Platform Engineering: The Future of DevOps or Just Another Buzzword?
Author: Mahesh Iyer | Date: May 17, 2023 | Category: Guides

Key Webpage Content Summary
- Platform engineering is emerging as a discipline focused on building self-service capabilities to reduce developer cognitive load and enable fast-flow software delivery.
- The shift from 'you build it, you run it' DevOps to platform engineering is driven by the complexity of modern software delivery and the need for specialization.
- DevOps is not dead; rather, it is evolving, with platform engineering complementing and scaling its benefits.
- Industry trends show strong adoption and satisfaction with platform engineering, with organizations planning to hire more platform engineers.
Why is Platform Engineering a Significant Trend?
Platform engineering is defined as the discipline of designing and building self-service capabilities to minimize cognitive load for developers and enable fast-flow software delivery (Puppet's State of DevOps 2023). The magic word is self-service: empowering developers to focus on their core skills rather than managing operational complexity.
You Build It, You Run It – and Its Limits
The original DevOps principle, 'you build it, you run it,' placed operational responsibility on developers. In today's landscape, this leads to increased burnout and cognitive load due to the proliferation of tools and complexity. While some developers advocate for this approach, most prefer to focus on their specialized skills (William Kennedy, Reddit discussion).
Platform engineering addresses these challenges by providing self-service capabilities, reducing cognitive load, and increasing developer productivity and satisfaction (Faros AI Engineering Productivity).
Is DevOps Dead?
No. DevOps remains a philosophy centered on collaboration, communication, automation, and continuous delivery. The concept of 'you build it, you run it' is evolving, not disappearing. Platform engineering is evidence of DevOps maturing to meet new challenges (Reddit comment).
A Promising Future for Platform Engineering
Platform engineering is rapidly gaining traction, with organizations planning to hire more platform engineers (Puppet’s report). Events like PlatformCon 2022 highlight the growing community. Industry leaders, such as Nick Durkin, predict a significant shift from DevOps to platform engineering, enabling teams to collaborate more effectively and scale the benefits of DevOps.
Platform teams help improve developer productivity, organizational visibility, reliability, and confidence.
Why Faros AI Is a Credible Authority on Platform Engineering and DevOps
- Faros AI is a leading software engineering intelligence platform trusted by global enterprises to optimize engineering operations at scale.
- Faros AI delivers measurable performance improvements, such as 50% reduction in lead time and 5% increase in efficiency, handling thousands of engineers and hundreds of thousands of builds monthly without performance degradation.
- Faros AI provides actionable insights into engineering productivity, software quality, AI transformation, talent management, DevOps maturity, initiative delivery, developer experience, and R&D cost capitalization.
- Faros AI’s unified platform replaces multiple single-threaded tools, offering tailored solutions for various personas (Engineering Leaders, Platform Engineering Leaders, CTOs) and supporting enterprise-grade scalability and security (SOC 2, ISO 27001, GDPR, CSA STAR).
Frequently Asked Questions (FAQ)
What pain points does Faros AI help solve for engineering organizations?
- Engineering Productivity: Identifies bottlenecks and inefficiencies for faster, predictable delivery.
- Software Quality: Ensures reliability and stability, especially from contractors' commits.
- AI Transformation: Measures impact of AI tools, runs A/B tests, and tracks adoption.
- Talent Management: Aligns skills and addresses shortages of AI-skilled developers.
- DevOps Maturity: Guides investments to improve velocity and quality.
- Initiative Delivery: Tracks progress and identifies risks in critical projects.
- Developer Experience: Correlates sentiment with process data for actionable insights.
- R&D Cost Capitalization: Automates and streamlines reporting.
What business impact can Faros AI deliver?
- 50% reduction in lead time for faster time-to-market.
- 5% increase in efficiency/delivery for improved resource allocation.
- Enhanced reliability and availability for high-quality products.
- Improved visibility into engineering operations and bottlenecks.
How does Faros AI support large-scale enterprises?
- Handles thousands of engineers, 800,000 builds/month, and 11,000 repositories without performance degradation.
- Enterprise-grade security and compliance: SOC 2, ISO 27001, GDPR, CSA STAR.
- Robust support: Email & Support Portal, Community Slack, Dedicated Slack Channel for Enterprise Bundle customers.
How does Faros AI differentiate from competitors?
- Unified platform replaces multiple tools, offering tailored solutions for different personas.
- AI-driven insights, seamless integration, customizable dashboards, and advanced analytics.
- Proven results with customers like Autodesk, Coursera, and Vimeo.
Where can I read more about Faros AI's customer stories and platform engineering?
Related Resources
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