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Choosing the Right Threat Modeling Methodology Threat modeling has transitioned from a theoretical concept into an IT security best practice. Choosing the right methodology is a combination of finding what works for your SDLC maturity and ensuring it results in the desired outputs. Let’s look at four different methodologies and assess their strengths and weaknesses. |
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Comparing Apache Sqoop, Flume, and Kafka Apache Sqoop, Flume, and Kafka are tools used in data science. All three are open source, distributed platforms designed to move data and operate on unstructured data. Each also supports big data in the scale of petabytes and exabytes, and all are written in Java. But there are some differences between these platforms. |
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Fearless Refactoring, Not Reckless Refactoring Fearless refactoring is the agile concept that a developer should be able to incrementally change code without worrying about breaking it. But it's not believing that you don't need a safety net to detect and correct defects quickly when changes are made—that's just reckless. Here's how to avoid reckless refactoring. |
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Comparing XML and JSON: What’s the Difference? XML (Extensible Markup Language) and JSON (JavaScript Object Notation) are the two most common formats for data interchange. Although either can be used to receive data from a web server, there are differences that set them apart. Here are the abilities and support for each option so you can choose what works for you. |
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Shifting Security Left in Your Continuous Testing Pipeline Security is often the black sheep of testing—an afterthought that gets only a scan before release. We have to make security a first-class testing citizen with full-lifecycle support. For the best impact, introduce security testing into the early phases of the continuous testing pipeline. Here are some tools to help. |
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Should You Use XML or Protocol Buffers to Store and Exchange Data? XML is a flexible text format used for a wide variety of applications, including data serialization and exchange of data. More recently, protocol buffers were also introduced for data exchange and data serialization. Even though their purpose is the same, these are very different technologies. Which is better for you? |
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Strategically Using Slack Time after a Release When you've worked for months on a big software release, afterward you may want to jump into the next project. But building in some slack time between sprints is a good idea. After a big release, there will probably be more work as new users discover bugs in your software. Plan for some more testing and development. |
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Choosing a Cloud Storage Service When choosing storage through a managed cloud service, you should consider several factors: What type of storage is needed? What is the type of application or service? What is the scale of data? What kind of accessibility, availability, and durability do you require? All these aspects should influence your decision. |
