Alan Williams, Principal Engineer at Autodesk, and Praveen Rangnath, Director of Cloud Product Marketing at Splunk, presented at a conference in Las Vegas on November 13, 2014. They discussed how Autodesk has reduced costs by 35-50% by migrating infrastructure to AWS and how Splunk provides log aggregation and analytics across all of Autodesk's AWS accounts. They also provided examples of Splunk applications for AWS CloudTrail, business intelligence dashboards, and security incident response.
(ENT212) How Autodesk Leverages Splunk as an Assurance Platform on AWS | AWS re:Invent 2014
1. November 13, 2014 | Las Vegas, NV
Alan Williams, Principal Engineer at Autodesk
Praveen Rangnath, Director of Cloud Product Marketing at Splunk
2. Engineer @ Autodesk
General technologist
AWS for ~4 years
Splunkfor ~1 year
Motorcyclist
Soft spot for pit bulls
Who am I?
3. Leader in 3D design, engineering, and entertainment software
Introduced AutoCAD in 1982
Empowering the Maker movement
Help our customers imagine, design, and create a better world
Who is Autodesk?
http://autode.sk/1iwthdz
8. Take inventory of existing hardware
Use the AWS calculator
http://calculator.s3.amazonaws.com/index.html
Cost/compute analysis
Let’s begin with cost analysis…
9. Cost analysis —account for everything
Hardware and maintenance
Power and cooling
Rack space
Storage
(FC + SATA)
Servers
Load balancers
10. What we noticed…
Total cost of server hardware
vs
Total cost of AWS instances
=
35% lower for AWS
Total cost of all on- premise infra
vs
Total cost of all AWS infra
=
50% lower for AWS
11. We can’t compete on price
Economies of scale
We can’t compete on speed
Time to provision
Time to innovate —deliver new features
Outcome
12. Production workloads
Customer facing
Business critical
Big data analytics
Dev/test environments
Net new systems
Proof of concepts
Many AWS use cases
14. Leverages existing investments
Standard log aggregation platform
SplunkApp for AWS
Familiar technology
Logging = Splunk
Single view across all accounts
Why Splunk?
15. Operations insights and troubleshooting
Analyzing data from thousands of endpoints globally
Centralized visibility across all AWS accounts
SplunkApp for AWS CloudTrail
Security incidents response
Event auditing
SplunkApp for Enterprise Security
Business intelligence
Product metrics dashboards —executive visibility using Splunk
Product analytics
Assurance for AWS adoption
29. 29
Splunkcompany overview
Company (NASDAQ: SPLK)
Founded 2004, first software release in 2006
HQ: San Francisco / Regional HQ: London, Hong Kong
Over 1,200 employees, based in 12 countries
Annual revenue: $302.6M (YoY+52%)
Business model / products
Free download to massive scale
On-premises, in the cloud and SaaS
7,900+ customers
Customers in 100 countries
Over 2/3 of the Fortune 100
Largest license: 100 terabytes per day
Fast Company 2013: Named Splunk #4 Most Innovative Company in the World and #1 Big Data Innovator
Leader: Gartner SIEM Magic Quadrant, 2014
30. What is machine data?
Volume | Velocity| Variety | Variability
GPS,
RFID,
hypervisor,
web servers,
email, messaging,
clickstreams, mobile,
telephony, IVR, databases,
sensors, telematics, storage,
servers, security devices, AWS CloudTrail
Machinedatais the fastest growing, most complex, most valuable area of big data
30
31. 31
What does machine data look like?
Sources
Twitter
Care IVR
Middleware error
Order processing
32. 32
Machine data contains critical insights
Customer ID
Order ID
Customer’s tweet
Time waiting on hold
Twitter ID
Product ID
Company’s Twitter ID
Sources
Twitter
Care IVR
Middleware error
Order processing
Customer ID
Order ID
Customer ID
33. 33
Machine data contains critical insights
Order ID
Customer’s tweet
Time waiting on hold
Product ID
Company’s Twitter ID
Sources
Twitter
Care IVR
Middleware error
Order processing
Order ID
Customer ID
Twitter ID
Customer ID
Customer ID
34. IT
operations
Security and compliance
Digital intelligence
App devand
app mgmt.
Developer platform (REST API, SDKs)
Business analytics
Industrial data and Internet of things
Small data. Big data. Huge data.
Use cases for machine data analytics
34
Core use cases
Emerging use cases
35. Industry-leading platform for machine data
Machine data: Any location, type, volume
Online Services
Web Services
Servers
Security
GPS Location
Storage
Desktops
Networks
Packaged Applications
Custom
Applications
Messaging
Telecoms
Online Shopping Cart
Web Clickstreams
Databases
Energy Meters
Call Detail Records
Smartphones and Devices
RFID
On-
premises
Hosted
Cloud
Platform support (apps / API / SDKs)
Enterprise scalability
Universal indexing
Answer any question
Developerplatform
Report and analyze
Custom dashboards
Monitor and alert
Ad hoc search
35
38. Splunk Cloud —Full-featuredSaaS platform
Full power of Splunk Enterprise
Access to 600+ apps
Hybrid deployment architecture
38
39. Hybrid search
Search Head(s)
Indexer(s)
Search Head(s)
Indexer(s)
On premises
Hosted
Cloud
On premises
Hosted
Cloud
Single pane of glass visibility
39
40. Splunk Cloud —Enterprise-ready service
Industry-leading scalability and flexibility
Architectedfor uptime and performance
100% uptime SLA
Robust enterprise security
5 GB/day—5 TB/day plans
No data comingling;
security attestations
40
41. High availabilityacross indexersand search heads
Multiple AWS Availability Zones
Dedicated environments
Splunk Cloud fully monitored using Splunk Enterprise
Built for 100% uptime
41
42. Splunk Cloud —Easy
ACCELERATED TIME TO VALUE &
FASTER ROI
Starts at $675 per month / 33% price reduction
Splunk Online Sandbox
Immediate deployment
42
43. Forward data
Search
Monitor
Get value fast
What you do
Hardware setup
Storage
Scaling
Monitoring
What we do
43