ColdFusion Summit 2016

Developing High Performance and Scalable ColdFusion Applications

Using Terracotta Ehcache

By: Shailen Prasad

Product Management & Strategy

In-Memory Computing

Software AG USA, Inc.

What is this?

Growth will happen when efficiency increases. Plow did what

"In-Memory computing is doing to the human race today"

Why you (and I) are here ?

What will be covered in this presentation?

How to scale options (pros and cons)

Caching basics (various options available)

Recent updates of Open source Ehcache project.

Ehcache, Terracotta OSS and BigMemory

The benefits of distributed caching for building applications where latency and performance is

crucial.

Advance caching techniques for scaling your current CF application using Terracotta distribution

caching (BigMemory)

To conclude, highlights on some customer use cases where caching was mission critical

In-Memory caching and data management is becoming mainstream for accelerating

business applications. This session will introduce :

SCALE OUT

SCA

LE U

P

Scale your existing applicationAlso knowns as Vertical Scaling

Pros:

Less power consumption than running multiple servers

Generally less challenging to implement

Less licensing costs Cons:

$$$ VERY EXPENSIVE Greater risk of hardware failure

causing bigger outages

Generally severe vendor lock-in and limited upgradeability in the

future.

Also knowns as Horizontal Scaling

Pros:

$ Much cheaper than scaling vertically

Easier to run fault-tolerance Generally easier to upgrade

Cons:

Bigger datacenter foot print Higher power consumptions Possibly more network resource

dependency

Ad

din

g m

ore

RA

M/C

PU

Adding more machines

In-Memory Caching In a nutshell

On Heap Cache (also known as In-Process Cache) or L1 cache

ColdFusion Application

CF Internals

On Heap

Cache

JVM

Fastest among all other caching tier

Doesnt require marshalling and un-marshalling of the data

Limited by Max JVM heap size (limited on 32 bit systems)

Garbage collection still remains the challenge

Caching In a nutshell

Local Off Heap Cache (in-process caching) or L1 cache

ColdFusion Application

CF Internals

Local On-heap

Cache

JVM

Local Off-heap Cache

Direct memory buffers

Access Memory outside of Application heap

Can Scale as it is not limited by JVM heap size even on a 32 bit machine

Application doesnt have to worry about Garbage collection for the data stored in off-heap

Slower than on-heap cache, entries has to serialized and de-serialized.

JVM

Local Off-heap Cache

Caching In a nutshell

Distributed Off Heap Cache (also known as Out-of-Process

Cache) or L2 cacheColdFusion

Application

CF Internals

Local On-heap

Cache

JVM

L1Off-heap Cache

JVM

L2 Off-heap Cache Runs outside of the Application Server JVM

Slower than local offheap reads/writes are over the network

Highly scalable with its distributed design

Adds resiliency with more fault tolerance

JAVAs MOST WIDELY USED CACHE

Seamless integration with many popular Java frameworks/applications

Open Source

Current in CF2016 - Ehcache 2.10.0

Ehcache 3.x (complete overhaul with lots of improvements!!

Revamped API that leverages Java generics and simplifies Cache interactions

Full compatibility with javax.cache API (JSR-107)

Offheap storage capabilities, including offheap only caches

Out of the box Spring Caching and Hibernate integration thanks to the javax.cache support

Significant improvement in performance over all its previous versions

And many more ... (more at www.ehcache.org)

90% of Data in

Memory

MODERNIZE Database

90% of Data in

Database

Memory

App Response Time

MillisecondsApp Response Time

Microseconds

Since ColdFusion 9

ColdFusion's Ehcache resources

1. CF2016 Ehcache 2.10.0 (Latest Ehcache in 2.x line: 2.10.2)

2. CF 2016 Ehcache libs:

/cfusion/lib/ehcache-2.10.0.jar (core library)

/cfusion/lib/ehcache-web-2.0.4.jar (web content caching)

/cfusion/lib/hibernate-ehcache-4.3.10.Final.jar

3. CF 2016 Ehcache configurations:

/cfusion/lib/ehcache.xml

/cfusion/lib/auth-ehcache.xml

/cfusion/lib/ehcache-default-config.xml

ColdFusion's current use of Ehcache

CF Authentication:

auth---ehcache.xml: authcache, authtokenmappingcache

Internal Caching (CF templates, component paths)

- Cache fragments of html

- Cache DB calls

A Classic CF application

A common challenge

As the application user base increases the user experience starts to get questioned (?)

Lets get the plow working

A quick and simple solution Ehcache Standalone (LOCAL CACHING)

Improved caching Ehcache Replication

Improve Caching with some caveats

Coldfusion + Ehcache + Terracotta Opensource

=

Seamless, Powerful Distributed In-Memory

Caching with Free Open-Source Software

Just a little tweak on the Ehcache.xml

Terracotta 4.x Open Source Offering/Architecture

Standard Java

Proven TBs scale capacity

Not managed by the JVM

No Garbage Collections

Predictable latencies

No specialized appliance needed

Easy scalability: New clients can access all cached data

Powerful H/A = Automatic failover/no cache data loss

ColdFusion + Ehcache +Terracotta

Terracotta Distributed Ehcache: High Scalability Caching

Coldfusion + Ehcache + Terracotta Bigmemory

=

Seamless, Powerful Distributed In-Memory

Caching with Free Open-Source Software

Any kind of data can be stored in Terracotta BigMemory to make

an application speed up & scale out

Terracotta BigMemory has different tiers for data storage

that can be configured based on an applications

requirements

Terracotta In-Memory Data grid - Rich data storage & Access

Terracotta BigMemory Scale out indefinitely

Terracotta BigMemory Performance Scaling

Terracotta BigMemory Max* provides predicable latency and throughput as data volume increases

Choose your own cache read consistency

with simple config change

Terracotta Management Console

View your Terracotta servers and clients topology

Terracotta BigMemory Manage & Monitor

Track performance trends and discovering potential issues.

Terracotta Management Console

Monitor all cache instances and their configuration and manage your cache/cache manager.

Terracotta Management Console

BigMemory SQL queries against your caches

Terracotta BigMemory Fast Restart Store

Big Memory's disk persistence and Fast Restartability

Setting up Coldfusion 2016

with Terracotta 4.3.2

Terracotta OSS Setup is just a few steps

1. Download Terracotta OSS (latest terracotta-4.3.2.tar.gz) at

http://www.terracotta.org/downloads/open-source/catalog

2. Extract to the location of your choice

3. Ensure JAVA_HOME is set

4. Navigate to /server/bin

5. Start with default single node config by executing:

start-tc-server.sh (or .bat)

6. Terracotta process is now accessible at IP:9510

Note: If setting up Terracotta in active/mirror setup, tc---config.xml must be created and referenced

at startup:

start-tc-server.sh (or .bat) -f /tc-config.xml n

Connecting ColdFusion to Terracotta in few steps

1. Copy Ehcache + Terracotta libs to /cfusion/lib

/apis/ehcache/lib/ehcache-2.10.1.jar

/apis/toolkit/lib/terracotta-toolkit-runtime-4.3.2.jar

2. Add terracotta-specifics configurations in CF ehcache configs:

/cfusion/lib/ehcache.xml

/cfusion/lib/auth-ehcache.xml

3. Restart CF

4. Notice Terracotta connection in CF logs

All the below CF caches are now in Terracotta

CF Authentication:

auth---ehcache.xml: authcache, authtokenmappingcache

Internal Caching (CF templates, component paths)

- Cache fragments of html

- Cache DB calls

Still so much used and Distributed

The Picture says it all !!! The power of distributed In-Memory computing.

Customer Use cases

Success Stories: Fortune 500 online payment processor

Radically Improving Profitability With Better, Faster

Fraud DetectionSPEED

What they wanted

Before BigMemory

Dramatically boost bottom-line profit through faster, more accurate fraud detection

Lost 30 cents on every $100 to fraud With Oracle Exadata, failed to meet 800 ms

SLA around 10% of time

Limited to 50 rules, even though each new rule generated $12 million in profit

Success Stories: Fortune 500 online payment processor

SPEEDSPEED

After BigMemory:

Savings of tens of millions of dollars in reduced costs from missed SLAs and fraudulent charges

Meeting stricter 650-millisecond SLA 99% of time

Savings of $1 million annually in reduced database licenses

Plans to expand from 4TB to 150TB for new applications and to achieve 250 millisecond SLA

Success Stories: Healthcare.gov

The team began almost immediately to

cache the data. The result was encouraging:

the site's overall response time--the time it

took a page to load--dropped on the evening

of Oct. 22 from eight seconds to two. That

was still terrible, of course, but it represented

such an improvement that it cheered the

engineers. They could see that HealthCare.gov

could be saved instead of scrapped.

Success Stories: Healthcare.gov

Challenges All data access to backend database (many round-trips) 10+ seconds response times Numerous down-times due to concurrent users

Benefits Provide in-memory data access such as subscriber data and provider

comparison information Session replication of user profile info Performance & Scalability

Success Stories: Healthcare.gov

App

Server

App ServerApp Server

App ServerApp Server

Ehcache

App ServerApp Servers

App Server

Ehcache

Security Gateway

Presentation Zone Application Zone

App Server

App Servers

JMS

Individual

& Families

Issuers

3rd Parties

(B2B)

SOR

Thank you!

Not new but still makes a difference everyday!

Questions?

www.ehcache.org

www.terracotta.org

www.softwareag.com

Shailen Prasad

Sr. Mgr, Product Management & Strategy (Terracotta),

Software AG USA, Inc.

Shailendra.prasad@softwareag.com

www.linkedin.com/in/shailenprasad

www.twitter.com/shailenprasad

Thank you!