How Performance Testing will evolve in 2024
How Performance Testing will evolve in 2024

Revolutionizing Performance Testing: Embracing Change in 2024

As we step into 2024, the dynamism of the digital world continues to shape the way applications are developed, deployed, and maintained. This blog explores the key trends, challenges, and transformations that are redefining performance testing in 2024, paving the way for more efficient, accurate, and future-ready testing practices. A performance test examines an application’s ability, speed, scalability, and responsiveness under a specific amount of load. It is also known as load testing. For performance testing, there are several objectives: computing processing speed, analyzing application throughput, network consumption, data transfer velocity, maximum concurrent transfers, workload efficiency, memory usage, etc. Performance testing is regarded as a subset of performance engineering. Engineers can deliver code with confidence by performance testing applications. Because of this, developers and QA devote a great deal of time and resources to testing their code. Testing isn’t an isolated activity. It adapts to engineering needs. Testing shifted away from the Center of Excellence with the move from waterfall development to agile delivery. To improve efficiency and increase coverage, test automation was introduced. As the need to democratize testing grew, open-source testing projects flourished. Testing practices need to change with the changes in modern development and the digital transformation enterprises are experiencing, from legacy systems to cloud-native microservices. Other trends and global changes – such as privacy regulations, cybersecurity threats, the digitization of customer and supply-chain interactions, and increased leadership attention to digital infrastructure – also have an impact on testing methods.
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What do we mean by 360-degree API Testing and Monitoring?
What do we mean by 360-degree API Testing and
In the past, testing was done only at the GUI level and at the end of the development process. When a developer finished their work, they handed it over to the quality assurance team. Because the engineers were short on time, they decided to test the code at the highest level possible: the GUI. Testing at a ground level, such as the API level, is required in the Agile era. Even developers can do it on their own. API testing can even be done before development is finished, thanks to “API contracts.”  This means that developers can use pre-written tests to validate their code.
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QA Checklist for Black Friday
Black Friday is approaching quickly. Expect high volumes of digital shopping and high stakes for delivering exceptional shopping experiences in the coming year. This checklist provides an overview of the most important processes that your team should test in order to prepare your application. You can avoid outages, angry tweets, and thousands of dollars in potential revenue by using this checklist.
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Unleashing the Power of Real Device Testing (RDT)

Introduction:-

In today’s fast-paced digital world, where mobile apps and websites play a crucial role in connecting businesses with their customers, the importance of thorough testing cannot be overstated. As consumers’ expectations for seamless and high-quality user experiences continue to rise, developers and quality assurance teams are faced with the daunting task of ensuring their applications work flawlessly on a wide array of devices and in real-world scenarios.
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DevOps Best Practices To Ensure Successful Testing

Introduction

DevOps is best defined as a business effort to improve communication and collaboration between development and operations teams, in order to increase software deployment quality and speed. There are profound implications for teams and the organizations they work for with this new way of working. From 2020 to 2027, the global DevOps market is expected to grow at a healthy CAGR of 22.9%. The reason this software development and delivery model has such a bright future is that it has already achieved impressive results for CTOs worldwide. Using DevOps, development and operations teams will no longer be siloed in order to enhance their collaboration. DevOps provides many business and technological advantages. For example, it can shorten development cycles, increase deployment speed, reduce time to market, and more. However, implementing DevOps requires an organizational-wide cultural shift. For a smooth transition to DevOps over time, here are some tips and principles you can follow. The true value of DevOps and testing Professionals lies in identifying issues in production & pre-production to reduce IT downtime, increase business revenue, and uncover insights that lead to a greater customer experience. Because in the end, that is how your customers & users remember you, by their online experience. Derive everyday value from your application’s monitoring via Cavisson’s unified APM solution.
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Mastering Application Load Management by Performance Engineering
Mastering Application Load Management by Performance Engineering

Introduction

It is impossible to know how your system will perform when faced with expected or unexpected demands without comprehensive performance testing, which includes both load and stress testing. The best way to understand how components of a system behave under a given situation is to ensure an exhaustive test coverage covering all aspects of application performance under varying loads and scenarios is designed to test your applications thoroughly.

To establish the benchmark behavior of your application ecosystem, you must test the performance of your application and its underlying dependencies and infrastructure. In performance testing, you aim to meet or exceed a number of industry-defined benchmarks.

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Best CI/CD Practices for Better Code Quality
Best CI/CD Practices for Better Code Quality
Continuous integration and continuous delivery, also referred to as CI/CD, are a tradition, set of basic concepts, and set of practices that application development teams use to deliver code changes more frequently and reliably. Continuous integration is a coding philosophy and set of techniques that encourage development teams to commit tiny code changes to a version control repository regularly. Because most current applications include writing code on a range of platforms and tools, teams want a standardized method for integrating and validating changes. Continuous integration allows developers to build, package, and test their applications in an automated manner. Developers are more likely to commit code changes more frequently when they have a consistent integration procedure, which leads to improved cooperation and code quality. Continuous delivery is a software development approach that automates the infrastructure provisioning and application deployment process by combining it with continuous integration. After code has been tested and built as part of the continuous integration process, continuous delivery takes over in the last stages to ensure it can be deployed to any environment at any time. Everything from infrastructure provisioning to application deployment to the testing or production environment can be covered by continuous delivery. The program is constructed in such a way that it may be deployed to production at any moment with continuous delivery. Then you may either manually trigger the deployments or switch to continuous deployment, where the deployments are also automated.
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Load Testing Tips
Load Testing Tips

A load test is a technique used to measure the response of a system under various load conditions. It assists in identifying the maximum capacity of an application and also any bottlenecks and finds out which element is degrading.

Load testing is a crucial component of performance testing that is gaining immense importance in today’s digital-driven world. Performance testing gauges whether a web application can handle high volumes and patterns of traffic before it goes live. It is a practice in which the performance of the system is tested under peak traffic conditions for web applications and APIs. By simulating the concurrent access of multiple users to an application, testers create a model of the expected usage of the application.

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Building Resilient Applications – Popular Design Principles & Using NetHavoc to Test Efficacy

Introduction

For microservices, it’s crucial to conduct resiliency testing to ensure that the system can recover from failures and keep operating as expected. Gartner reports that on average, IT downtime costs $5,600 per minute, with the cost of an hour’s downtime ranging from $140,000 to $540,000 depending on the business. A survey shows that 98% of organizations estimate the cost of a single hour of downtime to be over $100,000, while 81% say it costs over $300,000. Any disruption or downtime in these systems can lead to significant financial losses, damage to the organization’s reputation, and loss of customer trust. This is where Cavisson, a leading enabler for Fortune 100 organizations in their quest towards digital excellence, comes in. One of the key ways in which we help businesses reduce their IT downtime costs is via our chaos engineering tool, NetHavoc. This blog will explore some of the most popular design principles for ensuring resilient microservices based applications and how you can leverage NetHavoc to test their effectiveness.

What is resiliency testing?

System downtime is no longer an option. If a user is unable to access an application once, they are unlikely to use it again. Resilience is the system’s ability to gracefully handle and recover from such failures while still providing an acceptable level of service to the business. In a nutshell, it assesses the system’s resilience, introduces a flaw, and ensures that the system fully recovers. 

What are microservices?

Software architecture style that involves breaking down a large application into a set of smaller, independent services that can be developed, deployed, and maintained separately. Each service typically has a well-defined interface and communicates with other services via lightweight protocols such as HTTP or messaging systems like RabbitMQ or Kafka. Microservices are designed to be highly modular, scalable, and resilient, and are often used in large, complex systems that require a high degree of agility and flexibility. By breaking down an application into smaller, more manageable components, microservices allow developers to make changes and updates to specific parts of the application without affecting the entire system, leading to faster development cycles, better fault tolerance, and easier maintenance.

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