The following is a fair statement about DevOps: “The goal of DevOps is not just to increase the rate of change but to successfully deploy features into production without causing chaos and disrupting other services”
This is True Statement.
DevOps is the practice of combining the philosophies and tools of software development (Dev) and software operation (Ops). The term was first introduced during the 2008 Agile Toronto conference by developers and technologists Patrick Debois and Andrew Shafer. Yet, as with many relatively new technological terms thrown around the industry, it can be difficult to pin down exactly what DevOps is and how its functions are commonly put into practice.
Below are the Goals of DevOps
DevOps can largely be thought of as a software development methodology, similar to other techniques like the Agile model. For better or worse, there is no ultimate manifesto that explicitly defines and describes a DevOps model. Instead, DevOps is a somewhat abstract concept that focuses on a few key principles that we’ll look at below.
Your application, development process, and release capabilities need to remain extremely fast in order to better adapt to customer needs, changes in the market, and new business goals. DevOps attempts to keep things moving along rapidly, so you can maintain that constant pressure necessary for modern development, including rapid releases. Practices like continuous delivery and continuous integration make it possible to keep that speed up throughout the development and operations stages of your project.
DevOps also heavily focuses on creating applications and infrastructure platforms that quickly and easily scale with the ever-changing demands of your users or your business needs. Ideally, such scaling processes should be automated and reliable, giving your software the ability to adapt on-the-fly when a sudden marketing effort goes viral or a big new feature is released.
Practices like infrastructure as code are becoming evermore popular, which emphasizes the importance of provisioning and managing infrastructure components using code and other development techniques. The goal is to allow administrators, and even developers, to quickly and easily propagate new hardware and services on a whim using programmatic, simple-to-use cloud-based APIs — a dramatic improvement over the traditional console-based deployment and setup practices of the past.
By implementing these scaling practices, DevOps aims to improve the creation of all development, testing, staging, and production environments, and makes the process efficient and easily repeatable.
Continuous integration and continuous delivery techniques also improve the overall stability and reliability of your software and platform. This ensures that user experiences are as optimal as possible while allowing you and your team to rest easy, knowing your application is as robust as it can be at every stage throughout the software development life cycle. Integrating automated testing suites and powerful exception handling software helps your team identify problems immediately, so they are alerted of any unforeseen issues right away.
DevOps also aims to increase the pace and frequency of new releases, allowing you and your team to improve your software as often as possible. Similar to the benefits brought about from and increase in overall speed, performing frequent, fast-paced releases ensures that the turnaround time on any given bug fix or new feature release is as short as possible, providing a maximum benefit to your users. Moreover, a quick delivery turnaround makes it easier for the development and quality assurance teams to easily identify problematic issues right away, giving those teams the best chance at reducing development and testing costs. The common practices of continuous integration and continuous delivery are paramount for meeting the rapid delivery needs of most DevOps models.
The goal of DevOps is not just to increase the rate of change but to successfully deploy features into production without causing chaos and disrupting other services
DevOps encourages strong security practices by automating compliance policies, simplifying configuration processes, and introducing detailed security controls. Infrastructure as code practices improve security by largely removing the human element when provisioning new hardware and services. Since additional scaling should be largely automated and handled by code APIs within the cloud, creating new infrastructure that matches existing configurations is a breeze and far less error-prone.