Containers and Microservices influence the performance of cloud-native technologies by embracing automation capabilities and loosely coupled architecture. It is interesting to witness the growth of software development involving containers through DevOps. These containers relieve us off the concerns in deployment process. The best feature about containers is their ability to control and run applications in silos. With most of the companies depending on DevOps tools to deploy applications, you need to consider container based structure for a hassle-free process and deployment.
As you adapt to Container based architecture approach, the benefits of containers help software development cycle by
- Improving agility as manifesting containers and setting it up is quicker and easier than setting up virtual machines.
- Scaling up or down with respect to the load
- Allowing greater density within their capacity
- Becoming cloud-ready opening up to all types on cloud environment
- Controlling the rise of potential defects and fixing them quickly
- Minimizing overhead of resource to reduce cost
One can also monitor containers as you deploy applications while the operations team deals with real time analytics and hosts across the environments that define a high performance infrastructure.
It also provides environment consistency that minimizes issues during build, test and deployment phases of application. There are various offers available to containerize application aiding in scaling production and one such way is AWS containerization involving different types of containerization products like AWS ECS, EKS, etc. AWS ECS is a great fit for delivery and cross functional teams and is reliable to quick migration of apps. It is more secured, compatible and cost efficient. Containerization in Azure provides solution to maintain a stable environment that replicate quickly and simplifies the process of assigning resources and provisioning.
Considering all factors of containerization in DevOps being efficient from development through production, we have supporting tools available in its space and understand the integral part of it such as the Docker Swarm, Kubernetes and system like Data Centre operating system.
You can deploy applications in Kubernetes by making use of microservices with flat networking model enabling pods to interact with each other as per the networking policies. These pods distribution offers higher availability having high tolerance to defects and overloads. The scalability varies with respect to the distribution system despite the complex systems.
With Docker Swarm, you can deploy application in a swarm cluster while creating overlay networks and bridges for containers and services as you choose to encrypt any data traffic. Application deployment is faster, reacts better to the demands and has better availability. It supports tools running with Docker and offers more functionality.
Data center runs containers simultaneously with virtual machines and reduces operating systems to manage containerized applications. As it consists of features like UI and CLI, it becomes easy to monitor the DCOS structure and can deploy multiple containers and improve its scalability on par with demand.
Tools mentioned above play integral part in container orchestration and it is vital to know the crust of their functionality for a hassle-free deployment process of software applications. Check out our white paper for the complete story of container orchestration, service and systems related to it to give you a wider perspective of the realm of containers and how it changes the way software development evolves in today’s world, here
Latest posts by Dhanwandhi Panneerselvam (see all)
- Top business changing benefits of Cloud migration - December 8, 2020
- DevOps Automation Tools- The game changer in SDLC - November 5, 2020
- 6 simple steps to migrate from Oracle to PostgreSQL - September 18, 2020