Operations | Monitoring | ITSM | DevOps | Cloud

Indicators can be a powerful tool to measure the success of a business. With the right mix of indicators, you can uncover valuable insights and track progress toward goals. However, knowing which indicators to use and when to use them for the right purpose is crucial to measuring success accurately! In this article we'll explore 12 types of performance indicators, when they should be used and how to use them to measure success. Curious to learn more? I'll share more details below.

So, you think you monitor your infra? As humanity increasingly relies on technology, the need for reliable and efficient infrastructure monitoring solutions has never been greater. However, most businesses don't take this seriously. They make poor choices that soon trap their best talent, the people who should be propelling them ahead of their competition.

As developers we understand the critical role teamwork and collaboration play in solving complex problems. Often, it’s that second set of eyes that uncovers an additional issue or sheds light on the root cause of a stubborn bug. Effective collaboration becomes a critical factor in determining a team’s success or failure, especially when debugging or troubleshooting problematic issues within complex applications.

It’s 5:00 pm on a Friday. You’re wrapping up work, ready to head into the weekend, when one of your high-value customers Slacks you that something’s not right. Requests to their service are randomly timing out and nobody can figure out what’s causing it, so they’re looking to your team for help. You sigh as you know it’s one of those all-hands-on-deck situations, so you dig out your phone and type the "going to miss dinner" text.

A Network Bandwidth Monitoring Tool is a software program designed to monitor and analyze the network traffic data flowing through a network connection. It provides real-time information about the amount of data being transmitted, the speed of the connection, and other relevant metrics. The tool can help network administrators to identify and troubleshoot network issues, optimize network performance, and ensure that the network is being used efficiently.

Effective network troubleshooting requires collecting and correlating thousands of data points across your entire stack. The more data you ingest, however, the more data you have to search through in order to locate important signals. This can make it hard to find the information you need during time-sensitive investigations.

Seems like everyone is building a ChatGPT thing right now, doesn’t it? Well we are too! Inspired by so many others, we decided to see what AI could do with our simplified analytics and observability data. Turns out, it can do quite a lot. I’m thrilled to share that we’ve shipped our first AI insights chatbot, Professor Sloth.