Today’s end users have little to no patience for performance issues. Jitters, slow load times, and full-blown outages can quickly lead to brand damage, lost customers, and diminished revenue. That’s why it’s essential for DevOps and engineers to be able to quickly identify and resolve issues before users ever notice them. Doing this requires collecting and analyzing massive amounts of telemetry data – metrics, traces, and logs.

Complete guide to monitor Cloudflare workers using Prometheus Exporter.

Although FireHydrant has spent five years focused on what happens after your team (erg, I mean service 🙄) gets paged, the topic of alerting often comes up in discussions with our community. People are tired of paying big bucks for software that’s expensive, bloated, and hasn’t seen much innovation. Clearly, there’s a problem here – and we’re tackling it head on.

With the increasing complexity of technology stacks and monitoring tools, managing incidents can become overwhelming, leading to alert noise, alert fatigue, and delayed responses. This is where Key-Based Deduplication comes to the rescue, streamlining incident handling and enhancing the effectiveness of your Incident Management platform.

To recap from our first blog post, JFrog Workers is a service in the JFrog Platform that provides a serverless execution environment, similar to AWS Lambda services. The Workers Service is similar to the user plugins available in JFrog self-hosted, and can be used to perform tasks that extend the capabilities of the JFrog Platform according to your requirements.

What is a Time Series Data Warehouse? How does it help in your monitoring journey? How does it differ from a Time Series Database? That and more.

Computers understand numbers. So, how do large language models (LLMs) mimic human speech? Do LLMs like ChatGPT actually understand words? The short answer is no. LLMs process and represent words using numerical embeddings. These numerical representations enable the model to perform computations, make predictions and generate text. However, it's essential to clarify that the model doesn't possess a true understanding of words in the way humans do. Here's a breakdown of the process.