InfoQ Homepage Agile Techniques Content on InfoQ
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How Teams Can Overcome the Security Challenges of Agile Web App Development
Is the rapid pace of continuous rollouts making it too easy for your organization to cut corners when it comes to ensuring product source code is secure? You may need to reorient your team culture to adopt agile-friendly security processes. True collaboration between security and dev teams is the key to avoiding product vulnerabilities without compromising on your sprint cadence.
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InfoQ 2020 Recap, Editor Recommendations, and Best Content of the Year
As 2020 is coming to an end, we created this article listing some of the best posts published this year. This collection was hand-picked by nine InfoQ Editors recommending the greatest posts in their domain. It's a great piece to make sure you don't miss out on some of the InfoQ's best content.
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Changes in the 2020 Scrum Guide: Q&A with Ken Schwaber and Jeff Sutherland
The Scrum Guide has been updated to make it less prescriptive, using simpler language to address a wider audience. These changes have been done to make Scrum a “lightweight framework that helps people, teams and organizations generate value through adaptive solutions for complex problems”. An interview with Ken Schwaber and Jeff Sutherland about the changes to the guide.
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Instrumenting the Network for Successful AIOps
AIOps platforms empower IT teams to quickly find the root issues that originate in the network and disrupt running applications. AI/ML algorithms need access to high quality network data to determine what went wrong and where. Network visibility starts from TAPs around network equipment, and teams can add application instrumentation and logs as data sources for complete insights.
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Cheesemake: a Declarative Build Tool for C Programs
This article will describe how I came to spend some of the last few months writing a build tool for C programs. Along the way, I'll also try and say something about getting a software project off the ground, how to tackle technical problems that arise, and some of the steps on the path to working software.
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Working Together in the Same Direction with Obeya
Obeya1 is a proven approach that facilitates teamwork and the alignment of activities around seven panels to deliver IT or manufacturing products. It accelerates the regular resolution of good problems by breaking down barriers between teams and it also benefits from the support of the management. The purpose of this article describes the first Obeya panel: vision
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2020 State of Testing Report
The 2020 State of Testing report provides insights into the adoption of test techniques, practices, and test automation, and the challenges that testers are facing. It shares results from the 2020 testing survey organized by Joel Montvelisky from PractiTest, and Lalit Bhamare from Tea-Time with Testers.
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Article Series: Data-Driven Decision Making
The Data-Driven Decision Making Series provides an overview of how the three main activities in the software delivery - Product Management, Development and Operations - can be supported by data-driven decision making.
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Q&A on the Book Compass for Agility
The book Compass for Agility by Leila Rao describes an approach to create change in complex organizations and realize business agility. The compass consists of five phases: Ideation, identification, intake, in action, and introspection. Iterating with this five-step approach can develop internal capability for adaptability and reinvention.
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Data-Driven Decision Making – Product Development with Continuous Delivery Indicators
The Data-Driven Decision Making Series provides an overview of how the three main activities in the software delivery - Product Management, Development and Operations - can be supported by data-driven decision making. In Development, Continuous Delivery Indicators can be used to steer the efficiency of the development process.
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Q&A on the Book Agile Machine Learning
The book Agile Machine Learning by Eric Carter and Matthew Hurst describes how the guiding principles of the Agile Manifesto have been used by machine learning teams in data projects. It explores how to apply agile practices for dealing with the unknowns of data and inferencing systems, using metrics as the customer.
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Three Key Success Factors for Improving Test Automation Outcomes
Test automation is crucial in the DevOps world and vitally important even if not taking a DevOps approach, and good test automation requires careful thought and design from the architecture onward. Tests need to be fully automated, and that automation needs to be stable; no test cases should fail for reasons other than issues in the system(s) under test.