Team
Feb 26, 2024
In the world of software development, the need for efficient and streamlined processes has never been greater. Enter platform engineering, an exciting discipline that optimizes software delivery, bridges the gap between development and operations teams, and empowers developers with self-service access to infrastructure and tools. But how does platform engineering differ from DevOps? Let’s embark on a journey to unravel the intricate world of platform engineering and its impact on software delivery, developer experience, and ultimately, business success.
DevOps emerged in the early 2000s as a response to the growing need for software development and IT ops teams to collaborate and communicate better.
DevOps enhances continuous value delivery and lifecycle optimization of software development, leading to improved software quality and throughput through automation and collaboration. Platform engineering binds these processes together to create a unified system, allowing developers to leverage self-service capabilities and work more independently and productively.
Continuous integration, continuous delivery, and infrastructure as code are the cornerstones of the DevOps movement. These principles not only speed up software delivery but also tackle operational complexity head-on, making it an emerging discipline critical for software engineering organizations.
Infrastructure as code, for instance, plays a vital role in the DevOps culture, automating the allocation and management of:
through a descriptive model. This approach ensures consistent and repeatable infrastructure deployments, minimizes manual errors, and enables collaboration between infrastructure and software development teams.
The DevOps principle of shared responsibility greatly impacts project outcomes by promoting a culture of collaboration and respect between development and operations teams. By working together throughout the software development lifecycle, these teams can:
This collaborative approach ultimately benefits the entire organization.
In essence, the core principles of DevOps lay the foundation for a more agile, efficient, and collaborative software engineering environment.
In the realm of DevOps, a myriad of tools and practices exist to streamline the software development lifecycle and boost developer productivity. Version control systems, CI/CD pipelines, and monitoring and logging tools are among the most commonly used solutions, helping software engineering organizations accelerate product team delivery and improve developer productivity.
CI/CD pipelines, in particular, play a crucial role in DevOps practices. They facilitate the automated integration, testing, and delivery of code changes, thereby expediting the software development life cycle. Moreover, monitoring and logging tools are essential for ensuring the reliability, performance, and security of software applications in DevOps. By providing real-time detection of problems and patterns, these tools allow teams to proactively address issues and optimize the performance of their applications.
The synergy of these DevOps tools and practices enables engineering teams to work more efficiently, ultimately leading to faster and more reliable software delivery.
Platform engineering is an extension of DevOps that zeroes in on building and maintaining internal platforms. It provides developers with self-service access to infrastructure and tools, and simplifies development workflows. Platform engineering primarily focuses on:
Adopting platform engineering gives companies a competitive edge in their industry. It allows developers to work more independently and efficiently, thereby freeing up more time for feature introduction in the product.
At its core, platform engineering focuses on several fundamental principles, such as treating the platform as a product. This approach ensures that the platform is designed and maintained to meet the needs of developers, optimizing their workflows, and ultimately improving their productivity.
Another crucial principle in platform engineering is providing a unified system for DevOps processes. By integrating and potentially restructuring the software delivery pipeline, platform engineering teams can streamline the development and deployment process, resulting in quicker time-to-market and improved software quality.
A platform engineer’s main responsibilities are:
Designing developer-friendly toolchains is an essential aspect of a platform engineer’s role. It involves establishing abstraction layers and providing reusable templates that afford developers greater flexibility in selecting their tools and processes. Abstraction layers, which create a distinction between different components and hide irrelevant details, are integral to the design of developer-friendly toolchains. By simplifying complex systems into more manageable ones, abstraction layers enable developers to concentrate on pertinent tasks and interact more effectively with the toolchain.
Reusable templates in a toolchain provide developers with numerous advantages, such as:
As a result, this solution enables developers to focus on implementing new features and functionality instead of reinventing the wheel.
Platform engineers apply Infrastructure as Code (IaC) practices to manage and define infrastructure using code. This approach enables automation of the provisioning and configuration of infrastructure resources, as well as the ability for developers to self-serve their own infrastructure needs. By automating resource allocation and implementing effective incident detection practices, platform engineers can ensure that infrastructure is scalable, secure, and compliant.
In addition to provisioning and managing infrastructure, platform engineers are responsible for establishing CI/CD pipelines and staging environments to boost developer productivity. By implementing CI/CD practices, DevOps teams can achieve continuous integration and continuous delivery, resulting in higher-quality software and faster time to market.
Platform engineering and DevOps are closely related and often work together to achieve a common goal. Platform Engineering provides internal platforms for developers, thereby enhancing DevOps. While platform engineering is distinct from DevOps, it typically forms part of a DevOps strategy, extending beyond internal development activities to enable the deployment and management of code in production.
Platform engineering, through the implementation of DevOps concepts and philosophies, provides developers with the tools to enable self service capabilities, thus enhancing software quality and simplifying complexity.
Platform engineering teams ensure the continual evolution of tools and processes by integrating automation tools and frameworks. As a result, a platform engineering team not only accelerates development but also maintains developer productivity, internal KPI attainment, and cost savings, ultimately driving business value and ensuring a competitive edge for their organizations. By working closely with platform teams, they can further enhance collaboration and efficiency among engineering teams.
Platform engineering and Site Reliability Engineering (SRE) are complementary disciplines, with SRE focusing on stable production environments and platform engineering on internal systems and assets that facilitate high-velocity development. While platform engineers are tasked with constructing and improving the internal developer platform, SREs concentrate on the systems that run applications, autonomously and dependably.
By providing the infrastructure and tools necessary for reliable and scalable systems, platform engineering facilitates Site Reliability Engineering. Platform engineers collaborate with SRE teams to supply the necessary resources and support for optimizing system uptime and performance. The exchange of information between Platform Engineering and SRE can uncover possibilities to streamline production infrastructure and internal processes, resulting in compatible approaches that can be improved upon.
Platform engineers reduce manual tasks, cognitive load, and bottlenecks which has a beneficial effect on developer productivity. Automating routine and time-consuming tasks allows developers to concentrate more on vital activities and high-value work while minimizing the possibility of human error.
Platform engineering boosts productivity across engineering teams by creating internal toolchains that improve software delivery workflows and give developers more autonomy with self-service access to infrastructure. By leveraging a product mindset in conjunction with learnings from DevOps and DevSecOps, platform engineering provides a set of tools that offer sufficient automation, tracking, governance, and observability to guide development teams towards a successful outcome.
Platform engineering is a vital discipline that optimizes software delivery, bridges the gap between development and operations teams, and empowers developers with self-service access to infrastructure and tools. By elevating productivity across engineering teams and driving business value, platform engineering ensures a competitive edge for organizations in the dynamic world of software development.