Operations | Monitoring | ITSM | DevOps | Cloud

Another release of the Netdata Monitoring solution is here!

Over the past several years, one topic that has become of increasing importance for DevOps and site reliability engineering (SRE) teams is AIOps. Artificial intelligence for IT Operations (AIOps) is the application of artificial intelligence (AI), machine learning (ML), and analytics to improve the day-to-day operational work for IT operations teams.

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.

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.

Managing an IT team is a tough job. While demands on services are increasing, both internally and externally, the need to be aware of and in control of application and server performance is a constant pressure. Right now, there are four key areas that are of particular concern for those responsible for IT departments and teams.

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.

In our article on managing static credentials, we discussed the necessity of secrets — the passwords, tokens, and API keys that connect digital services together — and the importance of keeping them secure so that your infrastructure and data are kept safe from intrusion and misuse. For organizations delivering software at scale, managing credentials across multiple teams and projects can quickly become tedious and error-prone, creating bottlenecks and unnecessary risk.

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.

Generative artificial intelligence (AI) is defining 2023. Numerous tech companies, including OpenAI and Google, have put out large language models (LLM) that can be used by consumers directly, or integrated into other products via an application programming interface (API). Many companies are rushing to include generative AI into new or existing products. Some are even doing so in customer touchpoints, such as digital kiosks.