Newvem's Utilization Heatmap enables you to visualize your 30-day cloud usage by hour, region, business activity and more at a glance. Check out this presentation and learn how you can: *Get the most out of your available capacity *Move consistent usage to a cheaper plan *Increase utilization to meet peak hour demand

1. Cloud Heat Maps
Why is it good for me?
So what can this do for
me?

2. Confidential
Newvem’s Key Takeaways 2
3 Main Takeaways
• Free
• Make better capacity decisions with trend, burst, and peak analysis
• Identify consistent workloads that can be more effectively utilized in a non-
EC2 environment (RI, hybrid or private clouds)
• Benchmark variable vs. consistent workloads over 30 day time series
• Identify if you are auto-scaling in the appropriate time frames
• Premium
• Reduce total cost of ownership and increase AWS usage effectiveness
• Visualize AWS usage by business activity and organization
• Make better capacity decisions based on usage via instance type, region,
availability zone, and much more

3. Cloud Heat Maps – Why 3
Cloud Heat Maps by Newvem bridge the gap
between AWS usage data and knowing what needs
to be improved.
Heat Maps by Newvem visualize AWS usage
intuitively.

4. Cloud Heat Maps - Objectives 4
• Problem: AWS is a utility that needs to be measured in order to be
managed
• Solution: Cloud Heat Maps allow customers to discover and
model their compute resources consumption over the course of a
month
Get more out of your current AWS
resources
1) Increase utilization of variable workloads
2) Move consistent workloads off of On-Demand to
Reserved Instances or hybrid clouds

5. Cloud Heat Maps by Newvem / Free 5
Before After
Make better capacity
What is my utilization during decisions through burst and
peak hours? peak trend analyses
Identify consistent workloads
Do I have consistent usage so that can be more effectively
Heat Maps
I can move my cloud to a by Newvem utilized in a non-On-Demand
cheaper platform? environment (i.e. RI, hybrid or
private clouds)
Benchmark variable VS
Am I auto-scaling with
consistent workloads over 30
demand?
day time-series

6. Cloud Heat Maps by Newvem / Premium 6
Before After
How can I see my overall AWS Reduce total cost of
usage as consumed during ownership by increasing AWS
the course of the month? resource utilization
Can my AWS resources
support my top 10% Heat Maps Visualize AWS usage by top level
customer base during peak by Newvem business activity
hours?
How efficiently are my Make better capacity
current AWS resources decisions based on usage via
utilized across all of my instance type, region,
regions and availability availability zone, and much
zones? more

7. Cloud Heat Maps in a Nutshell 7
Simple and straightforward visualization of AWS
EC2 resource usage data that enables users to
understand their AWS usage patterns over the
course of 30 days
On-demand Instances
Consumption Patterns
Usage Consumption Patterns
by Business unit / activity
Cloud Heat Maps
Reserved Instances
Purchase Recommendations
Reserved Instances
Lifecycle Utilization

8. Cloud Heat Maps for On-demand Instances 8
On-demand Workloads: Discovery and Modeling
See what compute instances were in
use and where for each hour over the
course of a month
Identify lift and burst trends to see
progressions of compute consumption
expansion

9. Cloud Heat Maps for On-demand Instances 9
On-demand Instance Consumption Patterns
• Consistent level of usage for every hour of the
past 30 days
• Recurring peak hours of usage during the past 30
days
• Lift and burst trends over the course of 30 days

10. Confidential
Cloud Heat Maps for On-demand Instances 10
Newvem’s Utilization Heat Map will help you see your peak vs. low hours
and visualize resource usage patterns
P
e
a
k
Example Variable AWS usage on
high volume e-commerce site
Weekends

11. Cloud Heat Maps for On-demand Instances 11
Newvem’s Utilization Heat Map will help you see your Auto Scaling
Mechanism in action over the course of last month
Auto
Scaling

12. Cloud Heat Maps for On-demand Instances 12
On-demand Workloads: Business Group Segmentation
Overall consumption
Newvem Business Groups
Volatile deployment active over
business hours ‘Always-On’ Production Environment
Example: e-Commerce website Example: online education site

13. Confidential
Cloud Heat Maps for On-demand Instances 13
Sample production environment
(consistent usage)
All of the resources are used
100% of the time
This represents usages that
could be moved to a cheaper &
consistent cloud solution (i.e. RI or
hybrid cloud)

14. Cloud Heat Maps for On-demand Instances 14
On-demand Workloads: Business Model Attribution
Clearly visualize and segment underlying layers of EC2 usage by
resource groupings that reflect your business (i.e. R&D VS sales,
production VS QA, customers, services, etc.)
Use “Newvem Business Views” and the “Cloud Heat Map”: to segment compute
resources consumed by specific business activities or units
Identify consumption patterns for each business group
Consistent level of usage Recurring peak hours of
Trends of lifts and bursts
for every hour of the usage during the past
30 days
during the past 30 days
past 30 days

15. Cloud Heat Maps for Reserved Instance 15
Purchases
Consistent Workloads –– Discovery and Modeling
See what instance types were in use for each hour
over the course of 30 days
Identify consistent levels of usage for specific compute
instance workloads:
Instance type – Region/Availability Zone – Platform

16. Cloud Heat Maps for Reserved Instance 16
Purchases
Reserved Instance Purchase Recommendations
• Identify consistent levels of compute instance
workload consumption for every hour of the past
30 days
• Study consumption over the course of 30 days
and see which workloads can be purchased as
fixed capacity
– Workload: Instance Type – Region/Availability Zone–
Platform
– Fixed capacity: Reserved Instances, dedicated
servers, hybrid/private clouds

17. Cloud Heat Maps for Reserved Instance
Purchases
Identify consistent levels of consumption for compute instance workload
Consistent levels of consumption
Compute instance workload
Instance Type – Location – Platform

18. Cloud Heat Maps for Active Reserved 18
Instances
Reserved Instances Consumption – Discovery and Modeling
See what reserved instances were in
use for each hour over the course of a
month
Identify consistent levels of usage of the
reserved capacity

19. Cloud Heat Maps for Active Reserved 19
Instances
Reserved Instances Lifecycle Management
• Identify levels of reserved instance usage for
every hour of the past 30 days
• Track usage over the course of a month and see
how efficiently reserved instances are utilized
– Justify Reserved Instance inventory levels
– Identify Reserved Instance underutilized capacity
• Workload: Instance Type – Availability Zone/Region –
Platform
• Move existing workloads to available capacity
• Recycle redundant capacity in the marketplace

20. Cloud Heat Maps for Active Reserved Instances
Identify levels of Reserved Instance usage – Justify inventory – Uncover waste
Reserved Instances inventory
Underutilized capacity
Reserved Instance
workload
Instance Type –
Region/Availability Zone –
Platform

21. Contact:
Cameron Peron
VP Marketing
cameron@newvem.com
www.newvem.com
US Toll Free (800) 505-9638