Part of devmio London Week · May 11–15, 2026 · London & Online
A professional learning experience for modern software delivery teams. Practical patterns for Internal Developer Platforms, automation, governance-by-default, and AI-ready delivery pipelines — proven in production.
Platform Engineering Summit · DevOpsCon · MLCon · API Conference
All relevant sessions and workshops. No guessing.
Part of devmio London Week · May 11–15, 2026 · London & Online
A professional learning experience for modern software delivery teams. Practical patterns for Internal Developer Platforms, automation, governance-by-default, and AI-ready delivery pipelines — proven in production.
Platform Engineering Summit · DevOpsCon · MLCon · API Conference
All relevant sessions and workshops. No guessing.
Part of devmio London Week · May 11–15, 2026 · London & Online
A professional learning experience for modern software delivery teams. Practical patterns for Internal Developer Platforms, automation, governance-by-default, and AI-ready delivery pipelines — proven in production.
Platform Engineering Summit · DevOpsCon · MLCon · API Conference
All relevant sessions and workshops. No guessing.
AI is not only adding new capabilities — it accelerates complexity across tools, platforms, and teams. Platform Engineering Week London shows how organizations turn this complexity into delivery speed and value in practice.
Platform Engineering doesn’t force a choice between team freedom and organizational control — it continuously balances both, based on real usage patterns.
Stop rebuilding the same solutions. Platforms let teams share capabilities, automate governance, and focus developer time on actual business value.
As AI models and agents enter daily workflows, unclear boundaries create friction. Platform Engineering gives you the operating model to harness AI without chaos.
AI is not only adding new capabilities — it accelerates complexity across tools, platforms, and teams. Platform Engineering Week London shows how organizations turn this complexity into delivery speed and value in practice.
Platform Engineering doesn’t force a choice between team freedom and organizational control — it continuously balances both, based on real usage patterns.
Stop rebuilding the same solutions. Platforms let teams share capabilities, automate governance, and focus developer time on actual business value.
As AI models and agents enter daily workflows, unclear boundaries create friction. Platform Engineering gives you the operating model to harness AI without chaos.
Platform Engineering Week isn’t one conference — it’s a cross-cutting topic shared across multiple conferences in the same week. That’s why one ticket gives you access to all relevant content, no matter which conference it appears in.
Your multi-conference access
You get access to all Platform Engineering sessions — wherever they are in the program.
Platform Engineering Week isn’t one conference — it’s a cross-cutting topic shared across multiple conferences in the same week. That’s why one ticket gives you access to all relevant content, no matter which conference it appears in.
Your multi-conference access
You get access to all Platform Engineering sessions — wherever they are in the program.
Platform Engineering Week isn’t one conference — it’s a cross-cutting topic shared across multiple conferences in the same week. That’s why one ticket gives you access to all relevant content, no matter which conference it appears in.
Multiple formats designed for different learning depths — from 45-minute conference sessions to 2-day bootcamps.
May 12 – 13, 2026
Focused sessions across multiple tracks. Understand patterns, trade-offs, and platform decisions from practitioners.
May 11 & 14, 2026
6-hour deep dives. Move from concepts to concrete implementation patterns you can use immediately.
May 14 & 15, 2026
End-To-End learning Experience for designing and operating Internal Developer Platforms — with real-world architectures, golden paths, and governance patterns.
Multiple formats designed for different learning depths — from 45-minute conference sessions to 2-day bootcamps.
May 12 – 13, 2026
Focused sessions across multiple tracks. Understand patterns, trade-offs, and platform decisions from practitioners.
May 11 & 14, 2026
6-hour deep dives. Move from concepts to concrete implementation patterns you can use immediately.
May 14 & 15, 2026
End-To-End learning Experience for designing and operating Internal Developer Platforms — with real-world architectures, golden paths, and governance patterns.
Multiple formats designed for different learning depths — from 45-minute conference sessions to 2-day bootcamps.
Focused sessions across multiple tracks. Understand patterns, trade-offs, and platform decisions from practitioners.
6-hour deep dives. Move from concepts to concrete implementation patterns you can use immediately.
End-To-End learning Experience for designing and operating Internal Developer Platforms — with real-world architectures, golden paths, and governance patterns.
Focused sessions across multiple tracks. Understand patterns, trade-offs, and platform decisions from practitioners.
6-hour deep dives. Move from concepts to concrete implementation patterns you can use immediately.
End-To-End learning Experience for designing and operating Internal Developer Platforms — with real-world architectures, golden paths, and governance patterns.
Less coordination overhead. Clear boundaries. Sustainable flow — especially when AI enters your value chain.
Modern platforms significantly improve Developer Experience for engineers and increasingly extend these benefits across security, data, domain, and automation-focused roles.
Platform Engineering optimizes flow across roles — not just pipelines. You’ll learn how to:
Less coordination overhead. Clear boundaries. Sustainable flow — especially when AI enters your value chain.
Modern platforms significantly improve Developer Experience for engineers and increasingly extend these benefits across security, data, domain, and automation-focused roles.
Platform Engineering optimizes flow across roles — not just pipelines. You’ll learn how to:
You’ll leave with an implementation advantage — ready to apply immediately
Clear principles for defining users, value propositions, roadmaps, and feedback loops — enabling real product ownership for platforms.
Built-in security, compliance, and cost controls that enable teams to move faster without constant coordination.
Clear guidance on where agents, workflows, and LLMOps belong — and how to operate AI safely in production.
Cross-discipline patterns that reduce mental overload and help teams stay focused as systems scale.
Golden paths, templates, scorecards, reference architectures ready to be applied immediately.
Proven approaches for ensuring platforms get used — and adopted beyond the initial rollout.
You’ll leave with an implementation advantage — ready to apply immediately
Clear principles for defining users, value propositions, roadmaps, and feedback loops — enabling real product ownership for platforms.
Built-in security, compliance, and cost controls that enable teams to move faster without constant coordination.
Clear guidance on where agents, workflows, and LLMOps belong — and how to operate AI safely in production.
Cross-discipline patterns that reduce mental overload and help teams stay focused as systems scale.
Golden paths, templates, scorecards, reference architectures ready to be applied immediately.
Proven approaches for ensuring platforms get used — and adopted beyond the initial rollout.
Platform Engineering & IDP teams → build and evolve platforms as products, define paved roads, drive adoption, and measure real impact.
DevOps, SRE & Cloud Platform teams → automate delivery, improve reliability, and operate cloud-native systems with predictable outcomes.
API leaders & architects → define contracts, enforce governance, and shape platform boundaries that scale across teams and products.
ML/AI & data platform teams → operationalize LLMOps and agents, manage model lifecycles, and enable safe, compliant production deployments.
Engineering leadership → design operating models, align teams around shared platforms, and translate technical capabilities into measurable value.
Security & compliance partners → embed guardrails by default, implement policy-as-code, and enable teams to move fast without losing control.
Platform Engineering & IDP teams → build and evolve platforms as products, define paved roads, drive adoption, and measure real impact.
DevOps, SRE & Cloud Platform teams → automate delivery, improve reliability, and operate cloud-native systems with predictable outcomes.
API leaders & architects → define contracts, enforce governance, and shape platform boundaries that scale across teams and products.
ML/AI & data platform teams → operationalize LLMOps and agents, manage model lifecycles, and enable safe, compliant production deployments.
Engineering leadership → design operating models, align teams around shared platforms, and translate technical capabilities into measurable value.
Security & compliance partners → embed guardrails by default, implement policy-as-code, and enable teams to move fast without losing control.
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