DevOps as a Service Operations Transition and Design

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DevOps as a Service


What is DevOps?

In DevOps as a Service Operations Transition and Design, The term DevOps splits into Dev, and Ops. Dev defines as Development and Ops define as Operations, and In DevOps practice, and the basic methodology is to create a connectivity link between various development regions and Infrastructure operations. Generally, on the basis of the C-C-I principles that are very important to drive, deliver, and foster IT service operations, and DevOps service follows ITIL (Information Technology Infrastructure Language) framework.

What Problems Led to the Creation of DevOps?

Developers and system administrators don’t always see eye to eye on a lot of things, but they do agree that their customers on the business side of the house frequently pull them in different directions. On the one hand, business users demand change—new features, new services, new revenue streams—as fast as possible. At the same time, they also want a system that is stable and free from outages and interruptions. That creates a problem where companies feel like they have to choose between delivering changes quickly and dealing with an unstable production environment, or maintaining a stable but stale environment.

DevOps practices

DevOps practices reflect the idea of continuous improvement and automation. Many practices focus on one or more development cycle phases. These practices include:

Continuous development

This practice spans the planning and coding phases of the DevOps lifecycle. Version-control mechanisms might be involved.

Continuous testing

This practice incorporates automated, prescheduled, continued code tests as application code is being written or updated. Such tests can speed the delivery of code to production.

Continuous Integration and Delivery

This practice brings configuration management (CM) tools together with other test and development tools to track how much of the code being developed is ready for production. It involves rapid feedback between testing and development to quickly identify and resolve code issues.

This practice automates the delivery of code changes, after testing, to a preproduction or staging environment. An staff member might then decide to promote such code changes into production.

Continuous deployment (CD)

Similar to continuous delivery, this practice automates the release of new or changed code into production. A company doing continuous deployment might release code or feature changes several times per day. The use of container technologies, such as Docker and Kubernetes, can enable continuous deployment by helping to maintain consistency of the code across different deployment platforms and environments.

Continuous monitoring

This practice involves ongoing monitoring of both the code in operation and the underlying infrastructure that supports it. A feedback loop that reports on bugs or issues then makes its way back to development.

Infrastructure as Code

Developers add infrastructure “code” from within their existing development tools. For example, developers might create a storage volume on demand from Docker, Kubernetes, or OpenShift. This practice also allows operations teams to monitor environment configurations, track changes, and simplify the rollback of configurations.

How is Infrastructure as Code implemented using AWS

Infrastructure as code, or programmable infrastructure, means writing code to manage configurations and automate provisioning of infrastructure in addition to deployments.

How is DevOps different from agile methodology?

DevOps is a culture that allows the development and the operations team to work together. This results in continuous development, testing, integration deployment, and monitoring of the software throughout the lifecycle.

What is Service Operations?

Service Operations are used to underline the processes and their activities and As per the customer’s need, this technology is used to deliver services at various levels by collecting information from various performance and service metrics.

How will you approach a project that needs to implement

Stage 1

 An assessment of the existing process and implementation for about two to three weeks to identify areas of improvement so that the team can create a road map for the implementation.

Stage 2

Create a proof of concept (PoC), Once it is accepted and approved, the team can start on the actual implementation and roll-out of the project plan.

Stage 3

The project is now ready for implementing DevOps by using version control/ integration/testing/deployment/delivery and monitoring followed step by step.
By following the proper steps for version control, integration, testing, deployment, delivery, and monitoring, the project is now ready for DevOps implementation.