Performance Testing – Assured Speed, Scalability and Stability of Applications

Today we have more expectations from software than we used to have earlier. This is the primary reason why Performance testing is turning out to be so critical. Performance testing is a part of any organization IT system. It’s a given that modern application regardless of volume usage should undertake standard Performance testing. These tests reveal defective assumptions about how applications handle high volume, guarantee framework-scaling works as anticipated and recognize load-related defects. Performance testing’s capacity to identify defects happening under high load can help enhance applications regardless of scale.

It is unusual that organizations keep on ignoring the significance of Performance testing, often-deploying applications with slight or no understanding of their performance. This mentality has changed little in the course of recent years as failure of high-profile software applications remains the bottleneck.

In short, Performance testing should be the topmost priority of the organization before releasing a software or an application.

Why Performance Testing?

Performance testing is used to check how well an application can deal with user traffic. By putting a repeated scenario on an application or site, it is likely to analyse breaking points and assess projected behaviour. In particular, Performance testing is performed to identify reliability, speed, scalability, responsiveness and stability of the software.

As a code change from a team that is endlessly incorporating new features, bug fixes can influence how an application looks, and functions on different devices and browsers.  It can change how rapidly that application loads across machines.erformance testing is used to check how well an application can deal with user traffic. By putting a repeated scenario on an application or site, it is likely to analyse breaking points and assess projected behaviour. In particular, Performance testing is performed to identify reliability, speed, scalability, responsiveness and stability of the software.

This is why performance testing is so crucial to a well-rounded QA strategy— checking an application’s performance, ensuring consumers are experiencing acceptable load time, and site speed is foundational to high-quality software.

Importance of Performance Testing

1.     Quick functional flows matters

Every end user of Software expects that each transaction s/he makes should be completed quickly, or take less time. Performance Testing plays crucial role in the same.

2.     Capacity Management

A performance test gives inputs on whether hardware or production configuration needs any improvement, before a new software is released on a live environment.

3.     Software Health Check-up

A performance test helps check the health of any software, and gives inputs for additional fine-tuning.

4.     Quality Assurance

A performance test also inspects the quality of code written in the development life cycle. It is a crucial part to identify if the development team needs special training, etc.  to create more fine-tuned code.

Now that you clearly know the importance of Performance testing, finding the bottleneck should be your next goal.

In a complex system, built with many pieces like application servers, network, database servers and many more there are high chances of you facing a problem. Let us discuss about the possible Bottlenecks.

What are Bottlenecks?

Performance bottlenecks can lead an otherwise functional computer or server to slow down or crawl. The term “bottleneck” can be used for both an overloaded network and the state of a computing device where any two components at any given time do not match pace, thus slowing down the overall performance. Solving bottleneck problems usually results in returning the system to operable performance levels; yet, addressing bottleneck fix involves first identifying the underperforming component.

Here are four common causes of bottlenecks

CPU Utilization

According to Microsoft, “processor bottlenecks occur when the processor is so busy that it cannot respond to requests for time.”  Simply put, these bottlenecks are a result of an overloaded CPU that is unable to perform tasks in a timely manner.

CPU bottlenecks appear in two structures:

  • a processor running at more than 80 percent volume for a prolonged period, and
  • an excessively long processor queue

CPU usage bottlenecks regularly originate from the lack of a system memory and constant disruption from I/O devices. Settling these issues includes improving CPU power, including more RAM, and enhancing programming coding proficiency.

Network Utilization

Network failures happen when the correspondence between two devices comes up short on bandwidth or processing capacity and is unable to finish the task rapidly. According to Microsoft, “network bottlenecks occur when there is an overloaded server, an overburdened network communication device, and when the network itself loses integrity”. Solving network usage issues normally includes adding or upgrading servers, and upgrading network hardware like hubs, routers and access points.

Software Limitation

Often problems related to performance occurs from within the software itself. At times, programs can be designed to deal with just a limited number of tasks at once, this makes it impossible for the program to use up any extra CPU or RAM assets even when they accessible. Furthermore, a program may not be written to work with numerous CPU streams, thus only using a single core on a multicore processor.

These issues are settled through rewriting and fixing software.

Disk Usage

The slowest segment inside a PC or server is generally a long-term storage, which involves HDDs and SSDs, and is usually an inevitable bottleneck. Additionally, the most rapid long-term storage solutions have physical speed limits, making this bottleneck cause one of the most troublesome ones to investigate. In most cases, disk usage speed can develop by reducing fragmentation problems and increasing data caching rates in RAM. On a physical level, you can solve insufficient bandwidth problem by moving to faster storage devices and expanding RAID configurations.

High-level activities during Performance Testing

Test Coverage

Test coverage includes a colossal ability to cover all functionalities while conducting performance testing. Although, the scenarios must be exhibitive of different parameters, you can attempt automating key functionalities by assembling many scenarios. User data must be projected properly, as there would be several users using the system in their own context.

Non-Functional Requirements

Functional as also non-functional requirements  hold equal importance in performance testing. Functional requirements are far more specific and contain within them input data types, algorithms, and functionality to be covered. The real challenge is identifying less specific non-functional requirements- some of which are  stability, capacity, usability, responsiveness, and interoperability.

Performance Test Analysis

Analysing the performance test results is the most challenging and key task in performance testing. It requires you to have detailed knowledge and good judgment to analyse reports and tools. Moreover, you need to regularly update the tests based on the situation.

Conclusion

Proactive Performance testing efforts help customers get an early feedback and assist in baselining application performance. This in turn ensures that cost of fixing the performance bottlenecks at later stages of development is drastically reduced. It is always easier and less costly to redesign an application in its early stages of development than at a much later stage.

This also makes sure that performance bottlenecks such as concurrency, CPU or memory utilization & responsiveness are addressed early on in the application life cycle.

Nitor excels at evaluating  the performance of different technology& domain applications. It has well defined processes & strategies for baselining the application performance.

Nitor TCoE has expert performance testers who are capable of executing the performance engagement with close coordination with various stakes holders. Nitor performance testers are highly skilled in carrying out performance testing activities through open source tool or Microsoft tools set.

For more information, please contact marketing@nitroinfotech.com

Performance Engineering – Ensure Reliable, Scalable and Seamless Application performance

Being a developer involves a lot more than just coding. As extremely distributed applications turn out to be more mind boggling, developers need to guarantee that the end product is easy to understand, secure, and as scalable as possible. With the correct resolution, software teams can categorize possible performance issues in their applications prior in the development cycle and make steady astounding fixes.
Everything from systems administration, frameworks, running a cloud infrastructure, to assembling and analysing more UX information requires your software teams to fuse solid testing methods throughout your application’s development stage.
Effective performance engineering is the way to go forward. Performance engineering does not allude just to a particular role. For the most part, it alludes to the arrangement of abilities and practices that are systematically being comprehended and embraced across organizations, to focus on accomplishing more elevated level of execution in technology innovation, in the business, and for end users.

Why is Performance Engineering important?

Performance engineering entails practices and abilities to build quality and superior execution throughout organization, including functional necessities, security, ease of use, technology platform, gadgets, outsider administrations, the cloud, and more. The goal is to deliver better business value for the organization by discovering possible issues early on in the development cycle.
Performance Engineering is a vital part of software delivery, yet many IT organisations find it an expensive and a challenging thing to do. Despite big performance failures that have been making continuous headlines, Performance Engineering has been unsuccessful in getting the attention and budget spending it deserves in many companies.

How to make the most of performance engineering?

Here are things to keep in mind when incorporating the performance engineering process into your model.

1. Build a Strategy

Building a Performance Engineering approach is a vital part of the process and you need to be sure about how to align it into your organisation and delivery model.
– Identify the SMEs and the touchpoints that you will require in your development lifecycle.
– Comprehend what are the quality gates and in what capacity they will be administered.
Always remember that it all starts with the requirements. If your product owner recognizes what level of performance they want from the system, then it gets easier for engineer to meet the system requirement.

2. Plan the Costing

One thing is for sure, it takes a good sum of amount to build a high-end performance engineering practice. As you are building up your execution guide, you may need to experience various spending cycles with a specific end goal to get all the infrastructure and tools ready.
– Remain solid and positive
– Utilize the failures which organizations faced in the past to persuade the stake holders of the significance of Performance Engineering

3. Classify Crucial Business Workflows

If you do not have information about the right tools then get in touch with the vendor as it can turn out to be costly and time-consuming.

Always remember it is better to spend time on creating workflows that are critical to the business and that have the maximum throughput.

4. Find the Baseline and Test Regularly

The next stage is to benchmark the performance pattern with an arrangement of execution tests. These test can be used on numerous occasions.

– Set up a history of your production runs marked by trends to check for patterns in framework execution. In an ideal scenario, this needs to be done in every release and every integration. If the trend examination can be automated as part of a CI/CD process, nothing like it.

5. Use the best Tools and Hardware

You will require the best possible APM, diagnostic and testing tools for Performance Engineering. It’s imperative that you distinguish things you’ll require and those you won’t, to legitimately run tests and analyse bottlenecks.

Production-like settings are usually costly. Preferably, you’ll have one for your Performance Testing in any case. If you are testing frequently with each deployment, then the pattern in any case point to a bottleneck that the engineers need to be vigilant about.

6. Have Data Strategy in place

As you will test frequently, you should have the capacity to make test information rapid and effective. It is imperative that the information you have is alike to the production environment. Remember, if you are not using representative data set then query plans will be different.


What are the Business Benefits?

As you can clearly see, the above steps are vital when it comes to incorporating a performance engineering process into your business model. These steps ensure that your organization benefits out of it.

Listed below are some of the benefits of performance engineering from an organization’s perspective:
1. Decreased burden: Reduced vulnerability of applications when the anticipated load is high

2. Optimal utilisation of resources through performance engineering: The infrastructure may be over-provisioned or under, PE lets us know the utilisation graphs and helps in making strategic decisions.

3. Guaranteed support: Ensured level of commitment for an application to perform in the given supported criteria

4. Future ready: Helps in taking future decisions for scaling the applications

5. Increased adaptability: Helps in determining the application design and in case if you want to do incremental changes in the applications

What can we conclude?

It is quite clear that performance engineering helps in benchmarking the application performance and allows organizations to identify all business-critical scenarios for performance testing. Additionally, it helps to determine the extent of availability and reliability of the application, while instilling mechanisms to constantly advance application performance.
In short, Performance engineering should be a priority before releasing any software or an application. It should be executed early on in the development phase to catch more bugs in advance and increase user satisfaction while saving you time and money down the line.
Nitor possesses proficiency at providing exquisite user experience through reliable application performance. It encompasses various frameworks and tools in order to test, monitor and streamline performance and optimise infrastructure cost.

To know more please drop us email at marketing@nitorinfotech.com