GigaSpaces Scalability Live Demo

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In this Demo

• Experience automatic scaling based on request throughput

• See how the application fails over and auto-recovers after failure

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How to Experience Automatic Scaling

• Deploy the demo on the cloud

• Study the demo architecture

• Web auto-scaling (requests/sec threshold)

• Automatic failover and auto-recovery

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STEP 1 –

DEPLOY THE DEMO ON THE CLOUD

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How to Experience Automatic Scaling?

• Click Deploy

• Click Refresh Status

• Wait until application status = Deployed

Expected waiting time: ~7 min

In the meantime let’s study the stock demo architecture…

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STEP 2 –

STOCK DEMO ARCHITECTURE

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Architecture – Processor Space

• Stock feeder simulates stock price changes

• Processor analyzes data as it arrives (price change delta)

Processor(Code + Data)

Write Data

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Stock data exposed to web browser with AJAX

Architecture – Embedded Web Server

Web Load-Balancer

http//: http//:

Read Data (SQL Query),Get Statistics (Admin API)

Write Data Processor(Code + Data)

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Stock Application Home Page

Stock data exposed via REST

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Stock Application Home Page

• Map/Reduce query via REST

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Application Home Page – Statistics

Space (data) statistics

JVM statistics

Web statistics

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STEP 3 –

WEB AUTO-SCALING

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How to Experience Automatic Scaling

1. Wait until application status =

2. Click View Stocks

3. Note the Web Requests/Second gauge

Deployed

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Web Container Auto-Scaling

Load Balancer monitors web availability

Web

Web

Load-Balancer

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Web

Web

Web

Load-Balancer

Web Container Auto-Scaling

A new machine is started when the requests-per-second threshold is breached

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Increase Load – Auto-scale-out

Click View Stocks twice

A total of 3 “View Stocks” pages are open.

Note that the gauge is above threshold.

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Increase Load – Auto-scale-out

Wait for a machine to start automatically.

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Increase Load – Auto-scale-out

When the machine starts, the number of web Processing Units (PUs) increases from 2 to 3

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Decrease Load – Auto-scale-in

Close 2 “View Stocks” pages

(leave only 1 open)

Note the gauge is below threshold

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Decrease Load – Auto-scale-in

Wait until a Web_Container machine is

automatically terminated (scaling in back to 2 machines).

This might take a few minutes

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Step 3 – Recap

Increase load by starting additional web pages Web server scales out

Decrease load by closing the additional pages Web server scales in

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STEP 4 –

AUTOMATIC FAILOVER AND

AUTO-RECOVERY

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Automatic Failover of Data Grid

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Stock updates are replicated to backup

Partition 1Active

Partition 2Backup

Partition 2Active

Partition 1Backup

Write Data

Replication

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Automatic Failover of Data Grid

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When a machine fails, backup becomes primary

Partition 1Active

Partition 2Active

Partition 1Backup

Partition 2Active

Write Data

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Automatic Recovery of Data Grid

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A new machine is started, backups are deployed

Partition 2Backup

Partition 1Backup

Partition 1Active

Partition 2Active

Write Data

Replication

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Number of active instances is re-balanced

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ReplicationPartition 1

Active

Partition 2Backup

Partition 2Active

Partition 1Backup

Write Data

Automatic Recovery of Data Grid

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Start the Monitoring Web Dashboard

1. Click Monitor to start the web dashboard

(works best with Firefox / Chrome)

2. Click Login (anonymous login)

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The Processor Space (Web Dashboard)

Expand ProcessorPU

tree node.

Note each partition

Has a primary (green)

and a backup (blue)

instance.

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Shut Down Machine

Switch back to the main screen,

and click the Shutdown button of one

Web_Container machine:

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Failover (Web Dashboard)

Switch back to the Web Dashboard.

Note how Backup (blue) becomes Active (green)

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Experience Machine Failover

Wait until a new

machine is started

and the Processor

space rebalances.

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Step 4 – Recap

Machine failure New machine starts automaticallyA backup space instance takes over

Machine started

New backup space started

Rebalancing of active instances.

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What This Demo Illustrated

Automatic scaling of the web application based on load

Automatic recovery from machine failures