RapidCanvas News

Reliability Testing for A Multi Tenant SaaS Application

April 17, 2023

At RapidCanvas, one of our core tenets is to enable the inclusion of diverse areas of expertise in the machine learning process to improve the overall performance and results.

To that end, the RC platform allows a wide range of users to collaborate on the platform to accelerate their machine learning initiatives and work together in real-time. RapidCanvas platform can be used by expert data scientists, citizen data scientists, data engineers, business users, and subject matter experts with varying levels of expertise in data science and programming. As a platform, RC also enables rapid prototyping and gives the organizations best time-to-value.

Being a multi-tenant platform, it has the capability to serve multiple customers and users simultaneously with optimization of available resources and fine tuning to perform tasks.

Reliability testing is an essential part of software testing that focuses on ensuring that a software application is reliable and performs consistently under various conditions. For multi-tenant applications like RapidCanvas, reliability testing becomes even more critical as the application is expected to serve multiple tenants simultaneously, each with their unique data and requirements.

In this blog, we will discuss reliability testing for multi-tenant applications and the key considerations for testing such applications. Reliability testing helps identify any performance bottlenecks, scalability issues, or other problems that may affect the application's performance and reliability.

Characteristics of Multi-Tenancy Testing

Here are some characteristics of multi-tenancy testing:
  1. Isolation and segregation of tenant data: Multi-tenancy testing should verify that each tenant’s data is isolated and segregated from other tenants, and that the software can handle multiple tenants concurrently without any adverse impact on the performance or stability of the system.
  2. Scalability and performance: Multi-tenancy testing should evaluate the software’s scalability and performance under different workloads and conditions, and identify any bottlenecks or issues that may impact the software’s ability to support multiple tenants concurrently.
  3. Security and privacy: Multi-tenancy testing should verify the confidentiality and integrity of each tenant’s data, and ensure that the software adheres to any regulatory or compliance requirements. This may involve testing the software’s authentication and authorization mechanisms, as well as its protection against vulnerabilities such as SQL injection and cross-site scripting (XSS).
  4. Compatibility: Multi-tenancy testing should verify that the software is compatible with different platforms, devices, and browsers and that it provides a consistent user experience for all tenants.
  5. Integration with other systems: Multi-tenancy testing should verify that the software integrates correctly with other systems and services and that it can exchange data as expected.

Testing of Multi-Tenant Systems

Testing of multi-tenancy systems is the process of verifying that a multi-tenancy system is functioning correctly and meeting the requirements of the tenants. This can involve testing the isolation and security of the data for each tenant, as well as the overall performance and scalability of the system.

Here are some specific types of tests that might be performed in the testing of a multi-tenancy system:

  • Data leak testing: This type of testing verifies that there are no unauthorized data leaks or disclosures between tenants or external parties. This can involve testing the security controls in place to prevent data leaks, as well as monitoring the system for any suspicious activity.
  • Multi-tenant system under load: This type of testing verifies that the system can handle the expected workload and traffic from multiple tenants without experiencing performance issues. This can involve simulating different levels of load and traffic to see how the system performs.
  • License testing: This type of testing verifies that the system is complying with any relevant licensing requirements, such as usage limits or terms of service. This can involve verifying that the system is tracking and enforcing usage limits and that it is providing the required features and functionality to the tenants.
  • Security testing: This type of testing verifies that the system is secure and that it meets any relevant security standards or requirements. This can involve testing the system for vulnerabilities, such as vulnerabilities in the code or infrastructure, and verifying that the system has appropriate access controls and authentication mechanisms in place.
  • Automation testing: This type of testing uses automated tools and processes to test the system, with the goal of improving efficiency and accuracy. Automation testing can be used to test various aspects of the system, such as functionality, performance, and security.

How can Reliability be ensured for Multi-Tenant Application?

The primary goal of a QA team working on a multi-tenant application should be to ensure that the software is stable, scalable, and able to handle the increased workload and resource usage that comes with supporting multiple tenants concurrently.

Here is a general overview of the steps we perform at RapidCanvas before any releases:

  1. Identify the requirements: This step involves identifying expectations for the software’s multi-tenancy capabilities. This includes determining the number and type of tenants that the software should be able to support simultaneously, as well as any specific requirements for data isolation, security, and performance.
  2. Set up a test environment: It involves setting up a test environment that simulates the expected usage and workload of the software by multiple tenants. This involves creating multiple tenant accounts and populating each account with test data.
  3. Perform various types of testing: Various testing types are carried out to evaluate the software’s multi-tenancy capabilities. This includes load testing to verify the system’s ability to handle multiple tenants concurrently, functional testing to verify the isolation and segregation of each tenant’s data, and security testing to verify the confidentiality and integrity of each tenant’s data.
  4. Result analysis: The results of the testing are analyzed to identify any issues or problems with the software’s multi-tenancy capabilities. This involves collecting and analyzing performance metrics, such as response times and resource usage, to identify any bottlenecks or issues with scalability.
  5. Address issues: Any issues or problems identified during testing are addressed and the software is retested to ensure that it meets the requirements and expectations for multi-tenancy. This may involve modifying the software’s code, configurations, or infrastructure to improve performance and scalability.
  6. Deploy software to production: Once the software has been thoroughly tested and any issues have been addressed, it is deployed to production and made available to multiple tenants. Ongoing monitoring and testing is performed to ensure that the software continues to meet the needs of its tenants over time.

To summarize, multi-tenant architecture is designed in such a way that every tenant may get to share databases, tables, functionality/features, and some non-functional items. The major risks that are involved in this type of architecture are data leaks, security, and the isolation level of the system.

At RapidCanvas, we strongly believe that reliability testing is critical for multi-tenant applications to ensure that the application is reliable and performs consistently under various conditions. Load testing, scalability testing, failover testing, and security testing are key considerations for reliability testing of multi-tenant applications.

Our key goal is to provide a seamless experience that meets the user's expectations and improves customer satisfaction.

To achieve this our QA team performs an exhaustive set of tests that needs to be executed before releasing a multi-tenant system into production.

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