This document discusses new features in Adobe Experience Manager (AEM) 6, including the new Oak content repository which provides improved scalability, performance, and distributed capabilities. Oak is based on Apache Jackrabbit and uses a microkernel architecture with pluggable node and data storage options like TarMK and MongoMK. It also covers new search capabilities via pluggable index providers like Lucene and Solr. The presentation demonstrates improvements in areas like operations dashboarding, one-click setup, developer mode, and Eclipse tooling. It provides a sneak peek at the new Granite.JS micro engine for building lightweight Node.js-based server applications on AEM.

1. New Repository in AEM 6
and other goodies for developers
Michael Marth, Adobe

2. About @michaelmarth
Senior Engineering Manager at Adobe
Responsible for Granite platform

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Before we start
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Certifications

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Scalability Oak
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AEM 6.0 Content Repository

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AEM 6.0 Content Repository
Goals
 Scalability
 Big repositories
 Distributed, many cluster nodes
 Write throughput
 Parallel writes
 Write performance
 Many child nodes
 Many ACLs
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Project “Oak”
 aka Jackrabbit 3, all open source
 Apache Software Foundation
http://jackrabbit.apache.org/oak/
 Implementation of the JCR spec, JSR-283
Your apps run unchanged

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Architecture
6
JCR
oak-core
Micro kernel
Oak API
Micro kernel API

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Microkernel choose according to your scalability and
performance requirements
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jjjJCR Content Repository
Persistence
AEM
Performance Optimized and Made for Scale

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Node Store Where nodes get stored
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Nodes Binaries
• Tar MK
Tar files, locally
• MongoMK
MongoDB
• …
(other are WIP)
oak-core
JCR

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Data Stores Where the binary data gets stored
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• File System (local, NAS,
SAN)
shareable
• S3
for AWS deployments
• In Tar files
easier backup and ops
• In MongoDB
easier backup and ops
oak-core
JCR
Nodes Binaries

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TarMK Memory-mapped files
10
92 GB
unused
CQ5.x Tar PM 100GB RAM in Server
8GB
JVM
AEM6 Tar MK: 100GB RAM in Server
8GB
JVM
92 GB off-heap
used for running the repo from RAM

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MongoMK Cluster Deployment Topologies
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MongoS
AEM with
Oak
MongoD Primary MongoD Secondary MongoD Secondary
MongoDB replication
r/w r r
MongoS
AEM with
Oak
MongoS
AEM with
Oak
ShareNothing
ShareNothing

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Micro Kernels Which one shall I use?
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AEM6 Author
default: TarMK
local, fast, easy to operate
“I need reliability”: TarMK + Failover instance
HTTP-transported copy of instance, failover switch e.g. Nagios
“I need scalability”: MongoMK Cluster
Scale CPU (many AEM instances)
Scale read throughput (many Mongo replicas)
Scale globally (distribute replicas globally)
“I cannot change the repository”: Remain on CRX2 Cluster
Supported, but deprecated

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Micro Kernels Which one shall I use?
13
AEM6 Publish
Primary use case is Publishing: TarMK as a “Farm” (independent
instances)
fast, independent, easy to operate
Primary use case is User Generated Content: MongoMK in a Publish
Cluster
all Publish instances running on same MongoDB

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Search Pluggable Index Providers
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• Property Index Provider
stored in repo, backup’ed
sync/async
re-indexable asynchronously
ordered indexes
• Lucene
full-text extraction
stored in data store
• Solr
in JVM (OSGi runtime) or remote (for
production)
native queries language exposed
oak-core
JCR
MK

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Search Configurable Indexes
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• Index Definition via nodes
not everything indexed by default anymore
allows smaller, specialized, faster indexes
no need to index nodes you do not search for
• In AEM: pre-configured
indexes for AEM itself
• Define custom indexes for your
application’s needs
without an index the repo will be traversed on a
query
oak-core
JCR
MK

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Numbers Performance & Scalability
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TarMK running on my MacBook (i.e. totally unscientific)
• add nodes, session.save() for each node: xxx nodes added / sec
• add nodes, batch save(): xxx nodes added / sec
• add property, catch save(): xxx properties added / sec
• import files from Wikipedia, flat hierarchy:
MongoMK running on our Jenkins server
• 1 Oak instance on MongoMK: nodes added / sec…
• 3 Oak instances on MongoMK: nodes added / sec… (factor yyy)
• 5 Oak instances on MongoMK: nodes added / sec…(factor yyy)

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Performance & Scalability Some Hints
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Observations in a Cluster
• Many Oak instances, high write throughput needed
• Be mindful of observation listeners
• Only listen to local events
• Restrict paths you listen on
Many child nodes
• Many child nodes, high write throughput
• Be mindful of sorted node types
• nt:unstructured is sorted
• oak:unstructured is not

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Efficiency We ♡ Sys Admins
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Operations Dashboard

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Project Efficiency Granite Operations Dashboard
provides control over system health, diagnosis and
maintenance automation, efficiently and extensible.
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Main features:
• System health overview at a glance
• Reducing time to find, analyze and fix issues
• One-Click System Status to help file AEM Support tickets
• Maintenance automation to reduce project operations

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DEMO

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Efficiency We ♡ Sys Admins
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One-Click Setup

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Project Efficiency One-Click Setup instantly fires up
AEM instances in the cloud right
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Main features:
• Ready-made AEM configurations
• Spins up machines in AWS – you maintain full control of the
machines

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DEMO

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Efficiency We ♡ Developers
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Developer Mode

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Project Efficiency Developer Mode
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Main features:
• Inspect component performance right in the page
• Run automated tests
• Inspect component errors right in the context of the page

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DEMO

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Efficiency We ♡ Developers
38
Eclipse Tooling

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DEMO

40. What else is coming up

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Sightly
Beautiful Markup

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Mobile
PhoneGap Enterprise

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one more
thing™

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Sneak Peak
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Granite.JS
aka AEM Micro Engine

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Granite.JS Granite Javascript Platform
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Main features:
• Lightweight, scripting server stack
• REST based content-driven web framework for server-side
JavaScript development
• Runs Sightly
• Based on Node.js

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Granite.JS Architecture
46
jjj
Coral UI / Sightly
Sling
AEM
Granite/AEM - Java
Oak
REST
Microkernel (Java)
OSGi
jjj
Coral UI / Sightly
Sling.JS
Granite.JS – Node.JS
Repository
REST
Microkernel (C)
NPM

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Granite.JS Use Case (I) – Web Developer in AEM
Projects
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UI Dev
codes
Sightly,
CSS, etc
Brackets Grunt Granite.JS
Java Dev
codes
Java,
OSGi services
Eclipse Maven Granite/AEM
gitpush
Maven
AEM Production Pkg

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DEMO

49. Thank for your attention