Épisodes

  • Serverless Craic Ep78 How the BBC Built a Serverless-First Architecture at Global Scale Case Study
    Dec 11 2025

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    How the BBC Built a Serverless-First Architecture: In this episode of Serverless Craic, Dave, Mark, and Michael explore one of the most compelling real-world examples of serverless at scale: the BBC’s serverless-first transformation.

    We break down how the BBC News engineering team delivers global, highly-spiky traffic, meets strict public-service constraints, reduces incidents, and accelerates delivery—all with a pragmatic serverless-first mindset.

    Expect insights on production readiness, architectural constraints, continuous delivery, problem prevention at scale, and how the BBC evolved a massive digital estate by keeping things intentionally simple.

    ⏱️ Chapter Markers

    00:00 – Intro
    00:03 – Welcome to the episode
    00:21 – BBC case study overview
    02:11 – Complexity, scale and global distribution
    03:42 – User experience, design systems, and history of BBC transformation
    05:03 – Serverless-first and focusing on differentiating value
    05:47 – Spiky traffic, transcoding and pragmatic trade-offs
    06:42 – Constraints and why serverless works for the BBC
    07:59 – Team size, reducing maintenance load, and continuous delivery
    08:27 – Serverless-first, not serverless-only
    09:05 – BBC traffic levels and operational performance
    09:47 – Problem prevention, reliability and long-term value
    10:02 – Improvements in BBC Media Player and user experience
    10:06 – Evolution, complexity, and Gold’s Law
    11:01 – Closing thoughts and what’s coming next
    11:08 – Outro & Call to action

    🔧 Resources & Mentions

    BBC Article – Delivering BBC Online Using Serverless https://www.bbc.co.uk/articles/clynq1gyn1ro

    The Serverless Edge – The Value Flywheel Effect Framework
    https://theserverlessedge.com/12-key-tenets-of-the-value-flywheel-effect/

    Gall's Law – Complex systems evolving from simple systems
    https://en.wikipedia.org/wiki/John_Gall_(author)

    Adrian Cockcroft – Serverless constraints and production readiness
    https://medium.com/@adrianco

    AWS Serverless Best Practices
    https://builder.aws.com/content/2pYmkuLReVaqZ29ew1P3Dn4iAvH/best-practices-for-serverless-technologies-in-aws

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    12 min
  • Serverless Craic Ep77 Mapping the Emerging Value – Chapter 19 | The Value Flywheel Effect
    Dec 5 2025

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    In this episode of The Serverless Craic, Dave, Mark, and Michael dive into Chapter 19: Mapping the Emerging Value from The Value Flywheel Effect. This chapter explores how leaders can use Wardley Mapping to uncover long-term strategic opportunities, align product thinking, and identify “land grab” moments that unlock future business value.

    The conversation covers:

    How mindset, purpose, and cloud strategy form organisational pipelines

    The three major value chains: sustainable operations, long-term goals, and land-grab opportunities

    How emerging capabilities, product thinking, and situational awareness combine to create competitive advantage

    Practical leadership behaviours and gameplay patterns from Wardley Mapping

    Examples from AI, cloud evolution, open source, and platform teams

    Why high-performing engineering organisations create the conditions for long-term innovation

    This is a deep dive for technology leaders who want to create adaptive, strategically aligned organisations capable of sensing and seizing new market opportunities.

    📍 Chapters

    00:00 – Intro
    00:12 – Setting the context: Chapter 19
    01:00 – Why long-term value isn’t just architecture
    01:50 – The future CEO as an anchor for the map
    02:25 – The three organisational pipelines
    03:30 – Sustainable operations value chain
    04:40 – Long-term goals and product mindset
    06:33 – Psychological safety, experimentation & ambition
    07:30 – Run → Grow → Transform
    09:05 – Ineffective innovation & product debt
    11:32 – The “land grab” and adjacent market opportunities
    12:51 – Cloud, customer obsession & competitive advantage
    13:57 – Revisiting the map
    15:13 – Wardley Mapping gameplay patterns
    16:20 – FUD and competitive games
    18:01 – Open source as an accelerator
    18:33 – Market enablement in the AI era
    19:07 – Toxicity, constraints & real-world leadership
    20:14 – Sensing engines, co-creation & alliances
    21:03 – Competitive moves: talent raids & fast-followers
    22:11 – Wrapping up & next steps

    🔗 Resources & Links

    📘 The Value Flywheel Effect Book
    https://itrevolution.com/the-value-flywheel-effect/

    🌍 Learn Wardley Mapping
    https://learnwardleymapping.com/

    🎙️ The Serverless Craic Podcast & Blog
    https://theserverlessedge.com/

    📚 Escape Velocity – Geoffrey Moore
    https://www.goodreads.com/book/show/11103017-escape-velocity

    🧭 Wardley Mapping Community Resources
    https://wardleypedia.org/

    👥 About The Serverless Craic

    We explore modern cloud, serverless-first engineering, Wardley Mapping, the Value Flywheel, and high-performance technology leadership — with practical insights you can apply in your organisation today.

    If you want resilient systems, rapid delivery, strong engineering culture, and adaptive strategy, you’re in the right place.

    👍 Like, Subscribe & Join the Craic

    If you enjoy these episodes, hit like, subscribe, and drop us a comment.
    Let us know what topics you'd like us to dive into next.

    Serverless Craic from The Serverless Edge
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    23 min
  • Serverless Craic Ep76 Sustainability & Innovation in Modern Cloud: Value Flywheel Chapter 18
    Nov 28 2025

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    Sustainability & Innovation in Modern Cloud: In this episode of Serverless Craic, Dave, Mark, and Michael dive into Chapter 18 of The Value Flywheel Effect — Sustainability and Space for Innovation.
    We explore why sustainable architectures, well-designed domains, situational awareness, and the innovate–leverage–commoditise cycle are essential for modern cloud leaders navigating long-term value.

    From Wardley Mapping to domain-driven design, serverless sustainability to AI-driven development shifts, this chapter brings together multiple strands of modern engineering strategy.
    If you’re leading engineering teams, shaping cloud strategy, or building adaptive systems, this one’s packed with value.

    📌 Chapters

    00:00 – Intro: dark evenings & winter vibes
    00:30 – Chapter 18 overview: Sustainability & Space for Innovation
    01:46 – Short-term thinking vs long-term clarity of purpose
    02:18 – Misusing “lean”: why not everything is a Toyota Production System candidate
    03:04 – Innovate → Leverage → Commoditise cycle: using the right mode at the right time
    04:48 – The “difficult second album”: letting go as contexts evolve
    05:26 – Anti-patterns: commoditising too early and sunk-cost fallacies
    06:43 – Domain-driven design & business domain discovery
    07:56 – Understanding your customer & real problem spaces
    08:38 – Observability, metrics & sensing your organisation
    09:24 – Why blind operation kills innovation
    10:25 – Resilience as the ability to respond to threat & opportunity
    11:30 – Stability & security before layering in AI
    12:02 – Adaptation: AI disrupting SDLCs
    13:38 – Architecting for extensibility & flow
    14:27 – Evolving systems & leveraging cloud innovations
    15:05 – True agility vs theatre
    15:57 – Situational awareness & proactive leadership
    17:31 – Frictionless developer experience & cognitive load reduction
    18:41 – Cognitive load, boundaries, and mission clarity
    20:26 – Sustainability: carbon, cost, and efficient architectures
    21:04 – Wasteful compute & why sustainable design matters
    21:29 – Green software & the Well-Architected Framework
    22:08 – Takeaways: well-architected → sustainable → resilient → innovative
    22:41 – Wrap-up & subscribe

    🔗 Resources Mentioned
    📘 Books & Frameworks

    The Value Flywheel Effect – Anderson, McCann & O’Reilly
    Team Topologies (2nd Edition) – Skelton & Pais
    Frictionless – Dr Nicole Forsgren
    Accelerate – Forsgren, Humble & Kim
    Wardley Mapping – Simon Wardley

    🛠 AWS & Cloud
    AWS Well-Architected Framework (incl. Sustainability Pillar)
    AWS Carbon Footprint Tool
    Serverless First principles & guidance (The Serverless Edge)

    🧭 Techniques & Concepts
    Innovate → Leverage → Commoditise (ILC) Cycle
    Domain-Driven Design (DDD)
    Observability & Metrics
    Cognitive Load, Flow State, Developer Experience
    Situational Awareness & Value Chains
    Garden vs Factory analogy

    Serverless Craic from The Serverless Edge
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    23 min
  • Serverless Craic Ep75 How to Build a Problem Prevention Culture (AWS Well-Architected Explained)
    Oct 17 2025

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    How to Build a Problem Prevention Culture (AWS Well-Architected Explained)
    Stop firefighting — start preventing problems.
    In this episode of Serverless Craic, Dave Anderson, Mark McCann, and Michael O’Reilly explore how engineering teams can create a problem prevention culture using the AWS Well-Architected Framework.

    They unpack lessons from Chapter 17 of The Value Flywheel Effect, showing how high-performing cloud teams use SCORP reviews (Security, Cost, Operational Resilience, Performance) to operationalise engineering excellence.
    Learn how to:
    ✅ Shift from reactive to proactive problem solving
    ✅ Build dashboards that actually drive team learning
    ✅ Scale architecture reviews across hundreds of teams
    ✅ Foster psychological safety and positive peer pressure
    ✅ Future-proof your organisation for the AI-driven cloud era

    ⏱️ Chapters

    00:00 – Intro and setup
    00:40 – What is a problem prevention culture?
    02:20 – Recognising unseen engineering work
    04:30 – Balancing delivery and engineering excellence
    05:40 – Defining “good architecture”
    07:00 – The AWS Well-Architected Framework
    08:40 – From theory to practice: SCORP sessions
    10:30 – Scaling Well-Architected reviews
    13:50 – Using dashboards for insight and improvement
    15:00 – Building trust and psychological safety
    17:00 – Peer learning and positive pressure
    19:00 – Continuous improvement in real teams
    21:00 – Measuring long-term maturity
    22:30 – Looking forward to AI-driven cloud operations
    25:00 – Outro and what’s next

    🔗 Resources

    📘 The Value Flywheel Effect → https://theserverlessedge.com/the-value-flywheel-effect

    🧭 AWS Well-Architected Framework → https://aws.amazon.com/architecture/well-architected

    🧩 SCORP Process & Templates → https://theserverlessedge.com/scorp-process-cycle

    🎙️ Serverless Craic Podcast → https://theserverlessedge.com/podcast

    💡 Follow The Serverless Edge on LinkedIn and YouTube

    Serverless Craic from The Serverless Edge
    Check out our book The Value Flywheel Effect
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    26 min
  • Serverless Craic Ep74 AWS Community Summit & Cloud Day 2025 | Serverless, AI & Bedrock AgentCore
    Oct 3 2025

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    In this episode of Serverless Craic, Dave Anderson, Mark McCann, and Michael O’Reilly share key takeaways from two major events — AWS Community Summit Manchester 2025 and AWS Cloud Day Dublin 2025.

    From psychological safety in engineering teams to serverless adoption patterns, event-driven architecture, and the rise of AI agents with Amazon Bedrock AgentCore, the discussion highlights what’s shaping cloud-native development today.

    If you’re a software engineer, cloud architect, or tech leader interested in modernisation, AI in the enterprise, serverless-first strategies, and community-led learning, this episode is for you.

    ⏱ Chapters
    00:00 – Intro & catching up
    00:55 – AWS Community Summit Manchester highlights
    02:10 – Psychological safety in engineering teams
    05:30 – AI hype, misuses & team impact
    07:10 – Women in Tech track & allyship
    08:30 – Event-driven architecture & domain-driven design
    10:45 – Modernisation talks & API boundaries
    12:00 – The reality of AI adoption in enterprises
    14:55 – Serverless adoption patterns & challenges
    15:53 – AWS Cloud Day Dublin highlights
    17:45 – AI agents and Amazon Bedrock AgentCore
    19:14 – Challenges of agentic user experiences
    20:15 – Securing and testing AI systems (OWASP LLM Top 10)
    21:00 – Well-Architected Framework (SCORP) talk
    21:39 – Power of community learning
    22:22 – Wrap up & next episode preview

    🔗 Resources & Mentions

    The Serverless Edge Website: https://theserverlessedge.com

    Follow us on LinkedIn: https://www.linkedin.com/company/the-serverless-edge/

    The Serverless Edge GitHub – SCORP: https://github.com/ServerlessEdge/SCORP

    Amazon Bedrock & AgentCore: https://aws.amazon.com/bedrock/

    Event Catalogue: https://eventcatalog.dev/

    Serverless Craic from The Serverless Edge
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    23 min
  • Serverless Craic Ep73 Liberty Mutual’s Cloud Journey to Serverless
    Sep 26 2025

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    In this episode Dave Anderson, Mark McCann, and Michael O’Reilly revisit their time at Liberty Mutual, exploring how one of the world’s largest insurers transformed from legacy systems and SOA to cloud-native architectures and serverless-first strategies.

    Discover how Wardley Mapping, empowered engineering teams, and a strong cultural foundation enabled Liberty Mutual to modernise at scale and deliver business value faster.

    We cover:

    Moving from mainframes and monoliths to microservices and serverless

    Building agile, product-led teams that own security, testing, and operations

    Using Wardley Mapping to make strategic technology bets

    Lessons on cloud adoption, change management, and leadership in a Fortune 100 enterprise

    👉 If you’re a CTO, software architect, or engineering leader, this case study is packed with insights on modernisation and enterprise cloud transformation.

    ⏱️ Chapter Markers

    0:00 – Introduction
    0:34 – Liberty Mutual in Belfast: tackling hard problems
    2:21 – Strategic mindset of a mutual insurance company
    3:49 – Early SOA systems and first encounters with cloud
    4:49 – Microservices before it was mainstream
    6:14 – Enter serverless: below the line vs above the line
    8:38 – Technology manifesto and cultural change
    10:25 – Learning from world-class infrastructure engineers
    13:53 – Wardley Mapping and spotting key enablers
    16:08 – CDK, BDD, and shifting left
    18:20 – Security, threat modelling, and shifting responsibilities
    19:58 – Product thinking and “next best action”
    21:31 – Working with auditors and external stakeholders
    22:18 – Upskilling, conferences, and internal evangelism
    24:08 – Business impact and scaling during COVID
    25:39 – Change management: it takes a village
    26:45 – External evangelism and organisational support
    27:22 – Next episode teaser: Problem Prevention Culture

    📚 Resources & Links

    🌐 The Serverless Edge https://theserverlessedge.com
    – Thought leadership on modern cloud

    🎧 Podcast on Spotify

    🎥 More episodes on YouTube

    📖 The Value Flywheel Effect – by David Anderson, Mark McCann & Michael O’Reilly https://thevalueflywheeleffect.com

    Serverless Craic from The Serverless Edge
    Check out our book The Value Flywheel Effect
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    28 min
  • Serverless Craic Ep72 Map Your Tech Stack | Evolutionary Architecture & The Value Flywheel Effect
    Sep 5 2025

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    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
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    19 min
  • Serverless Craic Ep71 AI, DevOps & Serverless: Building Frictionless Developer Experience
    Aug 29 2025

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    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
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    30 min