Postman is highly popular in the testing tools space for verifying API requests. While its use for general API testing is widely adopted, conducting load testing with Postman is not as straightforward. In this post, we assume that you have some experience working with Postman and are familiar with the fundamentals of creating and sending requests. If you’re new to Postman, there are numerous resources available in the Postman Learning Center.

In the world of incident management, a SEV1 incident is something of lore: you’ve either heard the tales of the critical outages that result in widespread disruption and chaos, or you’ve lived through one (and lived to tell the tale). SEV1 incidents are a game-changer. When one hits—think major outages or critical failures—it can seriously impact a business, leading to lost revenue, unhappy customers, and a whole lot of chaos.

Many companies that provide IoT or device management solutions need help building an in-house monitoring solution. Managing devices for your clients is challenging enough—building a monitoring system is not everyone's wheelhouse and takes time to set up. In this article, we will review some of the most common use cases for device management companies and discuss how these businesses can use MetricFire to save time and money on their monitoring.

Logging is an essential part of development. While working on React projects, logging provides a way to get feedback and information about what’s happening within the running code. However, once an app or website is deployed into production, the default console provides no way to continue benefiting from logs.

Ever need to visualize the data your working with? storejson() to the rescue! Let’s re-visit our example for sys.os_release from Feature Friday: Special variables: So, we saw the value of a single key, but if we don’t know what keys are available it can be useful to render the JSON representation. The with attribute in combination with storejson() provides a convenient way to visualize the JSON representation of structured data in CFEngine.

Network automation has become a game-changer for businesses that rely on complex networks. By automating repetitive tasks, companies can improve their network efficiency, reduce human errors, and ultimately save time and costs. That's why network automation tools are becoming essential for companies that want to maintain their competitiveness.

Prometheus has become an essential technology in the world of monitoring and observability. I’ve been aware of its importance for some time, but as a performance engineer, my experience with Prometheus had been limited to using it to store some metrics and visualize them in Grafana. Being a Grafanista, I felt I should dig deeper into Prometheus, knowing it had much more to offer than just being a place to throw performance test results.