Serverless Craic from The Serverless Edge

Serverless Craic from the Serverless Edge

Welcome to Serverless Craic from The Serverless Edge with Dave Anderson, Mark McCann and Mike O'Reilly. We want to share our tools and techniques so that you can use them to communicate your Technical Strategy with your C-Suite and business owners. We want to help you to build a serverless first organisation. We will show you how to use Wardley Mapping to gain situational awareness of where your cloud applications and business are. And then how to develop your technical capability in away that builds engineering standards to set your organisation up for sustainable success.Sounds like the tools and techniques that you need - then hit the subscribe!-ABOUT- Dave, Mark and Mike are senior technical architects/leaders passionate about driving technical strategy. They have led transformation journeys, technical excellence, cloud adoption and tech strategies in many industries.Active in various technologies including ML/AI, Public Cloud (IaaS, PaaS, SaaS), Engineering, Product, Cyber and UX.

  1. 1天前

    Serverless Craic Ep72 Map Your Tech Stack | Evolutionary Architecture & The Value Flywheel Effect

    Send us a text In this episode of Serverless Craic, Dave Anderson, Mark McCann, and Michael O’Reilly explore Chapter 15 of The Value Flywheel Effect — Map Your Solution. They discuss how Wardley Mapping and tech stack mapping create situational awareness, reduce friction between teams, and guide better architectural decisions. If you’re a software engineer, architect, or tech leader aiming to evolve your systems with serverless and cloud-native thinking, this conversation shows practical techniques to uncover bottlenecks, reduce technical debt, and align teams on strategic improvements. ⏱️ Chapters 00:00 – Intro: jumping from summer to winter 01:00 – Mapping your solution: why it matters 02:20 – Tech stack mapping in practice 03:50 – Situational awareness and collaboration 05:50 – Funding priorities and bottlenecks 07:20 – Cloud services, serverless options, and evolution paths 09:30 – Custom build vs buy vs adopt cloud-native 11:00 – Organisational insights from mapping 12:00 – Duplication and domain-driven design issues 13:00 – Team Topologies and independent service heuristic 14:20 – Total cost of ownership and well-architected lens 15:50 – Target architecture and business impact 16:50 – Using mapping for strategy and incentives 17:40 – Context switching and leadership effectiveness 18:10 – Takeaways: evolutionary architecture 🔗 Resources 📖 The Value Flywheel Effect Book – https://thevalueflywheeleffect.com 🎥 Wardley Mapping 101 – https://www.youtube.com/watch?v=uP9Rl26Xeag 🎧 Podcast: Wardley Mapping is a Game-Changer – https://open.spotify.com/episode/5cUQgQFBeIkOBWUe35rDRU Serverless Craic from The Serverless Edge Check out our book The Value Flywheel Effect Follow us on X @ServerlessEdge Follow us on LinkedIn Subscribe on YouTube

    19 分钟
  2. 8月29日

    Serverless Craic Ep71 AI, DevOps & Serverless: Building Frictionless Developer Experience

    Send us a text In this episode, Dave Anderson, Mark McCann, and Michael O’Reilly dive deep into The Value Flywheel Effect (Chapter 14) — discussing frictionless developer experience, sense checking, feedback culture, AI in software engineering, DevOps, platform engineering, and marginal gain. We explore how AI and LLMs are shaping engineering practices, the importance of psychological safety, continuous improvement, and why code is always a liability. If you’re interested in serverless, DevOps, or building resilient modern software teams, this conversation is packed with insights. Chapters 00:00 – Introduction & Belfast heatwave 🌞 00:18 – Revisiting *The Value Flywheel Effect* (Chapter 14) 01:11 – Sense checking & psychological safety in teams 02:37 – Leadership, listening, and feedback loops 04:12 – RFCs, well-architected reviews & threat modelling 05:14 – Trusting AI feedback vs human feedback 07:59 – Documenting engineering standards for AI 09:33 – Human in the loop & cadence of reviews 11:42 – Traceability, accountability & marginal gains 13:56 – Scaling teams & expanding the “full stack” 14:29 – Infrastructure as code, DevOps origins & AI parallels 17:13 – Deployment pipelines & frictionless production 18:01 – Platform engineering & hardened building blocks 19:40 – Code as liability & avoiding bloat 20:20 – Well-architected standards & AI context 21:32 – Shifting security left & automated governance 22:33 – Isolation, zero trust & resilience 23:18 – Platforms as standards & consolidation 25:23 – Less code, better docs, and evolving patterns 27:06 – Avoiding command & control in engineering culture 28:22 – Empowerment, enabling environments & AI’s role 28:50 – Developer experience & future of AI in software Serverless Craic from The Serverless Edge Check out our book The Value Flywheel Effect Follow us on X @ServerlessEdge Follow us on LinkedIn Subscribe on YouTube

    30 分钟
  3. 8月15日

    Serverless Craic Ep70 Frictionless Developer Experience in the Age of AI

    Send us a text In this episode Dave Anderson, Mark McCann, and Michael O’Reilly continue their deep dive tackling Chapter 14: The Frictionless Developer Experience. The crew explore whether the principles of engineering excellence, developer enablement, and team topologies still stand strong in a world increasingly powered by AI and agentic systems. From **managing cognitive load** to **code as a liability**, they unpack how AI changes (and doesn’t change) the fundamentals of building high-quality software. 📌 Topics include: Does AI really make development frictionless? Maintaining engineering excellence in an AI-driven world Enabling constraints and team autonomy Revisiting the four team types in *Team Topologies* The enduring importance of DORA metrics and stability Why code is a liability—and how AI impacts this The rise of specifications, contracts, and stronger test practices ⏱ Chapters 00:00 – Intro & recent travels 01:20 – Go To Service Bangalore & serverless momentum 02:40 – Frictionless developer experience in an AI world 04:50 – Cognitive load & enabling constraints 06:20 – Engineering excellence: still relevant? 08:10 – Three characteristics of great software creation 10:25 – Principles, context, and best practices in the AI era 12:40 – Goal-driven frameworks & outcome-based leadership 14:00 – Challenging teams with the right questions 15:35 – AI as an enabler for strong engineers 17:20 – Democratising knowledge & rapid learning 18:40 – Team Topologies in the AI landscape 20:45 – Socio-technical changes & enabling teams 22:15 – Will teams be smaller or just better? 23:30 – Autonomy, mastery, and purpose 25:05 – Engineers’ mastery in the age of AI 26:00 – DORA metrics: throughput & stability 28:00 – Code as a liability & maintainability concerns 29:20 – Specifications, contracts, and test-driven approaches 31:00 – Shared outcomes & embracing AI in delivery 🔗 Resources & Links 📚 Team Topologies: https://teamtopologies.com by Matthew Skelton & Manuel Pais 📖 Accelerate by Nicole Forsgren, Jez Humble & Gene Kim 🌐 The Serverless Edge https://theserverlessedge.com)– Blog & resources Serverless Craic from The Serverless Edge Check out our book The Value Flywheel Effect Follow us on X @ServerlessEdge Follow us on LinkedIn Subscribe on YouTube

    31 分钟
  4. 8月8日

    Serverless Craic Ep69 Serverless myths debunked for modern cloud teams

    Send us a text Serverless myths debunked for modern cloud teams: In this episode, we dive into the second part of Chapter 13 The Serverless First Edge from The Value Flywheel Effect book. We explore common serverless myths, how relevant they still are in 2025, and what’s changed since the early days of serverless adoption. From cold starts and testing challenges to cloud lock-in and the rise of AI, we reflect on the evolution of the landscape — and the mindset shifts still needed across engineering and leadership teams. 💥 Packed with practical insights and real-world experiences, this is a must-watch for anyone navigating modern cloud architecture, serverless patterns, or leading engineering teams in the age of AI. ⏱ Chapters: 00:00 - Intro & weather chat 00:34 - Chapter 13 overview: "The Serverless First Age" 01:17 - Cold start problems: Still a myth? 05:11 - Serverless is hard to test? Solved with cloud-native testing 09:34 - Observability: You can't see what's happening? 12:48 - Serverless isn’t the next big thing? The AI distraction 16:23 - Vendor lock-in fears & multi-cloud myths 20:00 - “We’re different” & custom standards fallacy 23:02 - Serverless is more expensive? 25:26 - Engineers won’t do what I tell them 26:23 - Engineers are disconnected from the business 27:24 - “This worked last time, let’s use it again” 28:02 - “We only work on the cool stuff” 28:27 - Organisational myths: “We’re under capacity” 29:54 - Security is blocking serverless? 30:41 - Finance myths: OPEX model resistance 30:54 - Sunk cost fallacy in cloud transformation 31:37 - Outsourcing strategy to consultancies 32:47 - Wrap-up & what’s still relevant 🔗 Links & Mentions: The Value Flywheel Effect book ServerlessDays Belfast Talks by Jeremy Daly, Yan Cui , Adrian Cockcroft BizTech Evolution by Ivan Krnić  Serverless Craic from The Serverless Edge Check out our book The Value Flywheel Effect Follow us on X @ServerlessEdge Follow us on LinkedIn Subscribe on YouTube

    33 分钟
  5. 7月3日

    Serverless Craic Ep67 Workgrid Case Study

    Send us a text 🎙️ Serverless Craic: Chapter 12 – The Workgrid Case Study In this episode, Dave Anderson, Mark McCann, and Michael O’Reilly dive deep into Chapter 12 of The Value Flywheel Effect — the Workgrid case study. This episode explores the early days of Workgrid, a startup founded in 2017 with Gillian McCann. As one of the first companies to adopt a “serverless-first” philosophy, Workgrid’s journey offers valuable lessons in building modern digital employee experiences under real-world startup constraints. 💡 Topics Covered: The importance of a pragmatic, serverless-first architecture Managed services vs. infrastructure-heavy approaches Startup pressures: speed, cost, and time to market Creating an “environment for success” in engineering teams Real-world examples of modular design, cost awareness, and evolving architectures Building secure, compliant, multi-tenant SaaS on serverless The value of partnering with cloud providers like AWS Lessons in team growth, hiring for mindset over tech stack 🔥 Quote of the episode: "I never said serverless was easier. I said it was better." – Gillian McCann Whether you’re in a startup or enterprise, this episode will inspire you to rethink your architectural strategy and team dynamics for building scalable, cost-effective cloud-native systems. Serverless Craic from The Serverless Edge Check out our book The Value Flywheel Effect Follow us on X @ServerlessEdge Follow us on LinkedIn Subscribe on YouTube

    21 分钟

关于

Welcome to Serverless Craic from The Serverless Edge with Dave Anderson, Mark McCann and Mike O'Reilly. We want to share our tools and techniques so that you can use them to communicate your Technical Strategy with your C-Suite and business owners. We want to help you to build a serverless first organisation. We will show you how to use Wardley Mapping to gain situational awareness of where your cloud applications and business are. And then how to develop your technical capability in away that builds engineering standards to set your organisation up for sustainable success.Sounds like the tools and techniques that you need - then hit the subscribe!-ABOUT- Dave, Mark and Mike are senior technical architects/leaders passionate about driving technical strategy. They have led transformation journeys, technical excellence, cloud adoption and tech strategies in many industries.Active in various technologies including ML/AI, Public Cloud (IaaS, PaaS, SaaS), Engineering, Product, Cyber and UX.