Each week, our authors cover subjects from scalable architecture to Django monitoring. Check out what our authors are covering this week in the posts below.
Scalable Architecture: A Definition and How-To Guide
Software applications are more global than ever. A massive upswing in traffic is a lucky tweet away. For that reason, teams building platforms have to prepare to ramp up on short notice, and that means building applications with scalable architecture in mind. In this post, I’m talking about scalability in software architectures, what it is, and things to keep in mind, such as statelessness, loose coupling, and asynchronous processing. Learn more from Mario Fernandez on Scalyr’s blog.
Getting Started With Django Monitoring
Django is a web framework used in a wide variety of websites. It just takes a quick web search to discover which large companies use it as a production platform. And the reason for this is simple—it lets developers quickly deploy a website. Some of Django’s features include security and scalability right out of the box so developers can focus on their code. Find out more from Juan Pablo Macias Gonzalez on Solarwinds’ blog.
Application Performance Management 101
To stay alive and growing, tech organizations are always on the hunt for ways to increase the quality and stability of their applications and services. Doing so is essential if they want to prevent their customers from becoming their competitors’ customers, after all. This post is all about a specific process organizations can—and should—use to increase the availability and performance of their offerings and delight their customers: application performance management (APM). Find out more from Carlos Schults on Solarwinds’ blog.
Finally, we added a new post to Panoly’s site about MongoDB. MongoDB’s data flexibility is a breeze for developers but can be a major headache for analysts and data scientists. Here’s how to wrangle your non-relational MongoDB data into a Tableau-friendly shape using JSON exports, the MongoDB Connector for Business Intelligence, and data tools like Panoply. Michelle Hoogenhout can fill you in on Panoply’s blog.