Debunking the 5 top SaaS application testing myths
As the digital transformation continues to fuel DevOps, and teams are challenged to release value to customers faster, the cloud and its benefits in the forms of SaaS, PaaS, and others are becoming standard. With the shift to cloud and SaaS solutions, teams are also facing myths around the abilities of SaaS to solve material problems.
In this post, I’ll try and address the top 5 most common myths around SaaS/Cloud app testing solutions. Some of these myths are not just for testing in DevOps but are also valid for Dev and Ops objectives.
Top 5 myths of SaaS testing
- Performance of testing in the cloud is not as high as testing locally
- Reliability of testing in the cloud isn’t consistent enough
- Security and enterprise readiness are compromised
- Control over data isn’t enough
- Cost of moving to the cloud is higher than testing in-house
Myth #1 debunked: Performance of SaaS solutions
Countless research and my own experience prove this myth to be wrong. Cloud infrastructure is more stable, always on and always available to support testing done at scale and from remote compared to locally tailored solutions. Executing mobile and/or web testing that is backed by cloud vendors that use advanced technologies ensure high performance of spinning up new VMs or launching a new device for testing. Cloud also boosts performance with the ability to place platforms in multiple geo-locations that makes the overall network traffic faster and less lengthy, compared to a single point of failure that in many cases is far from the testing teams’ desktops.
Myth #2 debunked: Reliability of testing isn’t consistent
Especially when testing digital apps that include mobile and web applications, testing teams and developers often get false negatives, platforms that are either disconnected from the network, popup alerts and many other environmental issues. These both impact the reliability of the test execution and obviously the value of the test results themselves. Cloud solutions can monitor and ensure continuous execution and connectivity of platforms to the network with features such as self-healing, releasing blocked platforms and more quality visibility features that are not available in-house.
Cloud lives 24×7 while our teams work until the evening. That means that when the working day is over, the element of luck comes into play and teams can only wish that their regression tests will continue to run overnight without being able to control the environment and fix issues as they occur. Cloud and SaaS providers work according to SLAs and employ NOC specialists that guarantee flawless operation of the services.
Lastly, cloud solutions have in their data centers the most reliable hardware and infrastructure network solutions to ensure the abovementioned service.
Myth #3 debunked: Security and enterprise readiness
This is probably the oldest myth out there, and I do hope that with this blog we can put this one to bed.
Security is top of mind for cloud and SaaS platform providers, and as a matter of fact, is the number one reason for enterprises to shift to such solutions. Only cloud providers can guarantee proper governance of the platforms, cleanup between executions, devices not getting lost, data retention policy for future audit, compliance with strict regulations like HIPAA/PCI DSS and more.
Testing and development done in-house are not only error-prone but also highly exposed to security vulnerabilities. Test engineers and developers have their daily objectives, but there aren’t CSOs or security experts to handle data privacy, device protection processes and other activities that will keep both production and blackened services private and safe. Cloud application SaaS providers have figured out years ago the formula to 100% safety in testing in private clouds with compliance to the strict network and security requirements.
Myth #4 debunked: Controlling data issues
When doing test automation of any kind (functional, non-functional, API, Unit, etc.), having full control of the test data, the test artifacts that result in the execution of tests, the test environment data and more are critical to success. The thing with that key pillar is the scale of data that keeps growing as we mature our Agile and DevOps processes. The scale keeps growing, and managing, controlling and backing it properly is often becoming a full-time job for test engineers.
Cloud-based automation testing tools are the only way to control, scale, modify on-demand, and get the highest value of such data. Teams can and should rely on a system that is always available for them to target their testing against, and a system that responds reliably to their service calls, and other activities that occur during their continuous testing.
Myth #5 debunked: Cost-effectiveness
The cost of moving to the cloud is probably as common as the security myth. Teams that have invested tons of time, money, resources, and continuous IT/R&D support often find themselves trying to justify this investment as they continue to maintain, upgrade platforms, resolve environmental issues and deal with flakiness.
If teams would go back and evaluate the overall cost that was invested and still is in maintaining a mobile/web app testing lab in a DIY (Do it Yourself) fashion, they will find that their ROI is not even close to what SaaS testing tools can offer.
Cloud solutions, especially for testing in the digital/DevOps era, is built from the bottom up to handle large scalability, maintain, upgrade and ensure 100% uptime of the services during and after working hours. In addition, when teams are required to manage their own lab in addition to their Dev/Test activities, not only they are not 100% performing their daily job of ensuring quality, but they are also carrying the huge frustration of dealing with IT/Ops problems rather than product roadmap and delivery items.
SaaS automation wins out
Cloud and SaaS solutions have won the battle in my humble opinion years ago. There are no proven DIY solutions that come even close to the abilities of cloud solutions to offer the breadth or depth of testing of mobile and web apps, debugging, data retention, advanced global testing abilities, scalability of testing across platforms with burst and more.