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Blog: http://blogs.microsoft.co.il/blogs/applisec/

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The idea behind the cloud

Basic Concepts

Type of cloud

Major cloud offerings

Cloud Architecture

Testing using the cloud

Testing the cloud

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• The motivation for the cloud begins and ends with

money.

– Customers today demand more yet they are willing to pay

less.

– Applications must be scalable, available and reliable.

– High quality Costs…

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• Availability

– Multiple service Instances

– Geo replication

• Scalability

– Multiple servers (Scale out)

– Load balancing

• Reliability

– Data Replication

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• Cloud Computing is an Idea …

– Infrastructure is provisioned by a cloud provider.

– Automatic Scale.

– Elasticity. Pay as you use.

– Availability.

– Simple, Automatic, Economic.

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• “Packaging of computing resources, such as

computation, storage and services, as a metered

service”. Wikipedia

• Basic economical idea behind

– Software as a service

– Pay as you go

– Etc.

• Cloud computing

– broader concept than utility computing and relates to the

underlying architecture in which the services are designed.

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• The ability of a system to handle a growing amount of

work in a capable manner.

– Scale Up

• concurrent programming, common methods for utilizing multi-core

architecture in the context of a single application

– Scale out

• distributed programming, distributing jobs across machines over the

network.

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• The ability to shift and pool resources across disparate

infrastructure.

• Enables data needs and resource availability to be kept

in sync.

• Automatic process.

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• Distribution of data and compute resources across data

centers located in different locations.

• Common Policy for:

– Minimizing Risk (Disaster recovery, Connectivity lose etc.)

– Improving access performance for clients located around the

glob

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Type Of Clouds

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• Next Generation virtualization.

• Automatic provisioning of virtual servers.

• Cloud computing within the enterprise

“Agility and efficiency of a public cloud built on

infrastructure located in your organization.”

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• IAAS – Private servers located on a remote data center.

• Pay as you go.

• Simple Migration and management.

– Application design is nor aware of the cloud

• Provision from a template

– Multiple images

– Custom images

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• PAAS - Applications are hosted in the cloud.

– Scope of service: Applications (Not servers)

• Cloud oriented design

• Infrastructures such as storage, networking, security

OS, and compute power are provided by the cloud

provider.

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• SAAS – On demand software.

• Applications are owned by the provider.

• The customer subscribes and runs its business on a

cloud based engine.

• Multi tenancy

• Simple provisioning

• Examples:

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• Independent storage to be used by cloud and

on-premises applications and users.

– Relational database

– NoSql database

– Disk volume

– Distributed Cache

– Blobs

– Queues

– Backup services

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• Independent infrastructural provided to cloud and

on-premises applications as a service.

– Identity

– Caching

– Connectivity (service bus, virtual networks …)

– Messaging (Queuing, Push notification …)

– Integration

– Management

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Google Data store Google Cloud SQL

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• CloudShare

• VmWare

• BlueLock

• Citrix

• Joyent

• Verizon

• Salesforce.com

And list is long…

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• SoftLayer

• Connectria

• Layered Tech

• Qube

• Layered Tech

• GMO Cloud

• PeakColo

• TekLinks

• US Signal

• ElasticHosts

• CloudSigma

• Dimension Data

• ElasticHosts

• TekLinks2

• GoGrid

• Cartika

• Dimension Data

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• Reasons to a build a cloud application

– Availability

– Reliability

– Automatic scale and elasticity

• Conclusion:

Cloud application is a multi instance application

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• Cloud friendly applications are designed to be stateless.

• State : Temporary data belonging to a multiple steps

transaction.

• State is persisted outside the boundary of a running

process in an independent store.

• Caching is used to reduce the price of data access.

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• Leverage multiple compute instances and distribute

computation between multiple machines.

– Asynchronous messaging

– Job scheduling

– Job tracking and management

– Design for independent jobs

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• Cloud providers supplies SDKs for multiple platforms

(.Net, python, java, etc.)

• Cloud providers supplies a REST management API that

applications can use

• Developers can use cloud emulators

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• Stateless applications and independent storage

introduce latency

• Communication with a remote database introduce

latency

• There is no guarantee how much time it takes to reach

the data center

• Throughput can grow as required with the number of

allocated resources

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• Test traditional applications using test platform located

in the cloud

• Test a cloud application

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• Using IAAS you can provision testing environments.

– Large compute clusters

– Large storage

– Identity Store

– Virtual network and service bus

• Simple Replication

• Testing On Demand

– Pay only for running tests.

– Provision the environment before running the test and then

take it down.

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• Price $$$

• Time to Market – Quicker tetsing

• Simple Replication

• Better communication between developer and Tester

– Both have access to the same cloud

• Better availability of testing tools and environments

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• Someone already provisioned an environment for you…

• Use it as SAAS.

• Usually used for performance and load tests.

– Simulate load patterns (e.g. spikes)

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Cloud

Provider Testing services

Soasta Cloud-based service for performance, scalability, and reliability testing of Web applications and sites that can

test both internal and production environments with live monitoring

STaaS On-demand, cloud-based service that lets customers access test tools and environments from anywhere (see

this link)

Zephyr Scalable platform that manages all aspects of the testing life cycle, integrates various test tools and systems,

and provides global access, collaboration, management visibility, and real-time updates (see this link)

Sauce Labs Selenium-based testing service that tests Web applications across multiple browsers, supports the

automation of browser tasks, and lets many tests run at the same time (see this link)

Skytap Scalable cloud-based solution that provides visibility and control over cloud-based applications and can be

used to develop, test, migrate, and evaluate applications, as well as create hybrid clouds (see this link)

uTest Service that provides functional, security, load, localization, and usability testing from a crowdsourced pool of

professional testers for “Web, desktop, and mobile applications.” (see this link)

IBM

Service that provides on-demand, secure, dynamic, and scalable virtual test server resources in a private test

environment with an easy-to-use platform, service request management, automation, and configuration

management (see this link)

PushToTest Service with continuous integration platform that combines grid technology and cloud computing to run tests

across single or multiple cloud-based test environments (see this link)

CloudTestGo Cloud-based performance testing solution with quick, cost-efficient, real-world environments that perform

load testing on Web-based, e-business, and vertical business applications (see this link)

BlazeMeter Cloud-based platform for load and performance testing as well as cloud monitoring that can create load-

testing scripts, perform real-time monitoring, and launch new servers (see this link)

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• Stateless Testing

• Availability Testing

• Security Testing

• Performance Testing

• Interoperability Testing

• Disaster Recovery Testing

• Multi Tenancy Testing

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• Pros

– Simple migration from staging to production

– Less integration with IT guys

• Cons

– There are more things to test…

– Testing might be challenging as you do not have full control

over the cloud.

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• Emulators try to simulate cloud, yet there is no 100%

match.

• Developers should be involved in early integration tests

that test their code in real-life cloud environment.

• Only then a comprehensive cloud based test plan can

run.

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