This guide explains the key aspects of the OpenTelemetry Collector, including its features, use cases, and practical tips for managing telemetry data effectively.

Log analysis tools are essential for organizations of all sizes. This guide provides an in-depth analysis of the top 10 log analysis tools in 2024. It compares their features, pricing models, and integration capabilities to assist you in making an informed decision based on your specific requirements.

Real user monitoring (RUM) tools are great if you want to give your developers a very high level view of the health of your frontend. But when it comes to actually debugging issues in your web app, you’re often left piecing together outputs from browser devtools, with details (if you’re lucky) from customer support tickets to replicate issues locally in hopes of identifying the source of the issue. Debugging Core Web Vitals (CWVs) to improve your scores can be even worse.

Ensuring your applications are reliable and performant is more critical now than ever. This need has driven the rise of observability practices, where developers and operations teams closely monitor their applications’ health, performance, and behavior. This is where OpenTelemetry (OTel) comes into play.

Amazon Web Services (AWS) is a great platform for DevOps and FinOps teams for several reasons. It provides a wide range of services, supports extensive automation, and includes strong collaboration tools. Despite this, AWS can be a complex ecosystem that makes cloud management challenging. The good news is that AWS also offers a suite of tools to help you apply DevOps best practices and cloud cost optimization.

In the original post in this series, we discussed the benefits of adopting Workspaces within your Cribl Cloud organization to create isolated Cribl instances for your clients. This time around, we’re going to look at how Cribl Edge can smooth the edges of your security operations. Sorry, I had to say it. I’ll see myself out.

With the increased adoption of the Industrial Internet of Things (IIoT), connected devices and sensors generate vast amounts of data, and you’ll need an effective way to capture, store, and visualize all of it. With effective data visualization and analysis, you can transform raw data into actionable insights and make informed decisions. This post will break down tools like Grafana, Node-RED, and time series databases, including their benefits to your IIoT workload.