SaaS Application: Learn All About Performance Testing And Challenges

Software as a service (SaaS) is gaining significant traction in practically every business these days. Significant business companies such as Netflix, HubSpot, Dropbox, Salesforce, and Amazon Prime Video recognized the true value of Saas over on-premises installed apps. Best of all, they are not need to acquire gear or software to manage charges, and the low-cost solution is simple to manage.

In contrast, SaaS is just like a rental scheme where users pay for what they use, rest responsibility lies on the SaaS application development company. With the rising popularity of SaaS, the list of companies ready to acquire SaaS is also summing up. 

Nonetheless, one cannot dispute that it is a difficult decision for businesses to select the finest SaaS for their needs. Numerous elements influence their selection, including the complexity of the system, the application stack, and operational concerns. The most critical type of legacy application is one that is created in its own dissenters. They may be confronted with a conundrum about security, return on investment, platform suitability, compliance, and integration.

What is SaaS Testing?

SaaS testing refers to the examination of the methodologies and processes employed in the development of a Software as a Service model. SaaS testing is distinct from on-premise application development testing in that you must address data security concerns, as well as test business logic, data integration, performance, interface, and interoperability.

Due to the architectural nature of SaaS, testing requires precise details yet takes less time than on-premise testing. Users do not need to worry about server installation, back-end support, or platform compatibility while using SaaS testing. However, it uses a different testing strategy from the one mentioned in this article. Additionally, we explored the difficulties that a SaaS application development company faces. Therefore, continue reading till the conclusion.

SaaS Application Testing

Let's look at the numerous tests that are used to validate your SaaS application and ascertain its functionality;

1. A business process test is undertaken to ascertain the application's various components and capabilities. The test determines whether a given model is compatible with their business and how these features can help a business increase its scalability.
2. Testing for Availability: Availability Testing verifies that the application is operational 24 hours a day, seven days a week. If downtime or user availability issues occur at a predetermined time interval, competent developers can resolve them only during the pioneering stage.
3. Stress and load testing are used to evaluate a system's performance during peak hours. As with the taxi business app, the majority of orders are placed in the morning and evening. The business cannot afford downtime between critical deadlines. As a result, stress and load testing assist professionals in determining capacity.
    
4. Interoperability Testing: This testing is used to determine whether or not people from diverse backgrounds can properly use the SaaS platform. If experts are able to adequately cure bugs discovered at this stage on-site.
5. Performance Testing: Performance testing is critical for ensuring that your workflow runs smoothly. End-to-end testing determines whether your application is prepared to withstand a steady demand. If not, expert-developed tools take incremental efforts to correct an inaccuracy.
6. Security Examinations: Security Testing verifies that no threat to data privacy or security issues exists. It is important to validate critical customer records such as credit card numbers and contact information associated with the SaaS model. As with Netflix, it pays a predetermined amount for a monthly or annual subscription plan, which must be handled properly.
7. Testing for Migration and Integration: API integration is a professional service that integrates APIs into your business application. It assists users in identifying dangers to consumer data or enterprise privacy policies.

Challenges in Testing SaaS Applications

Testing SaaS applications is not enjoyable. Professionals overcome numerous obstacles. Here are a few of them:

1. Performance Testing: The primary problem in developing SaaS applications is determining whether the model meets the demands of every user. To accomplish this, specialists must devote additional time and effort to personalizing the model.
2. Security testing: It is not easy to ensure the integrity, accessibility, and security of a business's or customer's data. As a result, the application is tested against a variety of different behavior patterns and levels to assure data protection.
3. Data Migration: Migrating data from one application to a SaaS platform is a significant undertaking. It demands a significant amount of effort, tools, and knowledge of programming. A tiny error can result in the squandering of all efforts or the loss of data.
4. Management Upgradation: Upgrades and validation of modifications are required to ensure that the SaaS application continues to fulfil user and business requirements. However, this is not a simple task. Developers must have a thorough understanding of their intended audience, their needs, and preferences. If a business upgrades something that is difficult for customers to grasp, this might have a detrimental effect on business. Additionally, updating current SaaS services presents additional challenge: it must avoid affecting existing clients or interfering with their daily operations. Thus, whether the issue is one of integration, compatibility, or interface changes, each stage presents a new barrier for SaaS developers.
5. Integration: Whether a customer or a SaaS provider, enterprise applications always require outbound and inbound data integration validation. By signing up, similar clients provide personal information. As a result, it's extremely difficult for SaaS providers to consider complete data privacy and security concerns.
6. Licensing: Each SaaS program has its own licensing requirements based on its usage, features, users, transaction volume, and data volume. As a result, each licensing method has its own set of rules.

Conclusion 

The adoption of SaaS applications is accelerating, and the trend is expected to continue in the future years.

SaaS applications significantly reduce the amount of time, effort, and resources required for application development and maintenance. It enables businesses to focus on other critical business decisions, as seen by Uber's, Slack's, Spotify's, and Airbnb's increasing income.

However, before you choose SaaS applications, ensure that your SaaS application development company thoroughly tests the app to ensure it is a customized answer for your business's needs.

 

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How to Do API Testing?

Nowadays API testing is an integral part of testing. There are a lot of tools like postman, insomnia, etc. There are many articles that ask what is API, What is API testing, but the problem is How to do API testing? What I need to validate.

Note: In this article, I am going to use postman assertions for all the examples since it is the most popular tool. But this article is not intended only for the postman tool.

Let’s directly jump to the topic.

Let’s consider you have an API endpoint example http://dzone.com/getuserDetails/{{username}} when you send the get request to that URL it returns the JSON response.

My API endpoint is http://dzone.com/getuserDetails/{{username}}

The response is in JSON format like below

JSON

{
  "jobTitle": "string",
  "userid": "string",
  "phoneNumber": "string",
  "password": "string",
  "email": "user@example.com",
  "firstName": "string",
  "lastName": "string",
  "userName": "string",
  "country": "string",
  "region": "string",
  "city": "string",
  "department": "string",
  "userType": 0
}

In the JSON we can see there are properties and associated values.

Now, For example, if we need details of the user with the username ‘ganeshhegde’ we need to send a **GET **request to **http://dzone.com/getuserDetails/ganeshhegde **

Now there are two scenarios.

1. Valid Usecase: User is available in the database and it returns user details with status code 200

2. Invalid Usecase: User is Unavailable/Invalid user in this case it returns status with code 404 with not found message.

#tutorial #performance #api #test automation #api testing #testing and qa #application programming interface #testing as a service #testing tutorial #api test

Where To Learn Test Programming — July 2020 Edition

What do you do when you have lots of free time on your hands? Why not learn test programming strategies and approaches?

When you’re looking for places to learn test programming, Test Automation University has you covered. From API testing through visual validation, you can hone your skills and learn new approaches on TAU.

We introduced five new TAU courses from April through June, and each of them can help you expand your knowledge, learn a new approach, and improve your craft as a test automation engineer. They are:

These courses add to the other three courses we introduced in January through March 2020:

• IntelliJ for Test Automation Engineers (3 hrs 41 min)
• Cucumber with JavaScript (1 hr 22 min)
• Python Programming (2 hrs)

Each of these courses can give you a new set of skills.

Let’s look at each in a little detail.

Mobile Automation With Appium in JavaScript

Orane Findley teaches Mobile Automation with Appium in JavaScript. Orane walks through all the basics of Appium, starting with what it is and where it runs.

“Appium is an open-source tool for automating native, web, and hybrid applications on different platforms.”

In the introduction, Orane describes the course parts:

• Setup and Dependencies — installing Appium and setting up your first project
• Working with elements by finding them, sending values, clicking, and submitting
• Creating sessions, changing screen orientations, and taking screenshots
• Timing, including TimeOuts and Implicit Waits
• Collecting attributes and data from an element
• Selecting and using element states
• Reviewing everything to make it all make sense

The first chapter, broken into five parts, gets your system ready for the rest of the course. You’ll download and install a Java Developer Kit, a stable version of Node.js, Android Studio and Emulator (for a mobile device emulator), Visual Studio Code for an IDE, Appium Server, and a sample Appium Android Package Kit. If you get into trouble, you can use the Test Automation University Slack channel to get help from Orane. Each subchapter contains the links to get to the proper software. Finally, Orane has you customize your configuration for the course project.

Chapter 2 deals with elements and screen interactions for your app. You can find elements on the page, interact with those elements, and scroll the page to make other elements visible. Orane breaks the chapter into three distinct subchapters so you can become competent with each part of finding, scrolling, and interacting with the app. The quiz comes at the end of the third subchapter.

The remaining chapters each deal with specific bullets listed above: sessions and screen capture, timing, element attributes, and using element states. The final summary chapter ensures you have internalized the key takeaways from the course. Each of these chapters includes its quiz.

When you complete this course successfully, you will have both a certificate of completion and the code infrastructure available on your system to start testing mobile apps using Appium.

Selenium WebDriver With Python

Andrew Knight, who blogs as The Automation Panda, teaches the course on Selenium WebDriver with Python. As Andrew points out, Python has become a popular language for test automation. If you don’t know Python at all, he points you to Jess Ingrassellino’s great course, Python for Test Programming, also on Test Automation University.

In the first chapter, Andrew has you write your first test. Not in Python, but Gherkin. If you have never used Gherkin syntax, it helps you structure your tests in pseudocode that you can translate into any language of your choice. Andrew points out that it’s important to write your test steps before you write test code — and Gherkin makes this process straightforward.

The second chapter goes through setting up a pytest, the test framework Andrew uses. He assumes you already have Python 3.8 installed. Depending on your machine, you may need to do some work (Macs come with Python 2.7.16 installed, which is old and won’t work. Andrew also goes through the pip package manager to install pipenv. He gives you a GitHub link to his test code for the project. And, finally, he creates a test using the Gherkin codes as comments to show you how a test runs in pytest.

In the third chapter, you set up Selenium Webdriver to work with specific browsers, then create your test fixture in the pytest. Andrew reminds you to download the appropriate browser driver for the browser you want to test — for example, chromedriver to drive Chrome and geckodriver to drive Firefox. Once you use pipenv to install Selenium, you begin your test fixture. One thing to remember is to call an explicit quit for your webdriver after a test.

Chapter 4 goes through page objects, and how you abstract page object details to simplify your test structure. Chapter 5 goes through element locator structures and how to use these in Python. And, in Chapter 6, Andrew goes through some common webdriver calls and how to use them in your tests. These first six chapters cover the basics of testing with Python and Selenium.

Now that you have the basics down, the final three chapters review some advanced ideas: testing with multiple browsers, handling race conditions, and running your tests in parallel. This course gives you specific skills around Python and Selenium on top of what you can get from the Python for Test Programming course.

#tutorial #performance #testing #automation #test automation #automated testing #visual testing #visual testing best practices #testing tutorial

Wondering how to upgrade your skills in the pandemic? Here's a simple way you can do it.

Corona Virus Pandemic has brought the world to a standstill.

Countries are on a major lockdown. Schools, colleges, theatres, gym, clubs, and all other public places are shut down, the country’s economy is suffering, human health is on stake, people are losing their jobs and nobody knows how worse it can get.

Since most of the places are on lockdown, and you are working from home or have enough time to nourish your skills, then you should use this time wisely! We always complain that we want some ‘time’ to learn and upgrade our knowledge but don’t get it due to our ‘busy schedules’. So, now is the time to make a ‘list of skills’ and learn and upgrade your skills at home!

And for the technology-loving people like us, Knoldus Techhub has already helped us a lot in doing it in a short span of time!

If you are still not aware of it, don’t worry as Georgia Byng has well said,

“No time is better than the present”

– Georgia Byng, a British children’s writer, illustrator, actress and film producer.

No matter if you are a developer (be it front-end or back-end) or a data scientist, tester, or a DevOps person, or, a learner who has a keen interest in technology, Knoldus Techhub has brought it all for you under one common roof.

From technologies like Scala, spark, elastic-search to angular, go, machine learning, it has a total of 20 technologies with some recently added ones i.e. DAML, test automation, snowflake, and ionic.

How to upgrade your skills?

Every technology in Tech-hub has n number of templates. Once you click on any specific technology you’ll be able to see all the templates of that technology. Since these templates are downloadable, you need to provide your email to get the template downloadable link in your mail.

These templates helps you learn the practical implementation of a topic with so much of ease. Using these templates you can learn and kick-start your development in no time.

Apart from your learning, there are some out of the box templates, that can help provide the solution to your business problem that has all the basic dependencies/ implementations already plugged in. Tech hub names these templates as xlr8rs (pronounced as accelerators).

xlr8rs make your development real fast by just adding your core business logic to the template.

If you are looking for a template that’s not available, you can also request a template may be for learning or requesting for a solution to your business problem and tech-hub will connect with you to provide you the solution. Isn’t this helpful 🙂

Confused with which technology to start with?

To keep you updated, the Knoldus tech hub provides you with the information on the most trending technology and the most downloaded templates at present. This you’ll be informed and learn the one that’s most trending.

Since we believe:

“There’s always a scope of improvement“

If you still feel like it isn’t helping you in learning and development, you can provide your feedback in the feedback section in the bottom right corner of the website.

#ai #akka #akka-http #akka-streams #amazon ec2 #angular 6 #angular 9 #angular material #apache flink #apache kafka #apache spark #api testing #artificial intelligence #aws #aws services #big data and fast data #blockchain #css #daml #devops #elasticsearch #flink #functional programming #future #grpc #html #hybrid application development #ionic framework #java #java11 #kubernetes #lagom #microservices #ml # ai and data engineering #mlflow #mlops #mobile development #mongodb #non-blocking #nosql #play #play 2.4.x #play framework #python #react #reactive application #reactive architecture #reactive programming #rust #scala #scalatest #slick #software #spark #spring boot #sql #streaming #tech blogs #testing #user interface (ui) #web #web application #web designing #angular #coronavirus #daml #development #devops #elasticsearch #golang #ionic #java #kafka #knoldus #lagom #learn #machine learning #ml #pandemic #play framework #scala #skills #snowflake #spark streaming #techhub #technology #test automation #time management #upgrade

Testing Microservices Applications

The shift towards microservices and modular applications makes testing more important and more challenging at the same time. You have to make sure that the microservices running in containers perform well and as intended, but you can no longer rely on conventional testing strategies to get the job done.

This is where new testing approaches are needed. Testing your microservices applications require the right approach, a suitable set of tools, and immense attention to details. This article will guide you through the process of testing your microservices and talk about the challenges you will have to overcome along the way. Let’s get started, shall we?

A Brave New World

Traditionally, testing a monolith application meant configuring a test environment and setting up all of the application components in a way that matched the production environment. It took time to set up the testing environment, and there were a lot of complexities around the process.

Testing also requires the application to run in full. It is not possible to test monolith apps on a per-component basis, mainly because there is usually a base code that ties everything together, and the app is designed to run as a complete app to work properly.

Microservices running in containers offer one particular advantage: universal compatibility. You don’t have to match the testing environment with the deployment architecture exactly, and you can get away with testing individual components rather than the full app in some situations.

Of course, you will have to embrace the new cloud-native approach across the pipeline. Rather than creating critical dependencies between microservices, you need to treat each one as a semi-independent module.

The only monolith or centralized portion of the application is the database, but this too is an easy challenge to overcome. As long as you have a persistent database running on your test environment, you can perform tests at any time.

Keep in mind that there are additional things to focus on when testing microservices.

• Microservices rely on network communications to talk to each other, so network reliability and requirements must be part of the testing.
• Automation and infrastructure elements are now added as codes, and you have to make sure that they also run properly when microservices are pushed through the pipeline
• While containerization is universal, you still have to pay attention to specific dependencies and create a testing strategy that allows for those dependencies to be included

Test containers are the method of choice for many developers. Unlike monolith apps, which lets you use stubs and mocks for testing, microservices need to be tested in test containers. Many CI/CD pipelines actually integrate production microservices as part of the testing process.

Contract Testing as an Approach

As mentioned before, there are many ways to test microservices effectively, but the one approach that developers now use reliably is contract testing. Loosely coupled microservices can be tested in an effective and efficient way using contract testing, mainly because this testing approach focuses on contracts; in other words, it focuses on how components or microservices communicate with each other.

Syntax and semantics construct how components communicate with each other. By defining syntax and semantics in a standardized way and testing microservices based on their ability to generate the right message formats and meet behavioral expectations, you can rest assured knowing that the microservices will behave as intended when deployed.

Ways to Test Microservices

It is easy to fall into the trap of making testing microservices complicated, but there are ways to avoid this problem. Testing microservices doesn’t have to be complicated at all when you have the right strategy in place.

There are several ways to test microservices too, including:

• Unit testing: Which allows developers to test microservices in a granular way. It doesn’t limit testing to individual microservices, but rather allows developers to take a more granular approach such as testing individual features or runtimes.
• Integration testing: Which handles the testing of microservices in an interactive way. Microservices still need to work with each other when they are deployed, and integration testing is a key process in making sure that they do.
• End-to-end testing: Which⁠—as the name suggests⁠—tests microservices as a complete app. This type of testing enables the testing of features, UI, communications, and other components that construct the app.

What’s important to note is the fact that these testing approaches allow for asynchronous testing. After all, asynchronous development is what makes developing microservices very appealing in the first place. By allowing for asynchronous testing, you can also make sure that components or microservices can be updated independently to one another.

#blog #microservices #testing #caylent #contract testing #end-to-end testing #hoverfly #integration testing #microservices #microservices architecture #pact #testing #unit testing #vagrant #vcr

In-house Tool for Performance Testing

In the software development cycle, testing is one of the important criteria. There are many tools available in this space for testing such as Junit, Jmeter, manual, automation, and many performance testing tools. Some of these tools are third-party tools and have a cost-heavy license for the company to manage. For small start-up companies, these license costs can be unbearable. We analyze a tool to make the process easier and more cost effective.

About the Tool

The tool can have two parts. One part can be making a main interface web page where developers/testers can fill in the details and start testing. The other part can be the onboarding template page, where the team can onboard new applications, templates, and stacks so that it appears on the main interface page.

#performance testing #testing tool #performance test tools #testing