Rethinking IT operations for DevOps

DevOps adoption reshapes more than delivery pipelines—it redefines the teams behind them. Traditional operations groups, historically measured against uptime and stability and insulated from developers, must now act as collaborators across the entire software lifecycle. In practice this means dev and ops teams share ownership of both delivery speed and production reliability, a shift that touches tooling, process, and even identity within an organization.

To understand how far the role has come, it's useful to look at the pre-DevOps operating model. Developers would package an application with documentation and hand it to QA; QA would install and test, then pass it to production operations. Deployment and management fell entirely to ops, with little direct contact with developers. Handoffs like these were one-way, typically occurring only at scheduled points in a release cycle. Once code reached production, the operations team bore sole responsibility for stability, uptime, and the underlying infrastructure. Bugs meant revisiting the same assembly line—dev to QA to prod—with each team waiting on the next. This model demanded pre-existing infrastructure and carried considerable overhead.

The public cloud's effect on ops

The maturation of the public cloud over the past decade has complicated the operations mandate. Renting stable, secure infrastructure by the minute, and delivering everything as a service, has allowed organizations to ship multiple times per day. These smaller, faster cycles enable rapid feedback and automated deployments, making delivery velocity fundamental to a competitive customer experience—a capability that dependencies like pre-provisioned hardware would otherwise delay.

What velocity now demands from operations

Cloud technology has collapsed the distance between development and operations concerns. Developers now watch uptime and stability in addition to their own velocity; operations teams, in turn, have a stake in how quickly developers can ship. In concrete terms, this makes the operations role in DevOps look like:

  • Enabling self-service for developers. To support developer velocity—and curb "shadow operations," where developers improvise their own workarounds—operations teams provide on-demand access to secure, compliant tooling and environments.
  • Standardizing tooling and processes. Shared tools make self-service sustainable and help teams collaborate rather than pass work over a wall. Common processes reduce friction between developers and operations when responsibilities overlap.
  • Automating repeatable work. As operations focuses more on empowering others, traditional tasks like incident resolution, system updates, and scaling still deserve attention—but only smarter. Automating these repeatable duties drives consistency and makes results measurable across the organization.
  • Shipping like developers. With more automation, "'X' as code" becomes common practice. The code that controls operations systems must be stored, versioned, secured, and maintained just like application source code. Operations specialists increasingly adopt developer workflows, while developers in some orgs share responsibility for debugging their own code in production.

Closing the coordination gap

DevOps clearly requires close dev-ops coordination, but teams often ask how these functions are actually coordinated in practice. Many organizations target the easier piece—asking development to get to market faster while ignoring what happens to operations after deployment. The stronger approach is improving the practices of every team across the software lifecycle together. Operations aren't just the stewards of infrastructure; they're a critical part of the feedback loop for development. A small pilot that includes developers, release engineering, operations, and InfoSec can build momentum and best practices that eventually train others throughout the organization.