Agile Dev, Better Software & DevOps Conference East 2017
PRESENTATIONS
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Individuals, Interactions, and Improvisation
As agile practitioners, we constantly strive to better ourselves, our team, and our delivery. A great way to achieve this is simply being open to learning new ideas from other disciplines—including improvisation. Jessie Shternshus shares her story of realizing the uncanny similarities... |
Jessie Shternshus |
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Intelligent Software Development, Courtesy of Intelligent Software
The machine learning age is well underway. Today’s software can see novel patterns that humans are unable to see and improve task performance based on experience. Learning algorithms are widely used for varied purposes, including loan approval, intrusion detection, fraud prevention, risk... |
Stephen Frein |
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It's All in Your Head: Use Neuroscience to Improve Performance
We humans process millions of bits of information each day. In order to handle that data load, our brains have developed shortcuts to take advantage of patterns, shared knowledge, and experience. Unfortunately, sometimes those shortcuts lead us astray, causing us to draw inaccurate... |
Faye Thompson |
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Keep Engagement High in Difficult Projects
Aggressive timelines, scope creep, changing requirements, development delays, and the imperative to finish on the imposed timeline … how can you keep your team motivated and engaged when everything seems to go wrong? Larissa Rosochansky describes the major factors of team... |
Larissa Rosochansky |
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Leverage Streaming Data in a Microservices Ecosystem
Imagine a world where operational data is continuously flowing from applications and devices at an extremely high rate. Now imagine services intercepting this data and analyzing it real time. Sounds futuristic? It's not—it's here today. Mark Richards describes what streaming architecture... |
Mark Richards |
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Machine Data Is EVERYWHERE: Use It for Testing
As more applications are hosted on servers, they produce immense quantities of logging data. Quality engineers should verify that apps are producing log data that is existent, correct, consumable, and complete. Otherwise, apps in production are not easily monitored, have issues that are... |
Tom Chavez |
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Measure Anything: The Quality, Productivity, Predictability, and Engagement Model
Measuring software development is difficult. Measuring the return on investment (ROI) of complex initiatives (such as adopting agile) is even more difficult. One department at IBM struggled to reduce a list of 150 metrics down to a top twenty to use in consulting engagements. Through the... |
Anthony Crain |
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Measure DevOps for Objective Continuous Improvement Practices
Logan Daigle says DevOps has brought about unprecedented changes in the way organizations solve problems and break down silos. DevOps is empowering employees to automate expensive processes and leverage the power of cross-functional teams to benefit development and operations... |
Logan Daigle |
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Microservices and Docker at Scale: The PB&J of Modern Systems
After predominantly being used in the build/test stage, Docker has matured and is expanding into production deployment. Similarly, microservices are expanding from greenfield web services to use throughout the enterprise as organizations explore ways to decompose their monolithic systems... |
Anders Wallgren |
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Mobile Testing: What—and What Not—to Automate
Organizations are moving rapidly into mobile technology, which has significantly increased the demand for testing of mobile applications. David Dangs says testers naturally are turning to automation to help ease the workload, increase potential test coverage, and improve testing efficiency. |
David Dang |
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