Learn to leverage AI to streamline your cloud operations with Anomaly Detection and Root Cause Analysis. Use AI to maintain cloud governance, optimize cloud workloads, and simplify cloud operations. Find out more, request a demo, or set up a free trial at www.yotascale.com.

1. Autonomous Cloud Operations
Managing AWS Costs with Anomaly
Detection and Root Cause Analysis
Imran Moin
Chief Product Officer
imran@yotascale.com

2. AGENDA
• Company Overview
• Key Pain Points in managing AWS cloud infrastructure
• YotaScale Solution Overview
• Deep dive into Anomaly Detection
• Real world cost anomalies found by YotaScale
• Live Product Demonstration
• Q&A

3. COMPANY VISION
AUTONOMOUS CLOUD OPERATIONS
3© YotaScale. CONFIDENTIAL.

4. Overview
Company with deep domain expertise in enterprise infrastructure, cloud
computing and machine learning
4
ASIM RAZZAQ
CEO, YotaScale
Leadership
USMAN ABBASI
CTO, YotaScale
IMRAN MOIN
CPO, YotaScale
Investors
© YotaScale. CONFIDENTIAL.
Company
Founded in 2015 HQ - Menlo Park, CA Raised $11.6M till date

5. Cloud Operations Getting Significantly More Complex
© YotaScale. CONFIDENTIAL. 5
40%
Wastage due
to OpEx Cost
Model
On average enterprises
waste 40% cloud
infrastructure
30%
Time on Manual
Cloud Ops
On average, enterprises
spend 30% of their Cloud
Ops time doing manual
tasks that should be
automated
Over 50% of enterprises
are looking to
decentralize cloud
operations
25+
Tools Causing
Fatigue
On average, enterprises
have 25+ tools to manage
cost, performance and
availability SLAs for cloud
workloads
>50%
Cloud Ops
Decentralizing

6. © YotaScale. CONFIDENTIAL. 6
Cost
Data
Utilization
Data
Inventory
Data
Log
Data
How to optimize each workload to
get the right cost, performance and
availability?
Perf
Data
Memory
Data
Operational Metrics
● Logins/sec
● DAU
● Queries/sec
Cloud Provider Data
Cloud Ops Policies
● Tagging
● Resource Whitelist
Cofig
Data
Container
Data
Third Party Data
Too much data, not enough insights

7. © YotaScale. CONFIDENTIAL. 7
AUTOMATION
● 1-click RI purchase
● Auto-tag cloud resources
● Identify root cause and remediation for anomalous incident
● Automate fixes for policy violations
PLANNING
● Accurate forecasting of cloud spend per application, team or BU
● Setting budgets and ensuring compliance
● What-if scenario planning
OPTIMIZATION
● Identify cost savings opportunities
● Detect cost spikes ( anomalies)
● RI purchase decisions
● Rightsizing workloads
VISIBILITY
● Detailed cost, usage and performance reports per workload
● Custom dashboards for each application team
● Cloud policy compliance
● Pulling business context from other tools like ServiceNow, etc.
The Problems that Customers Need to Solve

8. How the YotaScale Platform Works
8
Cloud Provider Data
● Cost
● Utilization
● Inventory
● Logs
● Containers
OPTIMIZE
Suggestions to remediate issues
DIAGNOSE
Identify root cause
DETECT
Discover trends and identify incidents
1
2
3
4
PREDICT
Forecast the future
Third Party Data
● Performance
● Memory
● Configuration
APIs
AUTONOMOUS
Cloud Ops Policies
● Mandatory Tags
● RegEx Formats
● Resource Whitelist
● Purchase
Preferences
Enterprise Integrations
MANUAL

9. © YotaScale. CONFIDENTIAL. 9
Streamline Cloud
Operations
• Real-time incident detection
and alerting
• Workflows integrated with
existing Cloud Ops tools -
Slack, JIRA, PagerDuty, etc.
• Incident investigation through
RCA
• 1-click implementation
Optimize Cloud Workloads
• Continuous optimization
assessment across all cloud
resources
• Identify opportunities to
purchase reserved instances
• Real-time re-balancing of RI
inventory
• Rightsize workloads
• Shutdown orphan resources
• Increase performance of
existing cloud resources
Governance with Cloud
Policies
• Pre-defined policies for cloud
operations best practices
• Auto-remediation of
violations
• Audit trail to identify user
responsible for violations
• Real-time inventory of all
assets
• Identify workloads out of
compliance with policies
YotaScale Platform Use Cases

10. • Detect Anomalies
• Root Cause Analysis
• Intelligent Workflow
Anomaly Detection
Live Monitoring
PREVENT RUNAWAY COSTS
• Contextually aware
corrective action
• Deep library of best
practices
• EC2 & PaaS Support
Continuous
Optimization
Up to 40% Savings
OPTIMALLY EFFICIENT
INFRASTRUCTURE
• Scorecard
• 100% tag hygiene
• Slice and dice analysis
• Accountability
& transparency
Contextual
Analytics
Org Benchmark
ACCOUNTABILITY
& TRANSPARENCY
Through the use of
machine learning,
YotaScale processes
millions of data signals
and provides
contextually relevant
anomaly detection and
optimization
recommendations that
reduce your cloud spend

11. YotaScale Anomaly Detection Overview
● YotaScale’s ML/AI powered Anomaly Detection can detect cost anomalies happening across
any possible dimension
● Customers get alerted real-time via Email, Slack, etc.
● Quick time to resolution due to YotaScale’s Root Cause Analysis (RCA)
DETECT/ ALERT
Detect and Alert on
real-time cost anomalies
PROVIDE RCA
Provide Root Cause on
what caused that anomaly
REMEDIATE
Suggest possible fixes to
the customer

12. Key Features for Anomaly Detection
Identify and Customize
Anomalies
● Sophisticated ML Models
● Customizable Dimensions
● Severity Per Anomaly
Provide Root Cause Analysis
● ML Models find correlations /
causations for each anomaly
● Linked to business events
(positive or negative)
Suggest Possible Fixes
● Identify Solutions
● Manual Scripts
● Approval based
implementation
● Automation
Workflow Integration
● Single Sign-On (SSO)
● Slack Integration
● JIRA Integration

13. Closed Feedback Loop on Anomaly Models
● Customer actions for each cost anomaly
○ Dismiss
○ Resolve
○ Snooze
● Anomaly ML models fine-tuned based on customer feedback
Actions for every
anomaly
Dismiss
Anomalies
Resolve
Anomalies

14. Remediation for Cost Anomalies (Future Roadmap)
Out of Band
(manual)
instructions
Out of Band
(manual) script
In Band
(manual) Script
Approval Based
Implementation
Automation
(Autonomous
execution by
YotaScale)

15. With real-time anomaly detection, root
cause and remediation YotaScale caught
this anomaly in time and saved
thousands of dollars.
“Our virus scanning
engine died. We could
not figure out the right
host and in the process
spun up hundreds of
machines. YotaScale
detected the issue in
realtime.”
Jonathan Monette
Senior Architect
“Our virus scanning
engine died. We could
not figure out the right
host and in the process
spun up hundreds of
machines. YotaScale
detected the issue in
real-time.”
Senior Application Architect
YotaScale’s Anomaly
Detection discovers
applications and services
and alerts you to
significant changes.

16. ANOMALY DETECTION ROOT CAUSE SAVES DAYS OF TROUBLESHOOTING
“Our API gateway team
saw an unusual amount of
requests resulting in a
huge spike in resource
provisioning. YotaScale
pinpointed the exact issue
saving valuable cycles”
YotaScale was able to pinpoint the exact
issue and save days of investigative work
on where to go look.John Smithan
Lead Site Reliability Engineer
“Our API gateway team
saw an unusual amount of
requests resulting in a
huge spike in resource
provisioning. YotaScale
pinpointed the exact issue
saving valuable cycles”
Lead Site Reliability Engineer
Going beyond alerting,
YotaScale can provide a
detailed analysis of the
resources that caused an
anomaly.

17. Key Benefits of Anomaly Detection
1. Get real-time notifications about any unusual cost spikes across any business
critical dimension
2. Serves as insurance policy against runaway cloud costs - can save up to
10-20% of yearly cloud spend
3. Helps troubleshoot root cause of cost spikes and save valuable time for
CloudOps, Finance and Engineering teams

18. Product Demonstration