us run several processes, while the Docker design optimally runs a single process in each container.
runC
RunC, a universal OS container, was initially a low-level Docker component incorporated into the platform design and functioned in the background. The intent behind the release of runC was to boost container portability. RunC, which presents lightweight, high-performance, and standardized container runtime, has dramatically changed the container ecosystem.
Conclusion
As we’ve explored, all these Containers technologies used in DevOps have advantages and disadvantages. Now, you understand numerous kinds of containers so that you can select the most appropriate container for your project requirements. It's time to opt for the leading and professional DevOps Containerization Services, which can help you smooth your journey! What are you waiting for? Kickstart your DevOps ride today!
Happy Clouding!
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