Ensure Holiday Readiness with Performance Testing

Performance testing

The e-commerce/m-commerce companies, small-medium-large are juggling with tricks to make their presence felt amongst the potential buyers. With greater opportunities and possibilities, retailers in the segment are facing tremendous challenges. One of the key challenges is to provide a compelling and secure interface to the online shoppers. This further reinforces the significance of performance testing for e-commerce sites, particularly before peak holiday season.

Deloitte in its mid-year update made predictions on the six key top trends which are transforming the retail sector in 2016 – Subscription model, delivery, personal commerce, social influence, reinvented TV shopping, internal re-organization.

While competing in this high-octane space, getting the Digital commerce platform ready for the Big Bang shopping season is at the core of every retailer’s business agenda.

Whether it is a brick and mortar store or an ecommerce site, online presence marks the essence of every business strategy today. Checking website performance, load time, application’s performance testing, application load test, and a lot more is rapidly becoming inevitable for commercial success. All these factors play a crucial role especially during high pressure festive seasons, when every small or big portal is trying to grab maximum profits from the market.

A recent news report shared another interesting story in the ever-enticing retail sector. Tesco customer Kate Shepard, a bar owner from Durham was shocked when she discovered that a jar of marmalade she had ordered online had been defaced manually.

The 38 year old later tweeted, “So I had my @Tesco shopping delivered and someone has written on my marmalade, Tesco staff must have a lot of time on their hands!” She further tweet a picture of the Mackays Seville Organge Marmalade, which was scribbled over to read ‘Jimmy Saville’.

E-commerce is definitely tantalizing the shopping tastes of customers, but at the same time, customers are gearing up with new-age defences of Social Media. This is increasingly giving nightmares to ecommerce companies, making them more market-ready.

What could Tesco do in this case? It apologized and offered a full refund with a voucher. This reinforces the earlier point that whether online or offline, performance testing and gearing up for a busy season is not optional, but a business mandate.

External testing in the production infrastructure is the best possible way to gauge the capacity and performance in the real environment. It will further ensure that online apps are giving the required reflexes and performing as expected. Moreover, with brands working towards offering Omni-channel user experience, getting your 360 degree campaign to operate seamlessly is exceptionally critical.

How can brands/retailers build for themselves the confidence to offer seamless and compelling shopping experience and at the same time not succumb to traffic spikes, thanks to the festive upswings, events, or promotions?

There are instances where brands bite off more than they can chew.

In October 2014, Filpkart, India based e-commerce giant, apologized for the glitches on the Big Billion Day Sale. The site faced a heavy rush, resulting in cancellation of orders, delayed delivery, and much more. This resulted in a huge PR dismay for the brand.

Is a comprehensive Performance Test strategy the solution? What is that sought after checklist that can ensure success for Digital Commerce?

  • Know your online customer behavior

From a sheer business perspective, it is important to understand how users operate across the e-commerce site, gauging the peak and fall of activity.

  • Key business processes/flows considered by site visitors
  • Average time of a user on the site
  • User interaction – Shopping Vs. Browsing
  • From where do they bounce/abandon the process
  • Average view per minute/hour
  • Average orders placed per minute/hour
  • Assess the overall traffic patterns, especially against peak shopping events/promotions
  • Flow of traffic from Mobile devices and its impact on the above-mentioned factor
  • Understanding the complexities

While preparing the test strategy for ecommerce sites, it is important to understand the depth of the site and measure the complexities. Ecommerce sites are tremendously complex and geared with various layers of interactions. To ensure seamless performance, it is important to understand various levels of interactions and components. The common areas to focus on while testing are:

  • Application glitches: It is important to watch out for inefficient code, syncing issues, memory leaks, and app dead locks.
  • Database Performance: Being at the core of performance, it is crucial to look out for locking and contention, missing indexes, inefficient queries, managing the memory, and scattered growth of data.
  • Configurations: Assuming that the default settings are barely ideal, it is critical to check for variations between environments and optimize the tuning as per the devices in the architecture.
  • Load handling: With an objective to effectively use hardware, it is necessary to look for algorithms that are not optimized with unused features and capabilities.
  • Determining Connectivity issues: Since communication plays a crucial role and connectivity issues are immense, it is much important to ensure that systems can communicate with minimum bandwidth, the firewall has enough capacity, and the system is ready for varying mobile networks.
  • Bandwidth capacity: Loading the site with rich content for enhanced user experience means that you are inviting bandwidth troubles. Ensure that your site is able to perform and application load test is done with minimal bandwidth and supports varying connection types/speeds even across mobile devices.
  • Compatible Architecture: While designing, the ecommerce site architecture needs to be cautious about unbalanced tiers, technology choices, or scalability issues. At the same time ensure that analytics tracking, payment gateways, accumulated content, or social channels are not affecting the performance of the site leading to any disruptions.
  • Performance testing tools

Performance testing helps determine the speed and effectiveness of a system, an application, a software, a device. It involves quantitative tests executed in a lab environment/virtualized environment to measure the response time or the MIPS (Millions of instructions per second) at which the application will function. Additionally, implement the appropriate tools as per the requirements. There are various Performance testing tools available to execute effective performance tests, to name a few:

  • WebLoad helps you perform load and stress tests on any internet application by using Ajax, Adobe Flex, .NET, Oracle Forms, HTML5 and quite a few technologies. The tool supports performance testing for applications with heavy user load and complex structures, further assessing the functionality and performance of the web application.
  • LoadComplete, an easy and cost-effective performance testing tool, enables the tester to create and execute accurate load tests for websites and applications. It further automates the load tests by recording user interactions, which are further simulated with hundreds of virtual users either locally or over the Cloud.
  • HP LoadRunner, a HP product helps understand and determine the performance and response of the system when under load. The most compelling feature of this tool is that it can create and manage multiple users at a time.
  • Rational Performance Tester, an IBM product, is an automated performance testing tool used to test web applications or server-based applications, where input and output is involved. The tool helps create a demo of the transactions between users and web apps. The statistical information derived towards the end helps analyze and increase the apps efficiency.
  • NeoLoad, a tool by Neotys is used to measure and analyze the performance of websites, where the outcome can be assessed for planning further steps. The tool further helps improve and optimize the Web application’s performance under loaded traffic.
  • Loadster, a desktop-based (web browser based) advanced HTTP load testing tool, is easy to use and record the scripts. With the Graphical User Interface (GUI) you can alter and customize the basic script and variables to verify the response. It enables to emulate large virtual user base to stress test the applications, and further helps generate HTML reports for analysis and detecting performance bottlenecks within the application.
  • CloudTest, a performance testing tool by SOASTA is used for testing websites, mobile apps, APIs, etc. It enables users to use Cloud platform as a virtual testing lab, where multiple developers/users can carry out their performance or load tests on the Cloud cost effectively with the tool.

In conclusion

While the tools make your life easy and build your ecommerce application for a larger audience during the Big Day sales, it is equally important to have the right team with necessary skills to implement a comprehensive Performance testing strategy for the ecommerce site.

Gallop has been extensively working with some leading and innovative enterprises to strategize Performance testing for their business-critical applications. Gallop’s Performance Engineering & Testing teams provide new-age solutions and services to global clients. Our expertise spans across a wide range of applications comprising, client-server, web, distributed, mobile, cloud databases, high volume transaction systems, and highly complex applications.

Gallop’s Performance Center of Excellence (PCoE) provides end-to-end performance testing solutions to help our clients launch future proof applications with high responsiveness, availability, and scalability. Moreover, we have partnered with various Performance Testing tool vendors and enable our clients to choose the right tool based on their requirement and budget. Connect with our experts to get your E-commerce site/Web App/Mobile site ready for the Next-Gen marketplace!

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

Chic or Geek, are we adequately testing the Wearable Tech


Is Style winning over Substance, or is Wearable Tech here to bring us flawless experience and ease? Interestingly, Wearable Tech’s relevance and application has today gone beyond mere fashion/sports accessories. Mobile World Congress (MWC) 2016, world’s largest and sought after gathering for the mobile industry, showcased some of the hottest trends in the Wearable Tech space.

For instance, at the recently held MWC 2016, some leading tech channels and portals specifically hand-picked a portable device that could fit on a cow’s leg and help farmers to gauge the cattle’s fitness level and address the medical issues before they get chronic. This proved to be a major cost-saver for the farming fraternity, showcasing how technology can empower not just humans, but major sectors at large.

Likewise, Wearable devices are being designed and tested in organizations to help improve sitting postures, concentration, and productivity amongst employees. A research done by Goldsmiths, University of London found that using Wearable devices in office premises could help boost productivity up to 8%..

Alternately, a study that analyzed around 120 employees at a media company for a specified period revealed that using Wearable tech reduced the alertness by 9%, but at the same time the job satisfaction levels increased by 3%.

A smart watch that can give you feedback on you morning jog, a sleep tracker that can help you sleep better, a fitness tracker for your pet dog, or a heartbeat tracker that can determine your overall health, Wearable Tech is engaging on every front.

In a recent episode, BBC Click showcased some chic Wearable gadgets like key rings, phone cases and bracelets with payment chips, a ring wearable that goes with your outfit and syncs in with your iOS or Android device to alert you on calls, messages, emails, or any kind of social media notifications that you might miss if you happen to forget your phone.

As we gauge from these examples and the way the inventions are headed, everything revolves around the intrinsic needs of a human or a living creature. For instance, a dainty looking device designed for women to track stress levels, sleep and overall lifestyle related health issues. This further intensifies the need to strategize and execute a thorough testing effort to ensure flawless experience.

These gadgets are further supposed to sync in with your portable mobile devices to display the required results. Fitbit Alta, is a hot selling fitness band that tracks the steps, the running time, calories burnt, and all titbits related to the body’s fitness. The band has to not just sync in with the jogger’s pulse rate, but also with the Android that you are carrying to display the required results.

The concern is, you have spent a fortune on developing a gadget with all required features and then you realize that it is unable to sync with your Android or iOS. So, testing is not just applicable for the gadgets, but also for the Apps that orchestrate the overall impact.

Is Wearable Tech ready for the marketplace? Is the question to ponder over.

At present, the marketplace for Wearables is all gung-ho and flooded with innovative attempts to make it work with the end users. Considering this scenario, there is nothing streamlining the industry and how it should evolve in terms of performance VS commercial viability.

There are some fundamental questions raised:

  • What will be the behaviour patterns of these devices?
  • What is the data bandwidth required for operating the wearable apps?
  • How will the devices sync with the Apps and function synchronously?
  • How will the device access the Internet and other related devices for data sourcing?
  • Apart from the gadget’s functionality, how will the performance get evaluated?

The solution and the only answer to these popping concerns is Load / Performance testing the applications synchronously with the devices. However, the challenge is that there is no decided or standard platform to test these devices and applications. It is still evolving, as the market evolves.

While established players like Nike+, Jawbone, and other fitness devices like Fitbit continue to provide strong reference points, there is a universe of devices in the market that mandates thorough scrutiny. And this further adds on to the challenges and nightmares of the developers and testers. Let’s check out some key challenges.

  • Bubbling Marketplace: Devices are coming up in the market every day and dying out frequently due to its ineffectiveness in the market. So, there is hardly any strong reference point and any scope of predictions for the future.
  • Absence of a standard platform: Software system implemented for Wearables is varied and not so structured. This requires customized coding and recurring test implementation to gauge the desired outcome.
  • Legacy issues: Wearables at some point of time need to sync with redundant legacy systems that create issues in terms of performance. The major concern is, there is no particular decided approach to resolve this gap.
  • Challenges with Development: Ineffective displays, inadequate data connectivity, poor battery life, ensuring water resistance, building secure interface, and most importantly, designing the right ergonomics are some of the related challenges for developers.

Connectivity and interoperability across devices is a major area of focus, as most of the Wearable Tech depends on Internet connection or a shared Wi-Fi connection to give the desired results. So, during the development of the application and device, requirements related to data connectivity should be considered. Additionally, Wearables might also impact the performance of the mobile device. It would be a tricky situation if the mobile device is connected to 5 wearables and is receiving information at the same time from all of them.

Can it really take on the load?

With no definite way, what are the most effective ways of Performance Testing the Wearables and while designing specific applications?

  • Test Automation for constant vigilance: There is a constant need to confirm the performance of the devices and the results that are getting generated. The only solution is to automate the tests for continuous testing and get speedy evaluations. This will further optimize the code and ensure Continuous Integration. Furthermore, it will ensure maximum test coverage.
  • Service Virtualization can speed up the process: While Service Virtualization has its own implications and relevance in the software testing space, it holds tremendous benefits in Performance Testing. By emulating the environment, the DevOps teams can leverage virtual services instead of the core production environment. This helps in constant and complete testing with the essential components possibly present in the real environment. Moreover, it helps test the interoperability of complex applications in the development process and reduces defects that could hinder the Application/products time-to-market.
  • Load Testing with an Agile approach: While experimenting with new applications and devices, enterprises are looking at cost-effective approaches. The Agile process helps develop higher quality software within stringent timelines and at lowered costs. The objective is to test performance during the development process, while ensuring functional excellence at the same time. If these tests are conducted in the post-production phase, it is bound to incur high costs and kill more time.

With over 10,500 athletes from 206 countries and numerous medals to grab, Rio Olympics 2016 saw many athletes using non-conventional means to build efficiency. Tech portals reported that some Olympic athletes were considering a new wearable called Halo Sports, a pair of headphones to boost their efficiency. Wearable Tech can be found across any or every category and are coming up every day without serious monitoring and vigilance, thus, reinforcing the need for testing performance.

Gallop’s Performance Center of Excellence (PCoE) provides end-to-end performance testing solutions to help our clients launch future proof applications with high responsiveness, availability, and scalability. We have worked with global innovators to build path-breaking devices and applications.

Connect with us for a robust test strategy and gain faster time-to-market.

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

Testing the Unknown. Is Performance Testing the Answer?


Self-driven cars, self-instructing drones, or Tony Stark’s super-competent computer J.A.R.V.I.S. is soon becoming a reality for the world. Yes, the next thing you own could be any artificially intelligent gadget from the famous Marvel comic collection or a time and space crashing machine from Disney’s Tomorrowland.

The future has it!

News is out and twitter is trending with photos and videos of Google’s Burrito Delivery drones getting officially tested in Virginia. The drones are being tested for the capacity of weight it can carry, overall management, and coordination. With new age technologies being implemented for everyday jobs, one day you can surely expect a drone hovering over your head to deliver a pizza.

Literally speaking, testing performance ensures that the pizza is delivered in your hands and does not go down the chimney!

Uber is just gearing up to introduce a fleet of driverless cars in Pittsburgh, a former steel town and is on the way of becoming the first city to explore autonomous vehicles. It has planned to use around 100 modified Volvo sport utility vehicles for passenger trials with human monitor behind the wheel. Kind of ensuring convergence of human and technology. It proved to be a 21st century technology leap when Pittsburgh authorities helped the company to lease a large plot near the city’s riverfront to build a testing track.

A city of 306,000 seems like an ideal ground for Silicon Valley’s wildest experiments. Too soon to say so! It has also triggered worries amongst the populace regarding safety and regulations for testing a premature technology.

Is cynicism a prelude to any innovative venture?

How a city reacts and accepts disruptive tech experiments like driverless cab services is definitely a phenomenon to watch out. At the same time, there are quite a few tech and auto companies, who are testing their own driverless fleets in cities like California and Michigan and going through their own set of challenges.

Perfection is the key. The very reason testing is taking a front seat in the overall development process. Specifically, Performance testing makes a large impact by determining the effect of any new technology/device by gauging various factors. If we can say so, Performance testing refutes the hands-off approach to overcome every possible glitch.

In case of Uber, the tested cars are already on the roads and picking up commuters in Pittsburgh. What is the mechanism if the vehicle stops mid-way in traffic? Is there automated messaging to the base station? What is the contingency plan for any such possible breakdown?

Performance testing helps you answer ‘ifs & whys’ of every glitch that you may expect.

Performance testing has been helping CTOs identify, evaluate and authenticate the speed, consistency, and dependability of the system to finally deliver a bug-free software/device. It covers an entire spectrum of factors that determine quality, load, stress, and soak testing to volume testing at various stages of a software’s development. It further helps test at various levels of the application to measure factors like capacity analysis and server response time, risk management testing, which can act effectively to confirm the performance of the new age devices.

It helps CTOs/development teams monitor and assess critical aspects like response-time, infrastructure capabilities, Network bandwidth, risks involved, and much more that can determine seamless functioning. A wholesome testing approach helps address performance defects and helps meet sporadic demands at every stage of the SDLC.

Performance testing methodologies further check predictive performance of an application to run flawlessly and rush faster to the market.

With perspectives and tools evolving every day, experts are effectively leveraging open source performance engineering tools to slice off the turnaround time by monitoring the overall Software Development Life Cycle (SDLC) process.

Soak Tests, Load Tests, or Stress Tests?

New age technologies and tools have been increasingly posing a challenge for the testing community. A particular type of testing or performance testing mechanism might not help to deliver a particular result. However, what could work magically, is a combination of various approaches for deriving the desired outcome.

Load tests and Stress tests have been increasingly used to evaluate a software or device’s stability, scalability, and responsiveness under excessively coercing and stretching parameters. Devices that are bound to determine the future of a particular service domain need to get tried and tested under equally stressful real-time environment with all possible unruly factors.

Soak testing is considered a type of Stress test to mainly check the response of a particular aspect under test or mostly an emulated environment over a particular time span. Inferences derived during Soak tests help improve the characteristics of the application/device.

Brands can possibly implement Soak tests for months together and simultaneously apply external factors to gauge the performance. This further confirms the system’s consistency and various other performance aspects over a longer and stretched time span, particularly evaluating a system’s stability over a much loaded period of time.

Leveraging the Virtual Environment

Working in an emulated environment can work wonders while testing services/devices that require a lot of factors to work together. Service Virtualization helps developers and testers test applications/software in a constantly evolving environment. It helps test against a wide range of functional and performance factors with a minimum set-up.

With service virtualization, you can simulate the performance of every dependent factor and control them. It further helps to determine the impact of the ‘virtualized’ dependencies to assess various high risk factors required to test the Application Under Test (AUT).

An experienced and capable testing partner can offer a virtualized Test environment as per your test needs and can scale them as per your requirement.

A comprehensive test strategy helps bring down the scepticism towards every innovative attempt and increase acceptance. What you need is a reliable testing partner to work with and devise the best possible approach.

While an inclusive Performance testing strategy will continue to kill the bug around all tech innovations, being a ‘Doubting Thomas’ always helps to bring the best from your testing efforts.

Gallop’s Performance Engineering & Testing teams hold massive experience in providing cutting edge services to global clients. Gallop is equipped with a dedicated Performance Testing CoE that focuses on providing solutions around performance testing and engineering. Connect with us for a complete performance testing strategy that accelerated time to market without compromising quality.




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

FinTech Revolution and the Growing Need for Performance Testing

FinTech Revolution and the Growing Need for Performance Testing

During his tenure as Chief Economist at the International Monetary Fund, Raghuram Rajan (now the Governor of the Reserve Bank of India) delivered a controversial paper that addressed certain issues in the financial sector and introduced the term ‘tail risks’ and its impact on the banking sector. These and many more reasons were addressed, which could lead to global financial crisis.

This was followed by the global financial crisis of 2007-09, considered as the worst after the Great Depression of the 1930s. While we could focus on few factors, it was practically an outcome of combination of various factors that resulted in the crisis. Post the entire turmoil, there was a conscious awakening in the financial services segment and many necessary amendments and reforms were made.

Financial Technology, popularly referred to as Fintech, are organizations / start-ups that leverage various technology platforms to efficiently offer financial services. Essentially, Fintech is considered as the ‘fourth industrial revolution’, which has impressively created waves even at a nascent stage.

Fintech firms are here to revolutionize and offer a secure interface for taxpayers and the customers in the vast economic diaspora. It is a joint venture of software geeks and Venture Capitalists, who plan to create a phenomenal shift in the way economies perceive the financial services market.

This phenomenon is definitely creating a buzz with the kind of investments it has attracted. It is estimated that these start-ups have attracted $12 billion of investment in 2014, which is $4 billion more than in 2013. Goldman Sachs estimates that the total worth of the Fintech market is worth $4.7 trillion. Fintech firms cover an entire gamut of services in the financial services domain, namely, online utility payments, wealth management, and Crowdfunding.

Fintech start-ups have successfully got their hands on the pulse of the consumers today, where there is a soaring demand for credible and secure interface for accessing digital services.

This growth and upsurge has been triggered by various surveys and studies done by market research and analyst firms. An analyst report projects that the global Fintech investment market is estimated to grow at a CAGR of 54.83% during the period 2016-2020. By drawing this kind of attention, the Fintech revolution has attracted eyeballs and massive expectations.

As we understand, the Fintech industry segment is evolving rapidly and the growth index has been set. Now, the way forward is to focus on the most crucial factor – Customer Satisfaction. Today, Fintech firms are in the process of conceptualizing and offering business critical financial applications for the banking sector, financial institutions, and even directly for the customers.

But as they say, with great opportunities, there come greater Challenges!

Operating in the financial services domain poses a lot of challenges, as it entails tremendous risks. Irrespective of the domain of business, Fintech firms deal with sensitive data and customer base to process and serve. Secure interface and robust performance defines the success factors for this domain. Additionally, the industry has to adhere to various compliance guidelines and regulations governing the financial services sector.

Consequently, testing the performance of these business critical applications is imperative for evaluating their speed and effectiveness in the marketplace. Specifically, in a socio-economic environment which is highly volatile and prone to risks.

For instance, while dealing with banks and financial institutions, Fintech firms have to conform to various compliance issues of the banks. This specifically pertains to hosting on the Cloud.

In such an ecosystem, it is essential to collaborate with a strong and experienced partner for a comprehensive testing framework and strategy.

Let’s encapsulate the compelling reasons for Performance testing and its importance.

  • Dealing with sensitive financial data
  • Managing complex customer database
  • Mitigating risks across a digital platform
  • Implementing Compliance / Regulatory issues in the financial domain
  • Managing performance of critical applications across devices and environments

Apart from the various reasons for Performance testing, we will also shed some light on the best practices in testing. These practices can help ensure seamless performance of business critical applications that are being brought to the market today by Fintech firms.

Shift-left for effective Performance Testing

Performance of a software or application comes down to the phrase ‘now or never’. Your application may fulfil the functional aspects, however, it is important to gauge whether it is been done in a particular time frame and under a particular environment. This is where the challenge arrives.

Performance Testing or Load testing (for critical applications) is crucial in the financial services domain. Experts with a contemporary and fresh perspective recommend that Performance testing should start early in the Software Development Lifecycle (SDLC). The boons of this approach are validated and endorsed by experts.

The Shift-left approach brings down the changes of major architectural changes and reformation at the final stage. It takes into consideration every functional and performance related aspects along with the development of the application / software. Ultimately, this results in timely solutions that ensure cost-effectiveness. Rationalizing the costs is, and has been, one of the concerns of every start-up organization today.

Shifting Performance Testing way early in the testing lifecycle ensures cost-effectiveness without compromising the quality.

Service Virtualization for effective Performance Testing

There are many tools available to simulate the environment to Load / Stress test the application and gauge its performance. Performance testing helps stress the application under normal as well as excessive loads, which helps in estimating the possible impact on the application and its performance.

Service Virtualization emulates various heterogeneous components in a particular environment for the Application Under Test (AUT). This further aids the Performance testing efforts, as it helps to test the application against an array of functional and performance conditions, which is scalable on-demand.

Collaborating with an experienced testing partner also gives you access to an emulated test environment, where small and large organizations can test their applications with a minimum set-up.

Testing Performance on the Cloud

Fintech ventures have to adhere to guidelines and regulations defined by the financial world. The major challenge occurs when business applications and sensitive data is loaded on the Cloud. Testing in a Cloud environment comes with its own set of challenges that require expertise on the part of the testing partner.

Performance testing on the Cloud computing environment comprises of testing the network, the server, the database, and the application. The testers are required to check the interaction amongst various components in the ecosystem. At the same time, it is important for the tester to anticipate risks and gauge the application’s performance in an unknown and alien territory.

Nevertheless, Performance testing on the Cloud also comes with its intrinsic benefits, typically, lower capital and operational costs, accessibility for distributed development teams, and effective scalability.

Thus, ultimately, what is a Fintech’s core secret to success? If defined, the underlying purpose is to offer innovative services with high security and by aligning with stringent compliance standards. Gallop’s dedicated Performance Testing CoE focuses on providing solutions around performance testing & engineering for our global clients. Collaborate with our experts to devise a comprehensive testing strategy.




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

Shift-right for ‘Performance Engineering’, a potent approach?

Shift-right for Performance Engineering

Whether it is a device, hi-end software or a simple application for the end user, flawless performance and seamless experience is at the core of every business venture. The market place is bursting with tremendous competition. In this challenging scenario, a strong testing framework and test strategy can indisputably get your application market ready.

‘Performance Engineering’ comprises a gamut of skills, tools, practices and activities at various stages of the Software Development Life Cycle (SDLC). It ensures that the application’s Non-functional requirements are met. These non-functional requirements comprise all factors that monitor the overall functioning of the system rather than just specific behaviour types.

Performance Engineering is known for:

  • Improving the software/application speed and robustness without necessary rebuilds
  • Ensuring optimum performance from the existing systems
  • Enhancing application/software’s performance for commercial or business viability

Shift-left or Shift-right?

There is an exhaustive amount of discussion around adopting a Shift-Left / Shift-Right approach for Performance Engineering. With the shift-left approach, testing starts way ahead in the development process. The sheer purpose is to detect and check defects early in the SDLC. This helps reduce the risks and ultimately brings cost-effectiveness. The underlying purpose is to adopt an approach that focuses on prediction and prevention from the project’s inception.

Shift-right approach takes you ahead of the development curve, where the user experience and feedback is gathered post the development stage. This feedback plays a crucial role in enhancing the overall experience and gets your software / application market ready.

Basically, do everything right to get your software / application effectively in shape for the consumer / end-user.

So, how can Shift-Right testing approach hold more relevance for implementing ‘Performance Engineering’?

In today’s challenging market place, it is imperative to incorporate and consider user experience to confirm various aspects of the application / software, especially, user-interface, security, accessibility and ultimately ensure that the application / software delivers the intended business objective. Ultimately, this determines the success of the product in the market and how well it performs over a period of time.

Today, competition is all geared up to adapt the market trends and steal substantial share of your consumer base. For instance, Apple lost its customers to Android mobile devices after releasing iPhone in 2007. So, ensuring desired consumer experience is crucial across any business domain.

Shift-right for ‘Performance Engineering’, a potent approach?

User feedback and constant vigilance in the post development phase proves to be time and cost-effective, resulting in a robust and market ready product/application.

  • It helps boost business revenue by ensuring that the system works in tandem with the user experience.
  • It minimizes system failure and avoids the development efforts from getting wasted due to failure in performance.
  • It enables timely deployment of the system due to performance related issues.
  • It minimizes rework, waste of time, and efforts due to performance issues.
  • It brings down software maintenance costs that arise due to performance problems during production.
  • With constant check on the performance along with user feedback, the project is able to reduce Software maintenance costs.
  • Further it detects future hiccups and possible performance issues.

Finally, it is important to build a robust application/software that hits the market and makes big bucks. Experts also suggest that testing should be considered at a macro level, where it takes a holistic view on the development process. It’s like a game of chess; play it right at the right time. Moreover, it’s about having the right mix at the right time.

Performance is at the core of every delivery/product/application. Across industries and domains, experts are working toward enhancing performance for desired user experience. Shift-Right testing approach plays a pivotal role in bridging the gap between development and users.

With a view to ensure quality, enterprises are constantly making efforts to automate repetitive tasks and minimize errors. This could be a bit off-track, a recent PWC report states that over the years manufacturing sector has gone through a revolution. Industrial robots are transforming the manufacturing sector. They are taking up a range of activities starting with mundane tasks to some high-end technical activities like testing or inspecting products, or assembling minute electronics. It is estimated that today 59% of manufacturers are using robotics technology for various tasks.


Eventually, this comes down to the core point that monitoring and ensuring precision in performance is key to every industry. This effort will be futile if user feedback is not taken into consideration. Gallop experts work with customers across industry domains to advise them on the most applicable testing approach. Connect with Gallop Solutions to get the right testing strategy for your business.


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 TechBeacon.com 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.

Using Open Source Tools to Automate Load Testing in DevOps Era

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Performance testing has changed dramatically in the last decade and has transitioned towards performance engineering. Performance engineering represents a cultural shift in the way organizations view their essential processes, and it has the potential to transform your technology, your business, and your end-user experience.

The goal of performance testing is to help you get to know how your applications behave under heavy load conditions. There are some baseline performance parameters based on which this has to be tested like the most common one which is – Users expect a site to load in 2 seconds. As per a survey, if an e-commerce site is making $100,000 per day, 1 second delay could potentially cost them $2.5 million in lost sales every year.

So what is making performance testers leave the traditional approaches and shift towards the new approaches?

What are the open source tools being embraced by the performance testers?

We will try to answer these questions in this blog post.

Modern delivery teams have changed their approach towards the performance testing drastically and have started adopting open source tools for performance testing. With the need of optimizing the performance of your mobile, web, and API stack becoming critical and UX oriented, it has become important to have the right automation strategy for your performance tests. Having right automated performance tests can help you in every stage of the delivery pipelines.

DevOps is the new buzzword which is driving the modern delivery teams to realize quicker time to market. Though there are many commercial and opens source testing tools which can help you check the performance of your applications, open-source tools are being widely adopted in the DevOps era. Open source tools can generate load and provide the critical visibility you need to find and resolve bottlenecks and constraints so your users have the most satisfying experience possible with every release of your software. There are many open sources tools which are around for a while now, much before we heard of the buzzwords like DevOps. But the continuous delivery, continuous integration and continuous testing have helped these tools find there place and also evolve much better.

Many of the open source performance testing tools – such as Apache JMeter, Siege, and Gatling are now being widely used and have a very strong user community.

JMeter is the most popular open source performance testing tool. You can use Apache JMeter to test performance both on static and dynamic resources (files, servlets, Perl scripts, Java objects, databases and queries, FTP servers, and more). You can also use it to simulate a heavy load on a server, network, or object to test its strength or analyze overall performance under different load types. Jmeter also allows you to make a graphical analysis of performance or to test your server/script/object behavior under a heavy concurrent load.

Siege is another open source testing tool which lets you do http load-testing and benchmarking utility. It lets you measure code under duress, to see how it will stand up to load on the Internet.

Gatling is another open-source load testing framework based on Scala, Akka and Netty which is good for analyzing and measuring the performance of a variety of services, with a focus on web applications.

There are many Commercial tools also which usually allows you to easily build, execute, and analyze performance tests with good reporting, if you are willing to invest more. Though there are many other server-side performance testing tools – both commercial and open source, you need to choose it based on what works best for you.

You might want to also watch the Gallop’s presentation on ‘Visualizing Real User Experience Using Integrated Open Source Stack’ given at Selenium Conference 2016.

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

What should be your Strategy for the Performance Testing in Cloud?

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Cloud computing is changing the way application are deployed, monitored and used by the end users. Cloud offers a virtually infinite pool of resources for computing, storage and networking resources where applications can be scaled as desired.

So how do you measure the performance of these applications in the cloud?

Performance is the utmost factor in testing a web application as it directly impacts the end user experience. Performance testing in cloud is different from that of traditional applications. Let’s find out what should be your strategy for performance testing in cloud. The main aim of the Performance testing is to measures the various parameters such as system throughput, latency with changing number of parallel users accessing your application, with different load profiles and various other performance metrics. In Cloud infra, this becomes a bit more typical with various virtual machines coming into play.

Let’s first understand a bit about cloud.

Cloud is a pay-per-use kind of model which you can scale whenever you want. You can demand the additional resources required and it will be allocated to you. With a high degree of location independence, virtual resources are dynamically assigned and reassigned according to the customer’s need.

Some of the Cloud metrics which are important for a successful Cloud implementation are storage, processing, bandwidth and number of users accessing it at any given point. Elasticity is one of the major factors for the cloud infrastructure as it defines the cloud’s ability to deal with varying load variations by adding more resources during high load or consolidating the users to fewer points when the load decreases, all in a live cloud setup. Scalability, Availability, Fault tolerance and Reliability are the other factors which defines a good cloud infrastructure.

Moving performance and load based application testing to the cloud, brings the cloud benefits to the Software testing by lowering capital and operational costs, and also support for distributed development & testing teams. Cloud-based testing lets you get the maximum by utilizing a cost-effective means of testing applications at scale. It also allows you to simulate load tests constituting millions of concurrent users coming from multiple geographical locations.

Below are the types of performance tests you can perform on cloud:

  • Stress test over Cloud
  • Load & performance test over Cloud
  • Browser Performance testing over Cloud
  • Latency testing on Cloud
  • Targeting infrastructure test on Cloud
  • Failover test on Cloud
  • Capacity test on Cloud
  • Soak test on Cloud

The cost effectiveness is one of the major factor which is pushing the cloud computing. Cloud lets you create separate test regions for system testing with ease as and when you want. The right test strategy should focus on the motive behind moving the cloud, including cost savings, infrastructure access ease, reduction in cycle times, choice of public, private or hybrid cloud etc. The strategy should also clearly mention the type of tests to be performed in the cloud, do you want only Soak tests, or capacity tests or all the ones mentioned above. There are certain risks associated with the Cloud and that should be kept in mind before taking the final decision. Building a test environment, Infra requirements for the tests and the required testing tools, bandwidth, hardware and software, etc. are the other parameters which should be part of your test strategy.

Security, quality, reliability, latency, bandwidth etc. should be carefully looked upon if you are going with any external cloud service provider.

After all the setup is done, we finally need to execution of tests. For performance tests, it becomes typical to vary the load with varying user’s demands and many other factors, so this should be tested according to the defined test strategy. Continuously monitor and analyze test results as you would do in other setup, but in this case it should be done in real-time to ensure you can improve it over a period of time.

Cloud usage is usually linked to the payment very closely. Though scalable, you need to pay as you scale, so make sure that you have that covered with your service provider as per current usage and future usage, otherwise you might end up with a huge bill.

Gallop’s performance engineering teams have successfully performed Performance testing on Cloud for our numerous clients. Our partnership with various testing tool vendors like HP, TestPlant and Neotys allows us to offer you a tool agnostic approach towards performance testing. Get in touch with us if you are looking to test performance of your business critical applications on cloud and we will be glad to do a free assessment for you.

Gallop’s performance engineering teams have successfully performed Performance testing on Cloud for our numerous clients. Our partnership with various testing tool vendors like HP, TestPlant and Neotys allows us to offer you a tool agnostic approach towards performance testing. Get in touch with us if you are looking to test performance of your business critical applications on cloud and we will be glad to do a free assessment for you.

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

Shift Left: Integrating Performance Testing Into the App Development Process

Shift Left: Integrating Performance Testing Into the App Development Process

Before we get into the discussion, for the sake of reference and clarity, let us quickly see the well laid out definitions of Shift Left and Performance testing.

Shift Left is the practice of focusing on quality from day one of a project in order to identify and fix defects as they arise. It requires accountability and increased communication with all stakeholders in the process to ensure the project is staying in-scope. ~ www.shiftleftqa.com/

Performance Testing is the process of determining the speed or effectiveness of a computer, network, software program or device. This process can involve quantitative tests done in a lab, such as measuring the response time or the number of MIPS (millions of instructions per second) at which a system functions.

Sometimes even if an organization follows the Agile development practices, it may not be in a position to have a ship-worthy product at the end of each sprint. The reason is unresolved issues, which, if found earlier, could have reduced the rework, increased the product efficiency and reduced overall costs. This indicates that the team culture lacked in the practice of rigorous performance testing.

A proper implementation of the Shift Left approach (coupled with rigorous and continuous testing) in such a scenario will help find the problems much earlier – thereby reducing both efforts and costs, as also increase the quality of the product.

Per an IBM study, it’s 100 times more expensive to fix a defect found once it has been released.

The biggest challenge that most organizations still face is to launch the best quality product with a low go-to-market timeframe at a low cost. This need to deliver better and faster – continuously – highlights the need and importance of implementing and practicing the shift-left methodology very religiously.

What makes practicing Shift Left very important is the fact that it places a lot of due importance on conducting continuous testing throughout the development process, on the need to expand the areas of testing, and thereby on creating better products at reduced costs. With such focussed testing being performed for increasing the effectiveness of a product, the number of defects are bound to get reduced along with the time to go-to-market. This also reduces the complexity of the errors and the time required to fix them – the major challenges and the nightmare of any Quality Assurance Manager.

According to a research by Evans Data, only 5% of developers claim to ship apps with 0 defects, while 20% ship with between 11 and 50 bugs.

Integration of performance testing into an application development process therefore becomes critical as it helps test every change made to every function. Automated Performance Testing becomes important for testing the more complicated functions as it helps identify – and thereby fix – the issues lurking beneath unrelated functions. A recommended strategy is to address these challenges by mandating the tests for every build, which will help verify that the application is working as required and that it is good to hit the market.

A few things that if defined properly will help integration process a bit more seamless:

  • The Vision of Quality must be made clear to the entire team
  • Proper channelization of the pipeline responsible for the build process, integration of the test process and deployment
  • Invest in making your product consistent – across the board. It will help save a lot of time.
  • Explain the need of continuously running performance testing. Automating it is even better as setting up a test environment usually takes more time than the actual testing.
  • Integrate performance verification tests in the build process to gather and analyze required data

Shifting Performance Testing left is very critical as it acts as a risk mitigator and if performed earlier, the organization can spend time and money for resolving issues. Thus, it should also be performed more frequently during the STLC in co-ordination with the release cycles, so as to gain a better ROI and lower the failure risks of a product.

Gallop Solutions has marked presence as a pure play independent testing services provider with over a decade of experience in serving clients in North America. Gallop’s performance engineering teams have impeccable experience in providing cutting edge performance testing services spanning across client-server, web-based, distributed, mobile, and cloud applications. Our team has extensive expertise in databases, high volume transaction systems and related technologies. Moreover, all your performance related tasks will be dealt with a collaborative exercise that connects different teams and stake holders in the most efficient manner.

If you would like to know how Gallop helped a leading mortgage provider in the United States to improve the application performance by 25% or how Gallop helped establish a Performance Testing Center of Excellence (PTCoE) for a leading retailer which connects 1100 stores and 150,000 employees, feel free to visit our case studies.

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

Performance Testing in an Agile Environment – Similarity, Differences, and Benefits

Performance Testing in an Agile Environment – Similarity, Differences, and Benefits

An Introduction to Performance Testing and Agile – just to set the tone!

Performance testing refers to testing whether or not the performance of an application is fit enough for it to be produced at a large scale. An application that clears the thorough and rigorous performance testing measures, gets an authentication for being production ready. A successful performance test is indicative of acceptable behaviour of the application when under a specific load/stress. Performance testing covers parameters such as the acceptable use of resources required to perform a task, the acceptable form/quantity of output, and the acceptable timeframe for performing an activity. Another very important parameter to consider is the maximum load the application will be able to bear when multiple concurrent users use the application.

An Agile environment is one that most organizations of the world today are trying to setup and follow as it provides a system that helps to produce high quality deliverables in a much lesser time than the erstwhile Waterfall approach. This environment also improves coordination between the multiple stakeholders, thereby bringing about much more clarity of the business purpose for the product, leading to an improved quality. As mentioned, development process based on Agile removes the challenges of a traditional waterfall model and boosts the ROI (return on investment).

Performance Testing in Agile Environment

While an Agile environment needs flexibility to sustain and cannot survive in an inefficient model, performance testing is required to thoroughly check and weed out if any inefficiency exists in the final product. Obviously, the environment is perfect for the process to grow and thrive.

What is the Similarity?

While an Agile environment focuses on analyzing and finding out the performance-related obstacles hurting the critical processes of a business at the earliest so as to help it thrive, the performance testing process mirrors the activity by capturing and fixing the performance bottlenecks for the specific software or product in question.

What are the Differences?

Following are a few differences between an Agile scenario and performance testing:

  • While Agile implementation may mean different things for different teams, a performance tester usually performs the same role as he is wont to do.
  • As against a traditional environment, where performance testing specialists are usually engaged at the fag end of SDLC, in an Agile scenario, the same tasks need to be performed for smaller iterations from the initial stage of the SDLC itself.
  • In an Agile scenario, once the final objective of the whole SDLC has been defined, the whole process is chunked down into smaller, SMART goals, each of which provide a deliverable for the next iteration. In case performance testing becomes a part of this environment, these iterations may be defined based on performance builds – builds that do not have any performance issues.

What are the Benefits?

Performance testing in an Agile environment offers added benefits in the following areas:

  • Quick exposure of bottlenecks: Once performance testing starts being performed in the initial stages of product development, the bottlenecks can be exposed – and thus fixed – much earlier.
  • Saving of effort and costs: Once a bottleneck is exposed at an early stage, it may also be resolved earlier. This will reduce the time and resource requirements to fix the issues in a big way. It’s a known fact that a bug resolved during production may save up to 5 times the cost compared to one that is found once a product is released.
  • Reduced Bugs at later stages: Small bugs if left unchecked may lead to more complex errors. With the bugs being caught earlier on in the cycle, not only the complexity of the remaining bugs (if any) be easier to manage, the actual number of bugs to be fixed will also be much more manageable.
  • Stabilized Application: As an Agile environment requires continuous iterations, it leads to more frequent and rigorous performance testing, the applications become far more stable, and all major risks such as hard coding of values and memory leaks are taken care of, adding the required stability.
  • Reusable scripts lead to saving of effort: There may be multiple scripts in the performance testing process that may be reused going ahead. This re-use may lead to effort savings of up to 60%.
  • Boosts Confidence: Because the product gets tested on all its parameters and for functionality so many times on an iterative basis, the organizations confidence and faith in its product gets reaffirmed and they can be sure of a scintillating success story.

If you would like to know how Gallop helped a leading mortgage provider in the United States to improve the application performance by 25% or how Gallop helped establish a Performance Testing Center of Excellence (PTCoE) for a leading retailer which connects 1100 stores and 150,000 employees, feel free to visit our case studies.

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