PaaSing a Java EE 6 Application - Kshitiz Saxena

8/3/2019 PaaSing a Java EE 6 Application - Kshitiz Saxena

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PaaSing a JavaEE 6 Applicat

Kshitiz


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The following is intended to outline our general product dir

is intended for information purposes only, and may not beincorporated into any contract. It is not a commitment to dematerial, code, or functionality, and should not be relied upmaking purchasing decisions. The development, release, atiming of any features or functionality described for Oracle

products remains at the sole discretion of Oracle.


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Program Agenda

Cloud Computing

PaaS and Java EE PaaS implications on application deployment

Design Model

IMS

Service Orchestration

Auto-Scaling

Resources


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Cloud Computing

Illusion of infinite computing resources availabl

demand

Elimination of an up-front commitment by cloud

Ability to pay for use of computing resources oterm basis

Whats new?

(+) Above the Clouds, Armbrust et al, UC B


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Cloud Computing

On-demand Self-Service

Broad network access

Resource Pooling

Rapid Elasticity

Measured Service

Essential Characteristics

(*) NIST Definition of Cloud Computing 8


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Cloud Computing

Private Cloud Operated solely for an organization

On-premise or off-premise

Community Cloud

Public Cloud Access to general public

Hybrid Cloud 2 or more clouds, Cloud Bursting

Deployment Models

(*) NIST Definition of Cloud Computing


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Cloud Computing

Software as a Service (SaaS)

Platform as a Service (PaaS) Deploy customer-created applications

Using languages and tools supported by PaaS Provid

No control of underlying cloud infrastructure

Control over deployed applications, hosting env. Conf

Infrastructure as a Service (IaaS)

Service Models

(*) NIST Definition of Cloud Computing 8


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Program Agenda

Cloud Computing


Design Model

IMS


Auto-Scaling

Resources


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PaaS and Java EE

Common programming model for enterprise de

Runtime handles applications infrastructure co

Declarative resource references

Scalable (scale-out) component models

Java EE design principles and capabilities


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PaaS and Java EE

Enhancements New Roles for PaaS

Services as first class citizens

Multitenancy

Evolution, not a revolution!

Java EE 7: Making Java EE ready for the cloud


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New PaaS Roles in Java EE 7

PaaS Product Vendor

PaaS Provider

PaaS Account Manager

PaaS Customer

Application Submitter Application Administrator

End-User


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Java EE 7 Roles in a PaaS scenario


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Program Agenda

Cloud Computing


Design Model

IMS


Auto-Scaling

Resources


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PaaS Implications on Deployment Simplified PaaS Application Deployment

Single-click, self-service, push to cloud


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PaaS Implications on Deployment

Automatic Service Provisioning and Manageme


Automatic Service Dependency discovery

Service Provisioning and Association

Handle operational infrastructure concerns automatic

Network configuration, HA, Clustering, Load Balancing

Application and Service deployment versioning

Services Management


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Scalable virtualized on-demand environment

Support multiple cloud deployment models

Public, Private, Hybrid

PaaS Provider decoupled from IaaS infrastructure

Multi-tenancy

Virtualized runtimes


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Automatic Scaling of Services

Scale to applications needs

User-defined alerts and actions

Control over application hosting environment Flexibility in choice of application services, framework

Rich service configuration Shared services

Extensible runtime to allow new Services

Scaling and Operations


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A sample application stack


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Traditional Java EE Application Deploy


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Java EE PaaS Application Deployment


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Program Agenda

Cloud Computing


Design Model

IMS


Auto-Scaling

Resources


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Terminology

Service

ServiceType Java EE, RDBMS, HTTP Load Balancer etc.

Services scope and lifecycle Provisioned Services

Application scoped

Shared

External (a priori) services


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Specification of Service Metadata

Optional!

When not specified (vanilla EE app archives) Orchestration Engine automatically handles discovery of s

Automatic wiring to default Service Templates

Metadata may be specified when:

Finer grain control of application environment desired

Application-specific Service configuration


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Design Model

S ifi i f S i M d


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Specification of Service Metadata

Service Definition

Metadata used to provision and configure a Service What :Service characteristics (functional and non-functio

Template matching

How :Explicit Template specification Template wiring

Service Reference An application components dependency on a Service

Explicit : User-specified through deployment descriptors

Implicit and Discovered: Information contained within th

S i D d S ifi ti


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Service Dependency Specification

S l S i D fi iti


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Sample Service Definition

S l S i R f


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Sample Service Reference

GlassFish PaaS R ntime Architect re


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GlassFish PaaS Runtime Architecture

Service Orchestration Flow


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Service Orchestration Flow


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Demo

PaaSing a Java EE Application in the Cloud

Conference Planning in the Cloud


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Conference Planning in the Cloud

. . .


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Program Agenda


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Program Agenda

Cloud Computing


Design Model

IMS


Auto-Scaling

Resources



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IMS


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IMS

Provide common management interface acros

virtualization technologies

One-liner

IMS


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IMS

IMS functionalities


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IMS functionalities

Support virtualization definitions

Isolates from low level Virtual Machine allocation/

Integrates with native solutions through Plug-in/SPI mech

Template management

ServerPool / Hardware management (depending ovirtualization technology).

Templates


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Templates

A virtual-machine disk can be duplicated

used to instantiate a virtual-machine.

Virtualization Specific

Provides 1 to many service types (usually one).

Template are customized during the first startup DAS location

Template parameters like instance name

Customization mechanism is virtualization specific

Program Agenda


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Program Agenda

Cloud Computing


Design Model

IMS


Auto-Scaling

Resources



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Enable single-click deployment of a PaaS app

through automatic service dependency discoveservice provisioning and service association

One-liner

Service Dependency Discovery


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Service Dependency Discovery

Service Provisioning


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Se ce o s o g

Service Association


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Program Agenda


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g g

Cloud Computing


Design Model

IMS


Auto-Scaling

Resources



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Auto-Scaling


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g

The ability of a system to automatically adapt to

traffic without impacting throughput and availab

One-liner

What we need


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To determine the health of Services in the Syst Number of metrics can be used

An arbitrary / complex condition need to be evaluated Arbitrary actions can be taken

A framework that allows

Ability to define new Metric sources easily (Extensible Ability to express complex queries easily

Ability to create new Actions easily`

Determining State of Services


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Monitor System Resources CPU

Used and idle CPU times

Memory

Process memory: Allocated, Resident etc.

JVM memory: Used, Committed and Max memory

Disk Reads, Writes per seconds

Bytes read, written etc.

Determining State of Services (Contd.)


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Monitor Application Related Objects

HTTP Sessions created / destroyed per second

Number of HTTP requests that arrived Connection Pools: Number of connections acquired / rele

Database Queries executed

Transaction status: Number of commits / rollbacks

Response time of a specific URL

Many, many, many other metrics

We have metrics. Now what?


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Use relevant metrics to determine health of the Such as Java EE Clustered Instances, Clustered DB

Use Trends Average memory usage above 60% for last 10 min

Avg Response times of 90% of requests in last 10 min

Use Combinations

Are both CPU and Memory usages high ? Is CPU usage of Java EE Cluster and number of que

on Database within certain limits ?

What Actions can you take?


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Possible Actions Send email to admin

Log some info Scale up / Scale down to meet the load

Send a (JMX) notification

And many, many, many more

Program Agenda


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Cloud Computing

PaaS and Java EE

PaaS implications on application deployment

Design Model


Auto-Scaling IMS

Resources

Resources


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GlassFish 4.0 http://download.java.net/glassfish/4.0/pro

Spec http://bit.ly/sAZtEL Java EE 7 keynote demo http://bit.ly/q9T7Z2

Java EE 7 http://jcp.org//en/jsr/detail?id=342

PaaS Model http://bit.ly/o3XZIP

Above the Clouds: A Berkeley View of Cloud Computing

http://bit.ly/15MEL0

The NIST Definition of Cloud Computing -- Special Publ145 http://1.usa.gov/ohXnlM

For more information
http://download.java.net/glassfish/4.0/promoted/http://bit.ly/sAZtELhttp://bit.ly/q9T7Z2http://jcp.org/en/jsr/detail?id=342http://bit.ly/o3XZIPhttp://bit.ly/15MEL0http://1.usa.gov/ohXnlMhttp://1.usa.gov/ohXnlMhttp://1.usa.gov/ohXnlMhttp://bit.ly/15MEL0http://bit.ly/o3XZIPhttp://jcp.org/en/jsr/detail?id=342http://bit.ly/q9T7Z2http://bit.ly/sAZtELhttp://download.java.net/glassfish/4.0/promoted/


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Q&A



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Conference Session - 25360

Kshitiz

Documents

PaaSing a Java EE 6 Application - Kshitiz Saxena