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3 Serverless Strategies to Look for in 2021 In this article, we examine the three serverless applications deployment and development approaches that are transforming the application development process and acting as a catalyst for fast adoption of the DevOps practice across the board. |
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What Exactly Is Serverless? The word serverless—it’s everywhere. The word has been Googled an average of 100 times daily in 2020. Is serverless just a buzzword? A facade? Or a world where we won’t need servers anymore? |
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Operationalizing Cloud Security with Policy-as-Code Josh Stella explores why PaC is critical to validate that large, complex cloud infrastructure environments adhere to industry compliance standard and internal policies.
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3 Critical Considerations for Technical Due Diligence Technical due diligence is the process of verifying a company’s technical capabilities, quality, and processes. It is typically performed by investors or buyers before a contract. There are many aspects you can investigate, but three are crucial: a code review, security evaluation, and open source components compliance. |
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Breaking Down Apache’s Hadoop Distributed File System Apache Hadoop is a framework for big data. One of its main components is HDFS, Hadoop Distributed File System, which stores that data. You might expect that a storage framework that holds large quantities of data requires state-of-the-art infrastructure for a file system that does not fail, but quite the contrary is true. |
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Lessons the Software Community Must Take from the Pandemic Due to COVID-19, organizations of all types have had to implement continuity plans within an unreasonably short amount of time. These live experiments in agility have shaken up our industry, but it's also taught us a lot of invaluable lessons about digital transformation, cybersecurity, performance engineering, and more. |
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Comparing Apache Hadoop Data Storage Formats Apache Hadoop can store data in several supported file formats. To decide which one you should use, analyze their properties and the type of data you want to store. Let's look at query time, data serialization, whether the file format is splittable, and whether it supports compression, then review some common use cases. |
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5 Pitfalls to Avoid When Developing AI Tools Developing a tool that runs on artificial intelligence is mostly about training a machine with data. But you can’t just feed it information and expect AI to wave a magic wand and produce results. The type of data sets you use and how you use them to train the tool are important. Here are five pitfalls to be wary of. |
