Legacy monitoring and troubleshooting tools can limit visibility and control over your infrastructure and applications. Organizations must find monitoring and troubleshooting tools that can scale with the volume, variety and velocity of data generated by today’s complex applications in order to keep pace with business demands. Our upcoming webinar will discuss how Sumo Logic helped Scripps Networks harness cloud-native machine data analytics to improve application quality and reliability on AWS. Sumo Logic allows IT operations teams to visualize and monitor workloads in real-time, identify issues and expedite root-cause analysis across the AWS environment. Join us to learn: • How to migrate from traditional on-premises data centers to AWS with confidence • How to improve the monitoring and troubleshooting of modern applications • How Scripps Networks, a leading content developer, used Sumo Logic to optimize their transition to AWS Who should attend: Developers, DevOps Director/Manager, IT Operations Director/Manager, Director of Cloud/Infrastructure, VP of Engineering

1. Real-time Visibility at Scale
with Sumo Logic
Mark Kelly: Director of Cloud and Infrastructure Architecture, Scripps
Kalyan Ramanathan: VP of Product Marketing, Sumo Logic
Dave Rocamora: Solutions Architect, AWS

2. Data is Growing
of new data will be
created every second
for every human being
on the planet by 2020
http://www.whizpr.be/upload/medialab/21/c
ompany/Media_Presentation_2012_DigiUn
iverseFINAL1.pdf
1.7MB
compound annual
growth rate of 58%
surpassing $1 billion by
2020 forecasted for the
Hadoop market
http://www.ap-institute.com/big-data-
articles/big-data-what-is-hadoop-
%E2%80%93-an-explanation-for-
absolutely-anyone.aspx
http://www.marketanalysis.com/?p=279
58%
of all data is ever
analyzed and used at
the moment
http://www.technologyreview.com/news/51
4346/the-data-made-me-do-it/
0.5%<

3. Big Data is for Everyone
The market for Big Data technologies is growing more than six times faster than the
information technology market as a whole….
…and those companies who use their data will win.

4. Why AWS for Big Data?
Immediately
Available
Broad and Deep
Capabilities
Trusted and
Secure
Scalable

5. Collect, Store, Analyze, and Visualize
It’s easy to get data to AWS, store it securely, and analyze it with the engine of your choice,
without any long-term commitment or vendor lock-in
Collect
AWS Import/Export
AWS Snowball
Direct Connect
VM Import/Export
Store
Amazon S3
Amazon EMR
Amazon Glacier
Amazon Redshift
DynamoDB
Amazon Aurora
Analyze
Amazon Kinesis
AWS Lambda
Amazon EMR
Amazon EC2

6. AWS Provides the Most Complete
Platform for Big Data
What can you do with Big Data on AWS?
Big Data Repositories Clickstream Analysis ETL Offload
Machine Learning Online Ad Serving BI Applications

7. Machine Data Analytics

8. 100 PB +
Data Analyzed Daily
Sumo Logic: Leading Machine Data Analytics Service
16.4 Million +
Searches Performed Daily
Customers
1000+
Service
Scale
Tier-1
Investors

9. #1 Driver: Customer experience, Agility & Speed
Software is eating the world
– Marc Andreesen
Every industry that is not bringing software
to their business will be disrupted
–

10. Rise of Modern Applications
Cloud Adoption
Elasticity, Scalability
DevOps
Automation, Collaboration
Componentized
Micro-services architecture
100+ services to build a page-
Amazon Architecture
$200B+ 30x 100+
DevOps shopdeploy 30x more-
Puppet DevOps survey
In IT spending 2020-
Gartner

11. IT Challenge: Complexity, Change & Control
ManySiloedtools, Notoptimizedforcloudordynamicapps
Understand entire app
& infrastructure stack ?
Manage application
experience & health?
Ensure application security
& compliance ?

12. Leverage the Power of Machine Data
Applications,
Mobile Apps
Web server, App
server, DB
Security Devices &
Services
Infrastructure,
containers, VM
Internet of
Things
Real-Time Data Streams
Cloud, Cloud
Service
Analytics
App insights
IT Operations
IT Security
Business Insights
Real-Time Value
Logs|Metrics|Events

13. Leverage the Power of Machine Data
Cloud Native | Metrics & Logs |
Machine Learning
Build
Accelerate development and deployment
Secure
Ensure security and compliance
Run
Ensure performance and availability
Applications,
Mobile Apps
Web server, App
server, DB
Security Devices &
Services
Infrastructure,
containers, VM
Internet of
Things
Real-Time Data Streams
Cloud, Cloud
Service

14. Sumo Logic Machine Data Analytics
How it works?
Applications
Cloud
Network & Server
Internet of Things
Collector
Agent/
Cloud
Collector

15. Logs & metrics
Comprehensive Collection & Integrations
SAAS IAAS & PAAS CDN Infrastructure
Compliance & Security Containers Config Mgmt App Stacks

16. NativeAWS Integrations
Out of the box Insights into App & Infrastructure Security & Operational Health
Amazon CloudFront
AWS Config
AWS CloudTrail
AWS VPC Flow
AWS Lambda Amazon Inspector
Amazon S3
AWS Elastic Load Balancing

17. Sumo Logic: Advanced Analytics
What: Reduce thousands of
log lines into easily
understood patterns
Log Reduce
Value: Reduce MTTI/MTTR
by up to 90%
Value: Analyze migrations,
across releases &
environments
Log Compare
What: Compare baselines
before and after events
Outlier Detection
What: Monitor metrics &
KPIs via dynamic thresholds
Value: Accurate, real-time
alerting while eliminating
false-positives
Predictive Analytics
What: Leverage historical
data to predict future trends
Value: Proactively plan to
reduce risk

18. Fully Elastic On Demand
Agility, Scale, Performance
No Painful Upgrades
New Features Weekly
Superior Performance
Guaranteed SLAs
Always Available
4 Geos, 12AZs, 6 X Replication
Real-Time, Full-Stack Visibility
From Source to Sumo Instantly
Secure by Design
Industry’s Most Secure Platform
Up & Running in Minutes
Reduce Time to Value by 90%
No Management Overhead
Reduce TCO > 50%
Sumo Logic: Multi-tenant Cloud Architecture

19. Sumo Logic: Fully Secure
 PCI/DSS 3.1 Service Provider Level 1 Certified
 SOC 2 Type 2 attestation
 ISO 27001 certified
 CSA Star certified
 HIPAA-HITECH compliance
 U.S. – EU Privacy Shield
 AES 256-bit encryption at rest
 TLS encryption in transit
 FIPS 140-2 compliant
Protecting customer data with best-in-class security

20. Why Sumo Logic?
Cloud native,
multi-tenant architecture
Machine learning for
faster time to investigate
and resolve problems
Industry best
security
Unified & native logs
and metric analysis

21. Scripps Networks Interactive
Scripps Networks Interactive (Nasdaq: SNI) is
a leading developer of engaging lifestyle
content in the home, food and travel categories
for television, digital, mobile and publishing.
Our lifestyle media portfolio comprises popular
television and Internet brands:

22. SNI Infrastructure
Began cloud journey
approximately 4
years ago
Approximately 60% of
all infrastructure lives
in AWS
Translates to more than
2,600+ instances
All Customers facing
digital web
applications are
hosted in AWS
70+ million visitors per
day across all properties
6 PB+ of content served
monthly
Media and Content
Delivery applications
are in process of
moving to cloud over
the next year
At this point,
approximately 75% of all
infrastructure will live in
a cloud hosted solution

23. Challenges
Massive amounts of
data being generated
 Large number of
instances to manage
 Disparate log sources
 No easy way to
analyze all of these
logs for anomalies
No standard
toolsets on-premise
for managing logs
No easy way to
audit actions
Debugging
applications
Spikes!
 Thanksgiving
 Dreamhome

24. Solutions
We Needed:
Solution to be able to
scale with us
Audit trails
No PII data in logs!
Centralized way of looking at
all this data

25. The Platform consists of 5 focuses with evolving service
Cloud Platform
 Virtual Private Cloud
 Networking
 File Transfer
 Content Delivery
 Gateway
 Transcoding
 Disaster Recovery
 Automation
 Monitoring
 Guidance & Compliance
 Network
 Access Management
 Encryption
 Audit & System Logs
 Backup
 Vulnerability
 Web Application
 System Configurations
 Third Party Audits
 Analytics/Dashboards
 Optimization
 Cost Reports
 Utilization Reports
 Capacity Reports
 Asset Management
 Bootstrapping
 Self-provisioning
 Config Mgmt
 Chef
 Containers
 DB Automation
 Regional Data
Recovery
 Regionalization
 Recovery as a
Service
 Multi-Cloud
Global
Infrastructure
Security Ops Data
Management
Automation Business
Continuity

26. Cloud Platform
Cloud Transition Services
Infrastructure Service
Automation
24x7 Operations and
Administration Support
Monitoring & Logging Solutions
Cloud Consulting
Cloud Engineering
Cloud Automation
Cloud Support Services
Supported Cloud Platform
Solutions
Cloud Enablement & Solution
Implementation Services
Subject Matter Expertise
(Web Application, Cloud)
Application Deployment
Automation
Pipeline Management
Vendor Evaluation &
Engagement Management
Cost & Capacity Management Monitoring & Alerting
Cloud Optimization
Analytics & Reports
New Relic
Pingdom
Boundary
Sumologic
Application Solutions
Adobe CQ/AEM
Apache Solr
Aspera
Akamai
Automation Solutions
Jerkins
Jira
BitBucket
Opscode Chef
Cloud Providers - IAAS AWS
PagerDuty
ZenDesk
Strategic Advisory, Education &
Planning Services
Cloud Integration, Architecture
& Design
Cloud Guidance & Best
Practices

27. Data Management
Managing data as a valuable resource and turning collected data into
useful information
Goals/Benefits Services
 Compliance and Legal Challenge  Analytics
 Transparency Challenge  Dashboards
 Real Time Feedback  Optimization
 Customizable Reporting  Cost Reports
 Visualize Trending  Utilization Reports
 Informed Decision Making  Capacity Reports
 Improved Planning  Asset Management

28. Monitoring Solutions
Monitoring types/tools
Infrastructure
(AWS
Instances)
New Relic
Amazon
CloudWatch
 Nagios
 BMC Portal
 Monitis
Application
Performance
Monitoring
New Relic
 Appdynamics
Network Flow
Boundary
Log
Management
Sumologic
 Splunk Storm
 Loggly
 LOG.IO
Transaction
Monitoring
(URL)
 Amazon
CloudWatch
 Tmart
Pingdom
 Monitis
 Keynote
Real User
Monitoring
New Relic
 Gomez

29. Chose Sumologic as our logging solution
Solutions
Currently deployed on
every instance that is
instantiated in AWS
In addition, AWS CloudTrail
logs are also pushed to Sumo
Some on premise
applications are also
being pushed to Sumo

30. The Future
 Fully Centralized on premise and cloud logging
 Integration with security tools for intrusion detection
and auditing

31. Questions?