『Cloud Computing with Fexingo: AWS, Azure, GCP, and Modern Infrastructure Conversations』のカバーアート

Cloud Computing with Fexingo: AWS, Azure, GCP, and Modern Infrastructure Conversations

Cloud Computing with Fexingo: AWS, Azure, GCP, and Modern Infrastructure Conversations

著者： Fexingo
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Cloud computing is the backbone of modern business, but the landscape is shifting fast. Lucas and Luna cut through the vendor noise to examine the real-world strategies behind AWS, Azure, and GCP — from multi-cloud architectures to edge computing and container orchestration. Each episode takes a single infrastructure decision, like choosing a database service or designing for disaster recovery, and traces its implications for cost, latency, and developer productivity. Lucas brings deep technical fluency and a journalist's skepticism toward marketing claims; Luna tests each argument against case studies from companies like Netflix, Capital One, and Adobe. They don't just compare prices — they explore trade-offs in lock-in, compliance, and operational complexity. Whether dissecting a Kubernetes outage or the economics of serverless, the conversation is always grounded in concrete specs and real bills. This is the podcast for engineering leaders and cloud architects who want to make informed bets, not follow trends. But what happens when the cloud giants change their pricing mid-contract? That's exactly the kind of tension Lucas and Luna live inside — and the conversation that will reshape how you think about infrastructure. #CloudComputing #AWS #Azure #GCP #MultiCloud #Kubernetes #Serverless #EdgeComputing #DevOps #Infrastructure #CloudArchitecture #DigitalTransformation #Technology #CloudStrategy #FexingoBusiness #BusinessPodcast #TechPodcast #CloudInfrastructure Keep every episode free: buymeacoffee.com/fexingo© 2026 Fexingo. All rights reserved. 経済学
エピソード
  • Why Cloud-Native Storage Is Your Biggest Latency Surprise

    Why Cloud-Native Storage Is Your Biggest Latency Surprise
    2026/06/07
    Episode 37 of Cloud Computing with Fexingo: Lucas and Luna dig into a problem that's catching engineering teams off guard in 2026 — cloud-native storage performance. They break down the difference between local SSD, network-attached block storage, and object storage in AWS, Azure, and GCP, using real numbers: the 1–5 millisecond baseline for EBS gp3 versus the 200–600 millisecond p99 of S3 GET requests. Lucas explains why Kubernetes stateful workloads often hit unexpected latency because CSI drivers add overhead, and Luna shares a case from a media processing startup that saw transcoding jobs double in duration after moving to cloud-native storage without re-architecting. They explore how NVMeoF, local SSDs, and new tiered cache layers are changing the game, and why your cloud bill might hide performance regressions. No generic advice — just specific trade-offs for containers, databases, and high-throughput pipelines. #CloudComputing #CloudNative #Storage #Latency #AWS #Azure #GCP #Kubernetes #NVMeoF #EBS #S3 #PerformanceEngineering #StatefulWorkloads #Technology #CloudArchitecture #FexingoBusiness #BusinessPodcast #DataStorage Keep every episode free: buymeacoffee.com/fexingo
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    11 分
  • Why Cloud Providers Are Not Your Friends on Data Egress

    Why Cloud Providers Are Not Your Friends on Data Egress
    2026/06/07
    Episode 36 of Cloud Computing with Fexingo dives into the hidden economics of cloud data egress fees. Lucas and Luna break down why AWS, Azure, and GCP are locking in customers with data transfer costs, using a real example of a mid-size SaaS company that saw its monthly bill double after moving 50 terabytes out of S3 to a rival cloud. They explain how these fees are structured, why they're rarely negotiated, and what the Federal Trade Commission's 2026 report means for enterprises. The hosts also touch on the rise of egress-free alternatives like Cloudflare R2 and Google's 'no egress' offer on Anthos. No hot takes—just a clear-eyed look at a $5 billion annual cost that most cloud architects ignore. Plus, a sincere moment about listener support keeping the show ad-free. #CloudComputing #DataEgress #AWS #Azure #GCP #CloudCosts #FTC #VendorLockIn #CloudflareR2 #GoogleCloud #CloudInfrastructure #Technology #FexingoBusiness #BusinessPodcast #CloudEconomics #DataTransfer #SaaS #CloudMigration Keep every episode free: buymeacoffee.com/fexingo
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    9 分
  • How Cloud Providers Are Making Kubernetes Cheaper in 2026

    How Cloud Providers Are Making Kubernetes Cheaper in 2026
    2026/06/06
    In 2026, running Kubernetes on the three major clouds is getting noticeably cheaper, but the savings come with strings attached. Lucas and Luna break down the specific pricing changes AWS, Azure, and Google Cloud have rolled out this year — like AWS's new Karpenter auto-scaler reducing compute overprovisioning by roughly 25 percent, Azure's reservation discounts on AKS clusters, and Google's sustained-use credits for GKE. They also dig into the catch: compute costs may drop, but networking and storage costs are rising, especially for multi-region deployments. Plus, a real example of an e-commerce company that cut its Kubernetes bill by over 30 percent by switching to spot instances and using Karpenter — and what it cost them in engineering time. This episode helps you decide whether the cloud providers' Kubernetes price cuts are a genuine win or a strategic move to lock you deeper into their ecosystems. #Kubernetes #AWS #Azure #GoogleCloud #GKE #AKS #Karpenter #CloudPricing #2026 #CloudComputing #Technology #FexingoBusiness #BusinessPodcast #CloudInfrastructure #SpotInstances #ComputeCosts #MultiCloud #DevOps Keep every episode free: buymeacoffee.com/fexingo
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    9 分
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