What's new in Cloud FinOps?

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Recorded on 30 September 2026, this episode of "What’s New in Cloud FinOps" brings together Frank Contrepois and Stephen Old for a comprehensive roundup of the latest developments across AWS, Google Cloud, Oracle Cloud Infrastructure (OCI), and Alibaba Cloud. With a significant focus on the rapidly evolving world of Generative AI cost management, sustainability, and cloud governance, this instalment was recorded live from the GreenIO Conference foyer in London. Expect a lively, candid flow with real-time analysis.
Generative AI & Machine Learning Cost Control
The episode kicks off with major updates for Amazon Bedrock, SageMaker, and other cloud AI offerings.
Amazon Bedrock Agent Core Payments (GA): A key discussion point is that agents can now autonomously discover, access, and pay for paid APIs and content. This presents a major governance challenge, risking unmanaged spend and fragmented cost visibility. The hosts stress the need for spending caps, approval workflows, per-agent budgets, and unified cost aggregation.
Amazon Bedrock Cost Allocation & Anomaly Detection: Bedrock now supports IAM principal cost allocation, allowing organisations to track usage back to specific users and roles in the CUR. Additionally, AWS Cost Anomaly Detection now covers third-party Foundation Models like Anthropic's Claude.
Bedrock Pricing (OpenAI GPT-5.6): Promotional pricing is available at $4/million input tokens and $20/million output tokens (a claimed 20-33% reduction), valid through at least 21 November 2026.
Amazon SageMaker: A new guided, low-code/no-code path in SageMaker Studio simplifies finding cost-effective inference configurations for custom models.
Google Cloud BigQuery: Introduced preview monitoring for data agent performance, latency, and conversation costs through Google Cloud observability.
Oracle Cloud Infrastructure (OCI): August's AI update expanded hardware choices and on-demand inference for Cohere and Meta models.
Calculating AI ROI: Frank highlights an AWS article by Adam Richter on presenting AI return on investment. Steve recalls a previous podcast with Adam discussing a Cornell "levelised cost of AI" study, emphasising the need for measurable value.
From AI Pilots to Production: The hosts discuss how many AI pilots run too long without a clear "exit to value" plan. Frank’s workshops focus on defining proof-of-value criteria and graduation paths to production. Research shows 59% of organisations report increased AI spend wastage, while only 31% have accurate visibility.
Commitments, Pricing Models & The New "SAM" Challenge
A clear trend is the application of traditional cloud commitment models to AI services, creating new challenges where FinOps and Software Asset Management (SAM) collide.
Google Cloud: Introduced flexible, spend-based Savings Plans for Gemini Enterprise (10% for one year, 20% for three years) and a forthcoming "deferred execution" option offering up to a 50% discount for non-urgent jobs.
Alibaba Cloud: Launched AI Savings Plans for Model Studio on 28 August 2026, with discounts up to 47%. They also introduced batch inference pricing at a 50% discount.
The FinOps/SAM Collision: Models like Gemini Enterprise and Azure Copilot Studio blend per-user subscriptions with pay-as-you-go agent workloads. This creates a challenge in determining who owns which piece of the cost and how credits and commitments apply across teams.
Hidden Risks & Governance Gaps
Third-Party AI EULAs: Stephen highlights a critical risk: when a user accepts the End-User License Agreement (EULA) for a third-party model (e.g., Anthropic on Bedrock), they could be binding their entire organisation to the provider's standard terms without legal or procurement oversight.
Intellectual Property Risk: Frank points to a recent HBR article discussing how the "how" of AI usage—the prompts and methods—may not be protected, potentially exposing valuable IP.
Cloud Infrastructure & Cost Management Updates
AWS Compute:R9g/R9gd instances (Graviton 4): AWS claims up to 25% better compute, but Frank's analysis shows an 8-25% price uplift. FinOps takeaway: benchmark workloads before migrating.
ECS fractional GPU scheduling: ECS now supports fractional GPU allocations on EC2 g6f, ideal for right-sizing smaller ML/AI workloads and improving utilisation.
ElastiCache on Graviton 4: Offers ~40% higher throughput and ~31% better price-performance, but with higher memory costs.

AWS Database & Analytics:Aurora Serverless: Can now scale to 12 ACU in ~1 second, reducing the need for high steady baselines, but requiring guardrails to prevent cost spikes.
RDS for SQL Server BYOM: "Bring Your Own Media" is extended to more regions, requiring careful audit documentation.
Oracle AI Database on AWS Exascale: Oracle Exadata DB Services now generally available via AWS, signalling evolving multi-cloud coexistence.
AWS Glue 6.0 GA: A ~30% price reduction and runtime upgrades (Spark 4.1, Python 3.13) offer immediate savings opportunities.
AWS Glue Data Quality: Anomaly detection is now free with an improved "observation mode".
Amazon Kinesis: Can now deliver data directly to S3 in Iceberg format, potentially lowering delivery and query costs.

AWS Billing & Lambda:AWS Data Exports: Now supports SQL-based row filtering at the source to create pre-filtered reports.
AWS Billing Managed Dashboards: An official, pre-configured version of the popular open-source Cost Intelligence Dashboards.
AWS Lambda: Recursive loop detection is now available in all commercial regions, reducing the risk of runaway bills.

Google Cloud:BigQuery: Offers cost-effective cross-cloud connections (preview) but restricts Graph processing to Enterprise/Enterprise Plus editions.
Billing Reports: A new "originating products" filter helps trace costs back to their source.
Semantic Tags: A preview feature to automatically propagate application context to resources for better cost allocation.
Storage Rapid Cache: Now allows selective ingest filtering to reduce expenditure.

Oracle Cloud Infrastructure (OCI):Autoscaling for Red Hat OpenShift: New capability driven by licensing alignment with Red Hat/IBM.
Service Limits: OCI has streamlined the service limit increase experience in the console.

Sustainability Updates
New Availability Zones: New zones in London (EU-West-2D) and Las Vegas seem focused on AI training, raising questions about sustainability trade-offs.
Google Cloud Carbon Methodology: A refresh offers more granular certificates and hourly electricity matching for better precision.
Green Software Foundation: The "Beyond Watts" paper encourages evaluating environmental impact beyond just electricity consumption.
Productivity AI
Amazon Q for Microsoft 365: Now generally available for Excel, Word, etc., bringing AI into daily workflows but raising data governance questions.
Referenced Resources & Links
Frank’s instance price/performance comparison tool: https://aws.frankcontrepois.com/comparisons/

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July Episode — What's New in Cloud FinOps

Episode Summary
In this July episode of What's New in Cloud FinOps, Frank and SteveO cover a packed set of cloud and AI cost-management updates across AWS, Azure, Google Cloud, Oracle, Alibaba, and OpenAI. The conversation focuses on how cloud vendors are changing pricing models, improving observability, and adding new ways to optimize compute, storage, and AI workloads.

The standout theme is that AI and cloud economics are becoming more dynamic: pricing is shifting by usage pattern, time of day, workload type, and capacity model. The hosts also dig into how organizations can use these changes to improve governance, control costs, and make smarter architecture decisions.

Top Topics Covered
AWS EKS and ECS GPU management fee reductions
Amazon CloudWatch intelligent tiering for logs
Amazon S3 removing the 30-day minimum for storage class transitions
AWS Billing and Cost Management adding a cost efficiency widget
AWS Data Exports adding standardized Bedrock metadata
AWS Lambda publishing logs for managed capacity providers
Azure reservation exchange changes and legacy VM RI renewals
Alibaba Cloud time-of-day pricing for frontier AI models
Alibaba model routing reference architecture
OpenAI GPT model price cuts and Bedrock matching those rates
Oracle bringing Gemini models into OCI
Google Data Stream free tier for CDC writes
Amazon OpenSearch Service optimized for log analytics
Microsoft Marketplace single-click SaaS purchases
AWS sustainability dashboard adding water withdrawal data

Key Takeaways
AI pricing is getting more sophisticated.

Providers are increasingly using variable pricing, off-peak discounts, and routing strategies to steer usage and improve margins.
Cloud optimisation is moving deeper into the platform.

Vendors are surfacing more native tools for cost visibility, efficiency scoring, and policy-driven automation.
Storage and logging are becoming more cost-aware.

New features in S3, CloudWatch, and OpenSearch help teams store more data for less while keeping observability usable.
Governance and procurement remain critical.

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Title: What's New in Cloud FinOps - June 2026
Hosts: Frank Contrepois and SteveO
Summary
In this episode, Frank and SteveO navigate through the latest cloud offerings and AI advancements, revealing how these updates impact performance, costs, and operational strategies across Azure, AWS, and AI applications. Stay tuned for insights into new VM generations, cost management tools, and cutting-edge AI features.

Key Topics:
Azure's new Cobalt 200V and 100V VMs deliver up to 50% better CPU performance
Introduction of AWS's Metal 48XL/96XL and enhanced EC2 instances with sixth-generation Intel Xeon
Latest AWS Graviton 5 processors offering up to 25% better compute performance
Enhanced Amazon EC2 G7 instances powered by Nvidia RTX Pro 4500
AWS Cost Management updates, including automatic cost anomaly investigations and new billing tools
AWS's support for region-agnostic throughput reservations in Azure
The rise of AI and automation in cost optimization: new tools, models, and use cases
Cloud vendors' announcements on energy-efficient storage, reserved pricing, and billing analysis tools
Timestamps:
00:00 - Cloud news roundup: performance boosts in Azure VM series
00:20 - Azure's new Cobalt 200V VMs: performance and AI workload optimization
01:32 - AWS launches Metal 48XL/96XL: CPU advancements and network enhancements
02:50 - Introduction of AWS M9G/M9GD instances with AWS Graviton 5 processors
04:36 - AWS's latest EC2 G7 instances with Nvidia RTX GPUs for AI and visual workloads
05:43 - Cost efficiency improvements with new pricing models and snapshot billing
09:28 - Redshift advances with manual snapshot cost reductions
10:12 - AI models on Bedrock: GPT 5.5, Codex, and OpenAI integrations
12:24 - Innovations in cloud billing: cost explorer, cost anomaly detection, and billing account tools
13:00 - Cost & Usage Report 2.0 enhances S3, Athena, and Redshift integration
14:23 - Google Cloud billing updates: report export improvements and new filtering options
15:19 - AWS's right-sizing and resource optimization enhancements
16:12 - Cost explorer AI integrations and automated cost investigations
17:10 - New AI-powered tools for cost anomaly root-cause analysis
18:16 - Multi-project billing views and resource management in AWS
19:04 - Advanced export configurations to streamline billing data handling
20:06 - Google Cloud's spot VM real-time availability features
21:36 - Enhanced tagging, resource management, and API capabilities in AWS and Google Cloud
24:11 - Azure's VM retirements, storage, and reservation updates
26:15 - Redshift's new upfront pricing options for reserved instances
27:35 - Global provisioned throughput reservations now regional in Azure for flexibility
28:44 - Storage charges optimizations and vector query cost reductions on S3
30:10 - Using finops.frankcontrepois.com for AI-driven FinOps
34:08 - The importance of separating AI from automation in cloud efficiency strategies
36:17 - Resources like the Phoenix Project and The Goal for understanding process optimization and AI impact
37:34 - Support for new resource types and idle recommendation expansion in AWS Compute Optimizer
38:50 - Cost and performance insights into specific resource wastage
39:16 - AWS's State of Cost Efficiency Report: benchmarking and industry insights
40:52 - AWS FinOps agents preview: automated cost and anomaly management workflows
42:23 - Programmatic savings plan management and AWS workload optimization
43:47 - Cost attribution and telemetry for large language models (LLMs) on Bedrock
44:10 - AWS WAF's new AI traffic monetization capabilities for API access control
45:45 - Azure Cosmos DB's new cost estimator tool for pre-provisioning modeling
46:52 - Top three news picks: upcoming cloud innovations and AI advances
47:35 - The growing role of FinOps and AI operational tools in cloud cost management

Resources:
FinOps tool
The Phoenix Project
The Goal by Eliyahu M. Goldratt

Connect with the Hosts:
Frank - LinkedIn
SteveO - LinkedIn

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Summary: In this episode, Frank and SteveO discuss the latest updates in cloud technology for May 2026. They cover AWS's new multi-cloud connectivity with Oracle Cloud Infrastructure, the general availability of Amazon EC2 M3 Ultra Mac instances, and Microsoft's release of V7 VMs powered by Intel Xeon processors. The hosts also delve into Amazon Bedrock's expanded support for request-level usage attribution and service quotas, as well as AWS Marketplace's new programmatic procurement capabilities. The episode wraps up with insights from the FinOps X conference and a discussion on cost management strategies in cloud services.

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What's New in Cloud FinOps: May 2026 Monthly Recap
In this combined monthly recap for May 2026, Frank Contrepois and Stephen Old dive into a vast array of updates across AWS, Google Cloud, and Azure, with a special focus on the evolving landscape of AI FinOps, hybrid cloud challenges, and a barrage of storage news.
The Expanding Scope of FinOps: From Data Centre to AI
The discussion opens by exploring the expansion of FinOps beyond the public cloud to encompass on-premise data centres, software, AI, and sustainability. A central theme is the application of the FinOps Open Cost and Usage Specification (FOCUS) to on-premise environments. Stephen shares firsthand experience transposing software data into FOCUS to create a converged platform, highlighting the fundamental data challenges, from ingesting contract data to managing the high velocity of cloud data.
The conversation then shifts to the burgeoning role of AI, noting its inclusion alongside SaaS and professional services in the modern FinOps scope. This introduces new forecasting challenges, as traditional 18-month budget cycles clash with the rapid pace of weekly AI model releases.
A critical point is also raised regarding sustainability. The hosts discuss Amazon's board rejecting a shareholder proposal for detailed climate disclosures, which poses a significant challenge for companies needing granular data for CSRD and SEC compliance.
Major Cloud Updates: April 2026
AI & FinOps Visibility:
A major theme is the improvement in attributing AI spend. A game-changing update from AWS means Bedrock API calls now automatically record the IAM identity (user or role) of the caller directly into CUR 2.0 and Cost Explorer. This eliminates the complex need to reconcile CloudTrail logs to determine who is driving Bedrock costs.
Similarly, Amazon Q is now embedded in the AWS Cost Explorer, allowing users to ask natural language questions about their spending (e.g., "Why did my RDS costs spike last month?"). This conversational analysis approach comes with a free tier of 50 queries per month.
On the Google Cloud side, a new billing overview widget for Gemini and Vertex AI spend is now in preview. Google is also introducing a "FinOps Explainability Agent," an autonomous AI agent to investigate AI cost drivers, and "Spend Caps" (Private Preview) for services like AI Studio and Vertex AI, which provide crucial cost control by pausing API traffic when a budget is hit.
For those managing GPU workloads, Amazon ECS managed instances now support NVIDIA GPU metrics in CloudWatch Container Insights, enabling real-time visibility into GPU utilisation and health to optimise expensive accelerated computing.
Cost & Usage Reporting (CUR) Enhancements:
There are hints of a potential enhancement to AWS CUR 2.0, which could see new columns added to directly link API calls with costs, revolutionising cost allocation. AWS has also introduced:
Scheduled Email Delivery for Billing Dashboards: Securely send reports to stakeholders without console access.
Billing Conductor Pass-Through Plan: Simplifies centralised billing for billing transfer users.
Cost Optimization Hub CSV Downloads: Easily export savings recommendations.
Find out how to leverage CUR for security: "Identifying security risks using AWS cost and usage report data"
Compute & Database Innovations:
AWS: Released a wave of 8th Generation Intel Instances (C8i, M8i, R8i and network-optimised versions) powered by custom 6th Gen Xeon processors. EC2 Capacity Manager also now supports tag-based dimensions, allowing for more granular capacity optimisation. Amazon Aurora Serverless now boasts up to 30% better performance and, crucially, scales down to zero, a cost-effective option for unpredictable agentic AI workloads.
Google Cloud: At Google Cloud Next, they announced both ends of the performance spectrum. The 8th Generation TPUs (v8t for training, v8i for inference) offer massive scale and performance-per-dollar improvements. In a move to democratise access, Google also made fractional GPUs (1/2, 1/4, or 1/8) on the G4 series generally available, a game-changer for cost-effectively running smaller workloads. The GKE workload recommender is also now integrated into the FinOps Hub.
Azure: Now supports NVIDIA's powerful H100 and H200 GPUs on Azure Red Hat OpenShift (ARO) for large-scale AI/HPC workloads. For database users, the GA of Premium SSD v2 for Azure Database for PostgreSQL promises significantly higher IOPS and better price-performance.
A Deep Dive into Azure Storage:
The episode covers an "overload" of Azure storage updates with significant FinOps implications:
Minimum Billable Object Size: From 1st July 2026 for new accounts (and 2027 for all), objects smaller than 128KB in cool, cold, and archive tiers will be billed as if they are 128KB.
Smart Tier for Azure Blob & ADLS (GA): To mitigate the above, this feature automatically tiers data based on access patterns but introduces a monitoring fee for objects over 128KB, creating a new optimisation puzzle.
Azure NetApp Files (ANF) Ransomware Protection: Now GA and included as part of the service at no extra charge.
Finally, the hosts tackle "The Big Silence on Memory Prices," noting that despite DDR memory prices soaring 300-400% from mid-2025 lows, the hyperscalers have remained silent, absorbing the cost and making it difficult for smaller providers to compete.
Explore the official announcements:
AI Bill of Materials Whitepaper: www.wiz.io/go/ai-security/ai-bill-of-materials
AWS Article on Amazon Q: https://aws.amazon.com/blogs/aws-cloud-financial-management/transforming-finops-with-the-latest-amazon-q-cost-capabilities/