Platform Engineering vs DevOps: How Are They Different?

Hey there! As someone interested in improving software delivery, you may be wondering about the differences between platform engineering and DevOps. Both play important roles in modern software organizations, but they focus on different areas. In this comprehensive guide, I‘ll break down what each is, how they complement each other, and why enterprises should invest in both.

What is Platform Engineering?

Platform engineering involves building shared, reusable infrastructure and tools that software delivery teams use to be more productive. The core goal is to abstract away complexity so developers can focus on writing business code rather than dealing with deployment details.

Platform teams build self-service systems that let developers easily provision infrastructure, deploy apps, manage secrets, monitor systems, and more without having to build these capabilities themselves. The platform acts as an internal "product" that developers can simply consume.

Some key responsibilities of platform engineering teams include:

• Designing and implementing core infrastructure services like Kubernetes, CI/CD pipelines, secrets management, monitoring, and more
• Ensuring scalability, reliability, and security of the platform
• Providing self-service interfaces and SDKs for platform consumption
• Documenting and supporting platform capabilities
• Managing costs associated with shared infrastructure
• Continuously improving platform tooling and processes

The platform engineering group operates independently from the product teams building end-user applications. They focus solely on building and running the reusable services so other teams don‘t have to reinvent the wheel.

Benefits of Platform Engineering

Investing in platform engineering provides many benefits including:

• Improved productivity – Self-service infrastructure and deployments save developers time and overhead.
• Standardization – Platform establishes standardized patterns and tools versus disparate ad hoc approaches.
• Reliability – Platform tools undergo extensive testing and hardening before being shared.
• Security – Central platform team focuses on security versus individual product teams.
• Cost efficiency – Sharing infrastructure and tools drives economy of scale.
• Acceleration – Developers don‘t wait on manual ops processes to deliver features.

Leading tech companies like Netflix, Google, Twitter, and Airbnb have extensive internal developer platforms powering their engineering organizations.

Opinion: Why Platform Engineering is the Future

In my opinion, platform engineering is becoming essential for any large engineering organization looking to improve productivity and velocity. Manually managing infrastructure, deployments, secrets, and other operational tasks is incredibly inefficient for developers. And when each team builds their own unique stacks, you end up with the ‘snowflake‘ problem where everything is fragmented and fragile.

Centralizing these capabilities into self-service platform APIs abstracts away the pain points developers face. It lets them focus on writing differentiated business logic instead of reinventing foundational commodities like CI/CD pipelines. Platform engineering empowers product teams to ship faster. Teams like Netflix have seen incredible velocity gains after investing heavily in their platform. My prediction is that platform engineering will soon be a standard part of how enterprises build and deliver software.

What is DevOps?

DevOps refers to processes and cultural philosophies that improve collaboration between development and IT operations teams. It aims to shorten cycles for building, testing, and releasing software updates.

Some key DevOps practices include:

• Integrating security earlier in the software development lifecycle
• Implementing CI/CD and test automation
• Using infrastructure-as-code to provision environments
• Monitoring and logging all aspects of systems
• Empowering developers with self-service capabilities
• Promoting shared responsibilities between teams
• Taking an iterative approach to building and operating software

DevOps breaks down silos between developers, ops, security, and other players. It delivers software faster and more reliably by improving processes and culture.

The Promise of DevOps

Done right, DevOps can provide many benefits for engineering teams:

• Faster time-to-market for new features
• Improved software quality and reliability
• Enhanced security
• Higher engineering productivity
• Increased innovation
• Reduced risk when making changes

For these reasons, DevOps has become an essential approach for any company looking to excel at building and delivering modern applications.

Personal Experience with DevOps Transformation

In one of my previous roles, we went through a DevOps transformation that really improved our ability to ship software quickly. We invested in test automation, infrastructure-as-code, and new collaboration rituals. Over 6 months, we saw lead times for changes drop from weeks to days. Outage rates also declined through more incremental updates. Adopting DevOps required some cultural shifts, but the end results were well worth it. I‘m a strong believer that most engineering organizations can benefit from DevOps principles applied the right way.

Key Differences Between Platform Engineering and DevOps

While complementary, platform engineering and DevOps have different focuses:

• Focus – Platform engineering focuses on building shared infrastructure and tools. DevOps focuses on processes and culture change.

• Ownership – Platform teams build and manage services. DevOps practices are adopted by product teams.

• Scope – Platform engineering covers lower level infrastructure. DevOps spans end-to-end delivery processes.

• Abstraction – Platform aims to abstract complexity from developers. DevOps gives developers more control.

• Standards – Platform establishes standards for tools and configs. DevOps promotes flexibility in adoption per team.

In summary, platform engineering provides the foundation on which DevOps practices operate most effectively. Platform abstracts complexity while DevOps removes process bottlenecks. Together they enable velocity, productivity, and innovation.

Popular Tools Used in Platform Engineering vs DevOps

Platform engineering and DevOps also tend to leverage different (but overlapping) toolsets.

Platform Engineering Tools

Some popular open source tools used by platform teams include:

• Kubernetes – Container orchestration
• Terraform – Infrastructure-as-code
• Vault – Secrets management
• Jenkins – CI/CD automation
• Istio – Service mesh
• Prometheus – Monitoring
• Backstage – Developer portal

Platform engineers also build extensive custom services tailored to their environment.

DevOps Tools

Application teams use various DevOps tools including:

• Git – Source control
• Docker – Containerization
• Grafana – Data visualization
• Elastic – Logging
• Splunk – Log analysis
• Datadog – Monitoring APM
• SonarQube – Code quality
• JIRA – Project tracking

DevOps teams have flexibility choosing tools to meet their specific needs while adhering to platform standards.

There is overlap on foundational tools like Kubernetes, Terraform, and Prometheus that both groups leverage.

My Favorite Automation Tools

Some of my favorite DevOps automation tools include Terraform for infrastructure-as-code, Ansible for configuration management, and Jenkins for build pipelines. HashiCorp and RedHat have really made operators‘ lives easier with these tools. I‘m excited to see innovations like GitOps workflows and policy-as-code emerging alongside the core automation tools.

How Platform Engineering Complements DevOps

Platform engineering and DevOps are highly complementary. The platform provides the foundation on which DevOps practices thrive.

Here are some of the key ways platform engineering supercharges DevOps:

• Self-service infrastructure – Developers can provision environments on demand without ops tickets.

• CI/CD pipelines – Abstract complex orchestration required for CD.

• Observability – Centralized logging and monitoring built into the platform.

• Service discovery – Automatically connect and route microservices.

• Secrets management – Securely inject configs and credentials into apps.

• Developer experience – Portals and SDKs provide easy interface to leverage platform.

Without the abstraction provided by platform engineering, DevOps teams get bogged down reinventing foundational services like CI/CD. Platform lets them focus on product innovation vs infrastructure glue code.

Platform capabilities also standardize and scale DevOps patterns across the organization. They facilitate consistency, collaboration, and knowledge sharing versus fragmented efforts.

Ultimately, platform engineering aims to transform software delivery from painful manual processes to a delightful self-service experience.

My Thoughts on Leveraging Platform Capabilities

In my experience,trying to adopt DevOps without some centralized platform abstractions tends to only get you so far. The complexity of toolchains, infrastructure automation, distributed systems, and compliance eventually overwhelms small teams going completely DIY. Platform capabilities like secrets management and CI/CD pipelines solve these hard problems once rather than every team building their own variant. If you build the platform, the developers will come!

Evolution to Platform Engineering As DevOps Matures

As engineering teams adopt DevOps, they often evolve to platform engineering as needs grow:

• Basic DevOps – Focus on culture and basic CI/CD automation
• Expanded DevOps – More tooling, infrastructure-as-code, monitoring
• Emerging Platform – Some shared abstractions built as needed
• Internal Platform – Formal platform team providing core services

As complexity and scale increase, dedicated platform teams emerge to create self-service abstractions. Common pain points drive the platform roadmap.

For example, deploying distributed microservices requires capabilities like service discovery and orchestration. Compliance needs drive centralized secrets, access controls, and auditing.

Platform engineering also creates leverage. One platform team can enable huge productivity gains across hundreds of product teams. This scaling drives increasing maturity and value.

The Future of Platform Engineering

Platform engineering is still an evolving discipline. As complexity across infrastructure, delivery chains, data, security, and compliance increases, so will the need for greater abstractions.

Here are some ways we‘ll see platform engineering expand:

• End-to-end observability into the delivery system
• AI assisted infrastructure optimization
• Expanded focus on developer experience
• Increased adoption of declarative infrastructure
• Security capabilities woven through the stack
• Focus on sustainability via efficient resource usage

Platforms will also leverage technologies like containers, serverless, service mesh, observability tools, and cloud innovations.

The line between platform and product will blur. Platforms will provide APIs and services for developers to easily build upon. Platform and product engineering will feel like one continuous environment tailored to user needs.

As technology evolves rapidly, platform engineering will continue increasing leverage by abstracting emerging complexities into delightful developer experiences.

My Vision: Developer Experience is the Future

I believe developer experience will be a primary focus of next-gen platforms. Abstracting infrastructure complexities is just table stakes. To really accelerate innovation, platforms need to enable developer joy. That means not only removing pains but also providing delightful tooling like intelligent IDE plugins, fast feedback loops, easy access to data, and workflows that make engineers excited to build. Platforms that focus solely on infrastructure and neglect the human side miss big opportunities in my opinion.

Conclusion

Platform engineering and DevOps are complementary disciplines focused on accelerating software delivery. Platform engineering provides the reusable abstractions and infrastructure to enable DevOps practices to thrive. And DevOps brings the processes and automation for operating and evolving apps rapidly.

Together they remove complexity, standardize systems, foster collaboration, and transform software development into a delightful productive experience.

As engineering teams scale, investing in both platform and DevOps becomes essential to balancing velocity with reliability, security, and stability.

Engineering leaders should assess where their organization falls on the spectrum from basic DevOps to mature platform capabilities to determine the right roadmap moving forward.

If you made it this far, thanks for reading! I hope this guide gave you a helpful breakdown of how platform engineering and DevOps come together to enable modern software organizations. Let me know if you have any other questions.