"Are you looking to harness the power of Akamai to make your systems smarter? This hands on session will dive deep into how to orchestrate control of the phased release, application load balancer cloudlets through our Luna Control Center or APIs to improve speed to market through automation and reduce risk of frequent code releases. Specifically, we'll explore use cases to teach you: -How to use the phased release cloudlet to rapidly deploy code to a small percentage of users in production, monitor the deployment, and then immediately roll back to the previous code if an unexpected problem occurs. -Leverage intelligence built into Akamai's distribute platform to load balance your Origin. If you automatically scale your Origin servers, find out how to automate the deployment of front end web servers with edge load balancing."

1. © AKAMAI - EDGE 2017
Cloudlets and DevOps – A dangerously powerful
combination to add agility into your app suite
Les Waltman
lwaltman@akamai.com

2. © AKAMAI - EDGE 2017
Customer Feedback
I want to offload
more to the Edge

3. © AKAMAI - EDGE 2017
Customer Feedback
If only Akamai
could let me do…

4. © AKAMAI - EDGE 2017
Customer Feedback
Make it SIMPLE

5. © AKAMAI - EDGE 2017
Grow revenue opportunities with fast, personalized
web experiences and manage complexity from peak
demand, mobile devices and data collection.
…and offload logic to
the Edge
What if you could
take work…

6. © AKAMAI - EDGE 2017
WHAT ARE CLOUDLETS?
 Micro Services executed at the Edge
 Outsources:
 Application code and lifecycle
 Computing Capacity

7. © AKAMAI - EDGE 2017
WHY CLOUDLETS FOR DEVOPS?
 Offload work that would otherwise be done at Origin
 Logic is completed at the Edge
 Self-servicable
 Granular user access permissions
 Configure through Luna UI, API, Akamai CLI, or
CSV import

8. © AKAMAI - EDGE 2017
Grow revenue opportunities with fast, personalized
web experiences and manage complexity from peak
demand, mobile devices and data collection.
Use CaseRedirect logic at the edge

9. © AKAMAI - EDGE 2017
Real life example
Geo specific redirects, logic at Origin lead to significant latency

10. © AKAMAI - EDGE 2017
Edge Redirector Use Cases
• Offload large redirect databases
• Use cookie to apply business logic to redirects
• Direct users based on their characteristics
• Granular permissions allow business users to only access specific
policies
• Possibilities are only limited to what we know about the user

11. © AKAMAI - EDGE 2017
How DevOps work with Cloudlets
API
Luna Portal
CSV File (uploaded via API or Luna)
Akamai CLI

12. © AKAMAI - EDGE 2017
Grow revenue opportunities with fast, personalized
web experiences and manage complexity from peak
demand, mobile devices and data collection.
Use CaseManage traffic surges

13. © AKAMAI - EDGE 2017
Prioritized User*
Visitor
How Visitor Prioritization Works
Normal Traffic Flow
● All users are routed to the application in normal traffic flow
● Application can become overloaded
During Application Overload
● Prioritized users are directed to the application
● During a traffic surge site administrators can adjust the rate normal
users will be let into to a waiting room or directed to the application
Waiting Room
Back-end
Application
In high demand
Back-end
Application
Prioritized User*
Visitor
Akamai Edge
Server
Akamai Edge
Server
Fig. 1: Normal Traffic
Fig. 2: Application Overload
* During traffic surges
prioritized users take
precedence over normal users
Akamai Edge
Server
Akamai Edge
Server
each cycle, probability settings
determine when users will be
routed to the application

14. © AKAMAI - EDGE 2017
Waiting Room Example
The Ticket Market
The Ticket Market
Just a moment ...
You are in a waiting room due to high demand and we are working hard to fulfill every request.
We want you to get your tickets as soon as possible.
Please do not go anywhere, do not log off or refresh your page.
At The Ticket Market our fans come first and we thank you for your patience.
Terms and Conditions | Privacy Policy | Help
Your one-stop shop for the
best in live entertainment
Branded waiting room experiences: games, discount coupons, countdown ticker, videos, ads
Not having a waiting room leads to a poor user experience: error pages, blank or timed out screens.

15. © AKAMAI - EDGE 2017
Create Controlled, Scalable Experiences
Selectively funnel users to the application based on
predefined traffic segments matching:
• Host
• Cookie
• Device Characteristics
• File Extension
• Query String
• Geography (continent/country/region)
Waiting Room Waiting Room Waiting Room
3 2 1
10% 50% 80%

16. © AKAMAI - EDGE 2017
Grow revenue opportunities with fast, personalized
web experiences and manage complexity from peak
demand, mobile devices and data collection.
The Cloudlet Approach to
1. Initialize and configure base service using Luna
2. Operate (activate, throttle, etc.) via integration methods (API or
Akamai CLI)

17. © AKAMAI - EDGE 2017
Use Cases
Commerce/
Travel
Media &
Entertainment
Public
Sector
Financial
Services
Retailers running a flash sale can track cookies to send visitors with a large amount in their shopping cart directly
to check out.
Broadcasters with Live Events can use the application to ensure viewers can login/register for their event and gain
access to the page where the live video event is being hosted.
Banks can use this application during the rush they experience during tax season to ensure customers can access
banking applications and there is not a negative brand perception caused by a poor performing or inaccessible
application.
Charities that are looking to accept donations on a large scale during a disaster relief event.
Universities that have large volumes of registrations or class schedule selections happening at the same time.

18. © AKAMAI - EDGE 2017
Grow revenue opportunities with fast, personalized
web experiences and manage complexity from peak
demand, mobile devices and data collection.
Use CaseReleasing new, frequent software releases

19. © AKAMAI - EDGE 2017
originB.website.com
originA.website.com
100%
● Gradually shift all or a segment of your visitors to test a
new experience without impacting your entire visitor base
● Failback immediately should you encounter a problem
● Control cookies to maintain stickiness - even during
failover
All visitors are being directed to Origin A
How Phased Release Works

20. © AKAMAI - EDGE 2017
originB.website.com
originA.website.com
100%
100%
● Gradually shift all or a segment of your visitors to test a
new experience without impacting your entire visitor base
● Failback immediately should you encounter a problem
● Control cookies to maintain stickiness - even during
failover
All visitors are being directed to Origin A
How Phased Release Works

21. © AKAMAI - EDGE 2017
originB.website.com
originA.website.com
100%
Edge server
assigns session
cookie
Cookie used to
maintain
stickiness
95%
5%
● Gradually shift all or a segment of your visitors to test a
new experience without impacting your entire visitor base
● Failback immediately should you encounter a problem
● Control cookies to maintain stickiness - even during
failover
15% of “orange” visitors are being directed to Origin B
How Phased Release Works

22. © AKAMAI - EDGE 2017
originB.website.com
originA.website.com
100%
100%
● Gradually shift all or a segment of your visitors to test a
new experience without impacting your entire visitor base
● Failback immediately should you encounter a problem
● Control cookies to maintain stickiness - even during
failover
All visitors are being directed to Origin A
How Phased Release Works

23. © AKAMAI - EDGE 2017
originB.website.com
originA.website.com
100%
● Gradually shift all or a segment of your visitors to test a
new experience without impacting your entire visitor base
● Failback immediately should you encounter a problem
● Control cookies to maintain stickiness - even during
failover
Edge server
assigns session
cookie
Cookie used to
maintain
stickiness
85%
15%
60% of “orange” visitors are being directed to Origin B
How Phased Release Works

24. © AKAMAI - EDGE 2017
originB.website.com
originA.website.com
100%
● Gradually shift all or a segment of your visitors to test a
new experience without impacting your entire visitor base
● Failback immediately should you encounter a problem
● Control cookies to maintain stickiness - even during
failover
Edge server
assigns session
cookie
Cookie used to
maintain
stickiness
40%
60%
60% of “orange” visitors are being directed to Origin B
How Phased Release Works

25. © AKAMAI - EDGE 2017
How Phased Release Works
originB.website.com
originA.website.com
100%
100%
Edge server
assigns session
cookie
Cookie used to
maintain
stickiness
● Gradually shift all or a segment of your visitors to test a
new experience without impacting your entire visitor base
● Failback immediately should you encounter a problem
● Control cookies to maintain stickiness - even during
failover
100% of “orange” visitors are being directed to Origin B

26. © AKAMAI - EDGE 2017
Step 1 – Create Policy
Specify Policy Name

27. © AKAMAI - EDGE 2017
Step 2 – Activate Phased Release Cloudlet Inside Property
Choose a specific path

28. © AKAMAI - EDGE 2017
Step 3 – Specify Alternate Origin(s)
Define Origin Name
Define Origin Hostname

29. © AKAMAI - EDGE 2017
Step 4 – Configure Logic • Cookie
• Device Characteristics
• File Extension
• Hostname
• Query String
• Contents of Request Header
• URL Path
• User Location
Choose a specific path
Change Origin
Apply to a percentage of traffic

30. © AKAMAI - EDGE 2017
Integration Tips
• Integrate as part of your Continual Integration
• Use Deployment Orchestration software (ie Jenkins or Chef) to control
Phased Release as part of your code deployment workflow
• Allow monitoring software (ie mPulse) to automatically failback to
known good code if a high error rate is detected.
• Integration is available via API and coming soon Akamai CLI

31. © AKAMAI - EDGE 2017
Grow revenue opportunities with fast, personalized
web experiences and manage complexity from peak
demand, mobile devices and data collection.
Use CaseDistribute traffic across different data centers

32. © AKAMAI - EDGE 2017
ORIGIN DATACENTERS
Multi-region / multi-cloud origin architectures
Apps with high availability at the session level
on-premise
systems
private
cloud
public
cloud
hybrid
cloud
PERFORMANCE
Application Load Balancer Cloudlet

33. © AKAMAI - EDGE 2017
is a multi-layer load balancer leveraging attributes from both the application layer (Layer 7)
and the DNS layer (Layer 3) providing control over traffic directed to various data
sources.
Session Stickiness
Cookie Based Session Stickiness maintains control for consistent
session stickiness behaviors
Origin Health Checks
Origin Health Checks w/ Seamless Failover and Outage Response
No Hardware, No Code
Reduce complexity & offload routing logic from your data tier to
Akamai
Fast, Intelligent Routing
Akamai’s SureRoute algorithm provides high availability and
instant scale through dynamic route optimization and failover logic*
Easy to Setup
Easy to use interface, and included API, allow you to click to
design and activate policies and/or extend cloudlet controls to
operations staff
Application Load Balancer
* SureRoute is only available for accelerated delivery products ©2017 AKAMAI | FASTER FORWARDTM

34. © AKAMAI - EDGE 2017
How we get started
• For each Data Center/Origin we define:
• Hostname
• Location
• Load target
• Liveliness test
• Activate Load Balancing setup in Property Manager

35. © AKAMAI - EDGE 2017
Common Use Case 1
Three private data-centers spread throughout Europe. Running
active/active. Session stickiness very important as is failover.

36. © AKAMAI - EDGE 2017
Application Load Balancer
Load Balancing Use Case: Multiple DCs + Session Stickiness + Failover
Rule A
Load Balancing
Setup 1
Serve
r 1
Serve
r 2
LTM
Data Center UK
Serve
r 1
Serve
r 2
LTM
Data Center Spain
Serve
r 1
Serve
r 2
LTM
Data Center Germany
HTTP Layer Based Rules:
• User location data
• URL path
• Ex. Micro services URL
routing
• Cookie
• Device characteristics
• Ex. Mobile users
• File Extensions
• Etc.
Simple Application Load Balancer
Setup -
one rule and one load balancing
setup
LTM  Local Traffic Manager
(ex. F5)

37. © AKAMAI - EDGE 2017
Application Load Balancer
Load Balancing Use Case: Multiple DCs + Session Stickiness + Failover
Rule A
Load Balancing
Setup 1
Serve
r 1
Serve
r 2
LTM
Data Center UK
Serve
r 1
Serve
r 2
LTM
Data Center Spain
Serve
r 1
Serve
r 2
LTM
Data Center Germany
Client makes a
request from UK
1

38. © AKAMAI - EDGE 2017
Application Load Balancer
Load Balancing Use Case: Multiple DCs + Session Stickiness + Failover
Rule A
Load Balancing
Setup 1
Serve
r 1
Serve
r 2
LTM
Data Center UK
Serve
r 1
Serve
r 2
LTM
Data Center Spain
Serve
r 1
Serve
r 2
LTM
Data Center Germany
Client makes a
request from UK
1
Request matches to Rule A that
includes user location data based
on country with the client
connecting IP address
2

39. © AKAMAI - EDGE 2017
Application Load Balancer
Load Balancing Use Case: Multiple DCs + Session Stickiness + Failover
Rule A
Load Balancing
Setup 1
Serve
r 1
Serve
r 2
LTM
Data Center UK
Serve
r 1
Serve
r 2
LTM
Data Center Spain
Serve
r 1
Serve
r 2
LTM
Data Center Germany
Client makes a
request from UK
1
Request matches to Rule A that
includes user location data based
on country with the client
connecting IP address
2
Rule A is associated with Load
Balancing Setup 1 which uses
performance load balancing to
send request to closest data
center
3

40. © AKAMAI - EDGE 2017
Application Load Balancer
Load Balancing Use Case: Multiple DCs + Session Stickiness + Failover
Rule A
Load Balancing
Setup 1
Serve
r 1
Serve
r 2
LTM
Data Center UK
Serve
r 1
Serve
r 2
LTM
Data Center Spain
Serve
r 1
Serve
r 2
LTM
Data Center Germany
Client makes a
request from Spain
1

41. © AKAMAI - EDGE 2017
Application Load Balancer
Load Balancing Use Case: Multiple DCs + Session Stickiness + Failover
Rule A
Load Balancing
Setup 1
Serve
r 1
Serve
r 2
LTM
Data Center UK
Serve
r 1
Serve
r 2
LTM
Data Center Spain
Serve
r 1
Serve
r 2
LTM
Data Center Germany
Client makes a
request from Spain
1
Request matches to Rule A that
includes user location data based
on country with the client
connecting IP address
2

42. © AKAMAI - EDGE 2017
Application Load Balancer
Load Balancing Use Case: Multiple DCs + Session Stickiness + Failover
Rule A
Load Balancing
Setup 1
Serve
r 1
Serve
r 2
LTM
Data Center UK
Serve
r 1
Serve
r 2
LTM
Data Center Spain
Serve
r 1
Serve
r 2
LTM
Data Center Germany
Client makes a
request from Spain
1
Request matches to Rule A that
includes user location data based
on country with the client
connecting IP address
2
Rule A is associated with Load
Balancing Setup 1 which uses
performance load balancing to
send request to closest data
center
3

43. © AKAMAI - EDGE 2017
Application Load Balancer
Load Balancing Use Case: Multiple DCs + Session Stickiness + Failover
Rule A
Load Balancing
Setup 1
Serve
r 1
Serve
r 2
LTM
Data Center UK
Serve
r 1
Serve
r 2
LTM
Data Center Spain
Serve
r 1
Serve
r 2
LTM
Data Center Germany
1 Client makes a
request from
Germany

44. © AKAMAI - EDGE 2017
Application Load Balancer
Load Balancing Use Case: Multiple DCs + Session Stickiness + Failover
Rule A
Load Balancing
Setup 1
Serve
r 1
Serve
r 2
LTM
Data Center UK
Serve
r 1
Serve
r 2
LTM
Data Center Spain
Serve
r 1
Serve
r 2
LTM
Data Center Germany
Request matches to Rule A that
includes user location data based
on country with the client
connecting IP address
2
1 Client makes a
request from
Germany

45. © AKAMAI - EDGE 2017
Application Load Balancer
Load Balancing Use Case: Multiple DCs + Session Stickiness + Failover
Rule A
Load Balancing
Setup 1
Serve
r 1
Serve
r 2
LTM
Data Center UK
Serve
r 1
Serve
r 2
LTM
Data Center Spain
Serve
r 1
Serve
r 2
LTM
Data Center Germany
Request matches to Rule A that
includes user location data based
on country with the client
connecting IP address
2
Rule A is associated with Load
Balancing Setup 1 which uses
performance load balancing to
send request to closest data
center
3
1 Client makes a
request from
Germany

46. © AKAMAI - EDGE 2017
Application Load Balancer
Load Balancing Use Case: Multiple DCs + Session Stickiness + Failover
Rule A
Load Balancing
Setup 1
Serve
r 1
Serve
r 2
LTM
Data Center UK
Serve
r 1
Serve
r 2
LTM
Data Center Spain
Serve
r 1
Serve
r 2
LTM
Data Center Germany
Data Center in UK goes
down: (e.g. maintenance,
outage, etc.)

47. © AKAMAI - EDGE 2017
Application Load Balancer
Load Balancing Use Case: Multiple DCs + Session Stickiness + Failover
Rule A
Load Balancing
Setup 1
Serve
r 1
Serve
r 2
LTM
Data Center UK
Serve
r 1
Serve
r 2
LTM
Data Center Spain
Serve
r 1
Serve
r 2
LTM
Data Center Germany
Automatic Failover Occurs
sending UK user to Data
Center in Spain

48. © AKAMAI - EDGE 2017
Common Use Case 2
Hybrid setup with two private data centers and cloud instance.
Running non-critical assets in the cloud. Session stickiness important
as is failover.

49. © AKAMAI - EDGE 2017
Load Balancing Use Case: Cloud Migration
Serve
r 1
Serve
r 2
LTM
Data Center 1
Application Load Balancer
Serve
r 1
Serve
r 2
LTM
Data Center 2
Rule A
Load Balancing
Setup 1 includes
DC1 & DC2
Rule B
Load Balancing
Setup 2 includes
DC3 & DC4
HTTP Layer Based Rules:
• User location data
• URL path
• Ex. Micro services URL
routing
• Cookie
• Device characteristics
• Ex. Mobile users
• File Extensions
• Etc.

50. © AKAMAI - EDGE 2017
Load Balancing Use Case: Cloud Migration
Serve
r 1
Serve
r 2
LTM
Data Center 1
Application Load Balancer
Client makes a request to
access their online banking
1
Serve
r 1
Serve
r 2
LTM
Data Center 2
Rule A
Load Balancing
Setup 1 includes
DC1 & DC2
Rule B
Load Balancing
Setup 2 includes
DC3 & DC4

51. © AKAMAI - EDGE 2017
Load Balancing Use Case: Cloud Migration
Serve
r 1
Serve
r 2
LTM
Data Center 1
Application Load Balancer
1
Serve
r 1
Serve
r 2
LTM
Data Center 2
Rule A
Load Balancing
Setup 1 includes
DC1 & DC2
Rule B
Load Balancing
Setup 2 includes
DC3 & DC4
That request gets
matched to Rule A
that includes session
stickiness
2
Client makes a request to
access their online banking

52. © AKAMAI - EDGE 2017
Load Balancing Use Case: Cloud Migration
Serve
r 1
Serve
r 2
LTM
Data Center 1
Application Load Balancer
1
Serve
r 1
Serve
r 2
LTM
Data Center 2
Rule A
Load Balancing
Setup 1 includes
DC1 & DC2
Rule B
Load Balancing
Setup 2 includes
DC3 & DC4
That request gets
matched to Rule A
that includes session
stickiness
2
Rule A is associated
with Load Balancing
Setup 1 which directs
traffic to either DC1 or
DC2
3
Client makes a request to
access their online banking
©2017 AKAMAI | FASTER FORWARDTM

53. © AKAMAI - EDGE 2017
Load Balancing Use Case: Cloud Migration
Serve
r 1
Serve
r 2
LTM
Data Center 1
Application Load Balancer
Serve
r 1
Serve
r 2
LTM
Data Center 2
Rule A
Load Balancing
Setup 1 includes
DC1 & DC2
Rule B
Load Balancing
Setup 2 includes
DC3 & DC4
1 Client makes a request to view a
landing page or marketing website
©2017 AKAMAI | FASTER FORWARDTM

54. © AKAMAI - EDGE 2017
Load Balancing Use Case: Cloud Migration
Serve
r 1
Serve
r 2
LTM
Data Center 1
Application Load Balancer
Serve
r 1
Serve
r 2
LTM
Data Center 2
Rule A
Load Balancing
Setup 1 includes
DC1 & DC2
Rule B
Load Balancing
Setup 2 includes
DC3 & DC4
1 Client makes a request to view a
landing page or marketing website
2 That request gets
matched to Rule B that
includes specific URL
Path
©2017 AKAMAI | FASTER FORWARDTM

55. © AKAMAI - EDGE 2017
Load Balancing Use Case: Cloud Migration
Serve
r 1
Serve
r 2
LTM
Data Center 1
Application Load Balancer
Serve
r 1
Serve
r 2
LTM
Data Center 2
Rule A
Load Balancing
Setup 1 includes
DC1 & DC2
Rule B
Load Balancing
Setup 2 includes
DC3 & DC4
1 Client makes a request to view a
landing page or marketing website
2 That request gets
matched to Rule B that
includes specific URL
Path
3 Rule B is associated with Load
Balancing Setup 2 which directs traffic
to the cloud provider of choice

56. © AKAMAI - EDGE 2017
Forward
Rewrite
… helps when converting
dynamic URLs to be SEO-
friendly clean or semantic URLs
… provides conditional visitor
access to your content or app
based on match rules including
users’ IP or Geography
… manages flash crowds to
your API for native mobile apps
& single page web applications
Visitor
Prioritization
… provides a visitor- friendly
waiting room application for busy
sites with flash crowds
Edge
Redirector
… easily manages and offloads
URL redirects
API
Prioritization
Available Cloudlets
… helps perform a traffic split w/
cookies for A/B testing w/
session stickiness
Request
Control
Audience
Segmentation
… helps protect your site from
behavioral or brute force attacks
through misuse of web forms
Input
Validation
… helps facilitate a fast rollout of
code changes to production with
real users and the ability to failback
Phased
Release

57. © AKAMAI - EDGE 2017
Forward
Rewrite
… helps when converting
dynamic URLs to be SEO-
friendly clean or semantic URLs
… provides conditional visitor
access to your content or app
based on match rules including
users’ IP or Geography
… manages flash crowds to
your API for native mobile apps
& single page web applications
Visitor
Prioritization
… provides a visitor- friendly
waiting room application for busy
sites with flash crowds
Edge
Redirector
… easily manages and offloads
URL redirects
API
Prioritization
Available Cloudlets
… helps perform a traffic split w/
cookies for A/B testing w/
session stickiness
Request
Control
Audience
Segmentation
… helps protect your site from
behavioral or brute force attacks
through misuse of web forms
Input
Validation
… helps facilitate a fast rollout of
code changes to production with
real users and the ability to failback
Phased
Release

58. © AKAMAI - EDGE 2017
Forward
Rewrite
… helps when converting
dynamic URLs to be SEO-
friendly clean or semantic URLs
… provides conditional visitor
access to your content or app
based on match rules including
users’ IP or Geography
… manages flash crowds to
your API for native mobile apps
& single page web applications
Visitor
Prioritization
… provides a visitor- friendly
waiting room application for busy
sites with flash crowds
Edge
Redirector
… easily manages and offloads
URL redirects
API
Prioritization
Available Cloudlets
… helps perform a traffic split w/
cookies for A/B testing w/
session stickiness
Request
Control
Audience
Segmentation
… helps protect your site from
behavioral or brute force attacks
through misuse of web forms
Input
Validation
… helps facilitate a fast rollout of
code changes to production with
real users and the ability to failback
Phased
Release

59. © AKAMAI - EDGE 2017
Forward
Rewrite
… helps when converting
dynamic URLs to be SEO-
friendly clean or semantic URLs
… provides conditional visitor
access to your content or app
based on match rules including
users’ IP or Geography
… manages flash crowds to
your API for native mobile apps
& single page web applications
Visitor
Prioritization
… provides a visitor- friendly
waiting room application for busy
sites with flash crowds
Edge
Redirector
… easily manages and offloads
URL redirects
API
Prioritization
Available Cloudlets
… helps perform a traffic split w/
cookies for A/B testing w/
session stickiness
Request
Control
Audience
Segmentation
… helps protect your site from
behavioral or brute force attacks
through misuse of web forms
Input
Validation
… helps facilitate a fast rollout of
code changes to production with
real users and the ability to failback
Phased
Release

60. © AKAMAI - EDGE 2017
Forward
Rewrite
… helps when converting
dynamic URLs to be SEO-
friendly clean or semantic URLs
… provides conditional visitor
access to your content or app
based on match rules including
users’ IP or Geography
… manages flash crowds to
your API for native mobile apps
& single page web applications
Visitor
Prioritization
… provides a visitor- friendly
waiting room application for busy
sites with flash crowds
Edge
Redirector
… easily manages and offloads
URL redirects
API
Prioritization
Available Cloudlets
… helps perform a traffic split w/
cookies for A/B testing w/
session stickiness
Request
Control
Audience
Segmentation
… helps protect your site from
behavioral or brute force attacks
through misuse of web forms
Input
Validation
… helps facilitate a fast rollout of
code changes to production with
real users and the ability to failback
Phased
Release

61. © AKAMAI - EDGE 2017
Forward
Rewrite
… helps when converting
dynamic URLs to be SEO-
friendly clean or semantic URLs
… provides conditional visitor
access to your content or app
based on match rules including
users’ IP or Geography
… manages flash crowds to
your API for native mobile apps
& single page web applications
Visitor
Prioritization
… provides a visitor- friendly
waiting room application for busy
sites with flash crowds
Edge
Redirector
… easily manages and offloads
URL redirects
API
Prioritization
Available Cloudlets
… helps perform a traffic split w/
cookies for A/B testing w/
session stickiness
Request
Control
Audience
Segmentation
… helps protect your site from
behavioral or brute force attacks
through misuse of web forms
Input
Validation
… helps facilitate a fast rollout of
code changes to production with
real users and the ability to failback
Phased
Release

62. © AKAMAI - EDGE 2017
Akamai Marketplace
Where can I get Cloudlets?

63. © AKAMAI - EDGE 2017
Grow revenue opportunities with fast, personalized
web experiences and manage complexity from peak
demand, mobile devices and data collection.

64. © AKAMAI - EDGE 2017