Introduction
In this article, we will learn how to adopt a DevOps Model for your organization and achieve managed DevOps services.
What is DevOps?
DevOps is a set of cultural principles, practices, and technologies that enable an organization to deliver high-velocity applications and services at a faster rate than traditional software development and infrastructure management approaches. Businesses may better serve their customers and compete in the market because of this quickness.
How DevOps Works
In a DevOps design, development and operations teams are no longer “silos.” These two teams are occasionally united into a single team in which the engineers work across the whole application lifecycle, from development to testing to deployment and operations, and develop a varied range of skills that aren’t limited to a single position.
In some DevOps models, quality assurance and security teams may become more directly associated with development and operations, as well as throughout the application lifecycle.
These organizations use best practices to automate formerly manual and slow processes. They use a technology stack and infrastructure that allows them to operate and evolve apps quickly and reliably. These technologies also aid engineers in independently accomplishing tasks (such as deploying code or providing infrastructure) that would otherwise necessitate the support of other teams, thus enhancing a team’s velocity.
Steps to Adopt DevOps Model:
Let us learn how to adopt a DevOps model for your organization
- Continuous Integration
Continuous integration is a software development technique that involves developers regularly merging their code changes into a common repository, followed by automated builds and testing. The major goals of continuous integration are to find and resolve bugs faster, improve software quality, and reduce the time it takes to validate and deploy new software upgrades.
- Continuous Delivery
Continuous delivery is a software development approach in which code updates are automatically developed, tested, and released into production. It extends continuous integration after the build step by deploying all code changes to a testing and/or production environment. If continuous delivery is effectively implemented, developers will always have a deployment-ready build artifact that has passed through a standardized test process.
- Microservices
Microservices architecture is a means of combining multiple small services into a single application. Each service runs in its own thread and communicates with other services using a well-defined interface, which is typically an HTTP-based application programming interface (API). Microservices are built on the basis of business capabilities, with each service fulfilling a distinct purpose. Microservices can be created in a variety of frameworks or programming languages and delivered as a single service or a collection of services.
- Configuration Management
Developers and system administrators utilize code to automate tasks such as operating system and host configuration, as well as operational tasks. Because of the use of code, configuration changes are standardized and repeatable. Developers and system administrators no longer have to manually configure operating systems, system applications, or server software.
- Infrastructure as Code
Infrastructure as code is a way of delivering and managing infrastructure through the use of code and software development practices such as version control and continuous integration. The cloud’s API-driven paradigm allows developers and system administrators to interact with infrastructure programmatically and at scale, rather than manually setting up and configuring resources. As a result, developers may engage with infrastructure using code-based tools and treat infrastructure the same way they treat application code. Because infrastructure and servers are specified by code, they can be quickly deployed following standardized patterns, updated with the latest updates and versions, and reproduced in repeatable ways.
Organizations can use cloud-based infrastructure and configuration to monitor and enforce compliance in real time and at scale. As a result, code-defined infrastructure may be fully automated, tracked, validated, and updated. This makes it easier for companies to manage resource variations and ensure that security measures are executed consistently. Non-compliant resources can be flagged for further investigation or even brought back into compliance in real time, allowing teams within an organization to respond more quickly.
- Monitoring and Logging
Organizations may monitor and enforce compliance in real time and at scale using cloud-based infrastructure and configuration. As a result, code-defined infrastructure may be tracked, validated, and upgraded in a fully automated manner. Companies can better manage resource variances and guarantee that security procedures are implemented consistently as a result of this . Non-compliant resources can be highlighted for examination or even brought into conformity in real time.
- Communication and Collaboration
Increased communication and collaboration inside an organization is one of the key cultural aspects of DevOps. DevOps tooling and automation of the software delivery process foster teamwork by physically bringing development and operations processes and responsibilities together. Furthermore, by utilizing chat applications, issue or project-tracking systems, and wikis, these teams built strong cultural norms around information sharing and collaboration. By speeding up communication across developers, operations, and even other departments like marketing and sales, all aspects of the organization may align more closely on goals and projects.
Conclusion
By following the above-described process, organizations can easily adopt the DevOps model for their organizations and also achieve managed DevOps services.