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RED HAT CONFIDENTIAL | ADD NAME1
RED HAT JBOSS ENTERPRISEAPPLICATION PLATFORM 6
John OsborneMiddleware Solutions [email protected]
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Agenda● Red Hat® JBoss® Enterprise Application
Platform 6● JBoss Data Grid
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JBoss Enterprise Application Platform Components
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● JBoss EAP 6 Container
• JEE 6 Container
• Flexible Modular classloading
• Small Footprint
• Repository based dir structure● JBoss Developer Studio
• Eclipse based IDE
● Web Framework Kit (WFK)
• Tiered support for common OSS frameworks
● Apache HTTPD
• mod_cluster: intelligent load balancing with discovery● JBoss Operations Network (JON)
• Plugin based Central Management & Monitoring Server
Apache HTTPDmod_cluster
JBDSJBoss EAP
JON
JBoss EAP 6 Components
WFK
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What is a cloud-ready architecture?
● High degree of automation● Flexible management● Frugal use of resources● Lean, agile development● Open platform
PHYSICAL VIRTUAL PRIVATE PUBLIC
RED HAT JBOSS MIDDLEWARE
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JBoss EAP 6 architecture
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Develop Differently
Run your app server in test cases
Fewer mocks!
Simulate multiple configurations (staging, prod, etc)
Exploit the cloud
Use Multiple JVMs
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JBoss Enterprise Application Platform Management
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JBoss EAP 6: Management tools
Tools● CLI
● Web Console
● Red Hat JBoss Operations Network
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• Central Management and Monitoring for all JBoss platforms
• Multiple Products / Versions
• Configuration Management / Drift Detection
• Responsive Provisioning / Deployment
• Performance and Availability Management
• Custom Dashboards
JBoss Operations Network Overview
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JBoss Operations NetworkArchitecture Overview
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● World-class developer productivity with JBoss Enterprise Application Platform
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Making it easy to get started
● Webinar series● 50+ quickstarts
● Supporting videos for many
● In-depth tutorials● Technical articles● Growing set of
technical blogs● Migration guides
Focus on enabling developers to easily adopt technologies with JBoss EAP 6
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Get started quickly with Red Hat JBoss Developer Studio 7
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Open Choice and Web Framework Kit 2.4
RichFaces SnowDrop Hibernate Search
Struts Spring Spring WebFlow Modernizr
GWT JQuery JQuery Mobile Apache Cordova
Bootstrap Flex and more...
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Intro to JBoss Data Grid
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Traditional data and knowledge
● In people, on paper, and in data warehouses
● In relational tables, rows, and columns
Modern data and knowledge
● On websites, mobile devices, and in the cloud
● Global, at home, at work, and distributed
● In non-traditional and non-relational forms
● Video, images, phrases, and tags
● Tweets, timelines, conversations, comments, and “likes”
Business today
Varied, real-time, complex in nature...
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The challenge
How do you design your application for:
● Performance during unprecedented transaction volumes?
● Availability to meet high uptime requirements?
● Flexibility in open hybrid cloud environments?
● Reliability to provide accurate, real-time information?
● Independence from the complex, rigid data-tier?
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Modern challenges, traditional solutions?
Design for more...● Pile on complex code, servers,
databases, DBAs
● Cost-prohibitive
● Quick fix until you need to scale again
Start from scratch...
● Completely re-architect
● Sharding? Denormalization?
● Complicated
● Time- and resource-intensive
● Risky
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What is a data grid?
● An in-memory distributed database designed for fast access to large volumes of data and scalability
● Commonly a complementary layer to the relational database and the application.
Key data grid characteristics:
● In-memory, distributed caching
● Elastic scalability
● Advanced querying
● Data replication
● Processing for streaming data
● Transaction capabilities
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“Although the in-memory data grid (IMDG) market, a key IMC segment,is small, it is likely to grow fast and to
reach $1 billion by 2016.”
SOURCE: Gartner, Gartner Says In-Memory Computing Is Racing Towards Mainstream Adoption, http://www.gartner.com/newsroom/id/2405315
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Fast access to data
● In-memory speeds, high availability, reliability, elasticity
● Built on proven, popular open source Infinispan technology
Flexibility beyond Java
● Compatible with Java and non-Java platforms
Premium and advanced features in a cost-effective subscription
● Includes Red Hat JBoss Operations Network Management for management tooling
● Includes remote clients
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JBoss Data Grid Configuration Options
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Configuration - Local cacheAlleviate load on the traditional database and boost application performance
A more sophisticated data structure...
● Memory management
● Persistence
● Eviction, expiration
● Eliminate memory overflow errors
● Warm-start, preload
● Transaction capable (JTA)
● Rich monitoring and administration (via JBoss Operations Network)
● Events and notifications
● Plugs into many frameworks to boost performance
Ideal for:
Single processes
Data unique to a process
Unshared data
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Configuration – Remote CacheSeparate the lifecycle and maintenance of theapplication from its cache/data.
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Configuration - Replicated cacheUltimate failover protection
● Instant reads, linear performance scalability
● Network overhead scales linearly
● Limited to a single JVM heap size
● Replicate the same key/value, updates across the cluster
Ideal for:
Small, fixed datasets
Scenarios requiring extremely high fault tolerance
Real-time read access by multiple applications
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Configuration – Data gridGlobal, distributed processing and scale
● Distributed, horizontally scalable, unlimited storage
● Move processing to data with map/reduce
● Low-latency, fast performance
● Eliminate single point of failure
● Multiple access protocols
● Compatible with applications written in any language, any framework
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Cross datacenterreplicationKey functionality
● Achieve failover with active-passive or active-active
● Synchronous and asychronous replication
● High availability to meet SLA requirements for data within and across datacenters
● Geographic data partitioning with failover
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Red Hat JBoss Data GridBuilt on today’s and tomorrow’s standards
JSR-107: Temporary caching API
● Targeted for EE8
JSR-347: Data grids
● Development led by Red Hat
JSR-346: CDI1.1
● Programming model for data grids
JSR-317: JPA2
● Data grids for caching API for database via JPA2
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Client and serverMultiple access protocols
Protocol Format Client type Smart? Load balance and failover
REST text any no external
Memcached text any no pre-defined
Hot Rod binary Java, C++ yes auto/dynamic
Hot Rod: Infinispan's native TCP client/server protocol
● Hashing and topology aware
● Failover during topology changes
● Smart request routing in partitioned or distributed server clusters
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Data compatibility modeKey functionality
● Access data regardless of how it was stored
Library mode and client/server mode interoperability
● Data written by a Library mode application can be read over a remote client (and vice versa)
Protocol interoperability
● Data written via one protocol can be read via another protocol
● Example: Write data via the REST protocol and read data via Hot Rod protocol
Cross-language interoperability
● Data written via the C++ Hot Rod protocol can be read by an application via the Java Hot Rod protocol (and vice versa)
Access via Hot Rod
Access via memcached
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Cache ManagementExpiration - Keep your data fresh
● Removes entries...● Based on time they have been in memory (lifespan
value or maximum idle time value)● Globally (memory, cache stores, cluster...)
● Specified on a per-entry or per-cache basis
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Cache ManagementEviction – Avoid running out of memory
● Remove entries based on how recently (and often) they are used, and only when too many entries are present
● Remove entries from memory and remain in cluster and persists to cache stores (if a cache store exists)
● On a per node basis
● Strategies● Least Recently Used (LRU) - default● Unordered eviction strategy – recommended for testing
purposes● Low Inter-reference Recency (LIRS)
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Options for Persistence
● Cache store
● High performance file● SimpleFileCacheStore
● LevelDB (JNI)● Database (JDBC)
● Read-through
● If data is not in cache, then read from cache store
● Write-through
● Write to cache store sychronously
● Write-behind
● Write to cache store asychronously
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Management and administrationRed Hat JBoss Operations Network
● Centralized control for management and administration of all Red Hat JBoss Middleware
● Efficiently monitor JBoss Data Grid performance and availability ● Clearly exposes node state and statistical information needed to manage tens to
hundreds of JBoss Data Grid nodes● Displays information in clear and concise manner
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Questions?
