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AI and machine learning (ML) technologies are rapidly transforming business functions, including software development. In its pursuit of efficiency, the industry has gradually transitioned away from the traditional Software Development Life Cycle (SDLC) and toward an agile development environment. DevOps has become an industry standard over the last decade.

DevOps-as-a-Service (DaaS) is a cloud-based delivery model that deploys a set of tools that promote collaboration between development and IT operations teams. By leveraging DaaS, you may automate numerous DevOps activities and accelerate the delivery pipeline by employing stackable virtual development tools. DevOps as a service providers assist you in using the benefits of the cloud to ensure that your environment works smoothly and efficiently.

As with most modern technology-driven data structures, Devops service poses a dilemma for enterprises whether to construct it within your organization, taking advantage of the already substantial expenditure on IT technology, or do you transfer this to cloud providers and keep just the most basic infrastructure for your most important requirements?