Operations | Monitoring | ITSM | DevOps | Cloud

What makes a manufacturing plant efficient? “Generally, it means that there’s no wasted materials, no wasted time, and no wasted energy,” said Grant Pinkos, President of American Metal Processing. “Unplanned downtime is minimal or nonexistent.

What makes JavaScript great is also what makes it frustrating to debug. Its asynchronous nature makes it easy to manipulate the DOM in response to user events, but it also makes it difficult to locate problems. And JavaScript’s ubiquity has resulted in a variety of runtimes (e.g. Chromium’s V8, Safari’s JavaScriptCore, and Firefox’s SpiderMonkey) but having so many platforms can cause dizzying idiosyncracies — all of which need to be supported equally.

In one of the previous blog posts from the load balancing education series, we discussed the Edge Security Pack functionality to provide an additional layer of security in front of an application workload to ensure that only properly authenticated users can interact with the application. In this role, the LoadMaster acts as a gateway for the application and handles user authentication through a third-party identity provider such as Microsoft Active Directory.

When you grow your peak concurrent users by 5x nearly overnight, ensuring that your operations can successfully support that growth can be a make or break for your success. Rocket League is a popular online multiplayer game created by Psyonix described as arcade-style soccer and vehicular mayhem. In the summer of 2020, the game maker decided to switch the business model of the game from an upfront purchase to a free to play model.

Secrets management plays a critical role in keeping your pipelines and applications secure. While secrets management tools help, you need to implement best practices and processes to successfully manage secrets in a DevOps environment. Standardizing, automating and integrating these processes also helps secure secrets by reducing the chance of human error.

It’s a common story: the product team gets early success and grows into a large monolithic code base. While everything is in a single code base, features can be added quickly. This is partly due to the ability to leverage shared code across each feature in the codebase. When your team is adding a new feature, a developer can leverage the existing codebase for needs such as logging or special error handling.