Welcome!

@CloudExpo Authors: Liz McMillan, Zakia Bouachraoui, Yeshim Deniz, Pat Romanski, Elizabeth White

Related Topics: @CloudExpo, Microservices Expo, Open Source Cloud, Containers Expo Blog, Cloud Security, SDN Journal, FinTech Journal

@CloudExpo: Article

Open Source Cloud Computing Testing Tools

Testing tools and frameworks are infinitely useful when planning cloud architecture for many reasons

Testing tools and frameworks are infinitely useful when planning cloud architecture for many reasons.

“The confidence of a well-tested codebase brings the ability to deploy quickly, and often. Testing infrastructure assures that incremental changes to the codebase do not affect the overall application performance,” said Omid Rahmat, president, Burnside Digital.

One of the Rahmat’s favorite testing tools is rspec, used for ruby applications. Rahmat said it takes a "behavior-driven" approach to testing. “We follow the best practices of writing tests that explain what our code should do before writing it. This gives us a clear path to follow to implement solutions with great confidence and far fewer defects. Having that test and seeing it pass lets us know that we have written features to specification.”

Other popular testing tools include:

SoapUI. According to SoapUI Developer Erik Yverling at SmartBear, SoapUI is a functional testing tool used for testing web services and APIs and provides extensive support for various kinds of protocols such as SOAP, REST, HTTP, JMS and JDBC. “The reason why you want to use SoapUI, is that it's easy to get started with. It requires no programming knowledge, but is still very powerful and has extensive scripting support for all kinds of advance use cases."

LoadUI. LoadUI is the one of the world's most downloaded load testing software. It's free, open-source and easily extendable using Groovy. LoadUI can also integrate with SoapUI, letting you leverage existing functional tests when load testing. “LoadUI helps you answer the questions: Does it perform? Does it scale? What are the bottlenecks? Is the experience consistent for users on different continents?” said Henrik Olsson, Product Owner for LoadUI, with SmartBear.

TestMaker. As the Cyber Security and Information Systems Information Analysis Center website explained, “PushToTest TestMaker is a distributed test environment. TestMaker runs your tests on your test equipment, in a Cloud Computing environment, or both. TestMaker introduces specific commands to support automatic Cloud Testing. For example, identify a cloud testing service like Amazon EC2 in a TestScenario. TestMaker creates the TestNodes in EC2 instances, runs the test, retrieves the results, and takes down the EC2 instances. All in a ‘lights out’ manner for full Cloud Test automation.”

More Stories By Sue Poremba

Sue Poremba blogs for Rackspace Hosting. Rackspace Hosting is the service leader in cloud computing, and a founder of OpenStack, an open source cloud operating system. The San Antonio-based company provides Fanatical Support to its customers and partners, across a portfolio of IT services, including Managed Hosting and Cloud Computing.

CloudEXPO Stories
With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will detail these pain points and explain how cloud can address them.
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-centric compute for the most data-intensive applications. Hyperconverged systems already in place can be revitalized with vendor-agnostic, PCIe-deployed, disaggregated approach to composable, maximizing the value of previous investments.
When building large, cloud-based applications that operate at a high scale, it's important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. "Fly two mistakes high" is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Lee Atchison, Principal Cloud Architect and Advocate at New Relic, discussed how this same philosophy can be applied to highly scaled applications, and can dramatically increase your resilience to failure.
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by sharing information within the building and with outside city infrastructure via real time shared cloud capabilities.
As Cybric's Chief Technology Officer, Mike D. Kail is responsible for the strategic vision and technical direction of the platform. Prior to founding Cybric, Mike was Yahoo's CIO and SVP of Infrastructure, where he led the IT and Data Center functions for the company. He has more than 24 years of IT Operations experience with a focus on highly-scalable architectures.