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

Episode 79 of Cloud Computing with Fexingo dives into a quiet but seismic shift in cloud pricing: providers are moving from per-second billing to per-microsecond billing for compute instances. Lucas and Luna unpack how this started with ephemeral GPU workloads on AWS and Google Cloud, why it's spreading to general-purpose instances, and what it means for latency-sensitive applications like algorit...

Episode 78 of Cloud Computing with Fexingo examines a major shift happening across AWS, Azure, and GCP: the move toward metering and charging for API call volume. Cloud providers have traditionally included API calls in compute or storage costs, but in 2026, new billing line items are appearing for control-plane and data-plane API requests separately. Lucas and Luna break down why this is happenin...

In June 2026, cloud providers are quietly restructuring data egress fees to penalize third-party content delivery networks. Lucas breaks down how AWS, Azure, and GCP now charge up to $0.12 per GB for traffic leaving their networks to non-partner CDNs like Akamai or Cloudflare, while waiving fees for their own CDN services. Luna questions whether this is anti-competitive or just smart bundling. The...

Episode 76 of Cloud Computing with Fexingo dives into a quiet change sweeping enterprise cloud contracts: providers like AWS, Microsoft, and Google Cloud are restructuring their licensing and migration terms to financially penalize customers who keep legacy systems running. Lucas walks through a specific case — a Fortune 500 retailer that faced a $2.4 million annual surcharge for maintaining an on...

Cloud providers AWS, Azure, and GCP have introduced a new line item on enterprise bills: a per-certificate fee for shared SSL/TLS certificates used on content delivery networks and load balancers. Previously included as a free value-add, these certificates now cost $5 to $15 per month each. For companies managing hundreds of domains, that's thousands in new annual cloud costs. Lucas and Luna walk...

In this episode, Lucas and Luna dig into a new line item showing up on enterprise cloud invoices: the AI inference surcharge. Amazon, Microsoft, and Google are now charging a premium per million tokens when customers use their managed inference APIs on AWS Bedrock, Azure OpenAI Service, and Vertex AI. The hosts break down why the premium ranges from 30% to 120% above base compute costs, how it's t...

Episode 73 of Cloud Computing with Fexingo. Lucas and Luna unpack a growing line item in enterprise cloud bills: the portability penalty. As cloud providers tighten the screws on data transfer and API interoperability, moving workloads between platforms is getting more expensive. The hosts walk through a real-world example from mid-2026 — a mid-sized fintech that tried to split its AI inference ac...

Episode 72 of Cloud Computing with Fexingo explores why Amazon, Microsoft, and Google are investing billions in private long-haul fiber networks. Lucas and Luna break down the specific cost savings and performance gains — citing data on latency reduction and bandwidth pricing — and how this shifts leverage away from traditional telecom carriers. They also examine the geopolitical tensions around s...

Episode 71 of Cloud Computing with Fexingo explores how AWS, Azure, and Google Cloud are turning the global IPv4 address shortage into a new revenue stream. Lucas explains that AWS now charges $0.005 per hour for public IPv4 addresses — a 400% increase from 2024 — and Azure has followed suit with a tiered pricing model based on address scarcity. Luna highlights that the market for used IPv4 blocks...

Episode 70 of Cloud Computing with Fexingo dives into a new line item appearing on enterprise cloud invoices: the GPU reservation fee. Lucas and Luna break down why AWS, Azure, and Google Cloud are moving from on-demand GPU pricing to upfront reservation fees — citing NVIDIA's H200 and B200 demand, data center power constraints, and a shift in how cloud providers allocate scarce silicon. They walk...

Episode 69 of Cloud Computing with Fexingo digs into the newest line item appearing on enterprise cloud invoices: a carbon surcharge tied to data center energy use. Lucas and Luna trace how AWS, Azure, and GCP are rolling out carbon-addressed pricing, using real examples from a European manufacturing firm that saw its monthly cloud bill jump 4.2 percent after the fee was applied. They unpack the m...

In episode 68 of Cloud Computing with Fexingo, Lucas and Luna dive into a quiet-but-radical shift in cloud pricing: GPU instances billed by the millisecond instead of the second or hour. They trace the change from NVIDIA's H100 to the upcoming Rubin architecture, explain why providers like AWS, Azure, and Google Cloud are moving to sub-second billing for AI workloads, and unpack what this means fo...

Episode 67 explores a quiet but costly shift in cloud pricing: the new cross-region data transfer taxes that AWS, Azure, and Google Cloud have introduced in 2026. Lucas breaks down how a mid-size SaaS company's monthly bill jumped 18% when their engineering team started routing traffic through a secondary region for latency optimization. Luna questions whether these taxes are really about network...

Episode 66 of Cloud Computing with Fexingo dives into a quiet but significant shift in cloud architecture: hyperscalers like AWS, Azure, and Google Cloud are building smaller, single-availability-zone regions optimized for specific workloads—AI inference, real-time gaming, or low-latency finance—rather than massive multi-AZ data centers. Lucas and Luna unpack why this trend is accelerating in mid-...

Episode 65 of Cloud Computing with Fexingo explores a quiet but costly shift in cloud pricing: data-transfer fees within a provider's own network. Lucas and Luna break down how AWS, Azure, and Google Cloud are restructuring their internal bandwidth charges, using a mid-sized SaaS company's recent bill as a case study. They discuss why intra-region data movement was once free, what changed in late...

In this episode of Cloud Computing with Fexingo, Lucas and Luna unpack a quiet but significant shift in cloud provider negotiations: the phase-out of upfront commit credits. As AWS, Azure, and GCP push toward consumption-based models, enterprises that relied on signing three-year deals in exchange for millions in credits are finding those incentives slashed or replaced with less flexible terms. Th...

In this episode, Lucas and Luna break down how cloud providers like AWS, Azure, and Google Cloud are redesigning the physical network topology of GPU clusters to support large-scale AI training. They examine the shift from traditional leaf-spine architectures to multi-dimensional torus networks, the rise of 'superpod' designs from NVIDIA, and what this means for latency and bottlenecks. The conver...

Episode 62 of Cloud Computing with Fexingo digs into a quiet but critical shift in enterprise cloud agreements: the rise of AI-specific compute clauses. Lucas and Luna explain how AWS, Microsoft Azure, and Google Cloud are embedding AI workload definitions, GPU reservation terms, and inference pricing floors into standard contracts—often locking customers into higher minimum spends and limiting th...

Cloud providers are introducing tiered access to large language models based on compute priority and latency requirements. This episode examines how AWS, Azure, and Google Cloud are segmenting AI inference into high-priority, standard, and best-effort tiers, and what that means for pricing, performance, and application design. We discuss a specific example: AWS's new AI Inference Priority Tier, wh...

Episode 60 of Cloud Computing with Fexingo: Lucas and Luna examine the rising cost of leaving major cloud providers. They break down how AWS, Azure, and Google Cloud are redesigning their data egress fees, contract lock-ins, and migration tooling to make exits prohibitively expensive for mid-market companies. The hosts dig into a specific case study: a fintech startup that faced a $1.2 million sur...

In this episode, Lucas and Luna explore how AWS, Microsoft Azure, and Google Cloud are shifting their monetization strategies to capture AI inference workloads at the edge. With edge AI inference spending projected to reach $9.8 billion in 2026, cloud providers are rolling out specialized pricing models, including per-inference charges and tiered latency guarantees. The hosts break down a specific...

Episode 58 of Cloud Computing with Fexingo dives into the latest shift in cloud data egress pricing. Lucas and Luna break down why AWS, Azure, and Google Cloud are quietly restructuring their outbound data transfer fees in mid-2026. They explore the impact on enterprises running hybrid workloads, the rise of alternative egress-free providers, and how companies are rearchitecting to avoid surprise...

In this episode, Lucas and Luna explore the strategic shift by major cloud providers—AWS, Microsoft Azure, and Google Cloud—to design their own AI chips, moving away from reliance on NVIDIA GPUs. They discuss AWS's Trainium and Inferentia, Microsoft's Maia 100, and Google's TPU v5, examining the cost, performance, and supply chain implications for enterprises. The hosts highlight how custom chips...

Episode 56 of Cloud Computing with Fexingo drills into a pricing shift that’s quietly reshaping AI infrastructure: cloud providers are now segmenting GPU instances by memory bandwidth tiers. Lucas and Luna break down how AWS, Azure, and GCP are offering 'standard' vs 'high-bandwidth' NVIDIA H100 and B200 configurations, with up to a 40% price spread. They trace why this matters for inference vs tr...

Episode 55 of Cloud Computing with Fexingo dives into a quiet but costly trend: cloud providers are reconfiguring their instance families to offer higher vCPU counts with less memory per core. Lucas and Luna break down how this shift affects database workloads, Java applications, and containerized services. Using a real-world example of a fintech startup that saw a 23 percent cost increase after b...