Operations | Monitoring | ITSM | DevOps | Cloud

Cost optimization reduces costs while still achieving the same or higher output quality. It involves looking at all business areas, from labor costs to production inputs, to identify areas where costs can be reduced and more efficient.

Today, enterprise IT teams are being asked to manage thousands of devices, hundreds of applications, dozens of networks, multiple clouds, and so much more. It’s critical for IT to have clear visibility over end user digital experience. Questions such as: are my fellow employees actively using the applications they have been provisioned, and if so, are they satisfied with the experience, are vital pieces of information for driving overall business efficiency.

We are very lucky on the Rollbar Customer Engineering Team because we get to work with many many development teams. Each team develops, tests, and deploys their applications in their own way. They have chosen different languages and frameworks to solve their particular problem. We learn from each team that we work with, and share these learnings to our Product Design team.

You can hardly even talk about web development without mentioning JavaScript. Because of its popularity, JavaScript has given birth to several frameworks and libraries that developers can barely keep up with. This post will discuss two popular JavaScript front-end frameworks and libraries: Svelte vs React and their performance. We’ll determine if Svelte is faster than React or whether Svelte is better than React. We’ll also compare the two to determine which is better for performance.

Several tech giants like Amazon and Netflix have jumped from their monolithic applications to microservices. This has allowed them to expand their business interface tremendously and improve their services. Not only them, but most businesses today are dependent on microservices. Twitter currently has about a thousand such services working together, releasing meaningful outputs.

Redis is a widely used in-memory database in the industry. As a consequence of its in-memory database, it can concurrently serve data as a key-value-oriented NoSQL database. Due to the use of in-memory data storage in Redis, you can achieve performance that is challenging with conventional databases. It is crucial to monitor Redis' resource usage since it is an in-memory data store.