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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.