DX Application Performance Monitoring (DX APM) provides powerful capabilities for monitoring the health and performance of your vCenter infrastructure. In addition to capturing and analyzing important monitoring data, the solution will correlate vCenter performance metrics with metrics of other applications monitored by DX APM.

For the fourth consecutive year, Broadcom has been named the highest-scoring leader and outperformer in the 2024 GigaOm Radar Report for Network Observability. In this latest report, GigaOm defines network observability as “a category of solutions that go beyond device-centric network monitoring to provide truly relevant end-to-end visibility and intelligence for all the traffic in your network, whether on-premises, in the cloud, or anywhere else.”

In the dynamic landscape of modern application development, managing telemetry across diverse environments and technologies can be a daunting task. Adding to that challenge is the multiple groups that are involved in the software development life cycle within an organization.

The manufacturing sector is at a crossroads. Industry 4.0 brought with it a wave of innovation, with the industrial internet of things (IIoT), advanced automated, and AI-driven analytics. Now, we’re experiencing the onset of Industry 5.0, where humans work alongside smart machines to create more sustainable products, services, and supply chains.

Facing rising technical complexity and pressure from regulators, these are challenging times for financial services organizations. Given the near- and long-term uncertainties, organizations must focus on what’s coming next. That includes navigating technological disruption and the way it’s shaping experiences and expectations for employees and customers alike. Now, 73% of banking interactions happen over digital channels.

Editor’s Note: This is the second installment of a series of blog posts previewing our State of Observability 2024 survey report. In the first episode of this blog series, we looked at where IT organizations are in their observability journeys and found, rather surprisingly, that most enterprise IT organizations and MSPs were just getting started in observability. Yet 96% of respondents told us their observability solution was delivering the value they expected.

Observability in IT refers to the ability to measure a system's internal functioning by studying its signals from the outside. Modern IT observability is achieved through three kinds of telemetry: metrics, traces, and logs. Metrics aggregate events to gauge a system’s current state. Tracing tracks the progress of each transaction to not only measure performance but also debug the problem. On the other hand, logs record each event, which can help during troubleshooting.

This is the third and final post in a series of blog posts about the disconnect between modern IT and security teams and the vendors they’re forced to work with. If you’re looking for the first and second posts, you can find them here and here.

Observability systems are designed to keep tabs on key metrics, identify unusual patterns, and alert teams when things go awry. Despite best efforts, however, these systems are not infallible, and sometimes they send out alerts for issues that don’t exist. This is what we call a false positive. These false alarms can wreak havoc on team efficiency, lead to alert fatigue, and obscure genuine problems. Let’s delve into what false positives are and why they matter so much.