What is platform engineering?
Platform engineering involves developing and maintaining a foundational software layer that supports application development and operations. This discipline aims to create an integrated environment where developers can build, test, and deploy applications more efficiently. By implementing internal platforms, platform engineers enable teams to focus on application development rather than infrastructure management, enhancing productivity and reducing time to market.
The primary tasks in platform engineering include automating repetitive processes, managing system integrations, and ensuring reliable performance across workloads. These engineers often collaborate with various teams to develop solutions that address specific operational needs, ensuring scalability and flexibility. Through optimization and strategic deployment, platform engineering contributes significantly to the delivery and operation of software applications.
This is part of a series of articles about developer experience.
What is DevOps?
DevOps is a collaborative framework that integrates software development and IT operations to accelerate the delivery of applications. This approach fosters communication among developers, operators, and other stakeholders, aligning objectives across the software lifecycle. By leveraging automated processes such as Continuous Integration/Continuous Deployment (CI/CD), DevOps aims to enhance efficiency, minimize bugs, and ensure rapid delivery.
Key components of DevOps include testing practices, infrastructure as code, and monitoring tools. These aspects ensure that development cycles are more predictable and transparent, allowing teams to respond swiftly to changing demands. DevOps promotes cultural and professional shifts, breaking down traditional silos to create a unified environment where teams strive for common goals.
Taking a broader view of software delivery
Focusing only on roles or practices like DevOps or platform engineering can miss the larger picture of what makes software delivery effective. The DORA (DevOps Research and Assessment) research provides a more comprehensive view by identifying core capabilities that consistently improve software delivery and organizational performance.
These capabilities include Continuous Delivery, team autonomy, trunk-based development, loosely coupled architecture, and a healthy engineering culture. Organizations that develop these capabilities tend to release software faster, with fewer failures, and recover more quickly from incidents, regardless of the specific names they use for their teams or processes.
This broader perspective allows teams to focus less on conforming to labels and more on outcomes. It emphasizes evaluating what actually improves flow, stability, and quality in a given context. Whether a team calls its work DevOps, SRE, or platform engineering is secondary to whether it delivers value effectively and sustainably.
Similarities between platform engineering and DevOps
Platform engineering and DevOps share a common goal of improving software delivery processes through automation, collaboration, and efficiency. Both practices emphasize reducing friction in the development lifecycle, enabling faster and more reliable application delivery.
Automation is a core tenet in both approaches, with shared reliance on tools like Terraform for infrastructure as code and Kubernetes for container orchestration. By leveraging such technologies, both disciplines strive to create repeatable and scalable systems.
Another similarity is their focus on empowering development teams. Platform engineering provides environments and tools, while DevOps fosters shared responsibility and continuous feedback to enhance team productivity. In both cases, developers are supported in focusing on innovation rather than operational concerns.
Finally, both disciplines promote a culture of collaboration, whether through direct integration of teams in DevOps or cross-functional communication in platform engineering. These practices aim to align technical and business objectives, ensuring a cohesive approach to software development and delivery.
Key differences between platform engineering and DevOps
1. Focus and objectives
Platform engineering emphasizes building internal systems to enhance developer productivity, while DevOps focuses on merging development and operations for streamlined software delivery. Platform engineering aims to create stable, scalable environments that simplify application deployment, whereas DevOps targets process integration and continuous improvement to speed up release cycles. The objectives of each approach drive their specific methodologies and influence team workflows.
While platform engineering might focus primarily on infrastructure, ensuring consistency and reliability, DevOps promotes continuous collaboration and iterative workflows among teams. The goals drive distinct processes; platform engineering crafts an optimal developer experience while DevOps enhances software quality and deployment speed. Understanding these focus areas is crucial for organizations aiming to implement these strategies effectively.
2. Team structure and collaboration
In platform engineering, teams often consist of specialized engineers who design, build, and support the platform, working in tandem with development teams. These groups prioritize creating a user experience within the platform, aiming to minimize difficulties developers might face. Conversely, DevOps teams integrate developers with operations professionals to deliver applications faster and more reliably.
Collaboration practices differ significantly between the two; platform engineers typically provide tools and environments, freeing developers to innovate without concern for infrastructure issues. Meanwhile, DevOps emphasizes close-knit team collaboration across the application lifecycle, with shared responsibilities for outcomes. This integration fosters a culture of accountability and ensures consistent delivery standards.
3. Tools and technologies used
Platform engineering relies on technologies and tools that streamline automation, resource management, and integration, focusing on resilience and scalability. Common tools might include Kubernetes for orchestration, Terraform for infrastructure as code, and monitoring solutions like Prometheus. These provide a foundation for developing complex applications without worrying about underlying complexities.
DevOps uses a range of CI/CD and deployment automation tools like Octopus, GitLab, or Jenkins, as well as automated testing solutions to ensure rapid iteration and deployment. Configuration management tools such as Ansible and Terraform play roles here too but primarily to support operations flexibility and code deployment. The alignment of tools between these practices ensures efficient, automated workflows that contribute to higher quality software.
4. Impact on development workflow
Platform engineering directly affects development workflows by providing environments that streamline and automate routine tasks. This impact reduces the time developers spend on non-application-centric activities, allowing them to focus more on writing and refining code. Improved environments lead to consistent performance, fostering innovative approaches within constrained timelines.
DevOps shifts development workflows by embedding continuous feedback loops, promoting quick adaptation to changes, and enhancing cross-functional collaboration. It establishes a rhythm of consistent, iterative progress rather than periodic, large-scale deployments, thereby improving overall application stability. The combination of these approaches ensures rapid response to evolving technical and business requirements.
Related content: Read our guide to developer platform
Combining platform engineering and DevOps practices for improved software delivery performance
While platform engineering and DevOps serve different purposes, they complement each other when applied together. Platform engineering creates the infrastructure and internal tooling that supports rapid, safe, and repeatable deployments. DevOps leverages this foundation to drive faster iteration, tighter feedback loops, and better alignment across development and operations.
In practice, platform engineering can be seen as enabling DevOps at scale. By standardizing environments, automating infrastructure provisioning, and exposing self-service capabilities, platform teams remove bottlenecks that often slow down delivery. This lets DevOps teams focus on optimizing release processes, improving observability, and strengthening team collaboration.
Combining both approaches allows organizations to balance stability with speed. Platform engineers ensure consistency, reliability, and compliance through reusable infrastructure patterns, while DevOps practices ensure that changes move smoothly from code to production. The result is a development ecosystem where teams deliver more value with less friction, and where operational concerns are baked into the platform rather than handled reactively.
Integrating platform engineering and DevOps for enhanced application security
Integrating platform engineering and DevOps enhances application security by embedding security practices into every stage of the development lifecycle. This integration leverages the strengths of both disciplines to create a secure-by-design approach, ensuring that security considerations are automated, scalable, and embedded within the development pipeline.
Here are the key ways platform engineering and DevOps can support application security:
- Vulnerability scanning: Automate vulnerability scanning, access control, and compliance checks using platform engineering tools integrated into the infrastructure.
- Pipeline security checks: Leverage DevOps CI/CD pipelines to perform automated security checks during development and deployment.
- Secure environments: Provide secure, pre-configured environments through platform engineering to enable developers to build securely.
- DevSecOps collaboration: Foster collaboration between developers, operators, and security teams using DevOps practices to address vulnerabilities early.
- Compliance controls and validation: Embed compliance controls in platform engineering to ensure regulatory standards are met consistently. Use DevOps pipelines to automate compliance validation, reducing manual errors and ensuring policy adherence.
This integrated approach allows organizations to address security challenges proactively while maintaining agility and scalability in their software development processes.
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