ThousandEyes announced the general availability of Voice Call Tests and Session Initiation Protocol (SIP) Server Tests providing complete network visibility into Voice over Internet Protocol (VoIP) and Unified Communications as a Service (UCaaS) performance.
With ThousandEyes Voice Call Tests and SIP Server Tests, organizations can seamlessly monitor on-premises, hybrid and UCaaS deployment scenarios and anticipate issues before they impact users while ensuring a smoother migration to a cloud service delivery model.
ThousandEyes Voice Call Tests and SIP Server Tests deliver in-depth visibility into all stages of establishing and maintaining a voice call across every network. This is essential as organizations move to a cloud-based delivery model and to enabling a proactive approach to identifying and diagnosing issues impacting end-to-end VoIP service delivery.
"For most enterprises, voice communications is vital and is often the first step to successful UCaaS adoption," said Nick Kephart, Senior Director of Product Management at ThousandEyes. "We built SIP Server and Voice Call Tests to provide a seamless understanding of the end-to-end VoIP session, whether the UC solution is deployed on-premises or in the cloud. We're excited that leading companies at the forefront of driving a superior UCaaS experience, such as Box and Mitel, participated in our beta program, and are using ThousandEyes to gain a complete understanding of service delivery for next generation cloud-based communications."
ThousandEyes Voice Call Tests and SIP Servers Tests are now generally available and automatically included as a part of ThousandEyes VoIP Monitoring to all existing customers and trial users.
The Latest
For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...
FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...
Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...
While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...
A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...
In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability...
While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...
Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...
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 ...