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Empirix Introduces KLERITY 2.1 for 5G Standalone

Empirix, an Infovista company, launched a new version of for 5G Standalone (5G SA).

The platform enables mobile operators deploying 5G SA networks and enterprises deploying IoT and private 5G networks to simplify operations and derive accurate intelligence into Quality of Experience (QoE) when planning, launching, operating, optimizing and monetizing services running on 5G SA networks, whilst also reducing TCO.

5G Standalone enables revenue and agility advantages at lower cost for operators. Deploying this new and complex environment requires innovative cloud-native assurance solutions that optimize customer experiences by providing insight into 5G SA’s new Service-Based Architecture (SBA), technologies, interfaces, protocols and distributed cloud infrastructure.

Empirix KLERITY 2.1 enables mobile operators to maximize the benefits of their 5G Standalone deployments by providing end to end visibility, analytics and troubleshooting across subscribers, devices, applications, services and networks. This includes drill-down to individual call/data sessions and deep packet analysis.

Operators are designing and building cloud-native, service-based architecture of 5G SA networks using a combination of physical and virtual infrastructure, public and private clouds, and a mix of microservices and functions from multiple vendors. The separation of the Control and User Planes (CUPS), with the latter moving to the edge of the network where required to be as near to the service consumer as possible, means it is no longer sufficient to simply capture and monitor traffic: it must all be correlated. Dynamic, fluid service chains, VNFs/CNFs, underlying infrastructure resources and CUPS have resulted in new, dynamic configuration models, and operators can only truly know what has happened on the network or to service through live collection and intelligent correlation of packets to derive actionable insight.

As of March 2021, GSA had identified 68 operators in 38 countries/territories that are investing in 5G SA for public mobile networks. With just seven 5G SA networks currently launched, mobile operators are actively planning and testing 5G standalone networks. The pace of deployment of private 5G networks across a range of vertical markets is also growing rapidly, with GSA identifying 37 countries/territories with private network deployments based on LTE or 5G or LTE or 5G-suitable private network spectrum licenses.

KLERITY 2.1’s cloud-native functions enable a more efficient use of compute, storage and networking resources. Together with powerful, flexible search capabilities, pre-built visualizations, KLERITY delivers a path to closed-loop automation and AI/ML, providing not only a faster time to root cause but ultimately autonomous network and service monitoring and assurance.

Cloud-native by design, KLERITY 2.1 is based on Kubernetes (K8s), a production-grade container orchestration framework for deployment, scaling and management. It integrates with network orchestrators and infrastructure management APIs and leverages best-in-class carrier-grade open-source technologies. KLERITY is infrastructure-agnostic and deployable on bare metal, virtual machines and containers across public and private cloud environments and datacenters, enabling rapid flexible deployments with lower operating costs that can seamlessly change and scale as required.

“5G standalone makes traditional network topologies irrelevant and legacy approaches to network and service assurance outdated,” said Edoardo Rizzi, Chief Product Officer at Empirix. “The future of network-cloud management, service fulfilment and operations is now directly linked to process automation in real-time with zero human intervention. By taking a cloud-native by design approach, the new KLERITY solution framework gives operators the actionable insight and intelligence they need to be able to deliver a multi-cloud, multi-vendor, multi-access network by correlating and contextualizing network and service data.”

KLERITY delivers unified, correlated, end-to-end and highly granular visibility, monitoring, analytics and troubleshooting across subscribers, devices, applications, services and networks – irrespective of the 5G lifecycle stage.

5G SA Assurance: Network and Service Roll-out:

- Technology evaluation & insights into the new SBA with end-to-end call flow visualization

- Network function vendor evaluation with comparison & benchmarking

- Field Trial evaluation & traffic profiling

- End to end vendor interoperability performance & troubleshooting of subscriber and protocol issues at packet/session levels

- Network design validation including user plane and control plane (CUPS) visualization & correlation and bandwidth & latency performance in Edge deployments

5G SA Assurance: Launch, Operations, Optimization & Monetization:

- Proactive & preventative operations with performance & quality degradation alerts

- SLA management of uRLLC, eMBB and mMTC KPIs & KQIs

- Network, service & application performance, and subscriber experience troubleshooting

- End to end network & service performance, quality & experience health dashboards

- Reduced MTTR with Root Cause Analysis of subscribers & protocols

- Visualize and troubleshoot inter-RAT 3G/4G/5G performance degradations

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Empirix Introduces KLERITY 2.1 for 5G Standalone

Empirix, an Infovista company, launched a new version of for 5G Standalone (5G SA).

The platform enables mobile operators deploying 5G SA networks and enterprises deploying IoT and private 5G networks to simplify operations and derive accurate intelligence into Quality of Experience (QoE) when planning, launching, operating, optimizing and monetizing services running on 5G SA networks, whilst also reducing TCO.

5G Standalone enables revenue and agility advantages at lower cost for operators. Deploying this new and complex environment requires innovative cloud-native assurance solutions that optimize customer experiences by providing insight into 5G SA’s new Service-Based Architecture (SBA), technologies, interfaces, protocols and distributed cloud infrastructure.

Empirix KLERITY 2.1 enables mobile operators to maximize the benefits of their 5G Standalone deployments by providing end to end visibility, analytics and troubleshooting across subscribers, devices, applications, services and networks. This includes drill-down to individual call/data sessions and deep packet analysis.

Operators are designing and building cloud-native, service-based architecture of 5G SA networks using a combination of physical and virtual infrastructure, public and private clouds, and a mix of microservices and functions from multiple vendors. The separation of the Control and User Planes (CUPS), with the latter moving to the edge of the network where required to be as near to the service consumer as possible, means it is no longer sufficient to simply capture and monitor traffic: it must all be correlated. Dynamic, fluid service chains, VNFs/CNFs, underlying infrastructure resources and CUPS have resulted in new, dynamic configuration models, and operators can only truly know what has happened on the network or to service through live collection and intelligent correlation of packets to derive actionable insight.

As of March 2021, GSA had identified 68 operators in 38 countries/territories that are investing in 5G SA for public mobile networks. With just seven 5G SA networks currently launched, mobile operators are actively planning and testing 5G standalone networks. The pace of deployment of private 5G networks across a range of vertical markets is also growing rapidly, with GSA identifying 37 countries/territories with private network deployments based on LTE or 5G or LTE or 5G-suitable private network spectrum licenses.

KLERITY 2.1’s cloud-native functions enable a more efficient use of compute, storage and networking resources. Together with powerful, flexible search capabilities, pre-built visualizations, KLERITY delivers a path to closed-loop automation and AI/ML, providing not only a faster time to root cause but ultimately autonomous network and service monitoring and assurance.

Cloud-native by design, KLERITY 2.1 is based on Kubernetes (K8s), a production-grade container orchestration framework for deployment, scaling and management. It integrates with network orchestrators and infrastructure management APIs and leverages best-in-class carrier-grade open-source technologies. KLERITY is infrastructure-agnostic and deployable on bare metal, virtual machines and containers across public and private cloud environments and datacenters, enabling rapid flexible deployments with lower operating costs that can seamlessly change and scale as required.

“5G standalone makes traditional network topologies irrelevant and legacy approaches to network and service assurance outdated,” said Edoardo Rizzi, Chief Product Officer at Empirix. “The future of network-cloud management, service fulfilment and operations is now directly linked to process automation in real-time with zero human intervention. By taking a cloud-native by design approach, the new KLERITY solution framework gives operators the actionable insight and intelligence they need to be able to deliver a multi-cloud, multi-vendor, multi-access network by correlating and contextualizing network and service data.”

KLERITY delivers unified, correlated, end-to-end and highly granular visibility, monitoring, analytics and troubleshooting across subscribers, devices, applications, services and networks – irrespective of the 5G lifecycle stage.

5G SA Assurance: Network and Service Roll-out:

- Technology evaluation & insights into the new SBA with end-to-end call flow visualization

- Network function vendor evaluation with comparison & benchmarking

- Field Trial evaluation & traffic profiling

- End to end vendor interoperability performance & troubleshooting of subscriber and protocol issues at packet/session levels

- Network design validation including user plane and control plane (CUPS) visualization & correlation and bandwidth & latency performance in Edge deployments

5G SA Assurance: Launch, Operations, Optimization & Monetization:

- Proactive & preventative operations with performance & quality degradation alerts

- SLA management of uRLLC, eMBB and mMTC KPIs & KQIs

- Network, service & application performance, and subscriber experience troubleshooting

- End to end network & service performance, quality & experience health dashboards

- Reduced MTTR with Root Cause Analysis of subscribers & protocols

- Visualize and troubleshoot inter-RAT 3G/4G/5G performance degradations

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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 ...