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Everything You Need to Know About Test Automation as a Service (TAaaS)

6 minutes, 24 seconds read

The enterprise-level digitization and adoption of DevOps and Agile have made test automation a necessity in today’s time. It reduces the time-to-market and hence the production cost. One can execute test automation on web/mobile/desktop application, performance, and APIs at once; generating a comprehensive report based on functionality, time, and build.

Test Automation as a Service is an on-demand automation offering that overrules manual testing. But before, let’s look at key problems with manual testing-

  • It demands manual effort during release/enhancement.
  • Manual testing requires greater resources.
  • Testers usually avoid lengthy testing because of time and resource constraints.
  • It has a limited scope of tests and cannot accomplish in-depth testing. In other words, manual testing has lesser coverage. 
  • It requires testing the application on multiple computers, mobiles, tablets, etc. with different configurations.
  • The scripts are not reusable, i.e. every time testing will require new scripts for instances like the change in OS version.

How Automation Speeds-up Testing by 70%?

Testing automation not only reduces manual efforts but also speeds-up the entire testing process. Here’s how.

  • It cuts down the repetitive tasks/testing, which the test engineers used to do at the time of product release or enhancement.
  • TAaaS covers lengthy testing, which was unattended by manual testing.
  • It also increases the testing coverage with fewer resources.
  • It finds critical defects at an early stage of testing.
  • Its scripts are reusable. Testers need not code new scripts every time for system upgrades and OS version changes. Tests can recur without errors.

The following are the test automation tools categorized application-wise.

Web-based Application Automation

Selenium Webdriver is an open-source tool for automating web-based applications only. Users can test web applications using any web browser.

  • Types of OS for testing in Selenium: Windows, Mac, Linux
  • Browsers supported for testing: Mozilla Firefox, Internet Explorer, Google Chrome, Safari, Opera

Additional Resource: Selenium Testing Automation Framework

Mobile-based Application Automation

Appium is an open-source tool to test web applications running in mobile browsers. It also supports the automation of native and hybrid mobile applications developed for iOS and Android OS. Appium uses Selenium API to test the applications.

You can test a mobile application in just four steps-

  1. Write your test script on Eclipse.
  2. Connect your device to Computer (PC).
  3. Start Appium server.
  4. Run your script (test cases).

Appium supports Chrome browser for testing Android apps and Safari for iOS.

API Automation

Testing is difficult in Java as compared to dynamic languages like Ruby and Groovy. REST Assured is a Java library that provides a domain-specific language (DSL) for writing powerful, maintainable tests for RESTful APIs. Most of the web services are based on REST architecture. Everything is a resource in the RESTful web service. It is lightweight, scalable, and allows creating easy to maintain web apps. How it works-

  • REST Assured captures the (JSON) response of the API call.
  • It validates if the response status code is equal to 200.

Windows App Automation

Winium is a Selenium-based open-source automation framework for the Windows platform. You can test your Windows App following these steps-

  • Write your test script on Eclipse.
  • Start Winium Desktop Driver.
  • Set the path of application in the script.
  • Using “UISpy” inspect the elements.
  • Run your script (test cases).

Frameworks for Test Automation as a Service

A framework is a collection of reusable components that make the overall test execution and development easy and efficient. It is a custom tool designed by Framework Developers to simplify test automation processes.

A framework is a well-organized structure of components. For instance, one driver file executes an entire batch of commands without any manual intervention. The following are the types of frameworks along with the use scenarios specific to Test Automation as a Service protocol.

Data Driven Framework

This automation framework focuses on keeping test script logic and test data separate. For testing, it inputs data sets from a variety of sources like MS Excel Sheets, MS Access Tables, SQL Database, XML files, etc.

When the same test case needs to be executed multiple times with different data sets, the data-driven framework provides data to the test scripts.

Modular Driven Framework

Here, testers create test scripts for individual, small modules of the application. These small scripts (or test modules) can be combined into a master script to test specific scenarios or end-to-end testing. The test modules can also act as a library of functions to use in the future.

When applications contain a lot of modules, a modular framework is suitable for testing.

Keyword Driven Framework

This framework is also known as table-driven testing because it uses a table format to define keywords or action words for each function that the tester needs to execute. It’s a user-friendly framework. Test Engineers can develop test scripts even with limited knowledge of automation tools and programming language.

Behavior Driven Development Framework (Cucumber Framework)

It is a testing framework which supports Behavior Driven Development (BDD). It allows the tester to define application behavior in plain English and simple grammar as defined in Gherkin language. The following are the components of the cucumber framework.

Feature Files: It is an entry point to the cucumber tests. Here, the tester describes the test cases in a descriptive language like English. Feature files are important because they serve as an automation test script as well as live documents. A feature file can contain one or many scenarios. The following is a sample feature file.

#Author: your.email@your.domain.com

#Keywords Summary:

#Feature: List of scenarios.

#Scenario: Business rule through list of steps with arguments.

#Given: Some precondition step

#When: Some key actions

#Then: To observe outcomes or validation

#And, But: To enumerate more Given, When, Then steps

#Scenario Outline: List of steps for data driven as an Examples and <placeholder>

#Examples: Container for s table

#Background: List of steps run before each of the scenarios

#””” (Doc Strings)

#| (Data Tables)

#@ (Tags/Labels): To group Scenarios

#<> (placeholder)

#””

## (Comments)

#Sample Feature Definition Template

@tag

Feature: Title of your feature

I want to use this template for my feature file

  @tag1

  Scenario: Title of your scenario

Given I want to write a step with precondition

And some other precondition

When I complete action

    And some other action

And yet another action

Then I validate the outcomes

And check more outcomes

  @tag2

  Scenario Outline: Title of your scenario outline

Given I want to write a step with <name>

When I check for the <value> in step

Then I verify the <status> in step

Examples:

   | name | value | status |

   | name1 | 5 | success |

   | name2 | 7 | Fail    |

Apart from these testers also use Linear Scripting Framework and Hybrid Testing Framework for Test Automation.

Step Definitions: A Step definition is a small piece of code with a set pattern. The pattern links the Step Definition to all the matching steps. Cucumber executes a Step according to Gherkin Steps.

Test Runner: The JUnit runner uses the JUnit Framework to run cucumber. It is an open-source unit testing framework for Java. It is useful for writing and running repeat/reusable test cases. It requires a single empty class with an annotation-

@RunWith(Cucumber.class)

@CucumberOptions(features=”features”, glue = {“stepDefinitions”})

public class TestRunner {}

Also read – How to perform load testing on applications.

Best Practices for Creating an Effective Testing Framework

  • Integrate Appium and Selenium to cover mobile and web testing together.
  • Integrate REST Assured for API automation to ensure APIs are working as per set functionalities. It saves a great deal of time and resources.
  • Integrate Winium/AutoIt for testing standalone applications.
  • Integrate Cucumber for behaviour-driven development.
  • Use Page Object Model to create generic packages of common classes (codes) that can be used over all the test scripts. It helps to achieve reusability of codes.
  • Integrate JUnit to manage test cases and generate reports.
  • Integrate Maven or Jenkins to achieve continuous testing. Jenkins also helps to run the script for lengthy testing and generate extended reports delivered to all stakeholders. It is useful for tests that take hours to days to complete.

We specialize in business-specific test automation services. Drop us a word at hello@mantralabsglobal.com to streamline and accelerate your product/solution launch.

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Platform Engineering: Accelerating Development and Deployment

The software development landscape is evolving rapidly, demanding unprecedented levels of speed, quality, and efficiency. To keep pace, organizations are turning to platform engineering. This innovative approach empowers development teams by providing a self-service platform that automates and streamlines infrastructure provisioning, deployment pipelines, and security. By bridging the gap between development and operations, platform engineering fosters standardization, and collaboration, accelerates time-to-market, and ensures the delivery of secure and high-quality software products. Let’s dive into how platform engineering can revolutionize your software delivery lifecycle.

The Rise of Platform Engineering

The rise of DevOps marked a significant shift in software development, bringing together development and operations teams for faster and more reliable deployments. As the complexity of applications and infrastructure grew, DevOps teams often found themselves overwhelmed with managing both code and infrastructure.

Platform engineering offers a solution by creating a dedicated team focused on building and maintaining a self-service platform for application development. By standardizing tools and processes, it reduces cognitive overload, improves efficiency, and accelerates time-to-market.  

Platform engineers are the architects of the developer experience. They curate a set of tools and best practices, such as Kubernetes, Jenkins, Terraform, and cloud platforms, to create a self-service environment. This empowers developers to innovate while ensuring adherence to security and compliance standards.

Role of DevOps and Cloud Engineers

Platform engineering reshapes the traditional development landscape. While platform teams focus on building and managing self-service infrastructure, application teams handle the development of software. To bridge this gap and optimize workflows, DevOps engineers become essential on both sides.

Platform and cloud engineering are distinct but complementary disciplines. Cloud engineers are the architects of cloud infrastructure, managing services, migrations, and cost optimization. On the other hand, platform engineers build upon this foundation, crafting internal developer platforms that abstract away cloud complexity.

Key Features of Platform Engineering:

Let’s dissect the core features that make platform engineering a game-changer for software development:

Abstraction and User-Friendly Platforms: 

An internal developer platform (IDP) is a one-stop shop for developers. This platform provides a user-friendly interface that abstracts away the complexities of the underlying infrastructure. Developers can focus on their core strength – building great applications – instead of wrestling with arcane tools. 

But it gets better. Platform engineering empowers teams through self-service capabilities.This not only reduces dependency on other teams but also accelerates workflows and boosts overall developer productivity.

Collaboration and Standardization

Close collaboration with application teams helps identify bottlenecks and smooth integration and fosters a trust-based environment where communication flows freely.

Standardization takes center stage here. Equipping teams with a consistent set of tools for automation, deployment, and secret management ensures consistency and security. 

Identifying the Current State

Before building a platform, it’s crucial to understand the existing technology landscape used by product teams. This involves performing a thorough audit of the tools currently in use, analyzing how teams leverage them, and identifying gaps where new solutions are needed. This ensures the platform we build addresses real-world needs effectively.

Security

Platform engineering prioritizes security by implementing mechanisms for managing secrets such as encrypted storage solutions. The platform adheres to industry best practices, including regular security audits, continuous vulnerability monitoring, and enforcing strict access controls. This relentless vigilance ensures all tools and processes are secure and compliant.

The Platform Engineer’s Toolkit For Building Better Software Delivery Pipelines

Platform engineering is all about streamlining and automating critical processes to empower your development teams. But how exactly does it achieve this? Let’s explore the essential tools that platform engineers rely on:

Building Automation Powerhouses:

Infrastructure as Code (IaC):

CI/CD Pipelines:

Tools like Jenkins and GitLab CI/CD are essential for automating testing and deployment processes, ensuring applications are built, tested, and delivered with speed and reliability.

Maintaining Observability:

Monitoring and Alerting:

Prometheus and Grafana is a powerful duo that provides comprehensive monitoring capabilities. Prometheus scrapes applications for valuable metrics, while Grafana transforms this data into easy-to-understand visualizations for troubleshooting and performance analysis.

All-in-one Monitoring Solutions:

Tools like New Relic and Datadog offer a broader feature set, including application performance monitoring (APM), log management, and real-time analytics. These platforms help teams to identify and resolve issues before they impact users proactively.

Site Reliability Tools To Ensure High Availability and Scalability:

Container Orchestration:

Kubernetes orchestrates and manages container deployments, guaranteeing high availability and seamless scaling for your applications.

Log Management and Analysis:

The ELK Stack (Elasticsearch, Logstash, Kibana) is the go-to tool for log aggregation and analysis. It provides valuable insights into system behavior and performance, allowing teams to maintain consistent and reliable operations.

Managing Infrastructure

Secret Management:

HashiCorp Vault protects secretes, centralizes, and manages sensitive data like passwords and API keys, ensuring security and compliance within your infrastructure.

Cloud Resource Management:

Tools like AWS CloudFormation and Azure Resource Manager streamline cloud deployments. They automate the creation and management of cloud resources, keeping your infrastructure scalable, secure, and easy to manage. These tools collectively ensure that platform engineering can handle automation scripts, monitor applications, maintain site reliability, and manage infrastructure smoothly.

The Future is AI-Powered:

The platform engineering landscape is constantly evolving, and AI is rapidly transforming how we build and manage software delivery pipelines. The tools like Terraform, Kubecost, Jenkins X, and New Relic AI facilitate AI capabilities like:

  • Enhance security
  • Predict infrastructure requirements
  • Optimize resource security 
  • Predictive maintenance
  • Optimize monitoring process and cost

Conclusion

Platform engineering is becoming the cornerstone of modern software development. Gartner estimates that by 2026, 80% of development companies will have internal platform services and teams to improve development efficiency. This surge underscores the critical role platform engineering plays in accelerating software delivery and gaining a competitive edge.

With a strong foundation in platform engineering, organizations can achieve greater agility, scalability, and efficiency in the ever-changing software landscape. Are you ready to embark on your platform engineering journey?

Building a robust platform requires careful planning, collaboration, and a deep understanding of your team’s needs. At Mantra Labs, we can help you accelerate your software delivery. Connect with us to know more. 

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