『What's new in Cloud FinOps?』のカバーアート

What's new in Cloud FinOps?

What's new in Cloud FinOps?

著者： The FinOps Guys - Stephen Old and Frank Contrepois
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Stephen Old and Frank Contrepois get together to discuss what's new in the world of cloud when it comes to FinOps. There are two monthly episodes, one where we'll discuss the top stories we've found from this month and a second episode where we bring in a friend of the show to talk to us about a topic of their choosing.

© 2026 The FinOps Guys
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  • WNiCF - August 2026 - News

    WNiCF - August 2026 - News
    2026/09/30
    Send us Fan MailRecorded 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 ControlThe 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" ChallengeA 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 GapsThird-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 UpdatesAWS 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 ...
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    44 分
  • WNiCF - July 2026 - News

    WNiCF - July 2026 - News
    2026/08/10

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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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    52 分
  • WNiCF - June 2026 - News

    WNiCF - June 2026 - News
    2026/07/31

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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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    49 分
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