This article is based on a piece originally published at SD Times.
The rate of change in business has accelerated dramatically over the past two decades. Ideas are born, markets are created, and business models are disrupted at a pace that demands equally fast responses from IT. Organizations that cannot keep up risk being left behind—and that pressure falls squarely on development and operations teams.
At the same time, most enterprises have made significant investments in existing infrastructure that underpins their most critical revenue-generating systems. Deploying new applications without disrupting those systems is nearly impossible unless development and operations teams work in genuine lockstep.
DevOps addresses this challenge by shrinking the gap between a business request and a production result—through continuous development, testing, and delivery. But getting there requires deliberate infrastructure decisions. Here are three foundational steps every enterprise should take to give their DevOps teams the best chance of success.
1. Roll Out a Hybrid Cloud Strategy
Public cloud infrastructure is quick to provision and easy to experiment with, but it is rarely sufficient on its own for enterprise DevOps. A hybrid approach—combining public and private cloud environments—gives teams the best of both worlds.
- Public cloud environments enable fast experimentation. Teams can spin up environments, test ideas, and discard failures quickly without heavy capital expenditure.
- Private cloud environments provide the control, compliance, and cost efficiency needed for production workloads and sensitive data.
The key is selecting a cloud strategy and vendor ecosystem that can manage both public and private instances through a unified control plane. This lets DevOps teams iterate rapidly in public environments while promoting stable, tested changes to secure private infrastructure—without treating the two as entirely separate concerns.
2. Ensure Your Platforms Support Modern Technologies
A DevOps team is only as effective as the infrastructure it runs on. If your servers and platforms cannot support the tools your engineers want to use, you will create friction at every step of the development lifecycle.
Modern DevOps workloads increasingly depend on distributed data platforms such as Hadoop and MongoDB running alongside traditional enterprise applications. Your infrastructure must support these workloads without requiring teams to maintain separate, siloed environments for each.
As teams begin exploring machine learning and artificial intelligence use cases, hardware considerations become equally important. Workloads that leverage GPU acceleration, for example, require platform support that older server generations cannot provide. Choosing infrastructure that is forward-compatible with emerging compute requirements protects your investment and keeps your teams unblocked.
Practical checklist for platform readiness:
- Confirm that your private cloud or on-premises servers support containerization platforms such as Docker and Kubernetes.
- Verify support for the data infrastructure your teams rely on (e.g., distributed databases, object storage).
- Evaluate GPU availability if AI or ML workloads are on the roadmap.
- Ensure your hardware and OS lifecycle keeps pace with the software your developers depend on.
3. Automate Repetitive Work and Build Collaboration Into Your Toolchain
Agility is the defining quality of effective DevOps, and automation is the engine that makes agility sustainable. Manual, repetitive processes are not just slow—they introduce inconsistency and erode team morale. Automating them frees engineers to focus on higher-value problem solving.
Infrastructure-as-code tools such as Puppet and Chef (and more recently, Ansible and Terraform) allow teams to codify system configuration and provisioning. This means environments can be created repeatably, version-controlled alongside application code, and rebuilt from scratch when needed—eliminating the "works on my machine" problem.
However, automation tools are only as effective as the architecture they sit on. If the underlying cloud infrastructure or development environments cannot integrate with your CI/CD pipeline and configuration management toolchain, automation gains are limited. When evaluating your stack, prioritise:
- CI/CD pipeline integration: Your cloud and server environments should connect natively or via well-supported plugins with pipeline tools like Jenkins, GitLab CI, or GitHub Actions.
- Shared observability: Dev and ops teams should have access to the same monitoring and logging data so they can collaborate on issues rather than finger-pointing across organisational boundaries.
- Self-service provisioning: Developers should be able to provision test environments without filing tickets—reducing wait times and increasing experimentation velocity.
The Bottom Line
DevOps is not a passing trend. Enterprises that invest in the right infrastructure—a coherent hybrid cloud strategy, platforms that support modern and emerging technologies, and a toolchain built around automation and collaboration—put their teams in a position to deliver faster, more reliably, and with greater confidence.
Cultural change matters enormously in any DevOps transformation. But culture without the right technology foundation creates enthusiasm without execution. Get the infrastructure right, and the cultural and process improvements have somewhere solid to stand.