Accedian announced it is working with VMware to provide Communications Service Providers (CSPs) with near-real-time decisioning and intelligence so they can enable the appropriate quality of experience (QoE) for a variety of applications.
As a VMware Ready for Telco Cloud partner, Accedian’s Skylight performance analytics solution can be used in conjunction with VMware Telco Cloud Platform. This solution will create an opportunity for CSPs to build out a reliable and high-performing RAN and edge infrastructure to support new, high-bandwidth oriented application workloads that require low latency and assured communications.
Richard Piasentin, Chief Strategy and Chief Marketing Officer at Accedian, said, “By using Accedian Skylight with VMware Telco Cloud Platform, CSPs will be able to deploy a cloud-native, software-defined 5G network, accelerating the delivery of services and applications across distributed telco clouds with operational consistency, integrated lifecycle management and multi-layer automation while maintaining the carrier-grade performance, scalability and reliability required.”
CSPs around the world rely on VMware Telco Cloud Platform to deploy and manage virtualized and containerized network functions across their 5G networks. CSP customer can leverage Accedian Skylight to get both continuous and on-demand measurements for the core to RAN, and deliver QoE assurance across all the control plane silos. This is a critical component for data portability and interoperability at hyper scale as it traverses disaggregated RAN infrastructure.
“Virtualizing and disaggregating the RAN is just the first step of a modernization journey. Automation and analytics must be layered on top to improve efficiency, service-level performance with a focus on improving quality of experience as CSPs deliver 5G services,” said Stephen Spellicy, VP of Product Marketing and Solutions, Service Provider and Edge, VMware. “Our continued partnership with Accedian is designed to enhance our Telco Cloud Platform to provide customers with service-level performance visibility, intelligence and assurance capabilities.”
The interoperability of Accedian Skylight and VMware Telco Cloud Platform will enable CSPs to:
- Maximize their RAN investment with faster and easier service deployment
- Have greater confidence to provide QoE assurance to the RAN
- Maximize monetization for the next generation of services that run on modernized disaggregated RAN architecture.
Running on the VMware Telco Cloud Platform, Accedian Skylight component installation is easily orchestrated, tests are easily provisioned, intelligent in-context analysis is easily accomplished, and dashboards are insightful and easily consumed.
The Latest
In APMdigest's 2026 Observability Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 3 covers more predictions about Observability ...
In APMdigest's 2026 Observability Predictions Series, industry experts offer predictions on how Observability and related technologies will evolve and impact business in 2025. Part 2 covers predictions about Observability and AIOps ...
The Holiday Season means it is time for APMdigest's annual list of predictions, covering Observability and other IT performance topics. Industry experts — from analysts and consultants to the top vendors — offer thoughtful, insightful, and often controversial predictions on how Observability, AIOps, APM and related technologies will evolve and impact business in 2026 ...
IT organizations are preparing for 2026 with increased expectations around modernization, cloud maturity, and data readiness. At the same time, many teams continue to operate with limited staffing and are trying to maintain complex environments with small internal groups. These conditions are creating a distinct set of priorities for the year ahead. The DataStrike 2026 Data Infrastructure Survey Report, based on responses from nearly 280 IT leaders across industries, points to five trends that are shaping data infrastructure planning for 2026 ...
Developers building AI applications are not just looking for fault patterns after deployment; they must detect issues quickly during development and have the ability to prevent issues after going live. Unfortunately, traditional observability tools can no longer meet the needs of AI-driven enterprise application development. AI-powered detection and auto-remediation tools designed to keep pace with rapid development are now emerging to proactively manage performance and prevent downtime ...
Every few years, the cybersecurity industry adopts a new buzzword. "Zero Trust" has endured longer than most — and for good reason. Its promise is simple: trust nothing by default, verify everything continuously. Yet many organizations still hesitate to implement Zero Trust Network Access (ZTNA). The problem isn't that ZTNA doesn't work. It's that it's often misunderstood ...
For many retail brands, peak season is the annual stress test of their digital infrastructure. It's also when often technical dashboards glow green, yet customer feedback, digital experience frustration, and conversion trends tell a different story entirely. Over the past several years, we've seen the same pattern across retail, financial services, travel, and media: internal application performance metrics fail to capture the true experience of users connecting over local broadband, mobile carriers, and congested networks using multiple devices across geographies ...
PostgreSQL promises greater flexibility, performance, and cost savings compared to proprietary alternatives. But successfully deploying it isn't always straightforward, and there are some hidden traps along the way that even seasoned IT leaders can stumble into. In this blog, I'll highlight five of the most common pitfalls with PostgreSQL deployment and offer guidance on how to avoid them, along with the best path forward ...
The rise of hybrid cloud environments, the explosion of IoT devices, the proliferation of remote work, and advanced cyber threats have created a monitoring challenge that traditional approaches simply cannot meet. IT teams find themselves drowning in a sea of data, struggling to identify critical threats amidst a deluge of alerts, and often reacting to incidents long after they've begun. This is where AI and ML are leveraged ...
Three practices, chaos testing, incident retrospectives, and AIOps-driven monitoring, are transforming platform teams from reactive responders into proactive builders of resilient, self-healing systems. The evolution is not just technical; it's cultural. The modern platform engineer isn't just maintaining infrastructure. They're product owners designing for reliability, observability, and continuous improvement ...