AUSTIN, Texas–(BUSINESS WIRE)–Tricentis, a global leader in enterprise continuous testing, today announced the appointment of Jen Lucas as Chief People Officer…
Learn why Synopsys earned the highest score for the Continuous Testing Use Case in Gartner’s latest report. The post Bridging the security gap in continuous testing and the CI/CD pipeline appeared first on Application Security Blog.
As more and more organizations undergo digital transformations, we see a growing trend towards cloud storage, cloud computing, and strategizing testing on the cloud with a DevOps mindset. Continuous testing is an integral part of DevOps.
SmartBear, has been named a Leader in IDC MarketScape: Worldwide Enterprise Automated Software Quality and Continuous Testing for Digital Execution.
Platz to host session on how to break down the walls slowing your SAP software journey MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)-- Wolfgang Platz, Founder and Chief Strategy…
Continuous test strategies can have a major impact on speeding up lead time for continuous delivery of quality software.
Continuous testing is no longer regarded as a speed bump in the DevOps cycle, as it’s increasingly being shown to accelerate application delivery and quality.
Continuous testing as part of CI/CD development assuages concerns about DevOps' priorities and deadlines, with Netsparker Shark from Invicti.
The goal of continuous testing is to simplify, accelerate, and optimize test processes while achieving high quality code with fewer bugs.
Agile and DevOps introduces a Continuous Testing (CT) strategy that helps enterprises accelerate and prioritize testing to meet the needs of fast-paced application delivery.
If companies are to speed up their app delivery pipeline, they need to remember the success of continuous delivery hinges on effective employment of continuous testing.
Delphix Partner Spotlight on Orasi michelle Wed, 10/21/2020 - 13:40 We spoke with Terry Brennan, Managing Director at Orasi, to learn how the company is helping customers blaze new trails in DevSecOps delivery and drive business transformation. Lenore Adam Oct 21, 2020 Tell us about Orasi and your core competencies. We help our customers achieve faster, more predictable, and higher quality software delivery and operations by bringing deep DevSecOps expertise, strong technology partnerships like Delphix, and proven approaches across the DevSecOps spectrum. We offer a breadth of DevSecOps services including assessments, strategy and roadmaps, implementing automation tooling, process change/maturity, facilitating cultural change, and much more. Our core competency is driving client success across the lifecycle by establishing a DevSecOps pipeline with continuous flow into production. This encompasses not only the familiar CI/CD processes but also includes specialized areas such as continuous data, continuous testing, continuous security, and continuous monitoring. Our goal is to bring the front end development, pipeline, security, and ongoing operations together to form a cohesive, efficient system for the many verticals we support—from financial services and healthcare to manufacturing and retail. What do you mean by ‘continuous data’? We work with agile teams throughout the entire software lifecycle—from ideation, development, build, and testing—to ensure the pipeline is production-relevant. That relates to the environment configuration itself as well as the test data used. So we take the CI/CD pipeline and add the concept of continuous data. Essentially continuous data means automating the process of collecting production data, securing it, then providing automated access and restoration for use in the application delivery release train. To establish a high quality, predictable pipeline, shift left testing needs to be as realistic as possible, as early as possible. Without production-quality test data, teams won’t expose the edge cases they need to thoroughly test. They run the risk of not being able to identify a complex data scenario that causes something to blow up further down the pipeline where it’s harder to triage and more expensive to fix. With continuous data, data is now as agile as code. Access to ephemeral test environments that are automatically fed with secure, virtualized data allows dev and test teams to truly move at a pace required by the business. Can you describe how you assess your client’s software pipeline? Most of our clients have started their DevOps journey, and wherever they are in terms of maturity, tooling, and processes we work with them to convert their plan into reality. We have several dozen categories that we look at as part of the assessment—their build and unit test process, how long it takes to get feedback to developers after functional testing, types of tools used, manual processes that can be eliminated, documentation, and more. We start with a standard approach for the assessment, but every customer is different. Some of our larger clients have 20 different tech stacks to address, for example. In the end, we create a custom solution and a detailed roadmap for moving forward. We are not just automating processes; we re-architect processes and help customers think about their pipelines in a completely different way. When we build out the future state we treat all pipeline elements as code. Everything should be integrated into an automated process, so data virtualization is essential. Driving faster testing and delivering test data quickly increases the speed and flow of the entire pipeline. Providing production-relevant data to application teams earlier in the release cycle means not only rapid cycle time but better feedback to address issues, which in turn have an exponential impact on cycle time and application quality. When a pull request is made, for example, all elements of that build are tagged and versioned. If a problem occurs along the pipeline or even after changes are released into production, customers can automatically recreate the exact code changes, database versions used, and test configurations using Delphix. What is the impact of continuous data as clients start to streamline processes? Often clients are completely manual or have some scripting in place, so the improvements that continuous data and continuous testing bring can be pretty significant. In our initial assessment, we may find that running a single change through the pipeline originally takes 8-10 days plus multiple people. But if the pipeline elements are treated as code, all elements are automated and every testbed is working from the exact same virtual database, we can run multiple tests simultaneously. Starting with a clean, predictable state of the test data available to all test environments, we can have unlimited test runs going at the same time. We are able to turn a traditionally serial approach into an extremely efficient parallel process. When they can run multiple changes at the same time and execute to the same purpose using identical datasets, this can be a very powerful transformation. Transitioning from manual serial testing to automated parallel testing is really powerful. Companies have to move to this kind of radical process change to advance what they are doing and meet the incredibly demanding cycle times required by the business. There is an acceleration of business needs that, in turn, requires an acceleration in the delivery of innovation to meet those needs. To move from cycle times that were at best once a quarter, to once a day, or even at every pull request, it’s critical to run tests through the pipeline in parallel. Delphix automates data delivery for immediate access and provides test teams running in parallel with the exact dataset. You mentioned that you help clients improve not only processes and technologies, but also people and culture. How do you go about doing that? We also administer a value stream review to understand where the blockages across the lifecycle and pipeline. We look at the technology and tools needed to improve the process, but we also look at the organization and the people as key elements to building the connective tissue needed for long-term success. For example, people will often focus on a tool that they think will solve all their problems. The tool may add value, but the people may not be trained properly, or culturally they may not be ready to evolve roles and responsibilities. Traditionally, silos were built to keep people separate and focused, and it’s hard to break those down to foster a new era of collaboration. If people aren’t ready for change, aren’t communicating well, and don’t yet understand how the changes will help them do their work better, then they often become roadblocks and sabotage success. When we introduce new technology, we work with the client to understand who the stakeholders are to build a comprehensive training plan and build out an implementation roadmap that involves everyone. Transformation means roles and responsibilities might change in the new equation. We will conduct a POC to see how the technology works but in the end, the technology itself has finite combinations of challenges that can be methodically identified and addressed. People and culture will present an infinite number of challenges. So a key element of the POC is to see how people should be aligned, what processes need to change, and what roadblocks need to be cleared. Customers need to do this before they scale. We live agile ourselves. Delivering on a transformation strategy is all agile in nature. A methodical approach keeps us aligned with the client. We do daily scrums and work in two-week sprints, so they can monitor progress and feel confident in the execution. Tags partner spotlight…
With mobile applications becoming popular day by day, brands are facing the challenge of fulfilling the dynamic demands of the customer and availing the finished product as quickly as possible. Hence the developer and QA teams are looking for technological solutions which are faster, qualitative and convenient. As a result high end technologies like agile, continuous integration and mobile devops are being implemented for mobile applications development. Agile SDLC provides the flexibility to make modular or code changes at any point of time, while continuous integration and mobile devops empower the app development by providing ready to deploy codes at the drop of the hat.Having a continuous testing platform which works on continuous integration and mobile devops environment is the need of the hour but an idol platform will be the one which is dynamic to customers requirements and develops features to make their testing life simpler and easy. pCloudy is a comprehensive continuous testing platform which consists of multiple features to make testing simpler. In this blog we will review pCloudy as a comprehensive testing platform for both mobile and web applications and explore its features which provides a holistic solution for mobile and web application testing. About pCloudy pCloudy is a cloud based continuous testing platform for testing mobile and desktop web applications. It consists of more than 5000 device browser combinations for testing mobile applications which enables cross browser compatibility for all the mobile devices available in the target market. It ensures high speed mobile application testing by enabling continuous testing. It supports multiple integrations like Appium, Jenkins, Jisra, Github, Slack etc to ensure a systematic ci/cd pipeline. It supports integration of AI based futuristic tools like Opkey to enable codeless automation testing. It consists of an independent platform called browser cloud for testing desktop web applications consisting of multiple device browser combinations to support compatibility for various devices in the market. One of the greatest advantages of pCloudy is that being a virtual cloud platform it can be used from anywhere and is accessible for 24/7, also it eliminates the high cost of constructing physical labs.Before exploring the comprehensive features of pCloudy let’s discuss how pCloudy provides efficient manual and automation testing results. Manual testing In pCloudy you can perform functional and non functional testing of mobile applications parallely on various real time mobile devices simultaneously. You can perform testing of both IOS and Android mobile applications. You can get a detailed analytical report of testing as you get a wide variety of statistics like session video, device logs, screenshots, data usage, memory usage, CPU usage, battery consumption and frame rendering count.Testing of applications in real mobile devices will provide accurate results. Parallel testing provides a large testing coverage and also increases the speed of test by multiple folds. Automation testing However systematic your ci/cd pipeline is, you cannot expect efficient results without good automation testing tools and frameworks .pCloudy supports multiple automation tools and frameworks like Appium, Robotilum, Calabash, Espresso etc to increase the performance and quality. A good set of Automation tools and frameworks also produce good continuous testing results. In pCloudy you can perform parallel testing of an application on multiple devices which increases the speed and quality of app testing by multiple folds.For performing automation testing in pCloudy you need to select the automation test suit, the number of devices, the test cycle time, the test suite and test cycle name etc and you are good to go. Executing automation test cycles is very simple and easy in pCloudy, also being a cloud based platform you can carry it anywhere and access it for 24/7. This was a brief on how to perform automation testing in pCloudy.Now let’s explore the latest features of pCloudy to understand their contribution in making testing seamless and easy in pCloudy Browser Cloud Browser cloud is one of the giant features in pCloudy responsible for desktop web application testing. It is basically a cloud of laptops in which you can perform parallel testing of web applications on multiple real devices simultaneously. It consists of multiple device browser combinations to assure the 100% compatibility of application under test against multiple devices in the target market. Wildnet Wildnet is a feature that enables our users to test their internal or private server in any Android or IOS device present in pCloudy. Generally all brands are very skeptical to test their internal or private servers for security reasons and hence require a staging server to perform testing which is very time and cost consuming. Wildnet provides a security shield between your internal server and the devices in the pCloudy, thus eliminating the cost required in setting up a staging platform. Object Spy This feature makes the automation testing very simple by extracting the object names directly from the pCloudy device and runs inspector sessions, instead of extracting from the Appium desktop. QR code/barcode scanner QR code scanners are used by 90% of brands for scanning qr codes for product or user identification, the QR code scanner in pCloudy helps the user to scan any barcode or a QR code on any Android device present in pCloudy. Capability Configurator The capability configurator simplifies the testing task by automatically providing the required information while filtering. While creating automation test scripts you require certain capabilities like device name, platform version, test cycles, test suites, time to run the single device etc. to execute the test cases. Capability filter enables to generate the desired capabilities directly using certain filters. Data Persistent This feature helps the pCloudy admins in data maintenance by enabling them to delete all the older reports based on some settings. Here the user is notified well in advance before deleting any files. App Language Change This feature helps the users from overseas to use pCloudy in their native language. They can change the language of the installed application by using the “App Language Change” in their native language. Conclusion A comprehensive platform having features to make testing faster, qualitative and simpler is the need of the hour and pCloudy is one of its kind platform which has been on the go in delivering innovative features for making testing simpler than ever. Hence pCloudy is highly recommended if you are looking for a mobile application testing platform which is dynamic and delivers high performance mobile applications.EDITOR NOTE: This is a promoted post and should not be viewed as an editorial endorsement.
Incident response tools offer the ability for organizations to not only implement continuous testing but to also shorten the feedback loop from continuous…