Platform engineering vs. DevOps

DevOps is an approach to software development that organizations use to combine development and IT operations functions into iterative workflows. Platform engineering is more about creating the internal platforms and tools that support those workflows. Both platform engineering and DevOps are IT practices that use agile software development methodologies to reduce time to release and mitigate barriers to development, but each practice comes up at a different time and focuses on a different set of problems. Understanding the differences can help you choose an approach that supports your goals.

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DevOps combines 2 areas—development and operations—using tools and processes to bring together teams that have traditionally been isolated from one another within organizations. DevOps uses agile principles—a development methodology that relies on self-managed teams and rapid iteration. Because its implementation requires collaboration between teams, cross-functionality, and building trust and cohesion, DevOps is generally understood as requiring organizational change rather than a simple change in process. The culture of the organization needs to shift to make DevOps possible.

DevOps and agile arose in response to critiques of traditional waterfall software development methods, particularly that waterfall development slows innovation and creates organizational barriers and bottlenecks. In a waterfall system, code requirements are tested for functionality, efficiency, standardization, and documentation before being integrated into an application. Testing these aspects in advance can result in a long process queue that makes it harder for projects to be executed in scope, on time, and on budget, especially when projects are unclear or in flux.

DevOps, on the other hand, uses automation and cyclical processes that allow development teams to move software from development to production quickly and then continuously improve software while in production. DevOps requires closer communication and collaboration among teams through practices that promote shared expertise, and these practices mean product improvements can be integrated and developed in iterations rather than executed in advance with slower release times. Organizations that implement DevOps can improve software systematically over time so teams can adjust to change and try new approaches in ways traditional development models often prevent.

Platform engineering extends DevOps practices by providing standardized tools, services, and workflows so development teams can build software solutions more efficiently. Platform engineering is a newer term that describes a practice of organizing internal services and resources so development teams can build solutions without having to manage those underlying elements directly. Platform engineers curate and maintain the various tools, services, and documentation that development teams need so everyone in the IT organization can get their work done more efficiently without having to be entirely self-sufficient, using automated processes known as Golden Paths. Platform engineering has grown as DevOps has become more widely adopted because platform engineering provides the underlying components that support DevOps workflows and help it scale in enterprise organizations.

In a self-service model, development teams are inundated with various technologies that are needed for their daily tasks. Navigating toolsets can be cumbersome, reduce efficiency, and increase the cognitive burden on teams. Onboarding challenges also arise—integrating new members efficiently becomes harder as new hires grapple with many tools and systems, senior team members who have to assist get sidetracked from their primary tasks, and productivity is lost. Platform engineering aims to support DevOps workflows by easing these burdens so the IT organization can focus on innovation while platform engineers centralize best practices and self-service experiences for them.

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Platform engineering helps DevOps scale because DevOps teams don’t have to do everything on their own. Platform engineering helps establish a set of standardized tools, knowledge, services, and processes that can serve many development teams across the organization. With curated platforms, development teams can build, deploy, own, and support their components while the platform team builds, deploys, owns, and supports the platform components. This allows both teams to focus their efforts and deliver more quickly. Platform teams provide X-as-a-service so DevOps teams don’t have to create everything ad-hoc.

If platform teams are delivering components for development teams, it may seem like platform engineering has potential to create the same problems and internal dependencies that DevOps originally tried to mitigate. If the applications team is waiting for the platform team to provide what they need, won’t there be bottlenecks in the process?

That’s possible in theory, but platform teams also have potential to reduce redundancy and duplicated efforts—which can waste time for the broader organization. Multiple development teams can use one self-service platform instead of each of those teams creating their own platform with the same functionality. This keeps things consistent over time, even when the existing development team is no longer in charge of the current project. Additionally, these platform teams are treating the development teams as customers, and they know that if they don’t meet their target users’ needs, those internal customers will use another kind of infrastructure or deployment mechanism, so there is incentive to deliver quickly. Best practices and established solutions can be contributed to the platform, and teams can share knowledge more effectively.

Platform engineering may sound familiar to those familiar with site reliability engineering (SRE). SRE is a term that Google introduced into the industry to describe systems that run products with automation—as an alternative to manual work that would traditionally be executed by systems administrators. SRE handles the underlying infrastructure, and SRE teams develop process and automation to ensure infrastructure integrity and maintain uptime. SRE practitioners and platform engineers share goals but while SRE focuses on software performance, reliability, and scale, platform engineering focuses on systems targeted at enhancing the developer experience.

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Teams commonly use platform engineering to create their own internal development platforms (IDPs), tools, services, and documentation in a self-service portal. Platform engineers can design and deliver an IDP that is based on user needs and best practices, and iterate on it through user research and testing. With development teams as their target users, platform engineers can deliver IDPs that enable developer self-service and help developer teams lower their cognitive load.

Organizations looking to establish continuous integration and continuous delivery (CI/CD) in the software development lifecycle need to adopt DevOps practices. CI/CD automates code testing and building, which minimizes the impact of bugs and code failures because the software development and update cycle is integrated continuously. Integrating and automating CI/CD pipelines throughout the software development lifecycle gives organizations the visibility they need to build high quality platforms and deliver applications faster.

DevOps and Platform Engineering are distinct but complementary approaches to optimizing software development and deployment. While each strives to accelerate release velocity and maintain system stability, they differ significantly in their execution. DevOps is a collaborative culture and methodology. Platform Engineering operates as a product-driven discipline that builds the foundational tools to enable that culture to scale across an entire organization.

Within this ecosystem, a DevOps engineer focuses on bridging the traditional gap between development teams and IT operations. Their primary responsibility involves automating build, test, and deployment processes by designing and maintaining CI/CD pipelines. To ensure consistency across environments, they heavily utilize infrastructure as code to provision infrastructure and platforms automatically rather than configuring servers manually. This role relies on a mindset of continuous improvement, constantly analyzing deployment pipelines for bottlenecks. Furthermore, DevOps engineers often collaborate closely with a site reliability engineer to balance the rapid pace of feature releases with strict system uptime and reliability targets.

A platform engineer approaches infrastructure from a product focus, aiming to reduce the cognitive load placed on software developers as cloud environments grow increasingly complex. The central responsibility of a platform engineer is building and maintaining an internal developer platform (IDP) which serves as a self-service portal where developers can independently provision environments, databases, and pipelines. In doing so, they standardize system access controls and security compliance into the platform templates. Platform engineers transform high-level blueprints into reusable, Golden Paths that abstract away the underlying complexities of cloud networking and container orchestration, allowing developers to focus solely on writing application code.

In enterprise environments, security and compliance must be woven directly into daily deployment practices. While traditional DevOps models heavily emphasize a "shift left" philosophy—addressing security through automated testing and continuous integration in the development phase—this can dramatically increase developers’ cognitive load. To mitigate this burden, platform engineering can design compliant and secure platforms from the start. 

By embedding security and compliance policies into automation tools and standardized CI/CD practices, platform engineering abstracts away regulatory complexity. This approach ensures that developers build upon a secure and scalable infrastructure without needing to be compliance experts themselves.

In addition, integrating robust risk management across cloud platforms requires a unified approach to infrastructure as code and containerization. DevOps teams leverage these methodologies to accelerate software delivery while platform engineers maintain the underlying, governance-backed systems. This collaboration ensures that a drift away from organizational requirements is instantly flagged. By shifting the responsibility of building scalable and secure systems toward a centralized platform strategy, organizations can simultaneously accelerate their release velocity while maintaining an uncompromised posture against regulatory and operational risks.

Red Hat® products and services work together to support developer productivity and provide the flexibility enterprises need to increase team productivity while increasing self-service, accelerating onboarding, and reducing repetitive tasking across teams.

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