DevOps Support vs. Traditional IT Support: The Ultimate Difference

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In the simplest terms, DevOps is a culture that brings together developers and operations/support staff. This can mean cooperating, bridging the gap, or even full integration. That’s in contrast to traditional IT set-ups that keep the two completely separate. Promoters of the DevOps support approach argue that it can cut costs, reduce risks, and make an IT operation more responsive.

What is DevOps?

Some of the more heated debates over DevOps stem from differing definitions of the term and associated concepts. You’ll occasionally see “DevOps” used to refer to a specific development operations team or department that exists alongside a traditional IT department. It’s up to every company to define their own structure and departments, but this situation isn’t the one that DevOps supporters are talking about.

DevOps as a concept is a counter to the traditional IT support philosophy. That’s where an organization has a dedicated development team responsible for producing software, systems, and solutions. A separate IT business operations team is responsible for keeping things running: managing networks, fixing bugs, maintaining hardware, and dealing with any software problems.

In contrast, DevOps brings these two together. How this works administratively isn’t as important as the principle that development and operations work closely together for best results, and apply the best practices of continuous integration and continuous delivery (ci cd).

Organizational Matters

Most commonly, traditional IT setups involve department or teams based on a particular activity, be that software development, configuration management, testing, implementation, support or maintenance.

DevOps allows for a merged department that brings together the people who possess these various skills; the communed team is now united by a specific project such as developing an application.

May interest you: DevOps as a Service.

Development Style

The traditional set-up is more likely to have a new application go through a lengthy development process, passing through different departments in sequence. It’s designed to finish with a “complete” release that’s as near to perfect as possible.

DevOps is more suited to a faster, more agile development process with more frequent releases. The logic is that although bug fixes or feature improvements may be needed more often, DevOps teams can cope with incident management more quickly. Indeed, there’s more scope for holding back a new feature to test it fully, without delaying the entire project.

Opinov8 is a Top Software Development Company, accordingly to Clutch.

The DevOps Mindset

The way departments think and operate under different set-ups is something of a subjective point. DevOps supporters criticize traditional IT operations as being too driven by a desire to minimize the risk of failure and too defined by a culture where individual staff or teams concentrate solely on achieving their specific siloed tasks.

In contrast, the argument goes that the DevOps approach accepts that failures will happen and that it’s best if they happen early and on a smaller scale, so the damage is limited, and the fixes are more viable. DevOps can also mean people performing different tasks will pay more attention to the overall success of a project rather than only caring about their specific responsibilities.

Staying Current with DevOps Support

Companies that adopt DevOps principles report an average of 45% higher customer satisfaction, 43% higher employee productivity, 41% improvement on defect rates, and 38% less IT-related costs. To keep your understanding of DevOps relevant, stay updated with the latest trends and statistics related to DevOps support.

  • Shift-Left Testing: Test earlier in the development cycle to find and fix issues sooner. This improves quality and reduces time to market.
  • Infrastructure as Code (IaC): Use code to manage and set up computing resources. This makes things more consistent and speeds up deployment.
  • AI and Automation: Use AI and machine learning to automate repetitive tasks, predict issues, and improve performance in DevOps environments.
  • DevSecOps: Integrate security practices within the DevOps process, ensuring continuous security considerations.
  • Microservices Architecture: Break applications into smaller, manageable microservices for more flexible and scalable development and deployment.

Do you need help with DevOps Support Services? Contact us

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