The largest community of platform engineers out there. Learn from leading DevOps experts. Connect with fellow platform nerds. This community was born as a series of Meetup events in Berlin, Germany and Austin, Texas. It grew to much more than that in just a few months. We recently launched our Slack community, Platformengineering.org and this channel. More to come. Join our Slack channel - http://platformengineering.org/slack-rd
Platform engineering is undergoing a fundamental shift as organizations grapple with "agentic chaos" and the integration of autonomous AI agents. Building sustainable platforms requires a return to foundational principles, emphasizing robust governance, policy-as-code, and digital sovereignty to survive potential model...
Platform engineering is undergoing a fundamental shift as it transitions from supporting traditional internal developer platforms to enabling agentic development platforms. This evolution centers on integrating AI agents into the software development lifecycle, requiring a new reference architecture composed of foundat...
Platform engineering in the banking, financial services, and insurance (BFSI) sector requires balancing standardization with business unit autonomy to reduce undifferentiated work. Successful implementation relies on creating "golden paths" that are compliant by default, effectively embedding security and regulatory gu...
Platform engineering represents a shift from artisanal or hero-based production systems toward a structured, platform-based model that prioritizes socio-technical design over purely technical implementation. By treating the platform as a product, organizations can establish "golden paths"—standardized, repeatable workf...
Observability in platform engineering has reached an inflection point, necessitating a shift from traditional "shift-left" practices toward "shifting down" by embedding telemetry and data pipelines directly into the platform layer. As AI-driven agentic workflows increase telemetry data volume by up to 100% year-over-ye...
Platform Engineering serves as the critical control plane for AI, transforming vague AI spending into measurable, auditable capacity. While Copilot-based efficiency gains are often shallow, capped, and difficult to quantify, "loop engineering"—automated, verified workflows—delivers durable returns by removing friction ...
Platform Engineering is undergoing a fundamental evolution from its initial focus on reducing developer cognitive load to a more comprehensive "2.0" model driven by AI integration and shifting organizational requirements. This new paradigm prioritizes five core pillars: AI-native infrastructure, support for multiple hu...
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