Best Application Performance Monitoring (APM) Software for Microsoft SharePoint

SolarWinds®, Server & Application Monitor, (SAM), is designed to monitor and manage your applications and supporting infrastructure, no matter if they are running on-premises or in the cloud. Slow applications and downtime shouldn't impact your business services and end users. Find the root cause of any application problems across all layers of the IT stack. Automatedly discover the environment of your application and begin monitoring it, usually in less than an hour. No consultation or professional services required.

Monitor and Visualize Microsoft 365 Performance Microsoft 365 deployments can include a variety of complex components such as Teams, SharePoint and Exchange. Although it is unlikely, failure can not be ruled out. It is difficult to keep track of the entire deployment because of the interdependence between M365 elements. Your Microsoft 365 Service Health Dashboard in the Microsoft 365 Admin Center may show no issues, but users send tickets claiming they are having trouble logging into their SharePoint. This is made easier by the NiCE Active 365 Management Pack. It identifies and discloses performance issues that can be traced back to users, groups or mailboxes. Advanced infrastructure and application monitoring are available to provide a better user experience, fast troubleshooting, outage prevention and a better user experience.

Discover the authentic narrative of performance through Pinpoint, which amalgamates information from various software lifecycle systems to provide leaders with a comprehensive perspective on costs, outcomes, efficiency, and overall performance. Imagine harnessing the capabilities of data science to reveal the true dynamics of team operations and identify opportunities for improvement. Pinpoint not only visualizes the progression of software tasks but also assesses key metrics like cycle time, throughput, and quality to measure delivery performance accurately. This process is driven entirely by data science applied to activities within your source systems, eliminating the need for manual data entry or approximations, thus ensuring a reliable analysis of operational effectiveness. As a result, organizations can make informed decisions that enhance their software development processes.