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Agile+DevOps Culture in a Virtual World Transforming and maintaining culture is hard enough when team members are somewhat co-located and in physical spaces—even harder when the majority are working from home. |
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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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A Physical Metaphor for Quick Fixes and Root Cause Analysis If you deal with legacy code you’ve likely found yourself struggling to debug and fix a mysterious, intermittent problem. Along the way you may have discovered some code that didn’t quite make sense. |
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Evaluating Team Health in Agile and DevOps The importance of the human element in delivering great software is sometimes overlooked, as is the relationship between team health and team performance. Just like physical health checks, team checkups are important. Let's look at some factors that can affect team health and how you can evaluate the important metrics. |
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Making the Most of Your DevOps: A Slack Takeover with Gene Gotimer Thought leaders from the software community are taking over the TechWell Hub to answer questions and engage in conversations. Gene Gotimer, a senior architect at Coveros, hosted this Slack takeover and discussed all things DevOps, including whether you can have DevOps without agile and how you can reap all its benefits. |
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Choosing a Linux Distribution for Docker Containers In the Linux operating system, each Docker container does not use a complete operating system kernel; multiple Docker containers can share the same one. Which Linux distribution should you use as the host? Let’s look at the factors that govern the choice of a host OS, as well as the Linux to run within a Docker container. |
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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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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. |