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The Software Engineering Podcast with Fexingo: Code, Architecture, and Engineering Best Practices

The Software Engineering Podcast with Fexingo: Code, Architecture, and Engineering Best Practices

By: Fexingo
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Lucas and Luna sit down at side-by-side laptops to talk about the craft of building software. Each episode picks a single engineering challenge — optimizing a database query for latency, designing a fault-tolerant microservice boundary, refactoring a legacy monolith without breaking production — and walks through the trade-offs with real code examples and benchmark numbers. They debate testing strategies (integration vs. end-to-end, when to mock), revisit classic papers on distributed systems and data structures, and trace how architectural decisions cascade into operational costs. The show serves senior developers, staff engineers, and technical leads who want to hear reasoned, specific conversations about trade-offs and rigor — not hype about the latest framework. Lucas brings the journalist's habit of asking why a team chose one pattern over another; Luna pushes back with real-world failure stories from her own career. Together, they treat software engineering as a discipline of explicit decisions and measurable outcomes. No hot takes, no 'best practices' without context. Just two engineers thinking out loud about how to build systems that last. What does it actually cost to ship a feature with 99.99% uptime — and when is that the wrong target? #SoftwareEngineering #SystemArchitecture #CodeQuality #DistributedSystems #DatabaseOptimization #Refactoring #TestingStrategy #Microservices #Monolith #PerformanceEngineering #CleanCode #TechDebt #EngineeringCulture #PairProgramming #FexingoBusiness #BusinessPodcast #Technology #EngineeringBestPractices Keep every episode free: buymeacoffee.com/fexingo© 2026 Fexingo. All rights reserved. Economics
Episodes
  • How One Engineer Recalled a Wrong Production Deploy in 8 Seconds

    How One Engineer Recalled a Wrong Production Deploy in 8 Seconds
    Jun 30 2026
    In this episode, Lucas and Luna dive into the story of an engineer at a mid-size SaaS company who accidentally deployed a breaking change to production on a Friday afternoon. Instead of a panicked 20-minute scramble to revert via Git, she had already set up a one-line rollback script — a single shell command that restored the previous deployment image in under 10 seconds. The hosts break down how she built a pre-deployment safety net: an immutable release tag, a pre-push hook that verified the tag existed in the container registry, and a simple 'rollback.sh' that ran 'kubectl set image' from a known-good manifest. They discuss why most teams focus on deployment speed but ignore rollback speed, and how this engineer's approach — treating rollback as a first-class operation — saved her team 40 cumulative hours over the next quarter. Luna questions whether the script could handle database migrations; Lucas explains the pattern of 'expand-contract' migrations that separate schema changes from code deployments. The episode closes on a forward-looking note about chaos engineering and deliberately testing rollback paths. #RollbackScript #ProductionDeploy #IncidentResponse #DevOps #Kubernetes #ShellScripting #EngineeringCulture #SiteReliability #ContinuousDeployment #ImmutableReleases #PrePushHook #DatabaseMigrations #ExpandContract #ChaosEngineering #FexingoBusiness #BusinessPodcast #SoftwareEngineeringPodcast #Technology Keep every episode free: buymeacoffee.com/fexingo
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    7 mins
  • How an Engineer Reduced Docker Image Size by 95 Percent

    How an Engineer Reduced Docker Image Size by 95 Percent
    Jun 29 2026
    In episode 81 of The Software Engineering Podcast, Lucas and Luna explore how a senior DevOps engineer at a mid-sized SaaS company shrunk Docker images from 1.8 GB to under 90 MB — cutting deployment times by 70 percent and saving $12,000 a year in storage costs. They walk through the specific techniques used: multi-stage builds, Alpine base images, distroless runtimes, and layer optimisation. The conversation also touches on how these principles apply beyond containers, from CI pipelines to serverless deployments. If you've ever wondered why your Docker images are bloated or how to shrink them without breaking anything, this episode gives you a concrete playbook. #Docker #ContainerOptimisation #DevOps #MultiStageBuilds #AlpineLinux #DistrolessImages #LayerCaching #CI_CD #CloudCostOptimisation #SoftwareEngineering #Technology #FexingoBusiness #BusinessPodcast #EngineeringBestPractices #SaaSInfrastructure #DockerImageSize #SeniorDevOps #DeploymentSpeed Keep every episode free: buymeacoffee.com/fexingo
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    9 mins
  • How One Engineer Cut Logging Costs 90 Percent Without Losing Observability

    How One Engineer Cut Logging Costs 90 Percent Without Losing Observability
    Jun 29 2026
    Episode 80 of The Software Engineering Podcast dives into a specific cost-optimization story: how a senior engineer at a mid-size fintech company reduced their cloud logging bill by 90 percent — from $80,000 per month to under $8,000 — without sacrificing the signal their on-call team relied on. Lucas and Luna walk through the technical decisions: switching from structured JSON logging to a custom binary format with protobuf, implementing a two-tier retention policy that kept high-cardinality metrics hot for only 24 hours, and writing a smart sampling layer that preserved 100 percent of error traces while dropping 95 percent of repetitive success logs. They discuss the trade-offs — longer query times on cold storage, the learning curve for the team, and the initial pushback from developers used to grep-friendly logs. The episode ends with a practical framework any team can adapt: measure your log volume per service, identify the noisiest sources, and ask whether every field in every log line earns its storage cost. #SoftwareEngineering #CloudCosts #Observability #Logging #Fintech #Protobuf #BinaryFormat #Sampling #RetentionPolicy #CostOptimization #EngineeringPodcast #FexingoBusiness #BusinessPodcast #Technology #LogManagement #Scalability #DevOps #SiteReliability Keep every episode free: buymeacoffee.com/fexingo
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    9 mins
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