Operations | Monitoring | ITSM | DevOps | Cloud

I've been in the observability market long before it even had that name. Over the years, observability has undergone a significant transformation. As someone who has witnessed these changes firsthand, I can attest to the dynamic nature of this field. In the early days, it was largely about basic monitoring: tracking system metrics, lots of logs, and simple alerts.

This is a guest blogpost from Dave Kempe from Sol1 At Sol1, we provide services around scaling and automating Icinga rollouts for customers. In large environments, we make heavy use of the excellent distributed monitoring features of Icinga to build redundant clusters across datacenters. Icinga uses the object types of Endpoints and Zones to designate the cluster layout, where a Zone contains Endpoints, and may have a parent Zone. Using this logic, a Zone with no parents is the top level zone.

Want to learn more about the best synthetic monitoring tools in 2024? You’ve come to the right place. Synthetic monitoring refers to the process of using a software to test and evaluate the functionality of an application or a website. By following a script, synthetic monitoring mimics the behavior of a user, navigating through pages or filling out forms.

We recently released two new Raygun API endpoints that expose time series aggregations for particular metrics. They enable you to consolidate your company’s metrics into an external dashboard (such as Grafana, Tableau, or PowerBI), correlate errors and page performance with data points that Raygun cannot see, or even perform advanced data analysis.

NiCE IT Management Solutions is pleased to announce the release of the NiCE MongoDB Management Pack v1.1 for Microsoft System Center Operations Manager (SCOM). This latest version introduces several key enhancements, making it even easier to monitor and manage MongoDB environments.

A few weeks ago we released a feature on IncidentHub which gives you a historical view of your monitored services' availability.

When discussing the technical foundations of observability, several key components, often referred to as the “pillars,” emerge. While there is no universally agreed-upon number of pillars, this post will focus on four fundamental elements: metrics, logs, traces, and profiles. Due to the vast amount of data generated by metrics, logs, and traces, sampling is often employed to reduce data volume while maintaining representative information.

Monitoring and Observability of messaging and middleware has and will continue to be a function of increasing importance and this is especially true for organizations in the Financial Services industry. In the financial services industry, observability refers to the ability to monitor, measure, and analyze the performance, health, and security of financial systems, applications, messaging and middleware which power long running processes in real-time.

There is immense pressure on IT. Now more than ever, IT teams bear the brunt of the seismic shift in how people live and work. Delivering service quality while driving innovation is imperative. Yet, IT teams are continually fighting outage fires, managing day-to-day events, updating legacy systems, and navigating IT complexity – while trying to innovate. AIOps and cloud computing sought to address these challenges.