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

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 A...

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 A...

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 ephemer...

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,...

Episode 25 of Cloud Computing with Fexingo tackles the rising pressure on cloud customers to measure and report their carbon emissions. Lucas and Luna explore why cloud providers like AWS, Azure, and GCP now offer carbon-tracking tools, how regulators in the EU and California are pushing for Scope 3 disclosures, and what a mid-size SaaS company discovered when it ran its first cloud carbon audit....

Episode 24 of Cloud Computing with Fexingo: Lucas and Luna break down the shifting economics of cloud GPU rental in mid-2026. After years of shortages and sky-high prices, the market is turning. Lucas explains how NVIDIA's Blackwell supply ramp, AMD's MI400 launch, and a wave of new AI-specific cloud startups are driving GPU costs down by 30% year-over-year for certain workloads. Luna asks whether...

Episode 23 of Cloud Computing with Fexingo digs into the phenomenon of post-migration cost creep: why cloud bills often spike 30-50% in the first six to twelve months after moving from on-premises. Lucas and Luna explore the root causes — from unused idle resources and over-provisioned instances to the hidden cost of data egress and the 'stepping-stone' trap where teams migrate with lift-and-shift...

Episode 22 of Cloud Computing with Fexingo explores why the biggest cloud providers—AWS, Google Cloud, Microsoft Azure—are pouring billions into designing their own custom chips. Lucas and Luna break down the specific economics driving this shift, from Arm-based processors to AI accelerators. Using concrete examples like AWS's Graviton and Google's TPU, they explain how custom silicon reduces cost...

Episode 21 of Cloud Computing with Fexingo tackles the shift from x86 to Arm-based processors in cloud data centers. Lucas and Luna examine AWS Graviton, Ampere Computing's Altra, and the economics driving this transition. They discuss real-world performance benchmarks, software ecosystem challenges, and what it means for your cloud bill. If you're managing cloud infrastructure, this episode expla...

This episode of Cloud Computing with Fexingo unpacks why developer experience—not raw performance—is the new battleground for AWS, Azure, and GCP. Lucas and Luna dig into how AWS's CDK, Azure's Dev CLI, and Google's Application Integration service are shifting cloud provider competition from infrastructure specs to developer tooling. They explore the strategic calculus: why a better CLI or SDK can...

In this episode of Cloud Computing with Fexingo, Lucas and Luna dive into the shared responsibility model for cloud security—a concept that sounds straightforward but trips up even experienced teams. Using a real 2025 breach at a mid-size SaaS company as the case study, they break down exactly where the cloud provider's job ends and the customer's begins. You'll learn how misconfigured S3 buckets,...

Episode 18 of Cloud Computing with Fexingo explores the recent trend of cloud providers quietly increasing data egress fees. Lucas and Luna break down why AWS, Azure, and GCP are raising these costs, how it impacts multi-cloud strategies, and what companies are doing to avoid the new charges. With real-world examples like a fintech startup's $200,000 monthly bill and a media company's shift to edg...

In this episode of Cloud Computing with Fexingo, Lucas and Luna explore the often-overlooked cost of cloud provider lock-in — not just the financial cost, but the strategic and operational risks. They dive into a specific case: a mid-sized fintech company that built its entire data pipeline on AWS Glue and Kinesis, only to find migrating to Azure would cost over $2 million and require rewriting 70...

In this episode of Cloud Computing with Fexingo, Lucas and Luna unpack the economics behind cloud reserved instances — the long-term commit offers from AWS, Azure, and GCP that promise discounts but lock you in. They walk through a real scenario: a mid-stage SaaS company that saved 30% on compute by shifting from on-demand to a three-year commit, only to later realize they over-provisioned by 40%....

Lucas and Luna unpack a hidden cost in cloud infrastructure: the storage tier trap. Most companies store data in hot tiers by default, but infrequently accessed 'warm' or 'cold' data can cost 3x-10x more than necessary. They examine a real case: a mid-size SaaS company that slashed its AWS bill by 40 percent by reclassifying just 15 percent of its storage. The episode covers the economics of hot v...

Lucas and Luna examine how cloud migration strategies have shifted in the first half of 2026, focusing on the rising complexity of repatriation and hybrid architectures. They discuss a specific case: a mid-size fintech that moved 30 percent of its workloads back on-premises after a two-year cloud-first push, saving 18 percent on compute costs but facing unexpected data synchronization hurdles. The...

Lucas and Luna break down why AWS, Azure, and Google Cloud are aggressively promoting spot instances — the spare compute capacity sold at up to 90 percent discount. They explore the economics behind the push: cloud providers have massive fixed infrastructure costs and idle capacity, especially after the post-pandemic demand normalization. The hosts walk through a real-world example of a media comp...

Episode 12 of Cloud Computing with Fexingo tackles the often-overlooked expense of regulatory compliance in the cloud. Lucas and Luna explore how frameworks like GDPR, HIPAA, and PCI-DSS drive up infrastructure costs far beyond compute and storage. Using a real-world example of a mid-sized healthcare company moving patient data to AWS, they break down the specific compliance burden: encryption ove...

Lucas and Luna dig into a single number: the $100 million plus price tag to train a frontier AI model on the cloud. They break down where that money actually goes — compute, data movement, developer time — and why cloud providers are racing to build AI-optimized data centers. The episode uses Anthropic's reported training costs as a concrete anchor, then widens to explain how GPU scarcity and powe...

A quiet but massive shift is underway in cloud infrastructure: Amazon, Microsoft, and Google are all deploying custom Arm-based processors to compete with Intel and AMD. In this episode, Lucas and Luna break down why the industry is moving beyond x86 — starting with AWS Graviton, which now powers over a million instances. They discuss the economics: Arm chips can cut compute costs by 20 to 30 perc...

Episode 9 of Cloud Computing with Fexingo tackles the cloud exit penalty — the hidden cost of moving data and workloads out of AWS, Azure, or GCP. Lucas and Luna break down the numbers behind egress fees, the $10,000 test case of a mid-sized SaaS company trying to leave AWS for on-prem, and what the new EU Data Act means for cloud portability. They explore whether the Big Three cloud providers del...

Lucas and Luna dig into the hidden cost crisis inside Kubernetes clusters — the so-called 'cluster tax' that silently inflates cloud bills. Lucas breaks down how a mid-sized SaaS company discovered its Kubernetes control plane, logging daemons, and idle pod overhead were costing $47,000 a month more than expected. They discuss why most teams track only compute and storage, missing the orchestrator...

Lucas and Luna unpack the surprising price differences for identical cloud services across AWS, Azure, and GCP regions. Lucas reveals that the same virtual machine can cost 40% more in one region versus another, even within the same continent. They explore why Brazil, Australia, and Southeast Asia command premiums, how data sovereignty laws inflate local pricing, and whether 'region arbitrage' is...

When Germany's largest healthcare insurer, Techniker Krankenkasse, moved patient records off AWS to a sovereign cloud in Frankfurt, the project took eighteen months and cost triple the original estimate. Episode 6 of Cloud Computing with Fexingo unpacks the data residency challenge that is quietly forcing enterprises to rethink where and how they run workloads. Lucas and Luna trace the cascade: GD...

Lucas and Luna explore the paradigm shift from servers to functions with AWS Lambda. They walk through a real-world migration at a mid-sized fintech that cut costs by 40% and reduced deployment time from hours to seconds. The hosts debate cold starts, vendor lock-in, and whether serverless is ready for heavy lifting. Along the way, they share a concrete example of a startup that scaled from zero t...