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  • Performance testing metrics

    Key Performance Testing Metrics and why it matters

    "Key metrics to track in Performance Testing: Did you know that over 59% of Fortune 500 companies experience a downtime of 1.6 hours every week? And it is costing your business a lot. Considering a Fortune 500 company with 10,000 employees pays $56 per hour, the cost to the company would be $896,000 weekly, translating to $46 million per year.In the age of tech-savvy customers, software applications are expected to perform every function accurately, quickly, without any hiccups. Today, everything revolved around application performance. Why Performance Testing Is Important? Imagine you are browsing an e-commerce website, scrolling through the website, choosing a product, and then, nothing happens. Is it heavy traffic? Is it a low internet connection? Why is the product page not loading? And just like that, the eCommerce website lost a potential customer. Load time is one such factor of performance. Many other performance testing factors matter to best-in-class application performance. Before we get into the nitty-gritty of performance testing metrics, let’s get a quick overview of performance testing first. What is Performance Testing? Performance Testing ensures the quality of the software application by eliminating the possible performance bottlenecks. The outcome of performance testing helps in finding the gaps between the actual result and the expected environment. To achieve maximum success, it is important to define key criteria that measure and compare the actual output of the software application. Here, key performance testing metrics come into play as they are the baseline for performance tests. The information obtained from the testing metrics helps in decreasing the error rate and provides excellent quality of the application. Monitoring the right parameters helps you understand the areas that require increased attention and find innovative ways to improve the application performance. What Are Performance Testing Metrics? Metric is a measurement gathered during the process of quality assurance. The performance metrics are used to calculate key parameters of performance and find out the weak areas of the application. In a nutshell, these metrics show the response of software to multiple user scenarios and handle the user flow in real-time. It helps in getting the clear output of the activities and finding out the areas of improvement. Why Are Performance Testing Metrics Important? Since performance testing plays a key role in the success of software applications, it is important to identify and evaluate the key metrics to achieve the best results. To achieve performance excellence, you need to define the milestones. Then, the parameters need to be measured that fall under the set milestones to estimate the output and compare it to the expected results. Therefore:Metrics help in tracking the project progress.They act as a baseline for the testing activities.With testing metrics, the quality assurance team can define the issues and evaluate them to find the solution.Tracking the metrics helps you to compare the test results and estimate the impact of code changes.What Includes in Performance Testing Metrics?Now when you know that performance testing metrics are a necessity for a successful software application, the next question is - what metrics need to be tracked? Well, it depends on the type of software, its core features, and business goals. So, here is the list of performance metrics with universal parameters you should track for every product. Response time: The time that passes from the moment of server request until the last byte is received from the server is considered as response time. This performance testing metric is measured in kilobytes per second (KB/sec).Requests per second: When the client application forms an HTTP request and sends it to a server, a response is generated and sent back to the client. The total consistent requests processed per second is a key performance metric - requests per second (RPS). These requests can be from multiple data sources including multimedia files, HTML pages, XML documents, JavaScript libraries, etc.User transactions: The user transactions are a sequence of user actions via the interface of the software. By comparing the expected time with the transaction time (number of transactions per second), you can evaluate the load performance of the software application.Virtual users per unit of time: This performance testing metric helps in finding out whether the software performance meets the expected requirements. It helps the QA team in estimating the average load and software behavior in different load conditions.Error rate: This metric evaluates the ratio of valid to invalid answers over time. Usually, the error occurs when the load exceeds its capacity. And the results are calculated in percentage.Wait time: This metric is also called average latency. It indicates how much time is passed from the moment a request is sent to the server until the first byte is received. Don’t confuse it with the response time - both consider different time frames.Average load time: A study indicated that over 40% of users expect to abandon a website if it takes over 3 seconds to load. This performance testing metric is the evaluation of the average time taken to deliver the request. It is one of the most important parameters to ensure the best product quality. Peak response time: This metric is similar to the average load time but the key difference is that the peak response time indicates the maximum time taken to fulfill a request. And it also shows that at least one of the components of software is problematic. That’s why this parameter is much more important than the average load time. Concurrent users: This metric is also known as load size and indicates the number of active users at any point.  It is one of the most widely used metrics to understand the software behavior under a specific number of virtual users. This performance testing metric is different from request per second as the quality assurance team does not generate consistent requests.Transactions passed/failed: This metric expresses the percentage of passed or failed requests against the total conducted tests. It is as critical as the load time for users and considered as one of the most evident metrics to ensure product performance.Throughput: Throughput shows the used bandwidth within the testing process. It indicates the maximum amount of data flowing through the network connection within a given amount of time. It is measured in KB/second.CPU utilization: This metric evaluates the time taken by the central processing unit to process the request at a given time.Memory utilization: This metric indicates the resources taken to process a request, in context to the physical memory on a specific device used for the tests.Total user sessions: This metric indicates the intensity of traffic over time. For example, the number of user sessions per month, depending on the time frame of the product. This data can feature the transferred bytes and the number of page views.Performance Testing Metrics: Parameters MonitoredEvaluating the performance of software, website, or application against predefined conditions needs the presence of key parameters under the performance testing metrics. The most important parameters monitored during the performance testing process includes:Processor Usage – The time spent by the processor to execute the non-idle threads.Disk time – The amount of time the disk is engaged in executing the request.Bandwidth – It shows the usage of bits per second by the network interface.Memory usage – The amount of physical memory used to process the requests.Private bytes – The number of bytes allocated to a specific process that can’t be shared among other processes. It measures memory usage and leaks.Page faults/second – The rate of processing the fault pages by the processor is evaluated. These page faults occur when the process requires code from elsewhere and retrieved from a disk.CPU interrupts per second – It is the average number of hardware interruptions received and processed by the processor each second.Disk queue length – It is the average number of requests lined up for the selected disk within a specific interval.Network output queue length – It is the length of output packets lined up in packets. Anything above two means that bottlenecks need to be handled.Network bytes total per second – It is the rate of sending and receiving the bytes on the application interface.Response time – It is the total time from the request until the first character of the response is received.Throughput – The rate of receiving the requests on a computer or network per second.Connection pooling – The number of user requests met by the pooled connections. More requests met by connections in the pool lead to better performance.Maximum active sessions – The total active number of sessions at once.Hit ratio – This evaluates the number of SQL statements handled by the cached data instead of expensive operations of input and output. It helps in resolving bottlenecking issues.Hits per second – The number of hits on the web server during every second of the load test.Database locks – Locking of databases and tables that are monitored and tuned carefully.Top waits – It determines the wait times that can be reduced when dealing with the retrieval of fast data from memory.Thread counts – It measures the application health by the number of active threads.Garbage collection – It evaluates the returning unused memory back to the system to increase the application efficiency. Types of Performance Testing The success of a website or application depends on its performance. This necessitates different types of performance testing to ensure best-in-class performance. The focus areas of performance testing include speed, scalability, and stability. Read on to know the various types of testing to validate the application performance against performance testing metrics.Load testing: This testing evaluates the performance of the system as the workload increases. The workload can be concurrent transactions or users. It consistently monitors the response time and system stability when the workload increases. Stress testing: This is also called fatigue or stress testing. It is meant to measure the system performance outside of the parameters of normal working conditions. The application is tested with more transactions or users that can be handled. This testing helps in understanding the point where software can fail and how it can be recovered.Spike testing: This type of testing evaluates the performance of software when the workload is increased repeatedly and quickly. As the name indicates, it measures the application performance when the workload is beyond usual expectations for a shorter time.Endurance testing: Endurance testing is also known as soak testing. It evaluates the software performance with a normal workload over an extended time. It aims to check the system problems such as memory leaks.  Scalability testing: This testing process determines the handling of increased workloads. It can be determined by adding to the data volume or user load gradually while monitoring the performance of the system. Moreover, the workload may stay the same while resources like memory and CPUs are changed.Volume testing: It is also known as flood testing as the test floods the data in the system. Volume testing determines the efficiency of software performance with a large amount of data. How to Track Testing Metrics Correctly? Tracking the metric just for the sake of testing is not a good idea. Metrics are not just the numbers to be written in the project reports. Like any other process of quality assurance, the performance testing metrics should be capable of answering specific questions and test hypotheses based on the business goals. In this case, metrics can drive positive changes. Below are the key principles to keep in mind if you want to use metrics for maximum benefits. Specify the business objectives of the client to come up with the performance requirements. Every feature should have a specific success metric - a single parameter or a range of parameters.Metrics should be correlated with the value delivered to the user - stability, functionality, speed, etc.Run multiple performance tests to track metrics, determine average indicators and get consistent findings. The individual units of software are tested separately. Multiple checks on services and databases should be done before joining them into a single application. Measure Key Performance Metrics Easily with QAonCloudAs you get started with the performance testing process, QAonCloud has all the tools and processes you need to ensure the flawless performance of your application. We help you to quickly get started and:Save resources by automating the performance testing process.Save time by building load tests from pre-configured templates in just a few clicks.Understand the performance of the server by visualizing the effects with real-time monitoring.Analyze the results by collecting advanced performance testing metrics and benchmarking them.Reuse the existing test cases for increased efficiency and performance of the application.By measuring performance testing metrics, you can avoid costly downtime during peak usage and ensure the best user experience. QAonCloud can make the whole process easier and better from start to finish. Schedule a FREE DEMO with our performance engineers to walk through all the features and benefits of our testing solution. Get started with QAonCloud today."

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  • scalability testing guide

    A step by step guide to scalability testing: Setup, Execution, and Reporting

    "Scalability Testing is a type of load testing which is also non-functional software testing. This testing methodology involves various applications and infrastructures that are studied for performance under increased or decreased workload. This testing measures the applicant's ability or performance and deploys its resources to ensure a great user experience. This test demonstrates the system's ability to adapt to changes. It ensures that the system adapts to the requirements and offers smooth performance for users while optimizing development and various operational costs. Scalability testing is performed on a system that can expand until it fails. The use of this testing helps in presuming a system's weaknesses and vulnerabilities. Furthermore, It pinpoints the exact reasons for a system's failure during scaling up or down. How scalability testing is performed When a developer develops an application, he is only aware of how an application would work in the ideal scenario compared to the real world. With Scalability testing, testers make it easier to handle any defects and help in keeping apps running smoothly. It determines the scale of the real-time potential & full potential of a system. The testers usually draft test scenarios to force the system to meet new requirements. Moreover, they execute the test at regular intervals, document & record the results to detect errors. The obtained data & actionable insights are communicated effectively with the relevant stakeholders. Design a comprehensive test script that accurately depicts the users' actions and behavior. Define the variable data that is implemented in the testing process because scalability testing involves data-driven tests. All the data should be accurate for best results; therefore, the run-time data used to interact with the applications during the testing should also be as precise as possible. Step By Step process Define a process that can be iterated for executing scalability tests throughout the application tenure. Determine the domain for Scalability. Shortlist the software tools needed to run the load test Set the testing environment & configure the hardware to execute scalability tests. Plan the test scenarios (demo) as well as Scalability Tests Create and verify the visual script. Create and verify the load test scenarios. Execute the tests. Evaluate the results. Generate required reports. What constraints/issues of mobile application are tested in scalability testing Smartphones coupled with mobile apps usage has increased rapidly and has inevitably caused considerable problems for developers. Every mobile app's capability, design, and reliability has raised the bar for every user. The users no longer accept simple or substandard mobile apps; therefore, Organisations are putting a robust automation framework to face impossible challenges. Fragmentation, Usability, and Connectivity are measured in developing a system or an app for mobile. App performance varies significantly between various networks so that users can enjoy flawless performance. Scalability Testing strategy balances the defects during the development of the mobile apps treating usability as a critical priority without neglecting functionality. What to test in Scalability Testing? The prominent Scalability Testing Attributes are as follows: Response Time Screen transition Throughput Time Analysis Performance measurement with several users Network Usage CPU / Memory Usage Web Server Response Performance measurement under load. Benefits of scalability testing Many benefits are observed when Scalability Tests are implemented into the development and software testing process. 1. Improves User experience Advanced technology has changed users' expectations and dynamics forever. Therefore, testing scalability helps determine user experience under heavy load when the system is subjected to the stress of upscaling. Scalability Tests help check responsiveness, overall performance, improve application performance metrics, and boost customer experience. 2. Lower Infrastructure Cost During testing an application or a system, it is essential to observe the expenses involved with upgrading or downgrading. Scaling up apps increases the cost. Even with cloud computing, containers, and serverless computing, one must consider the expenses as they scale up. Testing frees the resources to mitigate the expenses accordingly. 3. Faster time to Resolution with Lower Expenses Prioritizing Scalability Testing will save money, fix bugs, and automates systems. Therefore, correcting errors in the testing phase is easier and cheaper than in the production phase. Fixing defects in a production phase cost more when compared to a testing phase. It improves the system by making it sustainable to handle the burst load and sudden increase in traffic with little or no notice. Popular scalability testing tools Scalability testing tools depend on the application the user wants to test. There are various tools available in the market, and a few tools are as follows: LoadUI Pro LoadNinja Apache Jmeter Load View Neo Load Load Impact Blitz Loader Every Scalability testing tool has its unique features to test the Scalability of an application. However, every organization is bound by few environmental factors that are necessary for an application. Such factors can be affected while choosing a scalability testing tool to test a system. Testers need a reliable test tool to handle heavy load under various scenarios created. Approaches of Scalability Testing There are two approaches to Scalability testing - 1. Horizontal Scaling: Physical machines and resources are involved in reducing the load on each device or resource. It consists in increasing the number of nodes instead of increasing the capacity; therefore, the load is distributed between the old and newly added resources. Google, Yahoo, Facebook, Amazon, etc., perform the Horizontal Scaling because they have large projects/ applications running in a multi-node, distributed environment. They require a high level of computing and can be achieved using clustered, load-balancing, and distributed file systems. Theoretically, it is easier to perform horizontal scaling by adding the resources in the existing system, but practically, it is very tough to Scale-Out the application. 2. Vertical Scaling: Vertical scaling increases the power of machines in CPU, RAM, Disk to the server. Vertical scaling can be like adding more CPUs to the same single server. With the increase in load, the system's performance starts going downhill, but to maintain the efficiency of the system, vertical scaling is applied. Vertical scaling is applied for small applications where the load's performance can improve by increasing the capacity and size (scale) of already used resources. In vertical scaling, data is stored on a single node in one place, and the load is divided between several CPUs and memory through multi-node. Advantages and Disadvantages of Scalability Testing Advantages Below provided are some of the advantages of Scalability testing: Scalability testing determines the end-user experience under the specific load, and corrective measures are taken in advance to rectify any problems and make the application or system more scalable. Response time, Network Usage, CPU Usage, etc., can be used to determine web applications' web response and limitations. Rigorous testing is conducted on a system before releasing it into the production environment to reduce the risk of a massive loss of money and the company's reputation due to the bad performance of an application. Scalability testing helps uncover multiple defects during the testing phase. It is economical if detected in the testing environment rather than the production environment. Effective tool utilization tracking happens when the testing is deployed. Disadvantages The testing environment produces more defects due to various issues in a system. Therefore, the production environment is different from a testing environment. Deploying advanced testing tools involves much more finances causing an over budget of the project. Time spent on every test case increases with detailed testing procedures. Therefore, deploying a scalability testing process may sometimes cause a delay in meeting the project's deadlines. The wrong testing process can lead to failed test cases in the testing phase. The test scenarios and test scripts need to be changed, leading to a waste of time making unnecessary changes. Defects cannot be detected in a narrow test window; therefore, critical defects remain undetected, resulting in project failure. Final note Scalability testing is desirable in software testing process because it helps avoid any issue or problem in daily business operations. It is a part of testing process in most software development teams in order to test how the application handles increase in user traffic, data volume, and transaction counts. It includes a separate team of professionals and testers who are resourceful with strong analytical skills. It differs from organization to organization and from application to application. To sum it up, any application or infrastructure needs to be versatile enough to withstand the ever-growing dynamic requirements of the users. Implementing Scalability Testing helps in identifying fluctuations, upwards or downwards, performance metrics, or site degradation. Using Scalability Testing regularly helps in meeting business goals and smooth functioning. There are no shortcuts to ensure complete customer satisfaction and brand awareness while reducing any infrastructure costs at the same time. QAonCloud Scalability testing tools are flexible and robust enough; they perform the test most efficiently with solid reporting and analytics implementation."

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  • API Testing guide

    API Testing Strategy and Documentation

    "API Testing Strategy: 2020 has already earned the title of “disruption decade”. Most organizations around the globe are identifying new ways to survive and thrive in the new normal. Whether your organization has started the digital transformation journey years ago, or you have just started, APIs have become the glue of the digital landscape.Don’t believe us?Let the numbers speak.A report by MarketsandMarkets indicated that the global API testing market size is expected to grow from USD 384.3 Million in 2016 to USD 1,099.1 Million by 2022, at a compounded annual growth rate of 19.7% in 5 years. Undoubtedly, investing more effort and time in API testing strategy is a must-have to dominate the market with good performance, reliability, and security.APIs are everywhereFrom online shopping to business applications, APIs are used everywhere. Currently, there are hundreds and thousands of APIs working for social messaging, payments, ecommerce, finance, and many other categories covering everything we do with the applications. Real-world examples of API testingOrdering in restaurants: You visit a restaurant, sit at your table, and place the order. Now, the waiter will come and take a note of your order. So, you are requesting the order from the waiter and the waiter is responding with the order he gets in the kitchen and serves you. In this case, the interface between you and the kitchen is the waiter. Similarly, API is an interface that carries out the application requests and ensures that it is getting done. Ride sharing app: Another example is UBER. Once the application is loaded, it provides you the ability to log in and continue with Google and Facebook. In this case, third-party applications like Google and Facebook are exposing a certain level of user information. Uber can also share locations by using Google Maps. It means that there is an agreement between Google/Facebook/Maps and Uber through API integration.Travel booking: Another most common real-life example is the travel booking system. Take Make my trip for example. You enter the destination, select the dates, click on search, and you get the results from different airlines. How Make my trip is communicating with all these airline websites? That’s all through APIs. It enables the Make my trip site to expose some level of information from multiple airlines and display it to the end user.What is API testing?The Application Program Interface (API) is a set of protocols, processes, tools, and routines for building and maintaining critical software applications. It is a user interface that allows software applications to communicate with other applications and is used while programming the components of the graphical user interface (GUI). API testing strategy assures the quality of the application that includes sending API calls, getting the desired output, validating the response of the system against the defined input parameters, inaccuracy of data and data formats, error codes, and HTTP status codes. The testing process starts at the earliest stage and continues until the production release. SOAP vs REST API Testing APIs can utilize different architectures like SOAP and REST to transfer the data from the server to the client. Although REST is quite popular these days, it is important to understand both styles of communication. Here is a comparison table to highlight the key differences between the two API styles. API Styles SOAP (Simple Object Access Protocol) REST (Representational State Transfer) Design Standardized protocols with predefined rules Architectural style with flexible guidelines and recommendations Approach Function-driven Data-driven Caching API calls cannot be cached API calls can be cached Performance Requires high-level computing power and bandwidth Requires minimal resources Security WS-Security with SSL support Supports SSL and HTTPS Benefits High extensibility, security, and standardized system High scalability and flexibility, browser-friendliness, better performance Drawbacks Less flexibility, poor performance, more complexity Less security Types of API Testing APIs have become the center of software development and a source of connecting and transferring data and logic across disparate applications and systems. While there are specific types of tests that can be conducted to improve the efficiency of API testing strategy, most tests fit broadly into one of these categories. Let us explore the types of testing and their testing software stage. Type of Testing Stage of software Unit testing and integration testing Development Stage Performance and Load Testing As early as possible as these steps take time Runtime error detection and security testing Ongoing processes Interoperability and fuzz testing Testing stage Validation Testing User Acceptance Testing Unit TestingThe tests are written to run with each build of the application automatically. It is written close to the code and should pass while running the build of the application.Integration TestingAPIs work to integrate various parts of a system and all of this integration requires a relevant testing process. Integration testing ensures that the application takes the correct parameters with correct constraints while logically sanitizing the incoming traffic.Performance testingPerformance testing is a non-functional process that is often overlooked. Performance testing takes everything into account including the traffic spikes, multiple heavy processes running simultaneously, and interfering with one another.Load testingLoad testing is similar to performance testing as the primary goal is to emulate production without creating any traffic spikes. The production should be emulating a constant steady stream of traffic at a normal rate. It ensures that the APIs do not have any memory leaks or other similar defects that can cause issues after running for a prolonged time.Runtime error detectionWhile conducting all of these tests, it is important to ensure that runtime error detection is enabled. This testing allows the APIs to report any defects that occur while it is in process.Security testingThis testing is very important but needs to ensure that proper testing occurs based on risk analysis. Security testing focuses on several aspects of the API testing strategy. The entry points of APIs need to be taken into account along with the data flow and shadow APIs. Interoperability testingWorking with third-party software providers cannot be taken for granted. It is important to create a section in the testing process that describes the overall testing process. The priority and severity of potential defects need to be discussed based on prior experiences and defines how API testing occurs when the APIs interact with third-party applications.Fuzz testsBefore validating the application, it is important to fuzz all the endpoints of APIs. In the fuzzing process, the random data is sent to the API endpoints and the results are inspected carefully. The server should not crash from this unexpected traffic and should not display any unexpected behavior.Validation TestingThe validation testing ensures that the application meets the business requirements. The test execution results need to match the expectations according to the test plan. The testers will subsequently guide the business users in user acceptance testing under which they ensure the stakeholders execute the pre-built testing scenario and report the deviations.Test cases for API TestingValidation of keys with the minimum and maximum range of APIsVerification of keys. If we have JSON, XML APIs, it is vital to verify that all the keys are coming.Test cases to conduct schema validation of JSON, XMLVerification of response dataVerification of JSON schema validation, field type, and mandatory fieldsValidity of response headers and negative test cases responseVerification of response HTTP status codeVerification of the handling of APIs error codesVerification of data parameters and APIsValidation of response payloadData integrity test casesVerification of chaining requestEnd to end CRUD flowsFile upload test casesCreating API Test scenarios and test matricesIn the scenario testing technique, the individual component tests are assembled into a single sequence. There are two common techniques to obtain the sequence.Review the story of the user to identify the individual API calls.Exercise the user interface to capture the traffic to the underlying APIs.Scenario tests allow you to understand the occurrence of errors and defects by combing the different data points together. For example, a bank employs a series of services to call the financial profile, credit cards, available bank accounts, and recent transactions. Every API call works well individually, but when they are put together in sequence, they start failing. Scenario testing can validate expected behavior when APIs are being used in unexpected ways. To safeguard the application defects, you can create multiple scenario tests with different API combinations. The component tests are the backbone of scenario testing and help in reducing the time spent on the testing process.Check out the most common test cases within the general test scenario groups.Basic positive tests (happy paths) - Checks the basic functionality and acceptance criteria of the API.Extended positive testing with optional parameters - The positive tests are further extended to include additional functionalities and optional parameters.Negative testing with valid and invalid input - In this group of tests, the application is expected to handle the problem scenarios gracefully with valid as well as invalid user inputs.Destructive testing - It is a deeper form of negative testing where the robustness of the API is checked by intentionally breaking the API. For example, sending a huge payload body to overflow the system.Test flowsAPI testing flows involve multiple input sources like databases, HTML, mobile, data files, Telnet/SSH, RESTful APIs, and more. A test automation platform like QAonCloud allows not only testing APIs manually but also to complete end-to-end API-based test flows, schedule and run tests automatically, get execution reports seamlessly. Let’s understand different types of test flows:Testing requests in isolation – Executing a single API request and checking the response accordingly. Such basic tests are the minimal building blocks we should start with, and there’s no reason to continue testing if these tests fail.Multi-step workflow with several requests – Testing a series of requests which are common user actions, since some requests can rely on other ones. For example, we execute a POST request that creates a resource and returns an auto-generated identifier in its response. We then use this identifier to check if this resource is present in the list of elements received by a GET request. Then we use a PATCH endpoint to update new data, and we again invoke a GET request to validate the new data. Finally, we DELETE that resource and use GET again to verify it no longer exists.Combined API and web UI tests – This is mostly relevant to manual testing, where we want to ensure data integrity and consistency between the UI and API. We execute requests via the API and verify the actions through the web app UI and vice versa. The purpose of these integrity test flows is to ensure that although the resources are affected via different mechanisms the system still maintains expected integrity and consistent flow.An API example and a test matrixThe below matrix explains the detailed test plan (for manual testing or test automation). The test cases should cover multiple test flows according to the resources, needs, and priorities of the API testing strategy. Let us assume that /users endpoint is a subset of our API, that includes the following API calls. API Call Action GET /users List all users GET /users?name=?{username} Get user by username GET /users/{id} Get user by ID GET /users/{id}/configurations Get all configurations for user POST /users/{id}/configurations Create a new configuration for user DELETE /users/{id}/configurations/{id} Delete configuration for user PATCH /users/{id}/configuration/{id} Update configuration for user API Testing Best PracticesCreate API test cases for maximum possible input combinations of the APIGroup the API Test cases by test categoryInclude the API declarations being called on the top of every testPrioritize the API function calls to make it easier for testersThe selection of parameters should be mentioned explicitly within the test caseEvery test case should be independent and self-containedAvoid the test chaining process in the development lifecycleThe sequencing of API calls should be well planned and performedTake special care of handling one-time call functions like Close Window, Delete, and alikeInclude the API workflows and involve all stakeholders in the creation of the requirements.What is API Documentation?API documentation is a technical content deliverable, that contains the instructions about using and integrating APIs effectively. It is a concise reference manual with all the information required to work with the API such as classes, functions, arguments, return types, functions, and more. The API documentation is made by using regular content creation, text editors, and maintenance tools. While documentation is the basis for a good experience of the developer, it also increases the adoption and usage of the application. API Documentation Technical TipsStandards - OpenAPI specification standard to help you generate documentation. It is language-agnostic and enables automated code generation for API endpoints.Authentication - Explain in detail the security of credentials. A sample authentication code will be helpful.Error handling - Document the communication of error information by API and ways to fix the problems.HTTP requests and response details - List the status codes, types of content, and caching mechanisms.Examples - Give examples of how the API call requests are made and what will be the subsequent action.Parameters - Provide a clear description of every parameter and its values like formats, types, and rules.Start Testing Your APIs with QAonCloud TodayNow when you know that API testing strategy is crucial for the overall success of API product lifecycle. Using the right method and tools allows you to test concurrently, making teams more efficient. Always remember that every application or product will have missing interactions, errors, or defects, but organizations need to provide a highly secure and scalable application. An effective API testing strategy is the most reliable way to achieve this goal. From protecting the users from malicious code to maximizing efficiency, QAonCloud can transform your overall application experience. We provide the most comprehensive API testing automation capabilities while ensuring that the APIs perform as intended, meet the desired timeframes and requirements, and team skills. Ready to get started with API testing and take the digital world by storm? Get a Free consultation to understand how we can help you take your business to new heights."

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  • Importance Of Performance Engineering In The Digital Era

    Importance Of Performance Engineering In The Digital Era

    "Performance Engineering in the Digital Era: After 2020, your business is either digital or does not exist. Yes, it is evident that digital presence has become the key to survival in the current era. COVID-19 has rapidly changed the way we work, communicate, and socialize while leaving us with the challenge of making significant changes in a matter of days. Take a glimpse of COVID-19 driven digital adoption rates. Why is Performance Important For Your products Today, most organizations have accelerated their pace of digital adoption irrespective of their understanding and outlook towards digital transformation in the pre-pandemic times. Although organizations are speeding up their digital initiatives and investing in relevant tools and technologies, there is not enough attention to the performance side of digital initiatives. If digital is a survival requisite, the digital application experience is a necessity for business reputation, resilience, ROI, and customer satisfaction. If an application has an amazing user interface and innovative features but lacks good execution - it is bound to fail.  In a nutshell, digital transformation can be the front-facing need for businesses but performance is the driver that ensures the success of the digital transformation efforts of the organization. The Performance Engineering Perspective of Digital Transformation Gone are the days when software and application testing was all about checking functional bugs. Today, the non-functional elements like load handling, security and vulnerability issues, user experience are on the rise. Whether your team needs to serve more mobile users on an application, or you are shifting from an in-house cloud solution to a third-party solution provider, everything should be well tested, and optimized with the right strategy. What is Performance Engineering? Performance issues just don’t happen. They are designed within the application. Well, that is not because the software engineers are malicious, it’s because they are human beings. They make some assumptions about the software while writing the code. And it is not possible for them to know how the system will perform and where bottlenecks will turn up when they start coding the software. Here the concept of performance engineering comes into the picture. “Performance engineering is all about improving the speed and efficiency of the product while embedding the key performance decisions into design, architecture, and implementation.” The performance engineering process lets you understand the product fall-backs in the very early phase of the software development lifecycle. It allows seamless collaboration between tools, processes, and teams via continuous feedback loops while preventing expensive changes later down the line. A proactive focus will result in saving your valuable time and cost while boosting the value of the product, from business as well as user perspectives. How is Performance Engineering Different from Performance Testing? Key Performance Areas Performance Engineering Performance Testing Time to market Faster as the fallbacks are identified in the early stages. Slower as the testing is performed after the release of the product. Test coverage More time to work gradually as it is a continuous process. Limited validation scenarios due to budget and time constraints. Approach A proactive approach that works with development and testing parallelly. Reactive after other testing levels. Utilization High as the team works in collaboration. Low as different teams work on various tasks and cannot collaborate properly. Early detection of issues High as the issues are identified and resolved during the script development process. Low as issues are identified after the end of all other testing processes. Time dedication No requirement for dedicated time. Dedicated time is required for knowledge transfer as there is no or little collaboration among teams. Why Do You Need Performance Engineering? Software engineers have been stumbling over hundreds and thousands of assumptions since the dawn of programming. For example, ten years ago, an online airline ticketing system offered very limited services. You could only search for flights and buy tickets online, but only if you were on the right browser. Today, everything is so seamless. In addition to purchasing a ticket, you can check-in, book a seat, pay for additional baggage, choose a meal, manage your account, and much more. There is a basic need to support all popular browsers, mobile devices, as well as mobile apps. These new features and frameworks have to work well with the back-end code to manage the system while meeting all the performance requirements. A crash of even a few minutes can cause a loss of thousands or millions of dollars. While finding and resolving the source of error in a complex system can take a lot of time and cost. This means the managed performance of the application and user experience needs to be incorporated throughout the software lifecycle, not only when it is first launched. With a growing number of applications, performance engineering ensures regular testing, as well as on-demand testing to ensure the quality of the existing application as well as every additional integration. The performance engineering methodologies align perfectly with agile processes to address the issues earlier in the development process. Can Performance Engineering Replace Performance Testing? There is a lot more to performance engineering than the testing process. It enables you to understand how all the components of the system fit together, knowing what performance metrics matter, and building the right user experience right from the initial stage. Performance engineering practices are a broad set of processes as compared to testing.  You can easily please customers, support employees, and boost revenues. Here's why performance engineering will never replace performance testing. 1. Vital for the bottom line Did you know that the average cost of network downtime is over $5,600 per minute and amounts to over $300,000 per hour? Until your site is up and running again, there are high possibilities that consider a switch to your competitor. The consistent performance support allows you to safeguard data loss and public embarrassment due to a system crash. 2. Time to monitor performance properly The performance testers lack the support to repair defective environments. While the overall performance is monitored from the initial stage of the development cycle. The performance engineering environment monitors the system to identify the scope of better experience and implement the required changes on a regular basis. 3. Objectivity and independence Just like you would not expect a writer to review their work, you cannot get the design and testing of the software application by performance testers. Here, the impartial insights are provided into the application to ensure the best-in-class performance. 4. Performance metrics Performance testing can track the server throughput, concurrent user loads, browser performance to assess the overall quality. But mostly, testers rely on their creativity and intelligence to match the expectations of end-users. Therefore, performance engineering has a phased approach to ensure a high-performing application in the long run. 5. Efficient reporting While the testers need to assess the performance and make reports, the performance engineering methods measure the experience of individual layers, including the web server, application server, network etc. When performance engineering is done right, it is surely going to improve the planning of deployment time with high-quality products. In addition, it reduces the business costs arising out of unforeseen issues. A clear and step-by-step testing approach ensures that organizations move towards better web applications and mobile experiences. The Right Approach to Performance Engineering  The performance engineering practices should align well with the metrics that really matter to businesses. While testing identifies the gaps, the onus of architecting it correctly lies on the engineering team with proactive actions from the quality assurance team. Let us explore the standard approach to a performance engineering culture. Understanding of performance risks:  It is important to understand the performance expectations of customers from the application. It helps in identifying the potential risks and assessing the damage it can cause. Then, these risks are ranked in terms of probability of the risk occurring, severity for proper resolution. Establishment of performance objectives: Set quantitative objectives to control and assess the efforts. However, it is important to set realistic objectives considering the number of requests received by the system. Set the parameters that matter: Consider the viewpoint of multiple stakeholders and accordingly, consider the parameters that matter to the customers and business. It is vital to ask pertinent questions related to response time, bottlenecks in a multi-user environment, etc. It helps in understanding the real user environment and its challenges to ensure a quality user experience. Early focus: The early focus on performance helps in gaining real-time insights into architectural issues, and optimize the multi-user application before it goes live. Besides faster deployment, it is extremely important to deliver uncompromised quality. Architecture assessment: As you implement performance engineering, it is also vital to assess the architecture. It is recommended to process the architecture based on reusability, reliability, scalability, and quick modification. Automation: Implementing automation throughout the testing process helps in getting faster and better performance results. You can yield better coverage by implementing the automation based on multiple scenarios the application might face. Don’t wait to start your performance engineering journey with QAonCloud. Our team consistently checks and validates the capabilities at the time of developing and scaling the product. Getting the right process and architecture will help you achieve a high-quality product. Plus, it reduces performance costs arising out of unforeseen issues. Talk to our experts to move towards achieving performance engineering now."

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  • popular cross browser testing comparison

    Cross-browser testing tools: A comparison

    "Gone are the days when web standards were a mess, with limited browser support. Well, you must have encountered an issue with the website and on calling the technical team, they tell you to try the same website in another browser. And it works pretty fine for you. So, is it your fault or lack of your technical expertise? The answer is “NO”. It’s just that the website is not extensively tested with cross-browser testing tools and lacks compatibility with some browsers. Every browser interprets the information and presents it on the website in a different manner. Some browsers may lack the features you are trying to display on your website that makes your website look broken on the browser. Just like the below example image indicates different responses of the same website. The errors of sign-up forms are different on both browsers. Today, the web scenario is entirely different and in fact, much better. All thanks to open-source cross-browser testing tools. "Any software tool is considered as open source if you can use and modify over the original design. The open-source tools don't have a commercial license but serves the specific purpose of testing." With the next-gen technologies and tools, it is now possible to make your website work perfectly on all web and mobile browsers. The users should not be restricted to use any browser to access your website. Some of the commonly used browsers include Google Chrome, Safari, Firefox, Internet Explorer, Opera. That being the background story, let’s understand the “What, why, how, who, when, where” of cross-browser testing. Why is Cross Browser Testing Important? Imagine that you are trying to access a website or app from MacBook Air. You open the Safari browser and type the URL, enter, and wait for the website to load. When it gets open, none of the images and media files gets loaded. All the text and buttons are over the web page. You check for internet connectivity and reload the page on the same screen. If it still does not open, you will assume that the site has some issue or is broken. Now, the next obvious step is to find an alternative. This is where open-source cross-browser testing tools come into the picture. The testing process ensures that the website and apps work in a smooth and uniform manner on all the browsers and devices used by your customers - Browsers - Chrome, Safari, Firefox, Microsoft Edge, Internet Explorer, Opera, etc. Operating systems - Android, Windows, iOS, macOS, etc. Devices - Laptop, tablet, mobile, desktop, smart TV, etc. Here is what you need to check with cross-browser testing. CSS and HTML validation Special characters with HTML Character encoding Page validation with and without JavaScript enabled Ajax and JQuery functionality Font Size Page layout in different resolutions Images and alignment Header and footer sections Page content alignment to center, LHS, or RHS Page styles Date formats Page zoom-in and zoom-out functionality Hence, it is required to check the performance, user interface, and overall compatibility of the applications on all these combinations. Cross-browser testing helps to provide a high-quality and consistent experience across all browsers, operating systems, and devices. How to Perform Cross-Browser Testing? Now we started talking. So, cross-browser testing can be performed through the manual process or automated testing methods. Let’s understand both the choices. Manual Method Manual testing is performed by checking the website on multiple browsers, machines, and operating systems. Then, the same test cases need to be performed again to observe the behavior of the application and report bugs. Clearly, it will lead to increased efforts, time, and investment. Moreover, it is not possible to cover many browsers. Automated Method This process runs the same set of test cases multiple times on different browsers. This eliminates the manual processes and repetition of tasks. This, automation method is more time and cost effective to perform automation method with ready-to-use cross-browser testing tools. Let’s explore the top tools to make cross-browser testing easier. Best Cross-Browser Testing Tools 1. BrowserStack Live BrowserStack Live is a cross-browser testing tool available for mobile and desktop browsers. This tool does not require any installation and starts at $29 per month after the free trial period. It allows you to set up a testing environment with proxies, firewalls, and Active Directory support. BrowserStack Live also supports multiple versions of Chrome, Firefox, Microsoft Edge, Internet Explorer, and macOS. The cloud platform is a helpful tool to test your website on real mobile devices running different operating systems. Benefits of BrowserStack Live: Start testing on real devices on the cloud Does not require virtual machines to run the tests Supports a wide variety of mobile device browsers Drawbacks of BrowserStack Live: Poor response time Can miss bugs that could not be identified on real devices 2. LambdaTest LambdaTest is a cloud-based testing platform for web apps and websites. It allows you to conduct interactive testing in real browser environments or run automated Selenium testing scripts. Commercially, LambdaTest starts at $15 per month for browser testing. The mobile and web testing start at $99 per month. Benefits of LambdaTest: Provides a limited-time free version that allows you to perform 6 testing sessions. Open-source cross-browser testing tool that supports desktop and mobile browsers Provides an online grid for Selenium test automation Drawbacks of LambdaTest: Not available on Linux 3. CrossBrowserTesting CrossBrowserTesting is a user-friendly testing platform that allows you to perform cross-browser testing on multiple browsers including mobile platforms. It is available for Android, iOS, Windows, macOS, and Ubuntu. You can easily run visual, manual, and Selenium tests on more than 2050 real mobile and desktop browsers. The tool starts from $29 per month for one user and unlimited testing capabilities are offered at $100 per month for two users. Benefits of CrossBrowserTesting: Supports a wide range of browsers and their respective versions Appropriate for the quick testing process Provide an option to choose the screen resolution and operating system Provides free trial version Drawbacks of CrossBrowserTesting: High price, especially for large projects Unavailable on Linux 4. Sauce Labs Sauce Labs is a cloud-based platform for testing mobile and web applications. It offers instant access to thousands of operating systems, mobile emulators, simulators, browsers, and real devices. The pricing for manual cross-browser testing starts at $39 per month (allows one test at a time), manual and automated testing starts at $149 per month (allows one test at a time). Real mobile devices testing starts at $199 per month. The tool supports multiple browsers including Firefox, Chrome, Safari, Microsoft Edge, macOS, iOS, Android, and Linux. Benefits of Sauce Labs: Allows testing mobile browsers on real devices Wide selection of real devices, emulators, and simulators Latest browser versions support Free trial version Drawbacks of Sauce Labs: Very high price and raises the cost of development 5. allows you to test your website on multiple versions of web browsers without creating many virtual machines. It also allows you to perform multiple tests without any dependencies or conflicts via isolated sandboxes. works well with the latest versions of browsers including Chrome, Opera, Firefox, Canary, Chromium, Firefox Nightly, Internet Explorer, and more. To use this cross-browser testing tool, you need to install a browser plug-in or download its desktop application. The tool is currently available only for Windows and starts at $19 per month. Benefits of Supports latest versions of browsers Provides a free version Functional testing can be performed seamlessly Supports mobile browsers of Firefox and Opera Drawbacks of Not available on macOS and Linux 6. offers multiple testing solutions including manual and automated cross-browser testing. This platform is cloud-based and allows cross-browser testing on the desktop version of browsers. The cross-browser testing tool provides extended browser support for Chrome, Safari, Microsoft Edge, Internet Explorer, Firefox, macOS, iOS, and Android. With, you can test mobile and desktop browsers securely, even in a staging environment by connecting with a secure tunnel. The pricing of the tool starts at $9 per month per user for manual testing and $39 per month per user for automated testing. Benefits of Allows hundreds of parallel tests Allows mobile testing for real devices Provides free version for manual testing Allows you to access visual reports with log files, videos, and screenshots Drawbacks of Unavailable on Linux 7. Browsershots, a completely free open source cross browser testing tool Browsershots is one of the free tools for cross-browser testing. Browsershots is an open-source cross-browser tool to test websites in any operating system and browser. You can easily run cross-compatibility tests with great customization options like color depth, browser type, operating system, the status of JavaScript, and flash settings. Browsershot also allows you to take website screenshots in more than 60 browsers and multiple operating systems. By simply inputting a URL and viewing the screenshots, you can get a quick understanding of how your website looks on different browsers. Benefits of Browsershots: Free tool Multiple browser testing practices Easy option to view several side-by-side screenshots Drawbacks of Browsershots: Cannot directly interact with the browsers as they are simply referenced screenshots 8. IE Tab This cross-browser testing tool allows you to easily view your web page with a single click. With the IE tab, you can view a web page in multiple browsers without switching from one browser to another. The tool is well compatible with Firefox or Chrome browsers. IE tab is one of the best compatibility testing tool that supports internet configuration. It allows you to customize multiple settings like the internet and security can be set automatically or manually. Benefits of IE tab: View web pages in multiple browsers without any switching hassles Allows you to open tabs emulating Internet Explorer Drawbacks of IE tab: Not available for Firefox 6.0 and above version Every tool in the list helps you enhance your testing strategy and perform cross-browser testing. But you need to choose the best tool, pick the one that best suits your unique business requirements. How To Choose the Best Cross Browser Testing Tool? Now when we know the importance of cross-browser testing and available tools in the market, it is time to choose the best tool and get started with a best-in-class user experience. Here are the key considerations while choosing the best tool for the cross-browser testing process. The support of devices, operating systems, and browsers need to be verified. The tool should support the maximum possible combinations. If there is a new release of the browser, the testing tool should be able to accommodate the latest version too. Third-party integration support with Nightwatch, Jenkins, existing Selenium code, etc. The tools should support parallel testing to ensure the testing of a huge number of environment combinations. This feature is available with cloud-based open-source cross-browser testing tools. The tool should provide support for emulators, simulators, and real devices. There should be a technical support team to extend prompt support in the testing process. Automating Cross Browser Testing with QAonCloud In this post, we have covered all the key aspects of cross-browser testing and popular cross-browser testing tools. But if you don’t want to get into the hassles of manual testing and choosing the right tool, QAonCloud provides an easy option to make your cross-browser testing experience hassle-free, secure yet effortless. At QAonCloud, we strive for the best-in-class quality and are dedicated to enhancing your product quality. Our cloud-based cross-browser testing tool provides access to thousands of real devices, browsers, and environments. Contact us to start your cross-browser testing journey and enhance your product quality. Below are some key benefits of choosing QAonCloud. Automation script written in plain English. Hence, it does not require prior coding knowledge and skills. We can start running the test cases immediately. Get free from the license and installation hassles of operating systems, software, etc. All the environments can be easily accessed on the cloud. Allows to add multiple testing environments and run parallel testing to save effort and time. Supports third-party integration with key business applications and tools. There is no need to scale up or down the testing infrastructure according to varied testing needs. QAonCloud provides a highly scalable infrastructure to all the available environments. The functional and visual testing is also conducted to test the user interface, the latest application image to the baselined image to report the difference. Customizable and detailed reporting according to your requirements. Expert technical support team to provide you with the best solutions."

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  • Google play instant testing

    Is your App Instant Ready: Test your Android app for Google Play Instant

    "Let’s start this post with 3 amazing mobile app facts: Fact #1 – In the second half of 2016, only 23% of mobile apps were used after being installed.* Fact #2 – 95% of installed mobile apps are deleted within the first month.* Fact #3 – Over 87% of users spend their time on apps and the rest of the people use browsers to use an app.* So, mobile apps are an everyday matter for users. Everyone wants to use mobile apps for their daily activities. But do you really need to download an app to own it? When you consider how easily and quickly you can install something like a flashlight app on your device, it makes you wonder about the benefits of keeping apps on your device. Well, it is unlikely that you will need every mobile app all the time. As long as you can access an app when you need it the most, what is the benefit of having it on your mobile and taking up the device space? Android Instant Apps is the answer to this dilemma. Since the launch of Instant Apps in May 2017, it has taken over the mobile app development world. But to be able to publish your app as an instant app, you need to conduct a Google play instant testing process. Whenever a mobile app is launched, the developer has certain goals such as generating user traffic, increasing revenues, getting high ratings, providing benefits to users, etc. Getting the app in front of a large audience could also be an important goal of your app. If you want to achieve a lot more than this, Android Instant Apps can help you big time. Instant app feature makes your mobile app discoverable from multiple locations such as – URLs, Google search results, social media posts, emails, YouTube comments, etc. Well, there are a lot of things to know about Instant apps and Google play instant testing. Let’s go step by step. What are Instant Apps? Instant apps are Android applications that need not be downloaded from the play store or installed on the user device. These apps are designed to save storage space on the device and deep link the users to the specific function of apps. Currently, they are only available for Android. It works as an instance of the app on the play store that can be used with a single click. This gives a native user experience without even downloading or installing the mobile app. The users can simply click on the “Try Now” button to start using the app. Use Cases for Google Play Instant Apps Once you build the mobile app and complete the process of Google play instant testing, you are all set to launch the instant app on the play store. When Android instant apps were announced, Google used a parking meter app as an example of their offerings. With this app, the users can immediately use the capabilities of the parking meter app without downloading, installing, or signing up. It delivers the opportunity to increase user engagement with the app and gain more installs after completing the Google play instant testing process. Such apps allow the users to try a particular app for a specific time without installing it and later decide whether to download and install the app onto their device or not. There can be many other use cases for instant apps with a completely native experience. Some of them are: Car parking solution Demo of image analytics app or a video Menu display of restaurant One time authenticators Game demo stage Location routine information Shopping and checkout at a virtual or physical store Why is Google Play Instant Testing Important? Instant apps have become the next great step in mobile development. At first sight, they don’t differ much from the conventional mobile apps as they look and function just like a mobile app. The major difference is that you don’t need to download or install them on your device. When the instant app testing is conducted, it ensures that all the necessary app functionality works perfectly without having to install the app from the play store. Let’s find out how Google Play instant testing helps: Ease of access Android instant apps allows the users to access and run apps instantly, without any installation hassles. The users can easily get a native Android experience from any URL – including social media, search engines, messaging, and other deep links. As soon as the link is clicked, the user will be redirected to the mobile web space where they can use the app features. This will provide a much better experience to the users as they won’t have to go through the whole process of searching and installing the mobile app. They can conveniently use all the features of the app with a single click. More creativity Now when the developers are well aware that the users can access the mobile apps before even installing them, they will be more focused on the creativity of applications. The developers have to introduce a “lite” version and get the mobile apps to pass through Google Play instant testing process to provide a better user experience. The users will be able to relish the new and improved mobile app experience. Save space Did you know that over 43% of users remove apps from their smartphones to free up storage space? (Source: Alligator Test). And once a mobile app is removed from the phone, it is rarely reinstalled. So, the storage concern is very important for users and instant apps can help a big-time here. Getting through the process of Google Play instant testing ensures that your mobile app consumes less space without compromising with features. Better app engagement Mostly, searching, downloading, installing, and executing the registration process of a mobile app takes much more time than using the application itself. This can lead to a lack of user engagement since users lose the enthusiasm to use the app before even reaching its useful content. Not anymore. Instant apps, on the other hand, provide the opportunity to try the features of the app instantly without any additional time and effort of users. It helps users to decide whether they want to use the application or even download it. Thus, the users will be significantly more engaged with the application. More valuable users and applications As there is no need to install the app to know the usability, the users can easily sneak into the features of the application. And once they are satisfied, they can install the application for future use. When you get your Google Play instant testing completed, the users can easily gain access to the app without downloading, experience the user interface, try its core features, and create an instant opinion about it. This way, only the valuable users will stick to your mobile app, and for the long term. It will also help in increasing the user retention rates as only the satisfied users will be downloading the application and the chance of application abandonment will decline subsequently. Increased app visibility Most of the developers face the challenge of getting their mobile app listed at the top of app stores and increasing the number of app downloads. The great advantage of Instant apps is that the access is not limited only to the Google Play store. Instead, the link to access the instant app can be published on many other platforms resulting in more ways to promote the app, better app visibility, and more downloads. Key Tips to Consider While Conducting Google Play Instant Testing Process Well, you need to consider a lot of things in mind before processing the development of instant apps. Have a look at a few important points of consideration. 1. Choose the new version of Android Studio To develop an instant app, the foremost thing to be considered is that it requires Android 5.0 (API level 21). It is recommended to take the help of the latest Android Studio version for building and testing the instant apps. This service of Android app development enables you to drive higher application installs and build a strong market presence. 2. Reduce the app size conveniently There are many good reasons why users prefer to use instant apps but reduced app size remains the top priority. Hence, it is important to keep the size of apps in check before launching the lite version of your mobile app. While Google play instant testing always ensures to keep the app size in check, the preferable size should not exceed 4 MB for apps and 10 MB for games. If the size of your app range from 4 MB -10 MB, the users can leverage the “Try Now” button and experience the app conveniently. 3. Decide the type of instant experience Delivering an excellent user experience is one of the primary motives of an instant app. For basic experience, allow users to click on the “Try Now” button or a website banner to try an instant mobile app. For an enhanced experience, market the app on multiple platforms in the form of advertisements, messages, QR codes, etc. Enable the instant experience today Instant apps have been a revolution in the era of mobile app development. And the best part is that a specific link can open the app while minimizing the cost and time of development. On one hand, the users can understand the features and functionalities of the app for free, while on the other hand, it provides better chances of user conversion and retention to app developers. Google is also gearing up to give multiple instant app experiences for a single app in the future. Undoubtedly, the future of trial versions or demos is through Google play instant testing. So, what do you make of instant apps? Can you see yourself offering an instant app experience, improving user engagement, and getting more conversions? Don’t wait anymore to introduce your instant app and move toward a “no downloads future”. We at QAonCloud have the right experience and experience to guide you towards the unique experience of Google play instant testing. Consult with our mobile app testing experts today. *Source: emarketer"

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It's Time For A Different Application Testing Experience