app testing

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Published By: AWS     Published Date: Oct 01, 2019
Containers have become the new infrastructure standard for development teams. While the “DIY container approach” (un-orchestrated containers) still has its use cases (e.g. low latency, longer compute jobs, predictable traffic), production-grade deployments require orchestration. DevOps teams are increasingly leveraging the benefits of Kubernetes and accelerating its adoption, taking it from a 27% adoption rate in 2018 to a 48% adoption rate in 2019 according to the RightScale “2019 State of the Cloud Report,” from Flexera. The same report also positions Amazon Elastic Kubernetes Service (Amazon EKS) as one of the fastest-growing managed Kubernetes offerings available, with a 44% adoption rate. Previously, containers were a technology deployed by individual teams – and were typically used for “application testing” in the enterprise world. Today, many organizations are now not only seeing the benefits of operationalizing containers to deploy production applications, but also re-positioni
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AWS
Published By: CheckMarx     Published Date: Sep 25, 2019
Looking for a new Application Security Testing vendor? See what customers have to say about Checkmarx and why we were named a June 2019 Customers’ Choice for Application Security Testing on Gartner Peer Insights!
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CheckMarx
Published By: Tricentis     Published Date: Aug 19, 2019
Think back just 5 years ago. In 2014… • The seminal DevOps book—Gene Kim’s The Phoenix Project—was one year old • Gartner predicted that 25% of Global 2000 enterprises would adopt DevOps to some extent by 20161 • "Continuous Testing” just started appearing in industry publications and conferences2 • Many of today’s popular test frameworks were brand new—or not yet released • The term “microservices” was just entering our lexicon • QC/UFT and ALM were still sold by HP (not even HPE yet) • Only 30% of enterprise software testing was performed fully “in house”3 • There was no GDPR restricting the use of production data for software testing • Packaged apps were typically updated on an annual or semi-annual basis and modern platforms like SAP S/4HANA and Salesforce Lightning hadn’t even been announced Times have changed—a lot. If the way that you’re testing hasn’t already transformed dramatically, it will soon. And the pace and scope of disruption will continue to escalate throughout the fo
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Tricentis
Published By: CheckMarx     Published Date: Jun 21, 2019
DevSecOps, modern web application design and high-profile breaches are expanding the scope of the AST market. Security and risk management leaders will need to meet tighter deadlines and test more complex applications by accelerating efforts to integrate and automate AST in the software life cycle.
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CheckMarx
Published By: Red Hat     Published Date: Jun 19, 2019
The days of monolithic application development are over. And while “digital transformation” may sound like a fancy buzzword that ranks alongside blockchain, agile, and cloud, it’s not all hype. With transformation comes unprecedented levels of speed, consistency, and efficiency that are fundamentally changing the way developers do their jobs. Yes, that includes you. Much of the burden and pressure to deliver on the promises made by the business falls on the shoulders of IT developers. In a world where users demand new applications, features, and updates across all their devices in real time, container technology is your secret weapon. Containers let you work smarter by creating consistent development environments to rapidly develop and deliver cloud-native applications that can run anywhere. With containers, you can also deliver microservices that eliminate lengthy regression testing cycles, deploy without disruption, and provide a mechanism for patching or rolling back code on a featu
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Red Hat
Published By: Marketo     Published Date: Feb 11, 2019
Advertising has evolved. No longer is it restricted to print publications, static billboards, radio, and television. Modern technologies have opened the door to a whole new era of advertising–digital advertising. Digital advertising allows marketers and advertisers to reach and appeal to their core audiences in new ways and with more precision. The challenge of meeting the modern buyer's expectation of a continuous, cross-channel, and personal experience is met with new ad technology and innovations that continue to advance at break-neck speeds. New ad technology platforms, types of ads, methods of tracking, dynamic ad content, and advances such as the Internet of Things now provide endless opportunities for marketers and advertisers to engage their customers personally and across channels. In this comprehensive, 110+ page guide, we cover topics from the evolution of digital advertising, to how to structure your digital marketing team, to testing and optimization. Loaded with checkli
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Marketo
Published By: Stratoscale     Published Date: Feb 01, 2019
This eBook offers a practical hands-on guide to analyzing and mitigating the risks of migrating to PostgreSQL. With the ongoing shift towards open-source database solutions, it’s no surprise that PostgreSQL is the fastest growing database. While it’s tempting to simply compare the licensing costs of proprietary systems against that of open source, it is both a misleading and incorrect approach when evaluating the potential for return on investment of a database technology migration. A key decision criteria for adopting any technology is whether it can support requirements for existing applications while also fitting into longer term strategies and needs. The first section of this eBook provides a detailed analysis of all aspects of migrating from legacy and commercial solutions to PostgreSQL: ? Schema and code migration ? Data migration ? Application code migration ? Testing and evaluation
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Stratoscale
Published By: Tricentis     Published Date: Jan 22, 2019
Recent SAP advancements such as SAP S/4HANA and SAP Fiori 2.0 enable the agile, modular and distributed enterprise application environment necessary for successful Digital Transformation. However, as organizations upgrade, it becomes increasingly clear that conventional (manual) software testing approaches can’t satisfy the new business demands. Read this paper to learn: Why traditional manual testing can’t handle the increased demands on testing How SAP test automation addresses these shortcomings How SAP test automation helped leading enterprises accelerate testing, reduce business risk, and streamline the SAP S/4HANA migration process
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Tricentis
Published By: Oracle     Published Date: Jan 09, 2019
The Accenture Oracle data team has more than 20,000 professionals, who aid in delivering 50 billion transactions a day across more than three exabytes of data for clients globally. Accenture Oracle data specialists recently put the Oracle Autonomous Data Warehouse to a rigorous performance test to provide a real-life application usage experience. The data was then extrapolated and expanded to nine years’ worth of data to test the performance. Learn directly from Accenture experts about testing methodology and results that enable them to deliver more data intelligence faster to the enterprise and transform the way people live and work.
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Oracle
Published By: Oracle OMC     Published Date: Oct 26, 2018
Mobile Device and Audience Testing: Difference between mobile, web, and apps 4 steps to Shaping Mobile Experience The Nuts & Bolts of Testing 7 Ways to Speed Development Time for Your Tests
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Oracle OMC
Published By: CA Technologies EMEA     Published Date: Sep 30, 2018
If you’re relying on manual processes for testing applications, artificial and automated intelligence (AI) and machine learning (ML) can help you build more efficient continuous frameworks for quality delivery. In this on-demand webinar, “Continuous Intelligent Testing: Applying AI and ML to Your Testing Practices,” you’ll learn how to: Use AI and ML as the new, necessary approach for testing intelligent applications. Strategically apply AI and ML to your testing practices. Identify the tangible benefits of continuous intelligent testing. Reduce risk while driving test efficiency and improvement. This webinar offers practical steps to applying AI and ML to your app testing. The speaker, Jeff Scheaffer, is senior vice president and general manager of the Continuous Delivery Business Unit at CA Technologies. His specialties include DevOps, Mobility, Software as a Service (SaaS) and Continuous Delivery (CDCI).
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continuous delivery, application delivery, testing, test data management
    
CA Technologies EMEA
Published By: Applause Israel     Published Date: Sep 25, 2018
The goal of usability testing, simply put, is to make sure that a user can complete the tasks they are expected to complete. Usability testing doesn’t test whether or not the functions of the application, website or connected device work correctly, but rather that a user intuitively understands how to perform these tasks — and how easy or difficult it was to do so. With usability testing, “close enough” won’t cut it. A product may have a superior architecture, a great set of features, good performance, scalability and a number of other positive attributes. However, all of this effort is wasted if the user experience is inadequate. An application, website or connected device that is not user-friendly is just as bad as a buggy version and can lead to diminished revenue, product abandonment or a total failure. An application with poor usability can also negatively affect a brand
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Applause Israel
Published By: Applause Israel     Published Date: Sep 25, 2018
Consumers expect a seamless, high-quality experience in today’s mature app economy. They want brands to keep up with new technologies like geo-fencing and personalization, as well as the latest ecosystems like voice assistants and connected cars. With this high bar for quality, QA organizations often struggle to keep up with: 1. Rapid Release Schedules 2. Personalization 3. New Technologies (Voice, AI) 4. Geo-Awareness and Localization 5. Device Fragmentation 6. Unexpected Customer Use Cases The cost of failure is high in QA. Time, money, and customer loyalty are all at risk when digital experiences don’t meet users’ high expectations.
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Applause Israel
Published By: Zebra Technologies     Published Date: Sep 12, 2018
Detecting and preventing errors that threaten patient safety is a closed-loop process that begins at the point of care, extends to independent laboratories, and then back to the caregiver. Sample identification and results reporting errors can lead to misdiagnosis and inappropriate treatment with deadly consequences. A 2006 Wall Street Journal article reported that while malpractice claims for pathology errors are relatively low, they are the second most costly. In addition to creating a serious risk to patient safety, sample misidentification creates significant financial implications. Redraws, retesting and additional treatment that result from sample errors cost the healthcare industry an estimated $200 million to $400 million per year.
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Zebra Technologies
Published By: CA Technologies EMEA     Published Date: Sep 12, 2018
To compete successfully in today’s economy, companies from all industries require the ability to deliver software faster, with higher quality, and reduced risk and costs. This is only possible with a modern software factory that can deliver quality software continuously. Yet for most enterprises, testing has not kept pace with modern development methodologies. A new approach to software testing is required: Continuous Testing. In the first session in a series, join product management leadership to gain in-depth insights on how by shifting testing left, and automating all aspects of test case generation and execution, continuous testing, it enables you to deliver quality software faster than ever. Recorded Feb 5 2018 49 mins Presented by Steve Feloney, VP Product Management CA Technologies
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continuous delivery, application delivery, testing, test data management
    
CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Sep 10, 2018
Companies struggle to find the right test data when testing applications which leads to bottlenecks, defects and constant delays. There is a better way and we want to show you how: Join us for this webcast to learn: - How Test Data Manager finds, builds, protects and delivers test data fast! - How to get your testing teams moving towards self sufficiency with test data Get your questions answered. Come away happy! Recorded Aug 20 2018 60 mins Presented by Prashant Pandey, CA Technologies
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continuous delivery, application delivery, testing, test data management
    
CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Sep 07, 2018
As the application economy drives companies to roll out applications more quickly, companies are seeing testing in a new light. Once considered a speed bump on the DevOps fast track, new tools and testing methodologies are emerging to bring testing up to speed. In this ebook, we’ll explore some of the challenges on the road to continuous testing, along with new approaches that will help you adopt next-gen testing practices that offer the ability to test early, often and automatically.
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continuous delivery, application delivery, testing, test data management
    
CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Sep 07, 2018
Continuous testing is the practice of testing across every activity in the SDLC to uncover and fix unexpected behaviors as soon as they are injected. Continuous testing is the embedding of testing as a fundamental and ongoing aspect of every activity through the application lifecycle, from requirements through production, to ensure the business value is being achieved as expected. As the pace of business continues to quicken, companies are starting to recognize that to stay competitive the process of developing and releasing software needs to change. Release cadence has greatly accelerated. There is no occasion anymore for a six- to 18-month find-and-fix turnaround in which the customer will find the delay acceptable. Things need to move faster, and they need to be ready and perfect faster. Download this whitepaper to find out how CA Technologies can help with your Continuous Testing.
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CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Sep 07, 2018
Business applications have become the battleground for customer loyalty. To compete, IT organizations are under pressure to deliver applications faster and with higher quality. Continuous Delivery (CD) of code offers a solution. CD may be paired with DevOps, Agile and other methodologies. However, QA and testing can be an obstacle to CD’s rapid development and deployment of high quality code. Testers and developers must engage in Continuous Testing, continuously testing software for performance, quality and user experience as it’s being developed. Continuous Testing is not a push button process, though. It requires a comprehensive approach. This paper outlines the common challenges to Continuous Testing and highlights results from real users who have used technology to get to succeed with the Continuous Testing process.
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CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Sep 07, 2018
To compete successfully in today’s economy, companies from all industries require the ability to deliver software faster, with higher quality, and reduced risk and costs. This is only possible with a modern software factory that can deliver quality software continuously. Yet for most enterprises, testing has not kept pace with modern development methodologies. A new approach to software testing is required: Continuous Testing. In the first session in a series, join product management leadership to gain in-depth insights on how by shifting testing left, and automating all aspects of test case generation and execution, continuous testing, it enables you to deliver quality software faster than ever. Recorded Feb 5 2018 49 mins Presented by Steve Feloney, VP Product Management CA Technologies
Tags : 
continuous delivery, application delivery, testing, test data management
    
CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Sep 07, 2018
If you’re relying on manual processes for testing applications, artificial and automated intelligence (AI) and machine learning (ML) can help you build more efficient continuous frameworks for quality delivery. In this on-demand webinar, “Continuous Intelligent Testing: Applying AI and ML to Your Testing Practices,” you’ll learn how to: Use AI and ML as the new, necessary approach for testing intelligent applications. Strategically apply AI and ML to your testing practices. Identify the tangible benefits of continuous intelligent testing. Reduce risk while driving test efficiency and improvement. This webinar offers practical steps to applying AI and ML to your app testing. The speaker, Jeff Scheaffer, is senior vice president and general manager of the Continuous Delivery Business Unit at CA Technologies. His specialties include DevOps, Mobility, Software as a Service (SaaS) and Continuous Delivery (CDCI).
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CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Sep 07, 2018
With the application economy in full swing, more organizations are turning to Continuous Testing and DevOps development practices in order to quickly roll out applications that reflect the ever-changing needs of tech-savvy, experience-driven consumers. Rigorous data they need, in the right formats. This forces teams to postpone their testing until the next sprint. As a result, organizations like yours are increasingly looking for ways to overcome the challenges of poor quality data and slow, manual data provisioning. They are also concerned about compliance and data privacy when using sensitive information for testing. CA Test Data Manager can help you mitigate all these concerns, so you’re positioned to achieve real cost savings.
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continuous delivery, application delivery, testing, test data management
    
CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Sep 07, 2018
Companies struggle to find the right test data when testing applications which leads to bottlenecks, defects and constant delays. There is a better way and we want to show you how: Join us for this webcast to learn: - How Test Data Manager finds, builds, protects and delivers test data fast! - How to get your testing teams moving towards self sufficiency with test data Get your questions answered. Come away happy! Recorded Aug 20 2018 60 mins Presented by Prashant Pandey, CA Technologies
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CA Technologies EMEA
Published By: TIBCO Software     Published Date: Aug 15, 2018
Expanding analytic capabilities are critical to digitizing the business, optimizing costs, accelerating innovation, and surviving digital disruption Historically, manufacturers were almost solely focused on reducing costs by applying automation and analytics to engineering, R&D, manufacturing operations, and quality organizations. Even though the strategies used within these areas are still needed, they are not sufficient to ensure business survival and continuity in the age of Industry 4.0 and the IoT. Today, it is paramount that smart manufacturers broaden their scope because disruptive innovations in data acquisition, storage, and analytics technology have enabled an entirely new degree of automation and virtualization, promising a complete 360-degree high-fidelity virtual data-driven integrated views of all operations—from suppliers and supply chains, through equipment, processes, and manufacturing practices, to final product testing and customer satisfaction. Download this paper
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TIBCO Software
Published By: Akamai Technologies     Published Date: Jul 02, 2018
Gartner named Akamai a Leader in their 2017 Magic Quadrant for Web Application Firewalls. A web application firewall is an essential element in your defense against application-layer attacks, which pose an ever-greater threat to productivity and security. The Akamai approach to WAF combines: An anomaly detection model A repeatable testing framework to measure effectiveness Threat intelligence to identify the latest threats A cloud platform for global scale Managed security services to help organizations better protect their websites and web applications over time
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Akamai Technologies
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