STAREAST 2018 - Performance Testing & Monitoring
Sunday, April 29
Performance, Load, and Stress Testing (2-Day)
Mobile Application Testing (2-Day)
JMeter Performance Testing Workshop (2-Day)
Monday, April 30
Get Ready for the Big Time: Load and Performance Testing
NewDoes your application have what it takes to handle the number of customers you expect—or hope for? Does it provide a quick, responsive experience for your users all the time? Amber Race explores the performance testing tools and techniques you need to help ensure that your application is ready for the load from real users. If you are just getting started as a performance tester and wondering how to begin, Amber takes you through the basics and reviews the different facets of load and performance testing. Learn how to analyze your application for potential issues, create tests using a...
Tuesday, May 1
Quality and Testing Measures and Metrics
To be most effective, leaders—including development and testing managers, ScrumMasters, product owners, and IT managers—need metrics to help direct their efforts and make informed recommendations about the software’s release readiness and associated risks. Because one important evaluation activity is to “measure” the quality of the software, the progress and results of both development and testing must be measured. Collecting, analyzing, and using metrics are complicated because developers and testers often are concerned that the metrics will be used against them. Join Mike Sowers as he...
Artificial Intelligence and Machine Learning Skills for the Testing World
NewSoftware continues to revolutionize the world—impacting nearly every aspect of our work, family, and personal life. Artificial intelligence (AI) and machine learning (ML) are playing key roles in this revolution through improvements in search results, recommendations, forecasts, and other predictions. AI and ML technologies are being used in platforms for digital assistants, home entertainment and automation, medical diagnosis, customer support, and autonomous vehicles. Testing practitioners are recognizing the potential for advances in AI and ML to be leveraged for automated testing—an...
Data Analytics and Machine Learning
NewDo you have access to lots and lots of test, development, app, and service data—really big data—from client and cloud service log files, test execution results, and more? Then, you have a great opportunity to begin using data analytics and machine learning (ML) to gain new product quality insights. Bring your laptops and your sense of discovery as Ken Johnston and Eun Change introduce analysis techniques and ML tools to help you develop new and potentially groundbreaking insights. First, they present a fast-paced statistics primer for those with no prior data exploration experience and...
How to Break Software: Robustness Edition
Have you ever worked on a project where you felt testing was thorough and complete—all features were covered and all tests passed—yet in the first week in production the software had serious issues and problems? Join Dawn Haynes to learn how to inject robustness testing into your projects to uncover those issues before release. Robustness—an important and often overlooked area of testing—is the degree to which a system operates correctly in the presence of exceptional inputs or stressful environmental conditions. Dawn shows you how—by expanding basic tests and incorporating specific...
Wednesday, May 2
Transformation from QA to Engineering: Testing in the Fast Lane
PreviewAre you being asked to shorten your testing timelines? Do you feel pressured to increase your test automation coverage but don’t have the time, staff, or budget? How do you as a leader upgrade your team’s skills and technical abilities and still meet your daily release deliverables—without bringing in external resources? Join Jennifer Scandariato as she shares her journey in transforming her company’s QA department into a test engineering center of excellence, where manual testers are now automation engineers who apply automation technologies to expedite and streamline the testing...
Continuous Testing vs. Test Automation: Three Key Differences
The past few years have brought a sea change in the way applications are architected, developed, and consumed—increasing both the complexity of testing and the risk of software failures. Given the trends that impact both architectures (cloud, microservices, and APIs) and processes (DevOps, agile, and continuous delivery), how can software testing keep pace with modern application delivery? Enter continuous testing. Wayne Ariola explores the three main differences between continuous testing and test automation. He explores why and where traditional test automation falls short in today’s...
Building a Modern DevOps Enterprise Testing Organization
The DevOps movement is front and center across enterprises. Companies with mature systems are breaking down siloed IT departments and federating them into product development teams and departments. Testing and its practices are at the heart of these changes. Traditionally, development organizations have been filled with mostly manual testers and a limited number of automation and performance engineers. Adam Auerbach says this has to change. To keep pace with development in the new “you build it, you own it” environment, testing teams and individuals must develop new technical skills and...
Machine Learning and Data Science for Quality and Performance Engineering
PreviewManaging the quality and performance of complex systems requires more than simply executing test cases and running load tests. You need to perform careful analysis of test results and production metrics. The sheer amount of data generated in production and testing makes analysis a huge challenge that is often left wanting. With the magic of machine learning (ML) and the application of data science techniques, you have the opportunity to derive valuable and actionable information from big data. Gopal Brugalette shares the basic concepts behind ML, covering clustering, classification...
Thursday, May 3
DevOps Tools for Winning Agility
With a myriad of tools to choose from—open source, free, paid, and enterprise level—teams and organizations have seemingly endless options. Making the right tool decisions can impact the level of quality and success within DevOps projects. Kellyn Pot'Vin-Gorman discusses different tools, what tools work best together, and how—even in teams that are in silos—the right choices can make the difference between success and failure in DevOps implementations. Explore tools—such as Ansible, Jenkins, Maven, Delphix, Github, Liquibase, and Terraform—for automating builds and virtualization. Review...
Embedding Performance Engineering into the CI/CD Pipeline
PreviewA difficult challenge organizations face when adopting continuous integration/continuous delivery (CI/CD) is ensuring that every build has been evaluated for performance. Although most organizations do performance testing, how they do it and when they do it define their readiness for deploying in fast-paced environments. Anjeneya Dubey’s team faced similar challenges and found ways to embed performance engineering as part of their CD pipeline. To achieve this objective, they made changes to processes, technologies, and culture. They added non-functional requirements to “normal”...
Make the Shift to Quality Engineering
In the shift toward “continuous everything” in software development and delivery, we know that testing and testers must foster and support innovation within technology. Many of us just don’t know how to gauge that shift or, more importantly, know what needs to happen within our role to make it happen. Melissa Tondi explores the future of testing, what skills we should have/develop to ensure we are prepared for that future, and the traits of a quality engineer (QE)—where she believes many tester roles are shifting. Melissa walks you through what an innovation-oriented QE organization looks...
Open Source Tools for Performance Testing and Monitoring
Are you finding it hard to make time for performance testing? Does your code end up shipping to production with little or no performance validation due to the lack of tools or expertise? Do you often wonder what system performance looks like in production to end users? Whether you are a test engineer, developer, or seasoned performance tester who has used traditional tools like LoadRunner, there are times when you need to get a quick read on the performance characteristics of your system and determine if there are any regressions. Join Kaushal Dalvi as he shares tips, tricks, and...