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Platform Engineering

How is Platform Engineering Different from DevOps and SRE?

Navdeep Singh Gill | 13 September 2024

How is Platform Engineering Different from DevOps and SRE?
9:06
How is Platform Engineering different from DevOps and SRE

Introduction of Platform Engineering

An essential part of the platform engineering journey is helping developers understand the infrastructure and roles of SRE and DevOps without necessarily requiring them to do the work alone.
Platform Engineering is the next stage of development. Like DevOps, it allows developers to self-service, and SRE reduces errors and increases reliability.
The SRE team provides the infrastructure for reliable applications, while the Platform Engineering team provides the infrastructure for rapid application development. Both teams unlock the productivity of application development teams.

Platform engineers keep track of the whole lifespan of a software development process, from conception to production. Platform engineers provide procedures to assist software developers in swiftly coding and deploying applications as part of this process.

Understanding Platform Engineering

  • Modern Approach: Platform engineering revolutionizes utility delivery and accelerates business value creation through advanced toolchains and workflows.

  • Self-Service Platforms: Creates "in-house development platforms" that cover operational needs throughout the entire application lifecycle.

  • Enhanced Developer Productivity: Provides self-service infrastructure operations to improve developer efficiency and experience.

  • Techniques and Tools: Utilizes infrastructure as code and various tools to streamline software development and expedite code deployment.

  • Continuous Testing: Integrates continuous testing throughout the Software Development Lifecycle for efficient software delivery.

  • Workflow Integration: Combines source control systems with continuous integration and external components for smooth production processes.

  • Digital Transformation: Supports modernization of enterprise software delivery, addressing developer needs with technical platforms.

  • Resource Reuse: Enables developers to reuse resources and communicate with complex infrastructure, streamlining development.

Platform Engineering vs. DevOps

  • Platform engineering is the next stage of DevOps development. It includes the best intentions of the cultural changes that preceded it.

  • Platform engineering is a DevOps methodology in which organizations create a collaborative platform that enhances the developer's experience and boosts productivity throughout the organization by offering self-service operations.

  • DevOps leverages various tools to optimize the deployment, management, and monitoring processes through automation and visualization. On the other hand, platform engineering transforms these tools, processes, and best practices into reusable tools and services. These resources are made available to different engineering teams and can be applied to various use cases within the organization.

Platform Engineering vs. SRE

  • Platform engineering speeds up the software delivery process. Platform engineers ensure that application development teams work efficiently in every aspect of the software delivery lifecycle, whereas Site reliability engineering applies software engineering principles to improve reliability. Site reliability minimizes the frequency and impact of outages that can impact the overall reliability of cloud applications.

  • Site reliability engineering is like a fusion of software and operations engineering. This leads to applying software engineering principles to the construction and maintenance of system infrastructure. Platform engineering enables developers to ship code faster by using growing and preserving automation systems that may always be leveraged throughout the organization. SRE is a foundation or "lower level" process, while Platform Engineering is a higher level process that provides some service to the development team.

  • Site Reliability Engineering and Platform Engineering are crucial for developing cloud-native applications.

Platform Engineering vs. DevOps vs. SRE

  • The primary goal of SRE engineers is maximum application reliability. The primary goal of platform engineers is to optimize the speed and efficiency of software delivery operations. The main goal of DevOps engineers is to optimize the development process.

  • The scope of platform engineering related to software distribution activities. SRE's reach ensures application reliability, incident response, and infrastructure management. DevOps' goal is to reduce the time between releases and improve release quality.

  • SRE uses chaos engineering, SLO management, automated incident response, and more. Platform engineers use tools such as source code managers and CI/CD servers to automate software distribution. DevOps uses tools to build, monitor, test, automate, and containerize applications.

platform engineering vs devops vs sre

SRE vs DevOps | What's the Difference

Why is Platform Engineering essential?

Platform Engineering provides continuous visibility into services and their owners. This powerful visualization allows SREs, operations, and product teams to view each service's digital footprint. Connecting affected teams and individuals faster reduces incident resolution time and, with the right integrations, gives engineering teams end-to-end solution ownership.
For self-service and automation, end users want platform engineering tools that give them freedom and independence to run as fast as possible and deliver value to their end users. Flexible and scalable platforms are designed to ensure order and improve productivity and efficiency.
There is always a conflict between a developer's desire for autonomy and agility and the need for business governance and control. Codifying the security, cost, and compliance policies needed to manage cloud infrastructure can help implement this approach.

Platform Engineering Tools

  1. Kubernetes for container orchestration.

  2. Crossplane to manage Cross Kubernetes infrastructure Qovery for preview environment Gitlab CI for CI Humanitec for the internal development platform.

  3. ArgoCD for CDs 

  4. Docker to host application

  5. Terraform to automate infrastructure provisioning

Future Trends of Platform Engineering

Platform Engineering is used in several organizations to take on these responsibilities. The rise of microservices, container orchestration, and the like have introduced novel engineering challenges. Platform engineering teams have formed at several organizations to shoulder these responsibilities.
Automated infrastructure operations, reusable tools, and self-service features enhance developer productivity and experience. This technology approach uses configurable and reusable application components and services. Users benefit from standardized, automated tools, components, and processes.

Summary of Platform Engineering

Platform Engineering can improve developer productivity and efficiency through tools, automation, and infrastructure as code. It can also ensure consistency and trust around complex areas of functionality, such as security and reliable auto-scaling, and help organizations sustainably grow their teams to meet growing business needs.

Platform engineering can meet many different needs. The fundamental elements of the platform usually encompass runtime environments, Kubernetes infrastructure, software release workflows, and additional components. In addition, these platforms offer various features, such as secret management, certificate management, and automated disaster recovery.

Organizations are adopting Platform Engineers because they help development teams deliver software releases much faster. Platform engineers improve and automate the entire workflow from coding to final delivery.

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navdeep-singh-gill

Navdeep Singh Gill

Global CEO and Founder of XenonStack

Navdeep Singh Gill is serving as Chief Executive Officer and Product Architect at XenonStack. He holds expertise in building SaaS Platform for Decentralised Big Data management and Governance, AI Marketplace for Operationalising and Scaling. His incredible experience in AI Technologies and Big Data Engineering thrills him to write about different use cases and its approach to solutions.

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