Zenoss announced the launch of a free trial for monitoring Microsoft Teams.
This real-time monitoring of Microsoft Teams streaming data is part of a broader set of initiatives focused on business communications platforms and is now available for a free trial.
Unified communications as a service (UCaaS) tools have become pervasive business-critical applications as remote workforces have become the norm. At the same time, organizations that have become dependent on UCaaS have struggled to gain visibility and ensure quality of service using traditional monitoring tools. Existing monitoring tools (including those provided by UCaaS vendors) have proven inadequate and have left IT organizations seeking alternative solutions. Microsoft Teams has seen the most rapid growth in the UCaaS space, quickly acquiring 35% market share versus competitors like Zoom and Cisco Webex. Zenoss has added UCaaS monitoring to its Zenoss Cloud platform, which monitors everything in modern IT infrastructures.
The Zenoss market-leading monitoring capabilities for Microsoft Teams enable customers to:
- Monitor Microsoft Teams in the same pane of glass as the broader infrastructure.
- Leverage cloud-based monitoring with zero install.
- Get real-time Teams call quality performance monitoring on jitter, packet loss and more.
- View real-time Teams data in flexible, intelligent dashboards.
- Begin monitoring immediately with no training required for operations personnel.
- Anonymize personally identifiable information for full privacy protection.
"As companies digitize their businesses and become more reliant on their IT monitoring capabilities, we continue to remove barriers and help them get real value immediately," said Trent Fitz, chief product officer at Zenoss. "We've seen a huge increase in the need for these capabilities, and we're responding by making it available at no cost for a trial period."
Zenoss Cloud monitoring for Microsoft Teams is generally available now, with no download required.
Zenoss Cloud is an AI-driven full-stack monitoring platform that collects all machine data, enabling the emergence of context for preventing service disruptions in complex, modern IT environments. Zenoss Cloud leverages machine learning and real-time analytics of streaming data to deliver AIOps, giving companies the ability to scale and adapt to the changing needs of their businesses.
The Latest
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
