Google Compute Engine vs. ReadyAPI

You can use Google Cloud Compute Engine as an option to configure your Gitlab, GitHub, and Azure DevOps self-hosted runners. This allows full control and management of your runners rather than using the default runners, which you cannot manage. Additionally, they can be used as a workspace, which you can provide to the employees, where they can test their workloads or use them as a local host and then deploy to the actual production-grade instance.

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As stated, we do a LOT of API testing, the swaggerhub import makes it easy to add APIs. This is very well-suited, as well as easy management of the steps/cases/suites inside of ReadyAPI. The one thing I do wish ReadyAPI was better suited for is changes to data, we have a lot of test cases in ReadyAPI and if we make a change to how the backend data is structured, one-by-one adjustments need to be made to the steps. Less appropriate, UI testing.

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• Scaling - whether it's traffic spikes or just steady growth, Google Compute Engine's auto-scaling makes sure we've got the compute power we need without any manual juggling acts
• Load balancing - Keeping things smooth with that load balancing across multiple VMs, so our users don't have to deal with slow load times or downtime even when things get crazy busy
• Customizability - Mix and match configs for CPU, RAM, storage and whatnot to suit our specific app needs

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• Ease of use (ability to automatically import API definitions, Jenkins integration for running in the pipeline).
• Detailed test reports (allow to easily identify weak spots during both functional and performance testing).
• One platform for all tests (allows to closely couple and reuse existent tests).

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• Built-in monitoring via Stackdriver is quite expensive for what it provides.
• Initially provided quotas (ie. max compute units one can use) are very low and it took several requests to get an appropriate amount.
• Support on GCE is limited to their knowledge base and forums. For more hands-on support provided by Google, you must pay for their Premium services.

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• Needs good documentation
• Need to improve the performance of the tool
• Setup is very complex and for such [a] commercial tool, it should easy and straightforward
• Tool says it supports security testing but in reality, it is not at an extensive level.

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Its pretty good, easy and good performance. Also, interface is very good for starters compared to competitors. Infra as Code (IaC) using Terraform even added easiness for creation, management and deletion of compute Virtual Machines (VM). Overall, very good and very easy cloud based compute platform which simplified infrastructure, very much recommend.

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The only reason this isn't a '10' is because of the cost. This product is definitely meant for organizations who are serious about making sure they invest in the full ecosystem of API design, development, maintenance. But there is a significant cost associated with this investment. and because of this cost (and the non-tangible output for executives), it is a difficult line-item to justify in this post-pandemic environment.

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Having interacted with several cloud services, GCE stands out to me as more usable than most. The naming and locating of features is a little more intuitive than most I've interacted with, and hinting is also quite helpful. Getting staff up to speed has proven to be overall less painful than others.

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SoapUI allows us to combine multiple tests and adhere
to the sequence that they need to run in order to complete successfully.
It has an excellent GUI design and the reporting mechanism is also very
good. It does consume a lot of memory though during concurrent testing

Google Compute Engine works well for cloud project with lesser geographical audience. It sometimes gives error while everything is set up perfectly. We also keep on check any updates available because that's one reason of site getting down. Google Compute Engine is ultimately a top solution to build an app and publish it online within a few minutes

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Soap UI has managed to continuously build on it's solid foundation and keep improving by each release. It is by far the most dependable and accurate testing tool out there of its kind. Available via connecting to VM's created as SoapUI test machines give access to it anytime, anywhere practically.

It works great all the time except for occasional issues, but overall, I am very happy with the performance. It delivers on the promise it makes and as per the SLAs provided. Networking is great with a premium network, and AZs are also widespread across geographies. Overall, it is a great infra item to have, which you can scale as you want.

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It has an excellent GUI design and the reporting mechanism is also very
good. It does consume a lot of memory though during concurrent testing.

• The documentation needs to be better for intermediate users - There are first steps that one can easily follow, but after that, the documentation is often spotty or not in a form where one can follow the steps and accomplish the task. Also, the documentation and the product often go out of sync, where the commands from the documentation do not work with the current version of the product.
• Google support was great and their presence on site was very helpful in dealing with various issues.

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To be honest, we didnt had much issues with the support, as there is already plenty of online communities available for help. But if ever there were some minor issues with the membership or the certificates, the tech support was always quick and efficient enough to resolve the issue ASAP

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no very easy but lacks documentation

Google Compute Engine provides a one stop solution for all the complex features and the UI is better than Amazon's EC2 and Azure Machine Learning for ease of usability. It's always good to have an eco-system of products from Google as it's one of the most used search engine and IoT services provider, which helps with ease of integration and updates in the future.

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ReadyAPI provides intuitive GUI capabilities compared to their own open source product. When compared to Postman, ReadyAPI also supports SOAP based services, which is a saver especially when integrating with legacy or other third party systems.

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It works really well with other Google Cloud services, making it easy to build scalable solutions across different teams and locations.

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It has an excellent GUI design and the reporting mechanism is also very
good. It does consume a lot of memory though during concurrent testing. However, I have read that added monitoring tools have been added, which if so the 7 could possibly go to a 8 or 9.

• With Google Compute we don't have the overhead of managing our own data centers reducing costs and reducing the staff needed to manage systems.
• As I said earlier, Google's costs are ~1/2 of AWS, so we are able to see a ROI much faster.

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• Very quick regression testing, hence having the testing results very soon, even the same day of deployment
• for same above reason, it can save money for corporation (so no tedious, costly and erroneous manual testings)
• The test reports are compatible with TestNG, so the corporation can integrate the reports in our Autamation frameworks such as Allure or Jira Zephyr

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info