Operations | Monitoring | ITSM | DevOps | Cloud

The Microsoft infrastructure makes collecting network traces more complicated. Network traces (tracert) inside and out of the Azure Virtual Desktop virtual machine are valuable when diagnosing support issues or when an end-user calls up complaining of poor Azure Virtual Desktop performance. The following information should help improve the collection of network traces and trace data, which will aid in diagnosing Virtual Desktop Infrastructure connectivity.

If you ask any ServiceNow employee about their role, they'll likely tell you their job and team are the best they’ve ever had. One small but mighty team proclaims this proudly: the red team, a group of professional hackers. As vigilant guardians of the company, the six-person team is tasked with testing the security of our systems and identifying cyber risks, data vulnerabilities, and security threats.

Nagios is an open-source monitoring system that has become indispensable for system administrators and DevOps teams across the world. However, like any other software, you’re bound to come across errors with Nagios. In this article, we’re going to take a look at some common errors and how to solve them, along with the pros and cons of Nagios, and why MetricFire is the perfect alternative for monitoring.

It is now the de facto standard for companies to operate across numerous regions and cloud-accounts. The reasons for this vary, and depending on where you sit in the organization, these reasons may be more or less apparent to you.

We recently had the privilege of presenting our telemetry data pipelining platform at Cloud Field Day. Today, we'd like to share a recap of our demo with you. In this demo, we explore the transformative potential of data profiling, telemetry pipeline optimization, and incident response. Foundationally, we follow an Understand, Optimize, and Respond workflow.

Microsoft Azure offers a choice of relational and non-relational database services to support a wide range of application needs and demands. Built-in intelligence helps automate management tasks like high availability, scaling, and query performance tuning to provide users with services that ensure applications are always available and performant. Many services offer essentially limitless database scale and SLAs (Service Level Agreements) usually range between 99.9-99.999% availability.