$3.9M Saved The HARD Way in Kubernetes
This Company made a huge move to make the savings happen:
Kubernetes
Startup Drastic Decision to Reduce Kubernetes Expenses by $3.9M

In a case study of cloud repatriation, Yellowbrick Data has demonstrated how moving from public cloud to private infrastructure can yield substantial cost savings.
The company successfully reduced its annual cloud expenses from $6 million to approximately $2.1 million by transitioning their development and testing environments from AWS, Azure, and Google Cloud to their own Kubernetes-based infrastructure. Key Highlights:
Created "EC3" private cloud using repurposed customer-returned hardware
Deployed 200+ servers providing 8,000 vCPUs and 2 petabytes of storage
Monthly operating costs dropped to $50K (vs. estimated $375K in AWS)
Implementation required just two engineers over six months
The private cloud implementation leverages:
MinIO for object storage
LINSTOR for persistent block storage
InfiniBand networking
RedHat OpenShift integration
P.S Please reply to this email with your thoughts about this repatriation trend.
In partnership with CloudZero
5 FinOps Slides Every Board Will Love
Struggling to demonstrate cloud ROI? We've got you covered.
Our new board slides template is designed to help you:
Highlight your team's impact with actionable insights
Simplify complex data for easy board discussions
Showcase essential cloud cost metrics
Make your next board meeting smooth, impactful, and stress-free.
AWS
re:Invent Cost Optimization Highlights We Missed

Amazon Bedrock's Smart Cost Controls
New Intelligent Prompt Routing can reduce costs by up to 30% by automatically directing queries to the most cost-effective AI models based on complexity
Prompt caching feature promises up to 90% cost reduction and 85% lower latency by eliminating redundant processing
FSx for OpenZFS Intelligent-Tiering
Introduces S3-like pricing model for file storage with automatic data movement across three tiers
Offers up to 85% lower costs compared to SSD storage & features instant data access regardless of tier location. Zero upfront costs or commitments required
SageMaker Scale-to-Zero
Enables complete elimination of compute costs during idle periods
Automatically scales based on actual usage patterns. Particularly valuable for organizations with variable ML inference needs
EC2 Auto Scaling Enhancements
New Target Tracking policies offer faster response to demand changes
Self-tunes based on application-specific patterns. Reduces over-provisioning while maintaining performance. Particularly effective for applications with volatile demand patterns
GCP
Deutsche Börse Group reference Architecture in GCP

By successfully building a system that can handle the demanding 24/7 nature of digital assets, Deutsche Börse has essentially created a blueprint for the future of all trading systems.
Key Innovations
Cloud-native architecture enabling 24/7 operations
Internet-based API access (a departure from traditional leased-line connectivity)
Built-in flexibility for rapid market deployment
Enhanced security through Cloud Armor for DDoS protection
Kudos to Stephen Old for sharing. Read the Complete Case Study
Finance
The Annual Operating Plan for FP&A Professionals

Ruchi Kasliwal presents a compelling vision for how Generative AI is revolutionizing the Annual Operating Plan (AOP) process. She offers perspective on changing what has traditionally been a complex, time-consuming exercise into a more dynamic and efficient strategic tool. Highlights:
GenAI can streamline the often fragmented data collection process, automatically aggregating information from various systems while generating valuable insights from historical data.
A particularly interesting aspect is how AI can analyze both historical performance and external market data to provide more precise projections and enable sophisticated scenario planning.
AI can bridge the common gap between stakeholder inputs and business objectives, offering innovative solutions for presenting complex financial data through intuitive dashboards.
A must-read for finance professionals and business leaders interested in leveraging AI to create more agile and strategic planning processes.
👷♂️ FinOps Job Offer
Build the next FinOps product with The Duckbill Group
The Duckbill Group is throwing our hat into the ring by building a new FinOps product and we're looking for another engineer for the team. The role is on-site in San Francisco (we'll help with relocation!).
Organizations
How to Size and Structure FinOps Teams for Different Maturity Stages

FinOps Maturity by FinOps Foundation
Shannon Kuehn provides a comprehensive guide to scaling FinOps teams across different maturity stages.
The article breaks down the journey into three distinct phases - Crawl, Walk, and Run - offering practical insights for organizations at any point in their cloud financial management evolution.
Crawl Stage (1-3 team members):
Focus on fundamentals with basic visibility and accountability
Essential roles include FinOps Practitioner and Cloud Financial Analyst
Emphasis on establishing tagging strategies and basic reporting
Walk Stage (3-6 team members):
Introduces specialized roles like FinOps Lead and Cloud Operations Engineer
Implements chargeback/showback models
Develops forecasting capabilities and optimization strategies
Run Stage (6+ team members):
Features advanced roles including FinOps Director and Data Scientists
Emphasizes automation and cultural integration
Focuses on scaling and innovation in cost management
🎖️ Mention of Honour
+240 FinOps in our Webinar: THANKS!
The community made HISTORY
244 Registrants
103 Exclusive Viewers
74 Simultaneous Viewers
This showcases the power of independent creator communities.
It was an amazing experience for me as a creator.
So many gems dropped by our speakers.
Interactive sessions with 12 questions.
And we are just getting started.
Thanks to Erik Norman Aviv Revach Damian Munafo for making it possible.
P.S. You'll receive the recording and the slides in the follow up email for registrants tomorrow.
🏆 Quick Wins
Announcements
AWS Marketplace introduces 8 decimal place precision for usage pricing - AWS → Read
Finout Announces $40M Series C → Read
Articles & Podcasts
Do you really need FinOps Tools? → Read
FinOps and GreenOps: Unlocking Efficiency in Banking and Financial Institutions → Read
🎙️ PODCAST
New FinOps Podcast In Town
FinOps Weekly is providing you more content formats. Learn the top insights from professionals of the industry about how to (REALLY) do FinOps
Professional Spotlight
Steph Gooch
One of my inspirations to create content in the FinOps ecosystem. All brands should learn how Steph does content for a provider, really. She and her team make really a difference for AWS perception within FinOps.
Writer RAG tool: build production-ready RAG apps in minutes
RAG in just a few lines of code? We’ve launched a predefined RAG tool on our developer platform, making it easy to bring your data into a Knowledge Graph and interact with it with AI. With a single API call, writer LLMs will intelligently call the RAG tool to chat with your data.
Integrated into Writer’s full-stack platform, it eliminates the need for complex vendor RAG setups, making it quick to build scalable, highly accurate AI workflows just by passing a graph ID of your data as a parameter to your RAG tool.
Action Items: Read today’s newsletter, and subscribe to our YouTube channel!
That’s all for this week. See you next Sunday!
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