The Challenges of Testing in a Cloud Computing Environment

The Challenges of Testing in a Cloud Computing Environment

Cloud Services, as the experts say, are here to take enterprises from the Industrial era to the era of Information Accessibility.

What could be the most apparent instances of operating in a Cloud-based environment?

  • Updating your Mobile Applications on the go
  • Mailing / accessing some work documents outside your office premises
  • Updating your Facebook & WhatsApp status while commuting
  • Accessing your bank accounts and making transactions while you travel

These and many more benefits are today enabling small, medium, and large enterprises to solve small as well as big challenges to reach their highest potential.

Additionally, there are some evident reasons why big and small enterprises across the world are moving to the Cloud. Namely, higher efficiency, flexibility, disaster management / recovery, easy updates/upgrades, better collaboration, anywhere/anytime access, competitive edge; additionally, it also encourages to make the work environment more eco-friendly.

Sig Nag, research director at Gartner aptly states, “The market for public cloud services is continuing to demonstrate high rates of growth across all markets and Gartner expects this to continue through 2017”. With the trending growth of start-ups globally, there is a rising need to cut down infrastructure costs, faster time-to-market, and achieve higher ROI. These are amongst the most prominent reasons for the increasing popularity of Cloud services globally.

According to a recent Gartner report, Worldwide Public Cloud Services Market is estimated to reach $204 Billion in 2016. The highest growth will come from cloud system infrastructure services, which is projected to grow by 38.4 percent in 2016.

There is rising trend amongst enterprises today to adopt a digital business strategy, as the focus is shifting from redundant IT systems to a cloud-based environment.

Market reports estimate that as many as 90% of the organizations in UK are implementing Cloud-based services to meet their specific business objectives.

At the same time, the Cloud Computing environment poses a set of challenges, which organizations have to deal with. While this article intends to deliberate on the testing challenges in the Cloud Computing environment, it is imperative to get a quick grab on the challenges that the Cloud poses.

Mentioned below are some highlights:

  • Security Aspects: While the Cloud environment offers you a ready back-up and a robust disaster recovery plan, there has been a persistent concern over the security aspects of hosting your data on the Cloud. It ranks amongst the most prominent concerns mentioned by users, as an essential chunk of services are outsourced. This results in risks like data integrity and availability of services.
  • ROI Estimation: In spite of the fact that Cloud ensures higher ROI, there is a concern amongst business folks about the commercial viability or business outcome of Cloud adoption. Nevertheless, this aspect can be addressed by mapping the same with the organization’s objectives of adopting Cloud services.
  • Quality of Service: Considering specific services on the Cloud are outsourced to third parties, businesses are sceptical about moving business critical application to the Cloud. There are concerns pertaining to factors like availability, accessibility, performance, and scalability.
  • Performance Related Issues: There is a concern regarding the network bandwidth offered by Cloud services. This may negatively impact execution and delivery of complex application, as Cloud applications still continue to be bandwidth intensive.
  • Integration Related Concerns: Some applications in production need to integrate / connect with other Cloud applications, which could be on-premise. For instance, applications that are currently operating with existing data structures. There is uncertainty amongst businesses regarding the interoperability of these applications hosted on the Cloud.

While robust testing frameworks and strategies help enterprises get the most of their investment in the Cloud, there are a set of challenges related to testing on the Cloud. The foremost factor to focus on while testing is to ensure that the specific functional requirements are addressed. Let’s take a quick view of the 2 fundamental aspects of testing in the Cloud environment.

  • Functional Testing: With this you can evaluate and ensure that you are getting value for your buck. It further confirms that the business requirements are met. Functional tests such as System Verification testing, Acceptance testing, and Interoperability testing ensure that the business requirements are being met.
  • Non-Functional Testing: The Non-functional testing approach focuses on web application based tests that help ensure that all the expected outcomes are met. Some key areas of non-functional testing are: Accessibility, Performance, Security, Recovery, and Scalability tests.

Challenges of working in the Cloud environment intersect with the challenges of testing applications on the Cloud. The reason being, it entails testing applications across various modules and environments to identify issues.

The recommended way out is to utilize test services that operate on the Cloud, which provide the required environment for testing.

Depending on the Cloud for performance and all the possible boons is a choice that enterprises are making consciously. Drilling down, let’s focus on comprehending the testing challenges in order to address them effectively.

  • Developing the environment: There is a need for specific configurations for testing purposes, for instance, related to servers, storage, or network. This leads to issues during testing, as it is a challenge to emulate the specific customer scenario / environment in the Cloud environment.
  • Interaction between components: Another challenge that is commonly faced is during integration testing, where the tests are conducted on the network, database, servers, and various devices. When the applications are hosted on the Cloud, testers have inadequate control on the environment. This further amplifies when there is an interaction between all the components, where there could be risks pertaining to crash, breakdown of the network or crashing of the servers.
  • Replicating the user environment: The business applications to be tested are installed in an environment that is not under the control of the tester. The tester is expected to test the applications in a scenario where the user would operate. This poses a challenge for the testers to create a similar environment for testing purposes.
  • Testing on the Internet: There are a lot of security concerns while testing on the internet. The tester has to ensure that there is no leakage of data that is available over the Internet while the testing is in process. It is important to have a back-up plan and test before the business applications are released for the users.
  • Testing across the spectrum: Cloud Testing entails testing the network, performance of the server, the available database, and the application. Keeping these requirements in perspective, the testers need to validate the interaction across various components and layers. At the same time risks have to be anticipated, for instance, loss of connection, crash of the software, etc. Moreover, the tester needs to anticipate and test beyond the aspects under control in the existing environment.

So we infer…

It is imperative to comprehend and address these challenges with a clear perspective to ensure that the various business applications are operating effectively and securely on the Cloud. Moreover, it is important to confirm that the entire process helps gain competitive edge in the marketplace. Irrespective of the existing challenges, Cloud Computing will sustain and empower organizations to stay ahead and continue to remain competent.

The opinions expressed in this blog are author's and don't necessarily represent Gallop's positions, strategies or opinions.

Creating a Cloud Load Testing Strategy for your Enterprise

Cloud Load Testing Strategy

Cloud Load Testing continues to be an increasingly discussed and important topic. Nearly everywhere I go, questions arise as to: what, why, how, and when these capabilities are important. Perhaps you are looking for a quick read to understand how to start defining a Cloud Load Testing strategy for your enterprise. That is what I am setting out to do in this blog and provide to you.

1. What are you delivering to your end users?

As an end user, I always wonder, why is it that organizations want me to find their defects? Not sure if you have had this same experience, but surely you have, and I am sure your experience is equally as frustrating…if not more.

So as an organization, we need to think about ‘What are we delivering to our end users?’ because if we don’t, we can be sure our competitors are. Most successful organizations with longevity have a ‘best intent’ to deliver valuable products / services to their end users at a fair price.

Thinking of and recognizing the results they are delivering against this ‘best intent’ is often not done. This limits the continuous assessment and feedback of the market and performance of their products / services in the hands of their end users.

So, what are you delivering, how do you get feedback, and how are you continuously improving your end users experience? The reasons I ask this question is simple; what if you had a way to capture these results from production, then replay them across your pre-production environments, getting results you could use to optimize your applications for maximum value to your end users? Now won’t that be really good for the business!

2. Why do you spend cycles proactively ensuring it works?

Consider your position in the market, what the customers are saying, and how your competitors are constantly improving. Do you even stand a chance if your strategy is status quo? I think not, and now is the time to figure out how to pivot and proactively make a difference…or else your book will end at Chapter 11.

With the Olympics and Holiday Shopping as two large upcoming events, many organizations see these as make or break, and are seeing this as a reason to spend cycles proactively ensuring their systems are working. Of course, with these events (and others like them) volumes are going to be extraordinarily high; which if your business can hold up to the increased demand, there is much to be gained in a number of ways. Do you measure any of these ways today?

Perhaps you have ways to correlate flows, transactions speeds, downtime, user sentiment, employee satisfaction and the like; to that of revenue, brand value, competitive advantage, customer (acquisition and retention), employee satisfaction, and user sentiment. In today’s organizations, this is typically not the case, and an area lacking which can result in exponential returns.

Of course, perhaps you are thinking “Yeah right Todd, easier said than done.” Would not be the first time I have heard that by the way. My suggestion, let’s start with one flow; perhaps measuring the correlation between ‘transaction response time’ of a specific page on your site or app, and that of ‘revenue’ related to that system. I believe when you start to look at the trend, and find quick ways to improve that ‘transaction response time’, you will be shocked to see the change in ‘revenue’…even if only 1%, what does that mean annualized for the organization and you? [that answer is often measured in millions]

3. How are you maximizing value, efficiency, cost, and time?

Everyone opens bananas differently. And, is there really a right or wrong way? The objective is to get to the edible fruit and nurture your body with vitamins and other goodness. Whether you start with the stem or the bananus, the shared goal is the same; there is an easier and better way, how are you doing it?

In this metaphorical reference to proactively working to maximize value, efficiency, cost and time is a very strong relationship. Again, most if not all organizations with paying customers are thinking about these factors, and working proactively to bring the best end user experience.

Along this path, whether primate or human; we are learning by doing, and observing the results, then repeating. Organizations and individuals are evaluated on how well they maximize the value of investments, along with efficiencies being built-in to lightweight processes, reducing the costs to an appropriate level, then spending only the amount of time needed to maximize the overall equation.

In a recent poll, 58% of individuals opened the banana by the bananus. This is the same behavior observed by primates. Not saying there is a right or wrong, just a majority. Where do you count yourself, and why? Is it because of how you are doing something…which could be done better another way?

4. When do you focus on these capabilities? 

“Always, at the beginning and throughout”…that’s what I wish I heard. Sadly, when the topic of working proactively to ensure a good performing experience for your end users arises, it is often something raised after a massive production incident of some sort.

Another common topic that is risen has to do with ‘highly skilled resources’ and/or ‘scheduling to have a scenario run’ as excuses as to why this has been deprioritized and not done. Seems this is another huge limiting factor to when people can run these types of tests and get the results they need, so as to improve the end user experience proactively and earlier.

I don’t know what your personal experience has been…but, when “it’s hit the fan” most CIO’s and Business Leaders are NOT saying ”Glad we did not waste time and effort thinking about performance for our end users.” It is often “How will you prevent this from happening again!” When this happens, it is a great opportunity to have a prepared response, so you can appropriately address the immediate concern, and the future for the organization and your end users.

In short, this consideration is something that should be built-in from the beginning with accountability and responsibility across the technology and business teams to the end users. Making this a reality is a bit of a cultural adaption, but having visibility on the impact this has on your organization, enables you to leverage this tipping point for the moment for the beginning of a transformation.

In the four (4) above points we can see why the capabilities of Cloud Load Testing would be important to ensure that the end user experience is optimum. There are a number of reasons why organizations find Cloud Load Testing as an easy adoption and high value. I have outlined five (5) of these below.

  1. Burst: Leveraging Cloud Load Testing as a way to supplement your existing load and/or performance testing capabilities. For example, perhaps you typically run a 1000 virtual user test, but for an upcoming event, you want to ensure you can handle and tune for a 5000 virtual users’ scenario. Rather than purchasing an additional 4000 virtual users, simply leverage Cloud Load Testing to drive additional traffic to your application under test only for the required period.
  2. No Infrastructure to maintain: By using the capabilities of Cloud Load Testing, you are leveraging ‘The Cloud’ to host your load generators and engines, so maintaining a separate infrastructure for this capability is no longer required. Build and maintenance of these core infrastructure components is the responsibility of the vendor you are using, as they are responsible to deliver this as a service to you. In some examples this is a significant savings of capital and operational expense.
  3. Integrations: As this capability has been further adopted broadly over the years, so has the demand across the varied stakeholders. Resulting from this has been the flurry of integrations, which now makes it very simple to schedule, execute and report on Cloud Load Testing results. This is because now it can be triggered from any number of locations including: IDE’s, Build Systems, Quality Reporting Systems, Load and Performance Tools, and more.
  4. Run concurrently with existing load test: Scheduling and shared resource models have increased the complexity and reduced the availability of load and performance testing resources (people and tools) in the past. Now with Cloud Load Testing, this capability is available exponentially, and can be triggered by anyone provided with access to do so. This capability along with Lifecycle Virtualization has enabled teams and organizations to introduce continuous testing scenarios with an extremely reduced costs model.
  5. Adding on supplemental testing types: When driving fast and adding value, often others will turn to you for considerations on how to help solve for other challenges. One of these I have often run into is, “If you can do this with performance, can you also add: Functional, security, usability, etc.?” Well, the answer is yes. And, quite frankly, I wish more people would think this way. It makes you ask some hard questions about what your production environment is like, and how your end users will experience life with your capabilities. Just imagine, what it would mean for your organization and business if you could add performance, functional, security and usability as all capabilities under a single test with a single result which runs continuously. The time is now!

*Other resources:
Blog: How Cloud Load Testing helps you deliver amazing software
Trial: StormRunner Load (trial)
eBook: 2015-16 State of Performance Engineering
Book: Effective Performance Engineering Book

gallop-software testerAbout the Author:Todd DeCapua is the Chief Technology Evangelist with Hewlett Packard Enterprise and cofounder of thought leadership site for IT Heros.

DeCapua is a seasoned software professional with 20+ years of experience in IT applications development, IT operations, technology integrations, channels operations, and business development in several domains, including Mobile, Agile, Cloud, and Performance.

Over the years Todd has transformed three organizations to Agile/DevOps, consulted with 100+ organizations worldwide, and amassed a variety of perspectives and practical experiences. He has earned an MBA in Finance and a BS; has been recognized with several industry certifications and awards; and is an industry-renowned leader, speaker, and author.

The opinions expressed in this blog are author's and don't necessarily represent Gallop's positions, strategies or opinions.

SaaS Testing: Challenges and How to overcome them

SaaS Testing: Challenges and How to overcome them

SaaS or Software as a service is gaining a lot of momentum and wider adoption by organizations as they are realizing the real benefits by using SaaS over On-premise installed applications. In SaaS model, the organization need not pay for the software or hardware itself, it’s more of a rental scheme where they pay as they use. This is what makes SaaS attractive compared to the On-premise option.

It’s a tough decision for the organizations to choose SaaS, as there are lot of factors like complexity of system, application stack, and operational aspects which needs to be considered. Especially for the enterprises with legacy applications, it’s a very tough decision considering the investments they have made in their own datacenters. Few of the factors which comes into play while choosing SaaS applications are Security, Return on Investment, Platform suitability, Compliances and Integration.

These factors coupled with other challenges necessitates the need of SaaS testing.

So what is SaaS Testing?

SaaS Testing refers to the set of testing methodology and processes used to ensure that applications built using the software as a service model of development, functions as designed. SaaS applications entail thorough testing for their integrity, different from that of on-premise applications. This involves testing of data security and privacy, business logic, data integration, performance, interface compatibility, Optimization of testing, and scalability, among others.

SaaS testing also have shorter testing cycles because of the architectural model of software delivered as a service, as compared to traditional software delivery. SaaS testing methodology thus does not require test cases for client or server installations, multi-platform back-end support, multiple version support or backwards compatibility usually. But there are many other different test cases which comes into play for SaaS Testing because SaaS applications function in a cloud computing environment that incorporates SOA (service oriented architecture) and Web Services into the fold.

Also agile methods are typically part of SaaS testing because of the speed of delivery. The use of test automation tools for building regression suites in this agile model helps organizations bring in business value and quickly validate the impact of upgrades also.

So let’s have a look at what needs to be tested for SaaS Applications?

  • Performance Testing: Performance is the most critical factor for the SaaS applications. Each module of the application needs to be performance-tested along with the workflow. It’s also up to testers to determine the throughput expected in the workflow. Also by stressing the system with load tests, the team can determine the application’s ability to handle unsteady loads and find the maximum supported levels. SaaS testing, with a focus on ensuring performance, is imperative to a SaaS provider’s success.
  • Availability Testing: Making sure that the application is available at all times for the users is very important for successful testing. The SaaS application should not go through any downtimes.
  • Security Testing: This is major concern and sometimes also a deal breaker if you are opting for SaaS option for applications. It is vital that proper security testing is carried out and any threats to the data, privacy does not exist.
  • Interoperability Testing: Every SaaS application must be able to function seamlessly in all different environments and platforms so that users from all backgrounds can use them.
  • Stress and Load Testing: SaaS application needs to be tested for various amount of stress and load beyond its usual operational capacity in order to evaluate how it responds to and gives results.
  • Integration and migration tests: There are many API’s to which your SaaS application might be integrated with. The data migration and integration should be checked and tested while ensuring the data privacy and security.
  • Business workflow tests: Business workflows and other competent functionalities needs to work as planned. Knowing the different configurable and non-configurable components of the application makes it easy to test and get the best out of the application.

Though SaaS testing comes with its unique set of challenges, the right skillset and planning can help mitigate risks associated with it. Gallop’s SaaS testing methodology ensures that right strategy, automation & best practices are followed throughout for your application on cloud.

The opinions expressed in this blog are author's and don't necessarily represent Gallop's positions, strategies or opinions.

Cloud Testing: Using Selenium to Test Mobile Web Apps in the Cloud

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Today’s Software applications are mostly web based and with the Cloud infrastructure gaining prominence, they are mostly deployed on Cloud servers. Cloud infra offers unlimited storage, quick availability and can be scaled as desired. With no upfront investment, cloud is turning out to be the really cost-effective solution offering multiple choices for software developers. The way testing is done has also changed with this disruption as organizations need not build and maintain in-house testing facilities that mimic real-time environments.

Cloud-based Testing has emerged as the best way of testing with a compelling combination of lower costs, pay-per-use models, scalability and flexibility it offers. It can also address the ramping demands for sophisticated test environments.

As the number of mobile Oss, browsers and platform combinations are growing, it is getting difficult to test the mobile apps on the possible real time combinations. Applications are now becoming dynamic, complex, distributed and component-based, creating a multiplicity of new challenges for testing teams. And the Cloud-based test automation has emerged as the potential savior. Testing in the cloud leverages the cloud computing infrastructure, reducing the unit cost of computing, while increasing testing effectiveness.

Selenium is unarguably the most widely used open source solution to meet the needs of your testing project. Selenium can be successfully used with cloud services to test mobile apps across multiple browsers and platforms. Selenium interacts with web browsers to test actions, inputs, and expected outcomes to improve device and platform coverage.

If you are using Selenium, then you know that it is difficult to provision, run, and maintain your own set of machines and setting up something like Selenium Grid to coordinate tests across them.

Sauce Labs is one of the good solution which lets you execute tests recorded in Selenium on a cloud-based emulation system across multiple devices, browsers, and platform configurations. It is important to develop mobile application tests with extensive coverage—and minimal test script maintenance which is what cloud ensures. Saucelabs can be optimized for testing in a continuous integration workflow with a focus on reliability and scale. By running tests concurrently on Cloud, you can keep your build quick without sacrificing coverage.

A typical Saucelabs test on cloud runs something like this:

  • Open a specified browser in Sauce Labs
  • Test runs
  • Browser closes
  • Test results (along with a video recording, screenshots, and other debugging information) are available on the job dashboard

So if you are looking to run the selenium tests completely in the Cloud then you need to have a CI tool like Jenkins or Travis to set up your tests. You can then configure CI with Sauce to run your Selenium tests.

I have also found an interesting tool called Nerrvana which you can try. It claims to record in Selenium IDE and run in the Selenium cloud.

Moving testing to the cloud is something which should be discussed with all the stakeholders and a proof of concept should be done before going full fledge into cloud testing. It is more of a cultural and process shift which should be handled while moving to cloud. A proper ROI analysis before moving ahead can let you identify the range of benefits which cloud testing can deliver.

Selenium comes as a proper fit for cloud based testing because of its open source nature. You can either setup your own selenium grid in cloud or use something like sauce which is an off the shelf solution.

Selenium can be easily setup on Amazon EC2. You need to create Amazon AWS and EC2 accounts and create web service access keys and setup environment and install Selenium Grid.

The cloud-based testing comes with lot of resource flexibility and reduced security concerns, compared with the issues organizations face when considering placing production data and applications in the cloud. As an organization, you need to asses whether you will be using a public cloud or the private cloud based on your needs.

Gallop is an experts in using Selenium IDE, RC and WebDriver / Selenium 2 for test automation of Web and Mobile Applications. We have leveraged Selenium for various clients and deployed the Selenium Grid on the cloud integrating it with Continuous integration tools for successful test automation of mobile apps. If you are looking for Selenium testing services, feel free to drop us a message and we will be glad to assist you.

Mobile Test Automation, Mobile Testing, Mobile Application Testing, Testing a Mobile Application, Mobile Testing Blogs

The opinions expressed in this blog are author's and don't necessarily represent Gallop's positions, strategies or opinions.

An Insight into Cloud Testing


An Insight into Cloud Testing

Cloud testing is a form of testing in which applications use cloud computing environment and cloud infrastructure. The cloud infrastructure includes hardware and bandwidth that closely simulates real world conditions and parameters. Testing a Cloud includes availability, security, performance, interoperability, disaster recovery, and multi-tenancy testing. Testing is performed in three distinct areas of cloud that includes infrastructure, platform and service. Organizations and enterprises face a lot of issues with testing such as limited test budget, lack of meeting the prescribed timelines in addition to high costs per test. Cloud testing facilitates services to clients based on internet and delivers services like resources, software, and information by leveraging cloud computing resources and models to enable all aspects of testing in a highly cost effective manner. The aim of cloud testing is to ensure high quality service delivery and help avoiding data outages by comprising of testing inside, outside, or either, in a datacenter.

A typical cloud environment handles high increases in load by dynamically scaling to more physical resources based on the need. It runs on a virtualized hardware and a software stack that can be moved and replicated between machines as needed. It provides API’s for integration and management and is built to be highly scalable in real time. However, to successfully provide cloud services and sharing of resources, the cloud must be tested. Cloud testing is testing cloud-based applications as a service and IT organizations that deal with testing products and services make use of cloud-based licensing models for clients. There are some cloud testing challenges like security challenge, layered testing challenge, scalability issues, lack of universal standards, guidance, and limited infrastructure that needs to be taken care of while cloud testing.

Benefits of Cloud Testing

With organizations adopting cloud services, they definitely get the benefit of quick access to data whenever needed without experiencing any undue delays. It also helps users’ data to be moved to large data centers, which are remotely located, with the user being able to access the same anytime needed. Further, it reduces direct price of equipment maintenance and management and helps attain rapid ROI on application assets and brings about faster time to market.

Disaster Recovery in Cloud: Today, there is a new concept of cloud that is based on virtualization wherein the entire server including the operating system, applications, patches and data are encapsulated into a single software bundle or virtual server. This virtual server further can be backed up to an off-site data center within no time. Since it is a virtual server without any need for hardware, data can be safely transferred from one data center to another without the burden of re-loading to the server. This can dramatically reduce recovery times compared to conventional (non-virtualized) disaster recovery approach as the server need to be loaded with the OS and later need to be configured. With cloud computing, disaster recovery becomes more cost effective with quicker recovery times.

Multi-Tenancy in SaaS Cloud Computing: In cloud computing, multi-tenancy represents a Software as a Service (SaaS) and the vendor provides a single version of its software for all its customers. Under

multi-tenancy architecture, a single instance of a software application serves multiple customers wherein each customer is a tenant. Under cloud computing, the multi-tenancy architecture has broadened due to new service models that take advantage of virtualization and remote access. The SaaS provider can further run one instance of its application on one instance of a database and provide web access to multiple customers and each tenant’s data is isolated and remains invisible to other tenants. It lowers the costs through economies of scale.

Cloud Testing Models

There are 3 models named as Infrastructure as a Service (IaaS), Software as a Service (SaaS), and Platform as a Service (PaaS). IaaS is a typical platform virtualization environment as a service. It can be represented as a fully outsourced service wherein client purchases servers, software, data center space, and other network equipment. With respect to SaaS, the cloud provider offers complete applications over the internet and service is paid on a unit basis with the Pay As You Go model. With the PaaS model, the service facilitates to help enterprise developers to quickly write and test customer or employee facing web applications.

There are different types of deployment models such as public cloud (services can be found by the third party through the web), private cloud (arranging of privately used applications emulating a cloud over the web), and the hybrid cloud (- which is a combination of public and private clouds).

Types of Cloud Testing

  1. Functional Testing: It is performed for both remote and local applications. It consists of testing all features and functions of the system that includes hardware and software testing. The different types of functional testing are System, Integration, and User Acceptance Testing.
  2. Non-functional Testing: This type of testing is done to ensure that a web application meets the specified performance requirements. It includes Security testing, Stress testing, Load testing, Performance Testing, Browser testing, Latency testing, Availability testing, Business Requirement testing, and more.

Cloud Testing Tools

The right choice of testing tools really depends on multiple parameters including client application architecture, context, and client needs. Some of the most commonly used Cloud testing tools have been given below.

Load Test and Performance Monitoring Tools

  • Perfecto Mobiles, Keynote (Test Center Enterprise)
  • Monitis, Cloudsleuth
  • BrowserMob, CloudTools, GFI
  • LoadStorm, CloudHarmony, InterMapper, BlazeMeter

Web Functional/Regression Test Tools

Windmill, QEngine, Soasta CloudTest, Selenium, LoadStorm (Web & Mobile), etc.

Cloud Security Testing Tools

Nessus (Detect Vulnerabilities), Wireshark, Nmap, App Thwack (for testing Android, iOS, and web apps on actual devices), Xamarin Test Cloud, etc.

Finally, it is true that the future for all large as well as small businesses will be around cloud computing solutions on a large scale. There are many advantages with cloud-based applications and with the advancement of cloud technology, cloud testing is emerging as Testing as a Service (TaaS). Thus, innovative cloud testing techniques, solutions and certain standards are needed to support on demand testing services in a cloud infrastructure.

Gallop Solutions is ahead of the curve in enabling cloud-based testing services. Contact Gallop’s team of testing experts to know more about our testing services.

The opinions expressed in this blog are author's and don't necessarily represent Gallop's positions, strategies or opinions.