newvem's utilization heat map

Cloud Heat Maps

Why is it good for me?

So what can this do for me?

2Confidential

Newvem’s Key Takeaways3 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

Cloud Heat Maps – Why

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.

3

Cloud Heat Maps - Objectives

• 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

4

Cloud Heat Maps by Newvem / Free 5

Make better capacity decisions through burst and peak trend analyses

Heat Maps by Newvem

What is my utilization during peak hours?

Identify consistent workloads that can be more effectively utilized in a non-On-Demand environment (i.e. RI, hybrid or private clouds)

Do I have consistent usage so I can move my cloud to a cheaper platform?

Benchmark variable VS consistent workloads over 30 day time-series

Am I auto-scaling with demand?

Before After

Cloud Heat Maps by Newvem / Premium

6

Reduce total cost of ownership by increasing AWS resource utilization

Heat Maps by Newvem

How can I see my overall AWS usage as consumed during the course of the month?

Visualize AWS usage by top level business activity

Can my AWS resources support my top 10% customer base during peak hours?

Make better capacity decisions based on usage via instance type, region, availability zone, and much more

How efficiently are my current AWS resources utilized across all of my regions and availability zones?

Before After

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

Reserved InstancesPurchase Recommendations

Reserved InstancesLifecycle Utilization

On-demand InstancesConsumption Patterns

Cloud Heat Maps

Usage Consumption Patterns by Business unit / activity

Cloud Heat Maps for On-demand Instances

8

On-demand Workloads: Discovery and Modeling


• 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

9

On-demand Instance Consumption Patterns

10Confidential


Newvem’s Utilization Heat Map will help you see your peak vs. low hours and visualize resource usage patterns

Peak

WeekendsExample Variable AWS usage on

high volume e-commerce site

11

Auto Scaling

Newvem’s Utilization Heat Map will help you see your Auto Scaling Mechanism in action over the course of last month


12Cloud Heat Maps for On-demand Instances

On-demand Workloads: Business Group Segmentation

Overall consumption

‘Always-On’ Production Environment

Newvem Business GroupsVolatile deployment active over business hours

Example: e-Commerce website Example: online education site

13Confidential

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)



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.)

14

On-demand Workloads: Business Model Attribution

Cloud Heat Maps for Reserved Instance Purchases

15

Consistent Workloads –– Discovery and Modeling

Identify consistent levels of usage for specific compute instance workloads:

Instance type – Region/Availability Zone – Platform

See what instance types were in use for each hour over the course of 30 days


• 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

16

Reserved Instance Purchase Recommendations

Identify consistent levels of consumption for compute instance workload


Compute instance workloadInstance Type – Location – Platform

Consistent levels of consumption

Cloud Heat Maps for Active Reserved Instances

18

Reserved Instances Consumption – Discovery and Modeling

Identify consistent levels of usage of the reserved capacity

See what reserved instances were in use for each hour over the course of a

month


• 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

19

Reserved Instances Lifecycle Management

Identify levels of Reserved Instance usage – Justify inventory – Uncover waste

Underutilized capacity


Reserved Instance workload

Instance Type – Region/Availability Zone –

Platform

Reserved Instances inventory

Contact:

Cameron Peron VP Marketing

[email protected]

www.newvem.comUS Toll Free (800) 505-9638

newvem's utilization heat map

Technology

cloud heat

reserved instances

consistent

instance type

consistent

private clouds

demand workloads

burst trends