EPISODE · May 25, 2026 · 34 MIN
Ep 10: What Is Platform Engineering and how will it work in an AI world? With Paula Kennedy
from Asynchronous & Unreliable - Tech Chat For Practitioners Who Want to Understand The New Ideas · host Anne Currie
ShownotesWhat Is Platform Engineering and how will it work in an AI world? An In-Depth Conversation with Paula KennedyIn this episode, Anne Currie chats with old friend and colleague Paula Kennedy, COO of platform engineering startup Syntasso about the fundamentals of platform engineering, its evolution, and its impact on organizations of all sizes. They explore how platform engineering helps manage the growing cognitive load in modern software development and operational practices.This episode is a great companion to episode 3 - Niki Manoledaki's on platform engineering at Grafana LabsKey Topics Covered:The origins and definition of platform engineering, tracing back to the earliest days of software developmentHow platform engineering bridges the gap between code creation and deployment infrastructureThe role of platform teams as enablers and marketplace providers within organizationsOwnership, responsibility, and the importance of platform as a product mindsetThe impact of AI on platform engineering, automation, and operational efficiencyAvoiding bottlenecks: scaling platform capabilities to meet rising code generation and operational demandsPractical insights into managing complexity, security, and costs across organization-wide platformsTimestamps:(0:00) – Introduction to platform engineering and tools for easy editing of recordings(3:00) – Defining platform engineering as the space between code and infrastructure(6:00) – The evolution from traditional IT to DevOps and modern platform teams(9:00) – How cognitive load and responsibility are distributed across teams(12:00) – Historical perspective: from separate dev and ops teams to integrated platforms(15:00) – The role of ownership and product mindset in platform success(20:00) – The marketplace model for platform services, enabling internal contribution(23:00) – The importance of clear boundaries and ownership akin to cloud provider models(28:00) – The influence of AI and agents on future platform strategies(36:00) – Recognizing system bottlenecks and scaling horizontally as a key challenge(37:00) – The timeless nature of operational principles and organizational constraintsFor transcript
What this episode covers
ShownotesWhat Is Platform Engineering and how will it work in an AI world? An In-Depth Conversation with Paula KennedyIn this episode, Anne Currie chats with old friend and colleague Paula Kennedy, COO of platform engineering startup Syntasso about the fundamentals of platform engineering, its evolution, and its impact on organizations of all sizes. They explore how platform engineering helps manage the growing cognitive load in modern software development and operational practices.This episode is a great companion to episode 3 - Niki Manoledaki's on platform engineering at Grafana LabsKey Topics Covered:The origins and definition of platform engineering, tracing back to the earliest days of software developmentHow platform engineering bridges the gap between code creation and deployment infrastructureThe role of platform teams as enablers and marketplace providers within organizationsOwnership, responsibility, and the importance of platform as a product mindsetThe impact of AI on platform engineering, automation, and operational efficiencyAvoiding bottlenecks: scaling platform capabilities to meet rising code generation and operational demandsPractical insights into managing complexity, security, and costs across organization-wide platformsTimestamps:(0:00) – Introduction to platform engineering and tools for easy editing of recordings(3:00) – Defining platform engineering as the space between code and infrastructure(6:00) – The evolution from traditional IT to DevOps and modern platform teams(9:00) – How cognitive load and responsibility are distributed across teams(12:00) – Historical perspective: from separate dev and ops teams to integrated platforms(15:00) – The role of ownership and product mindset in platform success(20:00) – The marketplace model for platform services, enabling internal contribution(23:00) – The importance of clear boundaries and ownership akin to cloud provider models(28:00) – The influence of AI and agents on future platform strategies(36:00) – Recognizing system bottlenecks and scaling horizontally as a key challenge(37:00) – The timeless nature of operational principles and organizational constraintsFor transcript
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Ep 10: What Is Platform Engineering and how will it work in an AI world? With Paula Kennedy
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