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

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

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

Episodes

June 11, 2026 12 mins
Episode 45 of Cloud Computing with Fexingo drills into why cloud providers and enterprises are urgently adopting zero trust architecture (ZTA) in 2026. Lucas and Luna unpack the CrowdStrike outage that accelerated the shift, explain how ZTA replaces the old perimeter model with continuous verification, and walk through the real-world deployment at a mid-sized fintech. They also cover the cost trade-offs—ZTA adds complexity bu...
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Episode 44 of Cloud Computing with Fexingo unpacks a subtle but costly shift in how AWS, Azure, and GCP handle firewall rules. Lucas and Luna explore why default security group configurations now allow more outbound traffic by default, how a mid-size SaaS company saw its monthly data transfer costs jump 23% after a routine security update, and what teams should check before the next quarterly review. They break down the specific po...
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This episode of Cloud Computing with Fexingo explains why cloud storage tiers — hot, cool, cold, archive — might be costing you more than a single-tier approach. Lucas and Luna break down how AWS, Azure, and Google Cloud structure their tiered storage pricing, and why lifecycle policies that automatically move data to colder tiers can backfire with hidden retrieval and minimum storage duration fees. They walk through a ...
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Episode 42 of Cloud Computing with Fexingo dives into the evolving economics of cloud data egress fees in 2026. Lucas and Luna break down why major providers like AWS, Azure, and Google Cloud are reintroducing or restructuring egress charges, even as multicloud strategies surge. They explore a concrete example: a mid-sized fintech firm that saw its monthly egress bill jump 40% after shifting workloads between regions to reduce late...
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Lucas and Luna explore the hidden performance and cost disparities between cloud provider regions. They break down why a workload in us-east-1 behaves differently than one in ap-southeast-1, using real latency data and egress pricing examples. The episode covers how region selection affects everything from user experience to cloud bills, and offers practical tips for auditing your region strategy. Tune in to learn why 'pick the nea...
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Episode 40 of Cloud Computing with Fexingo explores a quiet but critical battleground: data freshness. Lucas and Luna break down why stale data is costing companies millions in misinformed decisions, and how AWS, Azure, and GCP are now competing on real-time data infrastructure. The hosts examine a specific case — a mid-size logistics firm that cut forecasting errors by 40 percent after switching from batch to streaming analy...
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In this episode, Lucas and Luna explore why cloud bursting—moving workload spikes from on-premises to public cloud—is resurging in 2026. They focus on a specific mid-sized fintech, SwiftPay, which saved $2.3 million annually by bursting only data-intensive reconciliation jobs to Google Cloud during monthly peaks. Lucas explains how cloud providers have quietly lowered egress fees and improved interconnect latency, makin...
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Episode 38 of Cloud Computing with Fexingo explores the surprising shift happening inside AWS, Azure, and Google Cloud: they are finally making it easier to connect workloads across clouds. Lucas and Luna unpack the new cross-cloud networking services rolling out in 2026, including AWS's Direct Connect Inter-Cloud, Azure's Cross-Cloud Connect, and Google's Cross-Cloud Network. They discuss why providers are cooperating after years ...
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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 expl...
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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 T...
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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. The...
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Episode 34 of Cloud Computing with Fexingo drills into the growing strategic importance of cloud data egress fees. Lucas and Luna examine why major providers like AWS, Azure, and Google Cloud charge to move data out, how these fees have become a competitive battleground, and what enterprises can do to manage costs. They cite real examples: a fintech startup paying $80,000 per month in egress, and the recent EU regulatory scrutiny. ...
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Episode 33 of Cloud Computing with Fexingo dives into one of the most frustrating charges on your cloud bill: data egress fees. Lucas and Luna break down why AWS, Azure, and Google Cloud have been increasing egress fees in 2026, using real-world examples like a startup that saw a 40% egress cost jump after moving to a multi-cloud setup. They explore the economics behind these fees—network infrastructure costs, competitive moa...
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In this episode of Cloud Computing with Fexingo, Lucas and Luna dive into the growing role of cloud usage analytics in cutting infrastructure waste. With cloud spending now a top-three expense for many companies, a new wave of tools—like Vantage, CloudHealth, and native AWS Cost Explorer—is helping teams identify idle resources, right-size instances, and forecast costs with surprising accuracy. Lucas shares how one mid-...
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Episode 31 of Cloud Computing with Fexingo examines why AWS, Azure, and GCP are fundamentally redesigning their networking architectures in 2026. Lucas and Luna unpack the shift from traditional TCP/IP to custom protocols like SRv6 and AWS's 'Silk' initiative, exploring how this impacts latency, cost, and multi-cloud strategies. They use a specific case: how a fintech firm slashed data-transfer fees by 40% after adopting provider-n...
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Episode 30 of Cloud Computing with Fexingo dives into resiliency engineering—the practice of deliberately breaking systems in production to build stronger infrastructure. Lucas and Luna explore how Netflix's Chaos Monkey evolved into a full-blown discipline adopted by AWS, Azure, and Google Cloud. They dissect the real story behind a 2023 incident at a major European bank that lost $150 million in three hours due to a cascadi...
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Lucas and Luna dig into the numbers behind cloud reserved instances—the discounts, the lock-in, and the hidden risks. Using a real-world example of a mid-size SaaS company that committed to three-year Azure reservations, they explain how upfront payments can save 40% or waste 60% if usage patterns shift. They also weigh the trade-offs against spot instances and on-demand pricing, and discuss how AWS, Azure, and GCP are quietl...
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Most engineering teams treat the annual cloud architecture review as a formality: an afternoon with a spreadsheet, a few tag cleanups, and a pat on the back. Lucas and Luna argue that this checklist mindset is now the single biggest source of hidden cloud waste in 2026. They walk through a specific case: a mid-market SaaS company that ran a genuine zero-based architecture review, cut its monthly AWS bill by 38%, and eliminated two ...
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Lucas and Luna explore why cloud bills continue to surprise even experienced engineering teams three years after migration. They examine a real case: a mid-sized SaaS company that moved to AWS in 2023 and saw costs grow 40% year-over-year despite flat revenue. The hosts break down the three biggest culprits — unused reserved instances, data transfer between services, and developer-launched ephemeral environments — and e...
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In this episode of Cloud Computing with Fexingo, Lucas and Luna explore the strategic shift by AWS, Azure, and GCP toward Arm-based processors. Focusing on Amazon's Graviton3 chips, they break down the real-world performance gains and cost savings — up to 40% better price-performance for certain workloads. The hosts discuss why this matters for enterprises running containerized apps and databases, and how Intel and AMD are re...
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