Related Content
 |
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. |
|
 |
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? |
|
 |
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.
|
|
 |
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. |
|
 |
Schedule Risk Analysis Building schedules for complex projects is challenging. While the results are never perfect, credible schedules are a useful communication and coordination device. Incredible schedules are a dangerous waste of time and energy that damage a project manager’s credibility and cost an enterprise a fortune. |
|
 |
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. |
|
 |
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. |
|
 |
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. |
