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Code To Cloud

Code To Cloud

Written by: Kevin Evans
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Code to Cloud — Ship It. Scale It.

Learn how to build, secure, and scale in the cloud.

Each week, Code to Cloud dives deep into the technologies and strategies driving modern cloud computing, AI platforms, DevSecOps, and platform engineering — with insights you can apply right now.

Hosted by Kevin Evans, Senior Solutions Engineering Lead at Microsoft and fractional CTO at Code to Cloud, every episode features experts across the spectrum — from cloud architects and AI platform engineers to startup founders and security leaders who’ve built real-world systems at scale.

You’ll get:

  • Proven approaches to cloud-first infrastructure and automation
  • Deep dives into AI-powered platforms and intelligent delivery pipelines
  • Playbooks for platform engineering, security, and scaling
  • Career stories and lessons from top builders and tech leaders

No fluff. No theory. Just the knowledge and tactics to help you ship faster, scale smarter, and grow your career in the cloud era.

🎧 New episodes weekly

📍 Show notes and resources at codetocloud.io

Copyright © 2026 Code to Cloud Inc. All rights reserved.
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Episodes
  • Agentic DevOps: Transforming Software Delivery Beyond Traditional AI🎙️
    Jun 30 2026
    Accelerating DevOps and AI Integration with Paul Duvall In this episode of Code to Cloud, Kevin Evans talks with Paul Duvall, award‑winning author, software engineer, and AI‑driven DevOps leader. They explore how AI agents, automation, and modern engineering practices are reshaping software development, testing, and deployment. Learn how to build trust in AI systems, accelerate feedback loops, and deliver more reliable software at scale. --- Episode Highlights • Paul’s journey from building large systems to founding Redacted Ventures • Why static analysis, testing, and early feedback loops remain essential • Harness engineering and codifying best practices with Claude Code and Claude MD • The evolution of CI and the value of trunk‑based development • Progressive delivery, feature flags, and trust scores for safer deployments • How AI can monitor production, assist in bug fixes, and feed telemetry back into development • Reducing friction and shrinking queues to speed up delivery • Recommended DevOps resources from Jez Humble, Gene Kim, Martin Fowler, and others • Upcoming industry events including the AI Engineer World Fair Timestamps 00:00 – Introduction and guest credentials 02:00 – Paul’s early days in software engineering and the rise of DevOps 07:15 – The impact of AI on coding and automation practices 12:30 – Implementing harness engineering and codifying best practices 17:00 – Progressive delivery techniques and deployment strategies 22:00 – Resources for DevOps and CI mastery 28:45 – Building trust with AI in production environments 33:00 – Streamlining code review and PR processes with AI agents 38:30 – The importance of feedback loops and shrinking queues 43:00 – Future of AI in software delivery and recommendations --- Resources and Links • Continuous Integration — Paul Duvall https://www.amazon.ca/Continuous-Inte... • The DevOps Handbook — Gene Kim, Jez Humble, et al. https://www.amazon.ca/DevOps-Handbook... • Accelerate — Nicole Forsgren https://www.amazon.ca/Accelerate-Soft... • Martin Fowler’s blog on Continuous Integration https://www.martinfowler.com/articles... • Redacted Ventures https://www.redactedventures.com • AI Engineer World Fair (San Francisco) https://www.ai.engineer/worldsfair/2026
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    47 mins
  • From Certifications to Field CTO: A Developer’s Journey Through Tech & AI🎙️
    Jun 15 2026

    Code To Cloud Presents:

    Most developers don’t realize how close we are to running powerful, personalized AI models locally without sacrificing privacy, performance, or control.

    If you’re frustrated with oversized cloud models, rising costs, or AI systems flooding the internet with low‑quality content, this episode offers a grounded perspective on what’s possible today.

    Kevin Evans sits down with Chris Williams, AWS Hero and Field CTO at Six Feet Up, to explore the future of local AI, open‑source tooling, and ethical development.

    Chris shares how he moved from traditional data centers to building AI systems that support real societal needs, including climate research, healthcare, and disaster prediction.

    They discuss how smaller, smarter models can run on everyday hardware, from a MacBook Pro to a single server, eliminating cloud dependency and reducing environmental impact.

    You’ll hear how a small AI dev shop helped NASA detect lightning strikes within 200 feet, why massive models are often overhyped, and how open‑source projects like OpenCode are reshaping local development.

    The conversation covers the AI hype cycle, security concerns, deepfakes, and the ethics of autonomous systems, along with practical advice for building your own local AI setup.

    This episode is ideal for developers, cloud professionals, and anyone interested in building AI that is efficient, ethical, and genuinely useful.

    Kevin and Chris offer a balanced view of AI’s potential to improve healthcare, fight climate change, and empower individual creators when used responsibly.

    Guest Bio: Chris Williams is an AWS Hero and the first Field CTO at Six Feet Up, recognized for his work in cloud architecture, AI ethics, and community‑driven technology education.

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    50 mins
  • How Neo Financial Built a Cloud-Native Fin-Tech from Scratch & Challenges Legacy Systems🎙️
    Jun 1 2026

    Most fintech startups dream of building a bank, but Neo Financial is redefining what’s possible by starting in the cloud.

    In this episode of the Code to Cloud podcast, host Kevin Evans sits down with Fahad Zaidi, Director of Software Development at Neo Financial, to discuss how a Calgary startup scaled into one of Canada’s most ambitious digital banks using a tech-first, customer-focused approach.

    Fahad shares how Neo Financial built a cloud-native platform designed for speed, scalability, and innovation without the limitations of legacy banking systems. The conversation explores how modern engineering practices, strong developer experience, and disciplined execution allow Neo to serve millions of customers while continuously evolving its products.

    In this episode, we discuss:

    How Neo Financial built its banking platform using cloud-native infrastructure and microservices architecture How the team reduced developer onboarding from weeks to hours Balancing innovation with compliance, regulation, and security requirements How partnerships with established financial institutions enable rapid fintech growth The role of AI and automation in fraud detection, personalization, and customer experience Why a customer-obsessed mindset is central to Neo’s long-term vision

    This episode is ideal for fintech founders, engineering leaders, software developers, and technology enthusiasts interested in modern banking, cloud architecture, and large-scale software systems.

    Host Kevin Evans https://www.linkedin.com/in/kevinevans01

    Guest Fahad Zaidi https://www.linkedin.com/in/fahadzaidi/

    Code to Cloud Podcast https://codetocloud.io

    If you’re interested in building faster, smarter, and more customer-centric financial platforms, this conversation offers practical insights into what it takes to challenge established banking models and build the future of finance.

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    44 mins
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