Operations | Monitoring | ITSM | DevOps | Cloud

Artificial Intelligence for IT Operations (or AIOps for short) continues to be a hot topic among developers, SREs, and DevOps professionals. The case for AIOps is especially crucial given the expansive nature of today’s observability efforts across hybrid and multi-cloud environments. As with most observability platforms, it all starts with your telemetry data: metrics, logs, traces, and events.

In the last half-decade, AIOps and observability have arguably been the hottest two topics in IT operations management. Gartner first mentioned AIOps—Artificial Intelligence for IT Operations—in 2016, defining it as using big data and machine learning to automate IT operations processes, such as event correlation, anomaly detection and causality determination.

Distributed denial-of-service (DDoS) attacks have been a continuous threat since the advent of the commercial internet. The struggle between security experts and DDoS protection is an asymmetrical war where $30 attacks can jeopardize millions of dollars for companies in downtime and breaches of contract. They can also be a smokescreen for something worse, such as the infiltration of malware.

In this post, we’ll look at how to host the OpenTelemetry Collector in Azure Container Apps. There are a few gotchas with how it’s deployed, so hopefully this will stop you from hitting the same issues. If you don’t care about the details and just want to run a script, I’ve created one here.

A goal of open-source observability is unifying several different signals to provide the observability everyone wants. It’s always interesting to speak to people on this journey, and how they try to provide it through open-source projects, and the challenges they can face. I was thrilled to host Pranay Prateek on the most recent episode of the OpenObservability Talks podcast.

Splunk embodies the top 5 principles of unified security and observability, and has been an expert in log management, security, and observability for years.

This series of six blogs outlines the basics of the Observability Maturity Model. Use it to identify where you are on the observability path, understand the road ahead and provide guidance to help you find your way.

Written by Andrew Puch and Brian Langbecker You use NGINX as a proxy for your application, and you want to leverage your favorite features in Honeycomb to help make sense of the traffic data. Have no fear: Honeycomb is more than capable and ready to help! Things you will need: Before you start with the instructions, let’s discuss a lightweight tool called Honeytail. This utility will tail log files, parse the various formats, and send the data to Honeycomb.