Operations | Monitoring | ITSM | DevOps | Cloud

I'm pleased to announce a new feature that we've been building for over a year: Honeybadger Insights. Insights is our take on logging and performance monitoring, helping application developers gain deeper visibility into what's happening with their applications. It goes beyond application monitoring and responding to exceptions and downtime. Insights lets you drill down into the details and step back to see patterns in your data.

Naming things, and specifically consistently naming things, is still one of the most useful pieces of work you can do in telemetry. It’s often overlooked as something that will just happen naturally and won’t cause too much of an issue—but it doesn’t happen naturally, it does cause issues, and you end up having to fix the data in pipelines or your backend tool.

A network key performance indicator (KPI) is a measurement and a benchmark to achieve optimal network performance goals. To support these goals, measuring actual performance against the KPI goals helps the network team make decisions to improve and sustain network performance and service levels and meet the KPI objective.

In Part 1 of this blog, we prepared our demo container environments using Docker for the Node Express and Python Flask applications. Now, we move on to the more complex phase of our exploration, where we will dissect and explain the inner workings of our applications. This sequel is designed for those who want to improve their web development skills, offering a comprehensive guide to debugging and tracing.

Docker is a platform that makes creating, deploying, and running containerized applications easier. Containerization is a lightweight and portable application deployment technique involving packaging an application and its dependencies inside a container. A container is a standalone, executable software package that includes everything needed to run a piece of software, including the code, runtime, system tools, libraries, and settings.

Microsoft Defender offers everyone comprehensive threat prevention, detection, and response capabilities—from individuals looking to protect their families to the world’s largest enterprises. Microsoft Defender allows IT and Security teams to prevent, detect, and respond to attacks across devices, identities, apps, email, data, workloads, and clouds. Have you ever wondered if you can use Cribl Stream to help manage your Microsoft Defender for Endpoint logs? The answer is Yes (plus benefits)!

Offering users proactive and timely updates during downtime events is the key to effective incident management. However, imagine a status page that lacks integration with a monitoring tool. T he challenges become apparent with the need for manual intervention with every update. Without the efficiency and reliability offered by automation, you may struggle to provide users with timely updates, which can increase their frustration.

Out of the gate, NMS collects an impressive array of metrics and telemetry. But there will always be bits that need to be added. This brings me to the topic of today’s blog post: How to configure NMS to collect a custom SNMP metric.