Demandbase cut its container costs by 79% by using Spotinst to manage its EC2 Spot Instances. Spotinst uses predictive analytics and machine learning to identify Spot Instances at risk of interruption and seamlessly moves workloads to prevent downtime. Demandbase was able to scale its workloads without increasing costs and move test environments to SpotInstances that were previously not possible due to interruptions. They now use SpotInstances for production and achieved dramatic cost savings by integrating Spotinst with their Rancher environments.

1. How Demandbase Cut Its
Container Costs By 79%

2. Founded
~2.5
years ago
Spotinst Snapshot
Tel Aviv
London
New York
San Francisco
70+
Employees
$17M
raised
Intel Capital
1000+
Customers
Started from
a real use
case

3. 500 EC2
90,000+ EC2
2016
Thousands of Active Virtual Machines are Managed by Spotinst
The Fastest
Growing
Company in
Deloitte Fast 50
of 2017
2018

4. Fortune 500 Companies and Startups are using Spotinst

5. Most robust, fully featured platform to run and
orchestrate compute in the cloud
Anything without a single point of failure
can be delivered at a full availability and ~80% cost reduction.

6. Autonomous Orchestration Across the Computing Spectrum
Instances Containers Serverless
(Functions)

7. INSTANCES
• Web Services behind Load
Balancers
• Traditional/Legacy
applications
• Stateful applications
• Application Layers

8. CONTAINERS
• Managed k8s, ECS, Docker Swarm
• No Cluster Management
• “Tetris” Auto Scaling
(2 Layers IasS & Containers)
• Multi Cloud enabler
IaaS

9. Powering RI, Spot & On Demand Workloads

10. Understanding EC2 Capacity

12. What is ‘Spare Capacity’?
Cloud providers spare capacity
offerings:
• No guarantee on availability
• Prices are 80-90% less
~ 45% of Current Cloud Computing Capacity is Unused

13. “Everyday Amazon adds every day(!) enough compute capacity
to its global fleet to power Amazon.com.”
– James Hamilton, VP & Distinguished Engineer, Amazon.com.

14. Spotinst mitigates the major barriers of Spot
Instances throughout pure Technology
Prediction Diversification
makes use of proprietary
prediction and Machine
Learning technology to predict
capacity changes and
offensively rebalance clusters to
prevent interruption.
seamlessly deploy your
cluster across multiple VM
types, zones and regions
to minimize disruption.
Integrated AutoScaling
Meet applications’ demand
by scaling capacity in & out.
Interacting with Containers
Schedulers such as
Kubernetes, Amazon ECS
and Docker Swarm
SLA Pricing App Awareness

15. Prediction is the Key
Spotinst uses predictive analytics, algorithms and historical data to
identify and predict Spot Instances that are about to be “interrupted”.
Prior to termination, Elastigroup automatically and seamlessly transitions
applications to the least expensive “available” instances with absolutely no
downtime regardless of application type or demand.

16. Spotinst Technology
Spotinst uses predictive analytics, algorithms and historical data to
identify and predict Spot Instances that are about to be “interrupted”.

17. Prediction

18. Diversification

19. 5x your workload without increasing costs
Big Data Workloads
Hadoop, Spark, HPC
Containers
ECS, k8s, Swarm
Web & Micro
Services
Behind ELBs
State-full
Applications

20. Natively supports higher level AWS services
AutoScaling Groups
Elastic Beanstalk OpsWorks
Elastic Container Service Elastic Load Balancer
CodeDeploy
Deployed via CloudFormation

21. 3rd party Integrations

22. Spot Analyzer - “Trusted Advisor” to Identify Spot
Instances Opportunities within your Organization

23. Reserved Instances Management
• Identify Vacant RIs
• Apply AWS’ Reserved Instances discount rules (Cross-Accounts!)
• Automatically place RIs within your workloads - No DevOpsFinance
involvement.

24. Demandbase Goes From 0 To
200K+ Monthly Spot Hours In
One Year

25. About Demand Base
- Named a Gartner Cool Vendor
- leader in Account-Based Marketing (ABM)
- Artificial Intelligence-enabled, comprehensive ABM platform that spans
Advertising, Marketing, Sales, and Analytics

26. Architecture & Technology

27. Architecture & Technology

28. What about Cost?
“Our team knew that cloud costs could
quickly get out of hand”
Josh Schlanger, VP of DevOps at Demandbase

29. - Two Minutes Notifications were not sufficient
- Often suffering from Services and applications interruptions
- Test environments not working due to sudden interruptions
- Dev team wasn’t as effective as they could have been
- Leveraging Spot Instances for production environments wasn’t even
considered
Our Experience With Spot Instances

30. - Built-in Integration for registering instances to Rancher Environments
- Draining Instances BEFORE Interruptions
- Smart Containers Scheduling
- Dramatic Cost Savings
- Rolled in to all staging environments…. And PRODUCTION!
Running Containers on Spot Instances Made
Easy with Spotinst’s Rancher Integration

31. Our Results

32. Our Results

33. - Ramp our Kubernetes usage to Production
- Serverless
What’s Next?

34. Thank you