It’s been only a few days since the Bun 1.0 announcement and it’s taken social media by storm! And rightly so. Bun promises better performance, and Node.js compatibility and comes with batteries included. It comes with a transpiler, bundler, package manager and testing library. You no longer have to install 15 packages before writing a single code line. It creates a standardised set of tools and addresses the fractured nature of the Node.js ecosystem.
The rapid software development process that exists today requires an expanding and complex infrastructure and application components, and the job of operations and development teams is ever growing and multifaceted. Observability, which helps manage and analyze telemetry data, is the key to ensuring the performance and reliability of your applications and infrastructure.
Observability dashboards are powerful tools that enable teams to visualize and monitor the performance, health, and behavior of their applications and infrastructure. However, building observability dashboards is not a straightforward task, and many organizations make common mistakes hindering their ability to gain meaningful insights and respond to issues effectively.
Performance testing plays a critical role in application reliability. It enables developers and engineering teams to catch issues before they reach production or impact the end-user experience. Understanding performance test results and acting on them, however, has always been a challenge. This is due to the visibility gap between the black-box data from performance testing and the internal white-box data of the system being tested.
In our latest announcement, we are thrilled to launch our Internet Resilience Program, previously known as Black Friday Assurance. This program provides on-demand access to a team of expert engineers to help ensure the performance and resilience of websites and applications during crucial events. While it’s evident why eCommerce companies find this program indispensable during peak holiday seasons, shopping events are not the only occasion when IT teams are stretched to the limit.
As consumers, we expect the products and software we buy to work 100% of the time. Unfortunately, that’s impossible. Even the most reliable products and services experience some disruption in service. Crashes, bugs, timeouts. There are a ton of contributing factors, so it's impossible to distill disruptions down to a single cause. That said, technology is becoming more and more sophisticated, and so is the infrastructure that supports it.
