Engineering Evolved

Tom Barber

Where business meets innovation and technology drives transformation. Engineering Evolved is the podcast for leaders navigating the forgotten ground between startup chaos and enterprise bureaucracy. If you're building and scaling teams at organizations in the middle — where startup rules no longer apply and enterprise playbooks are far too large — this show is for you. Hosted by Tom Barber, each episode explores the real challenges facing today's engineering leaders: scaling systems without breaking them, building high-performing teams, aligning engineering strategy with business goals, and making technical decisions that drive measurable impact. Whether you're a Director of Engineering, VP of Technology, CTO, or an IC engineer stepping into leadership, you'll find practical insights drawn from real-world experience — not theoretical frameworks that only work on whiteboards. Topics include: Scaling engineering teams and systems for growth Building effective engineering culture Bridging the gap between technical and business strategy Leadership tactics that actually work in the messy middle Making architectural decisions with limited resources Navigating organizational complexity Engineering Evolved — guiding today's leaders through the evolution of engineering. New episodes drop weekly. Subscribe now and join the conversation about what it really takes to lead engineering in the modern era.

  1. 12/15/2025

    The Trio Model: Breaking Down Business-IT Walls for Better Engineering Collaboration

    Engineering leaders learn how the Trio model can eliminate the blame game between business and IT teams. Discover practical strategies for cross-functional collaboration that actually work. The Trio Model: Breaking Down Business-IT Walls Key Topics Covered The Business-IT Dysfunction Problem Why blame games develop between business and IT teamsThe 'technical purgatory' of mid-sized companies (200-1000 employees)Common symptoms: endless backlogs, shadow IT solutions, demoralized engineersWhy Traditional Fixes Fail Hiring more managers: Adds abstraction without contextAdding more engineers: Brooks' Law in actionBetter ticketing systems: Makes misalignment visible but doesn't fix itMore meetings: Creates 'status theater' without decisionsThe Trio Model Explained Three core roles: Business owner, technical lead, designer/analyst/ops leadCo-ownership of outcomes, not just task handoffsClear decision rights to prevent gridlockNot a committee: Explicit authority assignmentImplementation Strategy Which problems warrant a trio (high ambiguity, cross-functional dependencies)Decision rights frameworkShared metrics and accountabilityStarting with 1-2 pilot areasLeadership Requirements Stop bypassing trio processes with 'urgent' requestsProtect trio time and focusHold business owners accountable for outcomesAccept timeline realitiesKey Quotes "If every request is urgent, there's no way for IT to prioritize""Shared ownership of the outcome doesn't mean you can point at someone else when your part goes wrong""The trio owns it can quickly become no one owns it"Action Items Identify 1-2 high-friction problem areasForm pilot trios with clear problem definitionsEstablish shared success metricsReview and iterate after one quarterChapters 0:00 - The Business-IT Blame Game Problem1:56 - Life in Technical Purgatory5:29 - Why Traditional Fixes Don't Work10:09 - Introducing the Trio Model15:51 - Implementation and Decision Rights23:42 - Measuring Success with Shared Metrics24:50 - Leadership Changes Required29:25 - Getting Started: A Practical Approach

    35 min
  2. 12/10/2025

    Why Your Team Rituals Are Optimized for the Wrong Thing

    How many meetings moved your team forward last week? Tom explores why most team rituals fail at building trust and alignment, sharing lessons from NASA JPL and startups on creating ceremonies that actually work. Why Your Team Rituals Are Optimized for the Wrong Thing Key Topics Covered The Missing Middle Challenge Why mid-sized companies (200-1000 employees) face unique coordination challengesToo big for startup osmosis, too small for enterprise playbooksThe need for distributed decision-making without dedicated alignment teamsTwo Contrasting Standup Experiences NASA JPL: Nightly standups across three time zones that built trust and enabled handoffsMedical Startup: Transactional daily standups that created artificial harmonyWhat made the difference: optimization for relationship building vs. status updatesThe Five Dysfunctions of a Team Framework Absence of Trust - Vulnerability-based trust, not competence trustFear of Conflict - Artificial harmony vs. productive disagreementLack of Commitment - What happens when people don't feel heardAvoidance of Accountability - When standards become suggestionsInattention to Results - Individual ego over team successThree Practical Shifts for Better Rituals Shift 1: Surface Vulnerability Leadership modeling uncertainty firstStructured moments for admitting what you don't knowMoving from posturing to problem explorationShift 2: Practice Disagreement Red team rotations in roadmap reviewsMaking challenge a role, not a personality traitEnsuring friction happens constructively in the roomShift 3: Build Shared Context (Not Just Information) The difference between "here's the roadmap" and "here's the trade-off I struggled with"Smaller cross-functional context sessions vs. large all-hands presentationsEnabling distributed decision-making through understanding reasoningKey Questions for Diagnosis How much time was spent on information transfer vs. relationship building?Did anyone admit uncertainty without it being a problem?Was there constructive disagreement that led to better outcomes?Do people understand the reasoning behind decisions, not just the decisions themselves?Resources Mentioned Patrick Lencioni's "The Five Dysfunctions of a Team" (2002)Concept of vulnerability-based trustRed team methodology for productive conflictNext Episode Preview Episode 14: The Product Trio Model - Making it Actually Work in Engineering-Heavy Organizations Chapters 0:00 - The Meeting Problem: Status Theater vs. Real Progress2:20 - The Missing Middle: Mid-Sized Company Challenges4:21 - Tale of Two Standups: NASA vs. Startup11:15 - The Five Dysfunctions Framework16:13 - Three Practical Shifts for Better Rituals23:55 - The Compounding Effect of Trust28:39 - Diagnostic Questions and Next Steps

    33 min
  3. 11/30/2025

    Why Kubernetes Is Probably Wrong for Your Mid-Sized Company

    Engineering leader Tom Barber challenges the default adoption of Kubernetes, sharing why simpler alternatives often serve mid-sized companies better and how to make pragmatic infrastructure decisions. Episode 12: Why Kubernetes Is Probably Wrong for Your Mid-Sized Company Key Topics Covered The Kubernetes Reality Check Why most mid-sized companies don't need Kubernetes complexityThe hidden costs: maintenance, YAML management, and developer experienceReal-world example from NASA: when impressive engineering doesn't solve business problemsUnderstanding Kubernetes Context Origins from Google's Borg system designed for massive scaleCore benefits: fault tolerance, auto-scaling, declarative infrastructureWhy these benefits require significant investment to realizeThe Real Downsides Complexity: Even cloud vendors are building products to hide KubernetesYAML Everything: Config management becomes a people and process problemCost at Scale: Engineering hours, infrastructure, and mental health costsDeveloper Experience: High barrier to entry and friction in feedback loopsPortability Mirage: Cross-cloud deployment still requires deep vendor knowledgeWhen Kubernetes Makes Sense Genuine scale requirements (dozens/hundreds of services)Multiple teams with dedicated platform engineering capacityComplex deployment patterns that serve real business needsPractical Alternatives VMs with Docker: Boring is good, boring is maintainableManaged Container Services: ECS/Fargate, Cloud Run, Azure Container AppsServerless: Lambda, Cloud Functions for event-driven workloadsSimple Deployment Scripts: Often cheaper than cluster managementDecision Framework: Do You Actually Need Kubernetes? What specific problem are you solving?Do you have dedicated team capacity?What's your actual scale (services, teams, traffic)?How frequently do you deploy?Have you exhausted simpler options?Resources Mentioned Free Download: "You Actually Need Kubernetes" Checklist (available in show notes)Consulting: Concept Cloud - Pragmatic infrastructure decisions for mid-sized companiesWebsite: www.conceptcloud.comContact: tom@conceptcloud.comNext Episode Preview Episode 13: "Why Your Engineers and Product Managers Still Don't Talk to Each Other (And How to Actually Fix It)" Engineering Evolved is the podcast for engineering leaders at mid-sized companies who are tired of getting advice that only works for startups or enterprises. Chapters 0:00 - Introduction: The Kubernetes Controversy3:00 - A Personal Story: Getting It Wrong at NASA4:58 - Understanding Kubernetes: Context and Core Benefits7:07 - The Real Downsides: Complexity, Cost, and Developer Experience10:49 - When Kubernetes Actually Makes Sense13:39 - Practical Alternatives to Kubernetes15:51 - Decision Framework: Do You Actually Need It?18:36 - Wrap-up and Next Episode Preview

    21 min
  4. 11/09/2025

    Cloud Migration Without the Chaos - A Product Manager's Approach

    Summary In this episode of Engineering Evolved, Tom Barber discusses the critical aspects of cloud migration, emphasizing that many migrations fail due to poor planning and execution. He contrasts successful migrations, like Netflix's, with failures like TSB Bank's, highlighting the importance of treating migration as a product launch. Barber introduces the Strangler Fig pattern as a preferred migration strategy, outlines the six Rs of cloud migration, and stresses the need for effective communication and monitoring during the process. He also provides rollback strategies and discusses the importance of chaos engineering in ensuring resilience against outages. The episode concludes with key principles for successful cloud migration, urging listeners to prioritize discipline over speed. Takeaways Half of all cloud transformations are abject failures.Successful migrations treat infrastructure like a product launch.Big Bang migrations are no longer viable.The Strangler Fig pattern allows for gradual migration.Companies should focus on replatforming rather than refactoring.Product managers should lead migration efforts, not project managers.Rollback strategies are crucial for successful migrations.Monitoring during migration is essential to avoid blind spots.Communication failures can lead to migration disasters.Speed in migration can lead to costly mistakes. (00:00) - Intro (01:02) - Title (01:45) - The Cost of Cloud Migration Failures (09:06) - The Six Rs of Application Migration (14:21) - Fall Forward Architecture and Recovery Strategies (18:54) - Monitoring During Migration (28:25) - Communication Strategies for Successful Migration

    34 min

About

Where business meets innovation and technology drives transformation. Engineering Evolved is the podcast for leaders navigating the forgotten ground between startup chaos and enterprise bureaucracy. If you're building and scaling teams at organizations in the middle — where startup rules no longer apply and enterprise playbooks are far too large — this show is for you. Hosted by Tom Barber, each episode explores the real challenges facing today's engineering leaders: scaling systems without breaking them, building high-performing teams, aligning engineering strategy with business goals, and making technical decisions that drive measurable impact. Whether you're a Director of Engineering, VP of Technology, CTO, or an IC engineer stepping into leadership, you'll find practical insights drawn from real-world experience — not theoretical frameworks that only work on whiteboards. Topics include: Scaling engineering teams and systems for growth Building effective engineering culture Bridging the gap between technical and business strategy Leadership tactics that actually work in the messy middle Making architectural decisions with limited resources Navigating organizational complexity Engineering Evolved — guiding today's leaders through the evolution of engineering. New episodes drop weekly. Subscribe now and join the conversation about what it really takes to lead engineering in the modern era.