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DevOps: Bringing Development and Operations Closer Together

Software development, implementation, and deployment are complicated yet critical processes for product and service-oriented organizations. With the digital boom, Software-as-a-service became a concept that held together what has now become the biggest industry this world has seen - the worldwide IT industry. Providing software as a service has a few well-documented steps, such as software development and software testing services. With the advent of this digital service sector, newer problems in operations also arose, the most common of which is the tussle between development teams, which are responsible for building the software, and operations teams, which are responsible for its deployment.

Development teams suggested changes in the core software, whereas operations teams pointed out the web server environment is the issue. Caught in this struggle, the organizations started losing business, and clients lost out on regularly updated software releases. To rid the service sector of this bottleneck, the concept of involving both development and operational engineers throughout the lifecycle of the service was introduced. This practice, called DevOps, is built on a principle of communication between the agencies for mutual benefit and offers two major features - continuous value addition, and automation.

DevOps has brought significant change in the structure of daily operations at software firms. Let’s take a look at some of the key features of the combination of development and operations as a single entity below:

Know all about the DevOps by watching a Video by Rackspace

Looking Ahead
DevOps has started off on a high, but it is certainly still a work in progress. Technologies are being developed every day to work towards a more collaborative approach to service provisions. Software testing services need to be automated to ensure that the processes being developed are tested not just independently but in connection with their parent and sub-processes in quality settings.

DevOps is still a term unclear to many in the business sector, but implementing this principle and defining roles very clearly can ensure that deadlocks in internal production processes do not arise, and the final products are available with far more efficient in terms of quality and time consumption.

Also learn about How to Perform Quality Assurance and Testing for ML Projects?

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