Skip to main content

Viavi Announces Availability of TeraVM O-CU Tester on AWS Outposts

Viavi announced availability of the TeraVM O-CU Tester on AWS Outposts.

As 5G services leverage edge computing, the ability to validate application and infrastructure performance at any point in the network has become essential to ensuring quality of experience.

In order to monetize 5G investments, service providers, device manufacturers, and application developers are striving for new paradigms in user experiences. Real-time, multi-player games, smart cities, autonomous cars, and remote healthcare all require ultra-low latencies, which ultimately can be enabled by 5G Ultra Reliable Low Latency Communication (URLLC) and Multi-access Edge Computing (MEC). In parallel, operators worldwide are adopting open radio access networks to reduce infrastructure costs and lower the barrier to entry for new product innovation.

To address this emerging domain, VIAVI has deployed the TeraVM O-CU Tester on AWS Outposts. Within the architecture of disaggregated networks, the O-CU is a critical resource as the first point in the uplink from end users, where large amounts of traffic converge and need to be handled efficiently in order to meet performance expectations. The O-CU Tester – part of the TeraVM family of fully virtualized and cloud-enabled network and application test solutions – validates that the O-CU works according to 3GPP standards and O-RAN C-plane and U-plane profiles; interoperates with other 5G and O-RAN network functions and components; and performs optimally when fully loaded with complex mobile traffic profiles.

AWS Outposts is a fully managed service that offers the same AWS infrastructure, AWS services, APIs, and tools to virtually any data center, co-location space, or on-premises facility for a truly consistent hybrid experience.

"Our major customers are embracing the power of the cloud and 5G, unleashing rich applications for consumers, businesses and cities," said Ian Langley, VP and GM, Wireless Business Unit, VIAVI.

The Latest

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Viavi Announces Availability of TeraVM O-CU Tester on AWS Outposts

Viavi announced availability of the TeraVM O-CU Tester on AWS Outposts.

As 5G services leverage edge computing, the ability to validate application and infrastructure performance at any point in the network has become essential to ensuring quality of experience.

In order to monetize 5G investments, service providers, device manufacturers, and application developers are striving for new paradigms in user experiences. Real-time, multi-player games, smart cities, autonomous cars, and remote healthcare all require ultra-low latencies, which ultimately can be enabled by 5G Ultra Reliable Low Latency Communication (URLLC) and Multi-access Edge Computing (MEC). In parallel, operators worldwide are adopting open radio access networks to reduce infrastructure costs and lower the barrier to entry for new product innovation.

To address this emerging domain, VIAVI has deployed the TeraVM O-CU Tester on AWS Outposts. Within the architecture of disaggregated networks, the O-CU is a critical resource as the first point in the uplink from end users, where large amounts of traffic converge and need to be handled efficiently in order to meet performance expectations. The O-CU Tester – part of the TeraVM family of fully virtualized and cloud-enabled network and application test solutions – validates that the O-CU works according to 3GPP standards and O-RAN C-plane and U-plane profiles; interoperates with other 5G and O-RAN network functions and components; and performs optimally when fully loaded with complex mobile traffic profiles.

AWS Outposts is a fully managed service that offers the same AWS infrastructure, AWS services, APIs, and tools to virtually any data center, co-location space, or on-premises facility for a truly consistent hybrid experience.

"Our major customers are embracing the power of the cloud and 5G, unleashing rich applications for consumers, businesses and cities," said Ian Langley, VP and GM, Wireless Business Unit, VIAVI.

The Latest

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...