
Empirix introduced a conference bridge monitoring application that ensures top voice performance and bridge reliability by duplicating customers' experiences during conference calls then using them as the key measurement of quality.
The Conference Bridge Monitoring Solution's voice-based conference quality management model is a significant departure from conventional conference bridge monitoring. Where standard tools monitor network data feeds for packet loss, jitter, etc., the Empirix solution approaches monitoring from the user's perspective. It tests exactly what the user is hearing during conference calls by evaluating voice clips as they play through conference bridges.
"Ensuring trouble-free conferences requires a level of visibility that conventional monitoring solutions can't provide," said Empirix CEO John D'Anna. "Do the access numbers work? Are conferences bleeding together? Do callers drop off? Packet flows don't provide that kind of insight, which is why we designed a new monitoring method that uses the customer experience as the baseline. Companies conduct billions of dollars of business over conference bridges. Our Conference Bridge Monitoring Solution provides the quality and reliability assurances they expect for such an important business tool."
The Conference Bridge Monitoring Solution verifies conference server availability, performance, uptime and participants' voice quality. It performs three essential quality and reliability management functions that enable conference bridge service providers to create consistently positive customer experiences. They are:
- Alarming and notification for bridge application and voice quality issues during conference calls;
- Real-time reporting for critical Key Performance Indicators (KPIs) that provide business intelligence; and
- Decreased mean time to recognize problems and ensuring that collaboration tools are performing as expected.
The heart of the Conference Bridge Monitoring Solution's capabilities is its voice-based testing model. The solution automatically sets up conference bridges of up to eight participants, dials into the conference, and plays audio clips. The solution captures the audio on the other side of the bridge and evaluates it for degradation using the industry-standard PESQ (Perceptual Evaluation of Speech Quality) algorithm. Dashboard alarms alert network management staff to irregularities with a KPI that may signal a quality problem.
The Conference Bridge Monitoring Solution provides out-of-the-box functionality for monitoring the most important conference call KPIs with minimal customization. The KPIs include:
- Call pass\fail and length;
- Hung call metrics;
- Time-to-connect to conference;
- Interactive voice response menu and system response times; and
- Participant voice latency and delay.
The solution provides network operations staff with active, real-time performance alerts and passive monitoring of network data. This combination enables staff to respond to performance issues immediately and remediate their root causes. Using data collected through network probes, the Conference Bridge Monitoring Solution provides a logical drill down that helps network operators pinpoint if a specific phone number, carrier, location, or conference bridge server is having a problem.
The Conference Bridge Monitoring Solution can work as a stand-alone solution or integrate with existing network management infrastructures. It is available immediately.
The Latest
As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...
Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...
AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...
Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...
A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...
IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...
A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...
According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...
2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...
Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...