CommunityDevOps ExchangePartners
10 minutes

Cloud-Native Testing Automation: A Comprehensive Guide

Written by
Team Copado
Table of contents

Cloud-native testing automation empowers DevOps teams to achieve unmatched efficiency and agility throughout the software development lifecycle. Leveraging cloud-based resources, this approach ultimately automates and scales testing processes directly in the cloud, significantly helping organizations streamline the process from development to deployment. 

But, where to start?

While the benefits of cloud-native testing automation are clear, there are questions that your DevOps team may have, such as  identifying the specific tools needed for your organization, how to choose the right cloud  provider, and best practices for automation testing. 

In this guide, we will explore everything you need to know about cloud-native testing automation to help get you set up for success. We’ll also talk about how Copado can be your partner in this journey.

Understanding Cloud-Native Testing Automation

Cloud-native testing automation may sound like a lot of mumbo-jumbo, but essentially, it describes how automation can be integrated with testing processes directly into the cloud infrastructure. By leveraging cloud-based resources to simulate real-world scenarios, teams can utilize automation testing tools in order to manage scalable testing environments.

This approach aligns perfectly with the DevOps philosophy of continuous integration and continuous delivery (CI/CD), facilitating a seamless workflow from code development to deployment, while saving a lot of time and resources for the organization overall.  This capability ensures that software products are not only delivered faster but also meet the high standards of performance and reliability expected by users.

What are the Advantages of Adopting Cloud Testing Strategies?

The relationship between automation and cloud-native testing environments is more about optimization and synergy than necessity. Automation doesn't have to be exclusively done in cloud-native environments, nor do cloud-native testing environments exclusively require automation. However, combining the two leverages the strengths of each to offer significant advantages:

  • Scalability and Flexibility: Cloud-native environments can quickly scale up or down based on testing needs, which can be done more  easily with automation. For instance ,automated testing scripts can dynamically adjust to changes in the environment, making efficient use of resources.
  • Speed and Efficiency: Automation speeds up the overall testing process, allowing for more tests to be conducted in less time. When paired with the cloud's on-demand resources, it means tests can be run anytime, with results available faster. This, of course, speeds up the development and deployment cycle overall. 
  • Cost-Effectiveness: With cloud-native environments, you generally only pay for the resources you use. Automation maximizes the utility of these resources by ensuring that testing is both thorough and fast, which can lead to cost savings by avoiding the need for extensive physical testing infrastructure.
  • Reliability and Consistency: Automated tests ensure consistent execution, reducing human error. When these tests are run in a cloud-native environment, they benefit from a stable, controlled setting that closely mirrors production environments, enhancing test reliability.
  • Worldwide Accessibility: Automation in cloud-native environments makes testing resources accessible to distributed teams worldwide. This is particularly beneficial for organizations with remote developers and testers, ensuring they can perform tests at any time, from any location.
  • Integration with DevOps: Both cloud-native environments and automation are key components of a DevOps approach, which emphasizes a CI/CD approach. Automation in a cloud-native setting supports these practices by enabling more frequent releases and quicker feedback loops.

What About the Challenges?

While cloud testing presents many opportunities for efficient DevOps teams,  it also comes with its set of challenges that are important to consider. Here are some of those challenges and what can be done on the surface level to address them.

  • Ensuring Data Privacy and Security: In cloud environments, data is stored off-premises and often managed by third-party providers, creating potential vulnerabilities. Tise shared nature of cloud services can introduce risks related to unauthorized access or data breaches, especially if the cloud provider's security measures are not up to par with the organization's standards. Be sure to implement encryption and secure access controls to safeguard sensitive information in the cloud.
  • Integrating with Legacy Systems: Many organizations use a mix of cloud-based and on-premise systems. Legacy systems, in particular, might not have been designed to communicate with cloud services, leading to compatibility and integration issues. This disconnect can hinder seamless workflow and data exchange between cloud-native testing tools and existing infrastructure. Therefore, you’ll want to choose tools and services that offer strong compatibility and integration capabilities.
  • Latency and Bandwidth Limitations: The physical distance between the user and the cloud service provider's data centers can cause latency in data transmission and thus operations. Similarly, limited bandwidth can slow down the transfer of large volumes of test data, affecting test execution speed and efficiency of development to deployment. So, you’ll want to opt for cloud providers with strategically located data centers to minimize latency.
  • Limited Customization Options: Cloud services often come with predefined settings and capabilities. While this can simplify setup and use, it may not meet specific testing requirements or preferences of an organization, limiting the ability to tailor testing environments to exact needs. Select cloud services that allow for flexible environment customization to meet testing needs, like Copado.
  • Monitoring and Visibility Concerns: The distributed nature of cloud services in general can make it difficult for organizations to monitor and control their testing environments closely. Using cloud monitoring tools to enhance visibility and control over testing activities can help. 

The Key Types of Cloud Testing

As you may already know, cloud testing is essential for ensuring the reliability, performance, and security of applications hosted within your cloud environment. But, it’s not as straightforward as it sounds. There are many different types of testing you can do within the cloud, depending on what you’re looking to achieve with the test. 

Here’s a concise overview of the key types of cloud testing:

  • Functional Testing: This ensures that every function of the cloud application operates in line with the specified requirements. It includes UI testing, which focuses on the application's graphical interface to confirm it meets design specifications and offers a positive user experience.
  • Performance Testing: Assesses application speed, scalability, and stability under various loads. This includes Load Testing, where the application is tested under expected load conditions, and Stress Testing, which tests beyond normal operational capacity to determine the application's breaking point.
  • Security Testing: This type of testing identifies vulnerabilities in the cloud environment to protect data and resources from breaches. It covers data integrity, confidentiality, authentication, authorization, and compliance with security standards.
  • Compatibility Testing: Ensures the cloud-based application functions seamlessly across different platforms, browsers, and devices, enhancing the user experience overall. 
  • Integration Testing: This type of testing verifies that the application works smoothly with other services within the same or multiple cloud environments, ensuring that integrated components function collectively as intended.
  • Disaster Recovery Testing: Evaluates the cloud application’s disaster recovery plan to ensure it can handle failures effectively and maintain continuity.
  • Latency Testing: Measures the time it takes for a data packet to travel from one point to another in the cloud, which is essential for applications requiring real-time responses.

As you can see, each type of testing is aimed at addressing specific aspects of cloud application. This is so that DevOps teams can test for different things, whether it be performance, security, functionality, or all of these. Testing is done in order to deliver a consistent and reliable user experience across all cloud services and infrastructures.

How to Do Automation Testing in a Cloud-Native Environment: A Step-by-Step Guide

There’s more than one way to initiate testing in your cloud environment, and automate aspects of that testing. 

Again, this will look different for every organization, depending on their specific environment, goals, and what you’re testing. All this considered, there is a universal approach to cloud-native testing here at Copado that encapsulates the continuous integration (CI) and continuous delivery (CD) pipeline within the framework of planning, building, testing, delivering, and monitoring. But, that’s just a guideline. Let’s break this down a little bit more in the context of cloud-native testing:

Step 1: Define Your Testing Goals (Plan)

Start the testing process by comprehensively understanding your application's functionality, performance requirements, anticipated launch time, as well as security needs. Be sure that your testing goals align with the broader development and business objectives. Consider taking an 80/20 approach to this; the more time you spend planning, the less time you’ll hopefully need to execute it, and the faster you’ll get to deployment. 

Step 2: Select the Right Cloud Service Provider (Build)

If you’re not yet in the cloud or you want to ensure your current environment is capable of the type of automation testing you need, take a moment to understand whether or not you have the appropriate tools and service at your disposal. Evaluate potential cloud service providers based on their ability to meet your specific testing needs.

Consider factors such as the range of services offered, scalability, security features, and compliance with industry standards. Additionally, assess the level of support and documentation available, as this will be necessary for your DevOps teams when navigating any challenges.

Step 3: Configure Your Testing Environment (Test)

Strive to replicate your production environment within the cloud as closely as possible. This includes configuring similar network setups, security measures, as well service integrations to ensure accurate testing results.

Take advantage of the unique features offered by cloud environments, such as auto-scaling, to test under various conditions and loads. This step is vital for understanding how your application behaves in response to changes in demand.

Step 4: Implement Automation (Deliver)

Now it’s time to select automation tools that integrate well with your cloud provider and align with your testing needs. Tools should be chosen based on ease of use, integration capabilities with your CI/CD pipeline, and the ability to handle the types of tests you require.

Automation can mean a number of different things. Focus on automating repetitive testing tasks, including test case execution, data setup, and environment provisioning. This not only speeds up the testing process but also reduces the chance of human error.

Step 5: Monitor and Analyze (Monitor)

Implement continuous monitoring of your tests to quickly identify and address failures. Monitoring tools can provide real-time insights into performance issues such as  bottlenecks, security vulnerabilities, and other potential functionality problems.

Therefore, be sure to regularly analyze test results to identify trends, uncover areas of improvement, and refine your testing strategies. This continuous feedback loop is key to enhancing the quality and reliability of your application.

Real-World Application of Cloud Testing Automation

So, how does this all look like in the real world? What is the purpose of testing, beyond the obvious implications? Incorporating cloud testing automation into development workflows enables companies to realize significant benefits long-term. These include:

  • Faster Release Times: Automated cloud tests can run 24/7, drastically reducing the time from development to deployment.
  • Improved Software Quality: Continuous testing in cloud environments ensures high software quality by catching issues early in the development cycle.
  • Enhanced Performance and Security: By simulating real-world traffic and attack scenarios, companies can better understand their application’s resilience and security posture.
  • Testing-as-a-Service (TaaS): TaaS platforms offer a comprehensive testing environment that can be accessed remotely, making it easier for distributed teams to collaborate and enhance test coverage and efficiency.
  • Staying ahead of the competition: Companies who utilize automation and cloud-native testing tend to be more willing to innovate, which can have benefits in terms of staying ahead of your competitors.

Copado’s Cloud Testing Automation: A Case Study

AI is playing a major role in the way companies execute  a variety of different tasks, including cloud testing. In this case study, we discuss how FOX will be able to do 10X faster regression testing with less coding, all by leveraging Copado’s self-healing AI. Our technology helps support this type of rapid and efficient testing by keeping those regression tests from breaking each time the application changes. 

With these capabilities, Fox also aims to help customers build and execute mobile tests directly in the cloud with Copado’s all-cloud mobile testing. This will eliminate clunky and costly infrastructure, slow delivery or lost devices.

Get Started With Automation Cloud-Native Testing With Copado

Utilizing scalable environments, automation tools, and strategic testing can elevate software quality and efficiency for your organization. 

Where are you now in your test automation journey? We can help by guiding you with the right questions in order to evaluate where you stand. Take the assessment now, then let Copado assist your talented DevOps in this next phase of your business development. 

Book a demo

About The Author

#1 DevOps Platform for Salesforce

We build unstoppable teams by equipping DevOps professionals with the platform, tools and training they need to make release days obsolete. Work smarter, not longer.

Copado and Wipro Team Up to Transform Salesforce DevOps
DevOps Needs for Operations in China: Salesforce on Alibaba Cloud
What is Salesforce Deployment Automation? How to Use Salesforce Automation Tools
Maximizing Copado's Cooperation with Essential Salesforce Instruments
Future Trends in Salesforce DevOps: What Architects Need to Know
From Chaos to Clarity: Managing Salesforce Environment Merges and Consolidations
Enhancing Customer Service with CopadoGPT Technology
What is Efficient Low Code Deployment?
Copado Launches Test Copilot to Deliver AI-powered Rapid Test Creation
Cloud-Native Testing Automation: A Comprehensive Guide
A Guide to Effective Change Management in Salesforce for DevOps Teams
Building a Scalable Governance Framework for Sustainable Value
Copado Launches Copado Explorer to Simplify and Streamline Testing on Salesforce
Exploring Top Cloud Automation Testing Tools
Master Salesforce DevOps with Copado Robotic Testing
Exploratory Testing vs. Automated Testing: Finding the Right Balance
A Guide to Salesforce Source Control
A Guide to DevOps Branching Strategies
Family Time vs. Mobile App Release Days: Can Test Automation Help Us Have Both?
How to Resolve Salesforce Merge Conflicts: A Guide
Copado Expands Beta Access to CopadoGPT for All Customers, Revolutionizing SaaS DevOps with AI
Is Mobile Test Automation Unnecessarily Hard? A Guide to Simplify Mobile Test Automation
From Silos to Streamlined Development: Tarun’s Tale of DevOps Success
Simplified Scaling: 10 Ways to Grow Your Salesforce Development Practice
What is Salesforce Incident Management?
What Is Automated Salesforce Testing? Choosing the Right Automation Tool for Salesforce
Copado Appoints Seasoned Sales Executive Bob Grewal to Chief Revenue Officer
Business Benefits of DevOps: A Guide
Copado Brings Generative AI to Its DevOps Platform to Improve Software Development for Enterprise SaaS
Celebrating 10 Years of Copado: A Decade of DevOps Evolution and Growth
Copado Celebrates 10 Years of DevOps for Enterprise SaaS Solutions
5 Reasons Why Copado = Less Divorces for Developers
What is DevOps? Build a Successful DevOps Ecosystem with Copado’s Best Practices
Scaling App Development While Meeting Security Standards
5 Data Deploy Features You Don’t Want to Miss
Top 5 Reasons I Choose Copado for Salesforce Development
How to Elevate Customer Experiences with Automated Testing
Getting Started With Value Stream Maps
Copado and nCino Partner to Provide Proven DevOps Tools for Financial Institutions
Unlocking Success with Copado: Mission-Critical Tools for Developers
How Automated Testing Enables DevOps Efficiency
How to Keep Salesforce Sandboxes in Sync
How to Switch from Manual to Automated Testing with Robotic Testing
Best Practices to Prevent Merge Conflicts with Copado 1 Platform
Software Bugs: The Three Causes of Programming Errors
How Does Copado Solve Release Readiness Roadblocks?
Why I Choose Copado Robotic Testing for my Test Automation
How to schedule a Function and Job Template in DevOps: A Step-by-Step Guide
Delivering Quality nCino Experiences with Automated Deployments and Testing
Best Practices Matter for Accelerated Salesforce Release Management
Maximize Your Code Quality, Security and performance with Copado Salesforce Code Analyzer
Upgrade Your Test Automation Game: The Benefits of Switching from Selenium to a More Advanced Platform
Three Takeaways From Copa Community Day
Cloud Native Applications: 5 Characteristics to Look for in the Right Tools
Using Salesforce nCino Architecture for Best Testing Results
How To Develop A Salesforce Testing Strategy For Your Enterprise
What Is Multi Cloud: Key Use Cases and Benefits for Enterprise Settings
5 Steps to Building a Salesforce Center of Excellence for Government Agencies
Salesforce UI testing: Benefits to Staying on Top of Updates
Benefits of UI Test Automation and Why You Should Care
Types of Salesforce Testing and When To Use Them
Copado + DataColada: Enabling CI/CD for Developers Across APAC
What is Salesforce API Testing and It Why Should Be Automated
Machine Learning Models: Adapting Data Patterns With Copado For AI Test Automation
Automated Testing Benefits: The Case For As Little Manual Testing As Possible
Beyond Selenium: Low Code Testing To Maximize Speed and Quality
UI Testing Best Practices: From Implementation to Automation
How Agile Test Automation Helps You Develop Better and Faster
Salesforce Test Cases: Knowing When to Test
DevOps Quality Assurance: Major Pitfalls and Challenges
11 Characteristics of Advanced Persistent Threats (APTs) That Set Them Apart
7 Key Compliance Regulations Relating to Data Storage
7 Ways Digital Transformation Consulting Revolutionizes Your Business
6 Top Cloud Security Trends
API Management Best Practices
Applying a Zero Trust Infrastructure in Kubernetes
Building a Data Pipeline Architecture Based on Best Practices Brings the Biggest Rewards
CI/CD Methodology vs. CI/CD Mentality: How to Meet Your Workflow Goals
DevOps to DevSecOps: How to Build Security into the Development Lifecycle
DevSecOps vs Agile: It’s Not Either/Or
How to Create a Digital Transformation Roadmap to Success
Infrastructure As Code: Overcome the Barriers to Effective Network Automation
Leveraging Compliance Automation Tools to Mitigate Risk