The document discusses a presentation on efficiency and cost optimization in cloud resource management using the Cloudability platform. It emphasizes the importance of historical workload patterns and the role of Datadog metrics in providing accurate rightsizing recommendations. The goal is to enhance financial transparency and optimize cloud operations for companies managing significant cloud expenditures.

1. Presentation Sub-title
Presenter Name
07.10.2018
Presentation TitleEfficiency & Cost Optimization
Rightsizing Cloud Resources with Datadog
Matthew Finlayson - VP of Engineering @ Cloudability
February 6, 2019

2. Who is Cloudability?
Largest
independent
provider
Nearly 8 years of
best practices
and cohort data
Best-of-breed
platform serving
over $9B in cloud
spend
Manage the top
1% of largest
global cloud
spenders

3. How Cloudability Works

4. Inform
Visibility &
Allocation
Optimize
Utilization
Operate
Continuous improvement
& operations
Culture
Cloudability is THE platform for FinOps
Transparency
Anomaly Detection
Charge/Showback
Budget & forecast
Container Allocations
Reserved Instances
Rightsizing
Automation
Workload Placement
Governance
Unit Economics
Speed of delivery
Value to the business

5. DevOps + Cloud
Procurement has outsourced their job to engineers. Engineers now spend company money at will and make financial commitments
to cloud providers.
has broken traditional procurement

6. Have you ever taken a test guess at sizing requirements?

7. Opportunity cost: Death by 1,000 paper cuts
1000 - $7.00
Opportunities
7 - $1,000.00
Opportunities

8. Understand the historic pattern of the workload

9. Leverage Datadog metrics for Rightsizing Recommendations

10. You could use CloudWatch, but…
- Measurements natively come from the hypervisor not the guest
- Need a terrible agent or custom memory metrics
- Granularity of collection can vary
- Unable to backfill utilization metrics unlike Datadog
- Doesn’t work across cloud vendors

11. Rightsizing done right

12. How do I Rightsize?
- Based on 10 or 30 Days
- Historical model of instance types
- Balance Risk vs. Savings
- Filter by your requirements
- Based on use, not averages
- Export of all recommendation data
- Full API support

13. And there is also clipping…

14. How do I Rightsize?
- Based on 10 or 30 Days
- Historical model of instance types
- Balance Risk vs. Savings
- Filter by your requirements
- Based on use, not averages
- Export of all recommendation data
- Full API support

15. Next steps

16. Thank you!