What happened this week:
Cloud FinOps Market Study Released
Fiverr’s Stories on AWS & Karpenter
Mention of Honour about Etsy Engineering
New Job Offers Section
AWS FinOps Professional Spotlight
It’s been a heavy week, so much value is coming. Brace yourself:
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Business
Cloud FinOps Market worth $23.3 billion by 2029
A new FinOps market study has been released. Discover the latest trends in the Cloud FinOps. Here are the key highlights:
Market Growth: Expected to grow from USD 13.5 billion in 2024 to USD 23.3 billion by 2029.
Automation: Automation tools streamline FinOps, reducing manual tasks and enhancing efficiency.
Multi-Cloud Complexity: Managing costs across multiple cloud providers like AWS, Azure, and Google Cloud remains a challenge.
Key Players: Major vendors include AWS, Microsoft, Google, Oracle, IBM, and Hitachi.
Stay ahead in the cloud game by understanding these crucial developments in Cloud FinOps!
Would you like more details on any specific aspect?
Big Tech Engineering
Fiverr’s Karpenter Transformation
Fiverr recently transformed its infrastructure by migrating Kubernetes compute nodes to Karpenter. Here’s what you need to know:
Why the Change: Before, Fiverr used a third-party solution. It had several issues like manual updates, explicit specifications, and resource wastage.
Benefits of Karpenter: This tool offers dynamic resource allocation. It reduces waste by consolidating workloads. Additionally, it manages capacity and ensures compatibility.
Challenges Faced: Equal node distribution and aggressive bin-packing were issues. Fiverr used topology-spread to solve them.
Migration Process: Migrating involved deploying Karpenter and reducing third-party nodes. They moved one group at a time, starting with less critical ones.
Monitoring: Karpenter metrics are used to monitor performance. Importable Grafana dashboards help visualize these metrics.
Helm Template: This simplifies managing NodeGroups. It allows for defining global and local specifications per NodeGroup.
Explore more on Fiverr’s GitHub repo for examples.
Migrating to Karpenter has greatly improved Fiverr’s operations.
Azure
Azure: Savings Plans vs. Reservations Explained
Here’s a simple breakdown of Azure savings plans and reservations:
Azure Savings Plans for Compute
Discounts: Save up to 65% on compute resources. Includes Azure VMs, App Services, and Azure Functions.
Flexibility: Use savings on multiple services and regions. Change scope at any time.
Commitment: Fixed hourly spending for 1 to 3 years. No cancellations or term changes.
Azure Reservations
Discounts: Save up to 72% for specific Azure resources. Ideal for stable, continuous workloads.
Predictability: Prepay for 1, 3, or 5-year usage. Target a particular Azure product and region.
Flexibility: Can exchange reservations but are limited to similar types. Can modify instance size within the same family.
Combining For Best Savings
Use reservations for predictable workloads.
Apply savings plans for dynamic or evolving needs.
Azure automatically applies the best discount first.
Understanding these options can drastically reduce your Azure costs.
AWS
13 to Optimize AWS API Gateway Cost
Nir Peleg shares essential strategies to reduce cloud spending on AWS API Gateway. Here’s a quick rundown:
Right API Type: Choose HTTP APIs for lower cost. REST APIs are pricier but offer more features.
Use Direct Integrations: Integrate AWS services directly. Skip using Lambda for data transfer.
Replace with ALB: Consider Application Load Balancer for scaling. ALB can be cost-effective if not using API Gateway features.
Many more strategies are available in the article.
Mention of Honour Special
Deserved for recent discoveries that are inspiring for the FinOps community.
Brought by 1440 Media:
News for humans, by humans.
Today’s news.
Edited to be unbiased as humanly possible.
Every morning, we triple-check headlines, stories, and sources for bias.
All by hand with no algorithms.
🎖️ Mention of Honour
Etsy’s FinOps GCP Optimization Journey
Etsy has detailed its comprehensive approach to improving cloud usage. After moving from an on-premise data center to Google Cloud in 2020, here’s what they did:
FinOps Team Formation
A dedicated FinOps team was created post-migration.
Positioned under the Chief Architect for independent optimization.
Forecasting Methodology:
Uses Cost Per Visit (CPV) metric for forecasting spend.
Costs are classified into Core Infrastructure, Machine Learning, Data Enablement, and Development.
Cost Detection and Mitigation:
Internal dashboards on BigQuery and Looker track costs and trends.
Weekly reviews with Finance to align actual costs with forecasts.
Swift identification and troubleshooting of cost increases.
Cost Optimization Wins:
GCS Storage Optimization: Improved monitoring and automation reduced usage.
Compute Optimization: Migrated infrastructure to more efficient platforms.
Network Compression: Enhanced network efficiency reduced costs and latency.
Etsy continues to innovate and optimize its cloud operations, aiming for greater efficiency and cost-effectiveness.
Jobs
FinOps Job offers
New Section where I’ll be sharing useful links to find the available FinOps jobs in the market. I’ll be using a database stored in Airtable to host it.
I’ll provide both Permanent links (i.e. FinOps Job site) and Offers I’ll find across the internet.
Professional Spotlight
Cristian Măgherușan-Stanciu
The AWS Cost Wizard. One of the most helpful people I found in the FinOps environment.
He’s a solopreneur, ex-AWS providing a lot of tooling and services to their clients such as Autospotting.
Cristian shares his journey on LinkedIn along with his newsletter about product updates and other really interesting stories!
Bonus
Quick Wins News
For those seeking more content, this section will provide additional resources.
New Episode of Frank’s & Stephen’s What’s New in Cloud FinOps, June Edition
Amazon released its 2023 Sustainability Report
AWS Cloud Financial Management Technical Implementation Playbooks Released
New AI regulation in Europe will affect Cloud providers on emissions reporting and other areas.
Get relevant generalistic news with 1440 Media:
News for humans, by humans.
Today’s news.
Edited to be unbiased as humanly possible.
Every morning, we triple-check headlines, stories, and sources for bias.
All by hand with no algorithms.
Feedback
Poll of the Week
That’s all for this week. See you next Sunday!
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