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Making DevOps Evolution Happen It takes effort to evolve an organization’s culture, processes, and technology to optimize performance for a DevOps environment, and it all comes down to the people. Large-scale mobilization requires a focus on people at all levels, empowering them to discover and make the changes that will help them most. Here's how. |
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When to Use Different Types of NoSQL Databases Web-scale data requirements are greater than at a single organization, and data is not always in a structured format. NoSQL databases are a good choice for a larger scale because they're flexible in format, structure, and schema. Let’s explore different kinds of NoSQL databases and when it’s appropriate to use each. |
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5 Steps to Stable Continuous Testing in DevOps Continuous testing minimizes risk and ensures DevOps has the tools to deliver quality, modern code that is ready for the future. To fulfill this, you have to first understand the three types of personas in testing. Then, you'll know how to work with them to progress along the path toward achieving continuous testing. |
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The Importance of Data Encryption in Cybersecurity Encryption protects private data with unique codes that scramble the data and make it impossible for intruders to read. Despite a data breach, encryption ensures that an institution’s private data is safe, even when attackers get past the firewall. Here are four reasons to use data encryption cybersecurity measures. |
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Key Enablers for Continuous Testing Continuous testing means testing before, during, and after each software change is made. Testers have long advocated for this, but DevOps has made it more popular by pushing for rapid feedback and shifting testing left in the lifecycle. Here are three practices your company should embrace to enable continuous testing. |
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Designing Data Models for Self-Documented Tests When testing applications, documenting and interpreting test results can be a challenge. Data models enable us to collect and process test data more dynamically and uniformly. To design effective data models for self-documented tests, there are three important things to consider: what to document, collect, and report. |
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Building Culturally Inclusive AI Models For us to build the most effective technology, we need to learn from our past and build our future with more comprehensive data sets with cultural intelligence. This means AI that recognizes your story, chatbots that speak to you more authentically, and smart assistants that have inclusive data about your ancestry. |
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DevOps Transformations for QA Teams: A Slack Takeover with Stacy Kirk Thought leaders from the software community are taking over the TechWell Hub to answer questions and engage in conversations. QA architect an agile coach Stacy Kirk, founder of QualityWorks Consulting Group LLC and nodeqa.io, hosted this Slack takeover and discussed improving teams by implementing DevOps practices. |