Network Performance Monitoring

Vendor independent, passive probe-based, signaling intelligence and operations support platform for fixed and wireless operators. End-to-end correlated, real-time and historical data with trend analysis capabilities. Full visibility across 2G, 3G, 4G, 5G, CS, PS and IMS networks.


Proactive. Preventive. Planned.
Unlock comprehensive network performance management and optimization,
end-to-end across all your networks


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Argela Network Performance Monitoring delivers real-time awareness of network performance, enabling proactive network management and optimized service delivery for subscribers. It is a complete solution for obtaining and presenting rich network analytics and delivers a complete view of service performance across any generation of mobile technology, covering 2G, 3G, 4G, 5G NSA, IMS, and more. It offers rich troubleshooting and diagnostic tools, with detailed xDRs, covering all procedures and operations.


Virtual, Passive Probe Solutions for Access & Core Network


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Argela NPM spans the entire network and efficiently correlates data from each domain

Argela NPM is a complete solution to ensure optimized network capacity usage, business process efficiency and real-time network traffic management. It offers rich troubleshooting and diagnostic tools, with detailed XDR data, covering all procedures and operations. A simple user interface enables advanced filtering and data interrogation, with enhanced drilldown options and ultra-fast presentation of results.

Detailed performance, trend and statistical data is collected, allowing time-based searches, down to the hour, with a real-time display for instant presentation in the NOC. Data can be enriched and exported for external systems.

Alarms via SMS, email and SNMP provide reporting tools for performance deviation, with the ability for users to customize KPIs, ensuring alignment with strategic goals.


Key Benefits

  • Argela NPM provides full visibility across all networks, the insights CSPs need to run their networks efficiently and cost effectively by delivering real-time insights for all services, across all domains.
  • It minimizes the cost of troubleshooting, accelerates problem resolution and delivers insights more efficiently, at scale to meet the demands of network growth.
  • Its’ vendor independent nature eliminates contention among different vendors in multi-vendor environments and provides objective information to ensure the rapid identification of problems and accelerating resolution, effective resource optimization and planning. An end-to-end, cross domain overview provided by Argela NPM allows bottlenecks to be identified and to understand where best to invest for future network growth and optimization.
  • Consistent network performance and service quality is ensured by Argela NPM through historic and real-time performance insights. 


Real-time Metrics & Rules

Argela Network Performance Monitoring collects and processes the KPIs in real-time and allows CSPs to watch the different KPIs at any point in the network, thus ensures the problems are accurately detected and located within seconds rather than in hours or days, the corrective actions are taken in a timely manner and the subscribers get uninterrupted service.

The real time counters, which provides the summary of the network performance in 5-seconds intervals and is used to feed the live charts in NOCs give the CSPs the opportunity of monitoring the status of the network instantly. Numerous types of network resources can be monitored by a wide range of performance indicators. The tools also allow the comparison of observed metrics with “smart long term averages”.

End-to-end Call tracing capability amongst multiple protocols with correlated network message flows allows analyzing the issues easily. 

Rules created using pre-defined KPIs and counters and actions to be taken when a specific rule becomes true, such as alarms and notifications, improves the CSPs awareness of the network issues in real-time. 


Trouble Shooting & Anomaly Detection

In telecom networks, performance metrics (KPIs) usually follow periodic patterns hence KPIs show a trend for each day of the week and each hour of the day.

With Trend Analysis Technique developed by Argela, Network Performance Monitoring follows the KPIs and the trends of the KPIs in the network. It informs the operator when a deviation from the trend is detected. Operator can easily identify the network entities diverting from the trend and take the necessary actions. 

For these purposes, Average Value of KPIs concept is introduced by Argela Network Performance Monitoring. This is a sophisticated method which detects and discards the abnormal fluctuations in order to reach to more meaningful average KPI values. Average values are offered for system wide and for each network element and are suitable to use in rule creation to watch the system. The values that do not fall into the range of the averages or exceed a certain threshold are easily detected and the necessary warning mechanisms are triggered.


5G Monitoring & Analytics

Operators are looking ways to meet high expectations of the subscribers such as high throughput and low latency with lower cost. Additionally, ARPUs are decreasing every year so operators need additional revenue streams on top of mobile subscribers' monthly payments. 

IoT use cases and private networks are some of the new revenue sources for operators. However, with the current 3G/4G technologies operators cannot provide these services at the expected levels and costs. Also, it is not possible to enable IoT services, private/enterprise networks and use cases with the existing 3G/4G networks. To overcome these challenges operators are transforming their radio and core networks to 5G technologies since 5G promises delivering higher multi-Gbps peak data speeds, ultra low latency, more reliability, massive network capacity, increased availability, and a more uniform user experience to more users. 

Network slicing is one of the biggest advancements introduced with 5G. With network slicing it is possible to provide different levels of service quality to different slices that are assigned to locations, enterprises, MVNOs, etc. Monitoring and assuring high level quality of 5G networks and services are crucial to guarantee the provisioning and delivery of 5G services. For example, in network slicing service, each slice has different performance demands. To be able to provide the service at the demanded level, operators need to ensure that assigned slice meets the expected quality of the service. 

Ultra Reliable Low Latency Communication (URLLC) is one of the other key pillars of 5G technology. URLLC enables several use cases such as industry automation, connected cars, healthcare, etc. Time to market of URLLC services is very critical in today’s fierce competition the telco market faces. Service assurance of the URLLC service not only helps shortening time to market of URLLC service, but also enables fast resolution of the service problems and issues.

On the other hand, new 5G architecture comes with new challenges that should be managed wisely. With 5G, radio and core network architecture radically change. All core networks are virtualized and network-based architectures are transformed to service-based architectures. Network elements which runs on dedicated physical servers are transformed to virtual network functions which run on NFV and cloud native platforms. 

In short, 5G promises increased bandwidth, high speed and low latency. However, for obtaining the maximum benefit from the 5G technology, operators need to make proactive maintenance of their networks. 

Argela 5G Monitoring and Analytics solution, which comprises Probes and Analytics software as virtual network functions, allows the operators to monitor 5G network interfaces between network functions. It additionally monitors 5G service functions, such as network slicing, in an end-to-end manner. 

Operators using Argela’s 5G Monitoring and Analytics solution are equipped with tools to track quality metrics of 5G services, problem/event identification and troubleshooting tools to analyze and resolve network issues. It also provides means to track the key performance metrics of URLLC services and troubleshooting tools to identify and resolve URLLC service issues and problems on time.

With predictive analysis capability provided by Argela solution, it is possible to anticipate failures before they occur. AI and ML technologies are leveraged while developing these features.

One of the main architectural features of 5G network is Data control plane and User Plane seperation which is called CUPS. Argela solution is currently CUPS ready and allows monitoring and processing user plane data traffic where the control plane SWG-C, PGW-C and SGW-U, PGW-U are installed in different geographic locations. Therefore, Argela 5G Monitoring and Analytics Solution is ready to monitor 5G user plane traffic where control plane is processed by SMF and user plane is processed by UPF.

Last but not the least, it is important for operators to identify and analyze the customer experience and behavior. In order to provide high quality of experience for each subscriber and identify the next best action to be taken in case of service failure experienced by a subscriber, Argela provides Customer Experience Index and Next Best Action tools utilizing Machine Learning /Deep Learning technologies.

Operators are looking ways to meet high expectations of the subscribers such as high throughput and low latency with lower cost. Additionally, ARPUs are decreasing every year so operators need additional revenue streams on top of mobile subscribers' monthly payments. 

IoT use cases and private networks are some of the new revenue sources for operators. However, with the current 3G/4G technologies operators cannot provide these services at the expected levels and costs. Also, it is not possible to enable IoT services, private/enterprise networks and use cases with the existing 3G/4G networks. To overcome these challenges operators are transforming their radio and core networks to 5G technologies since 5G promises delivering higher multi-Gbps peak data speeds, ultra low latency, more reliability, massive network capacity, increased availability, and a more uniform user experience to more users. 

Network slicing is one of the biggest advancements introduced with 5G. With network slicing it is possible to provide different levels of service quality to different slices that are assigned to locations, enterprises, MVNOs, etc. Monitoring and assuring high level quality of 5G networks and services are crucial to guarantee the provisioning and delivery of 5G services. For example, in network slicing service, each slice has different performance demands. To be able to provide the service at the demanded level, operators need to ensure that assigned slice meets the expected quality of the service. 

Ultra Reliable Low Latency Communication (URLLC) is one of the other key pillars of 5G technology. URLLC enables several use cases such as industry automation, connected cars, healthcare, etc. Time to market of URLLC services is very critical in today’s fierce competition the telco market faces. Service assurance of the URLLC service not only helps shortening time to market of URLLC service, but also enables fast resolution of the service problems and issues.

On the other hand, new 5G architecture comes with new challenges that should be managed wisely. With 5G, radio and core network architecture radically change. All core networks are virtualized and network-based architectures are transformed to service-based architectures. Network elements which runs on dedicated physical servers are transformed to virtual network functions which run on NFV and cloud native platforms. 

In short, 5G promises increased bandwidth, high speed and low latency. However, for obtaining the maximum benefit from the 5G technology, operators need to make proactive maintenance of their networks. 

Argela 5G Monitoring and Analytics solution, which comprises Probes and Analytics software as virtual network functions, allows the operators to monitor 5G network interfaces between network functions. It additionally monitors 5G service functions, such as network slicing, in an end-to-end manner. 

Operators using Argela’s 5G Monitoring and Analytics solution are equipped with tools to track quality metrics of 5G services, problem/event identification and troubleshooting tools to analyze and resolve network issues. It also provides means to track the key performance metrics of URLLC services and troubleshooting tools to identify and resolve URLLC service issues and problems on time.

With predictive analysis capability provided by Argela solution, it is possible to anticipate failures before they occur. AI and ML technologies are leveraged while developing these features.

One of the main architectural features of 5G network is Data control plane and User Plane seperation which is called CUPS. Argela solution is currently CUPS ready and allows monitoring and processing user plane data traffic where the control plane SWG-C, PGW-C and SGW-U, PGW-U are installed in different geographic locations. Therefore, Argela 5G Monitoring and Analytics Solution is ready to monitor 5G user plane traffic where control plane is processed by SMF and user plane is processed by UPF.

Last but not the least, it is important for operators to identify and analyze the customer experience and behavior. In order to provide high quality of experience for each subscriber and identify the next best action to be taken in case of service failure experienced by a subscriber, Argela provides Customer Experience Index and Next Best Action tools utilizing Machine Learning /Deep Learning technologies.


Virtualization and Argela vProbe

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Argela Network Performance Monitoring Features

Argela Network Performance Monitoring provides real-time and historic reporting the CSPs need, allowing the identification of current issues, analysis of past events and prediction of future challenges, needs and opportunities, while meeting regulatory requirements. It is a complete solution to ensure optimized network capacity usage, business process efficiency and real-time network traffic management. Argela NPM’s easy-to-use user interface enables advanced filtering and data searching, with enhanced drilldown options and ultra-fast presentation of results. Detailed performance, trend and statistical data is collected, allowing time-based searches, down to the seconds, with a real-time display option for instant presentation in the Network Operation Center (NOC). Data can be enriched and exported for external systems. Alarms via SMS and email provide alerts for performance deviations, with the ability for users to customize KPIs and to set thresholds, ensuring alignment with strategic goals.


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Argela NPM supports various networks and multiple probes for each protocol. It provides passive monitoring for Access and Core Networks

Performance & Quality Analysis Highlights:

Extensive predefined KPI set for every resource and protocol monitored, hundreds of KPIs per protocol

Live KPIs / counters (5 seconds, 5 minutes and hourly) 

Trend Analysis- Weekly average KPIs for advanced trend analysis

User Defined KPIs (composite and dynamic)


Argela NPM provides means to observe the occurrence of a condition with defined formulas, which are called Rules. Rules include KPIs, mathematical operands and condition checks with constant and relative thresholds. Specific actions are taken based on the rule definition when the conditions occur (e.g. Sending Alarms over SNMP, e-mails, SMSs)

Argela NPM) provides detail xDRs and Correlation capabilities. Detailed xDRs and protocol files for any monitored interface are available with multi-protocol correlation for end-to-end visibility and troubleshooting purposes. High performance, meaning query results in seconds over billions of records, is achieved through distributed architecture and partial response mechanisms. xDRs are easily filtered and analyzed through user-friendly NPM user interface. Collected data - industry standard PCAP formatted - can be analyzed on PDU level by Argela NPM User Interface or any protocol analyzer such as Wireshark. 


Troubleshooting & Diagnostic & Other Enhanced Features

  • Call/Message/Session tracing
  • XDR viewer, protocol decoding
  • Drill down (KPI to XDR, XDR to PCAP)
  • IMSI/IMEI/MSIDN, Location Enrichment
  • Multi-protocol and Run Time correlation (MO/MT Calls and VoLTE Calls) for E2E message trace & first failure reason identification
  • Deciphering of encrypted protocol
  • Customizable home pages with desired widgets, which visualize interested network resources either in graph or table format


Argela Data Probe 

Argela Data probe enables analysis of Internet traffic and used applications by real time non-intrusive passive monitoring of whole user data IP traffic. Data probe provides an accurate application classification and identification as well as performance metrics for the traffic, such as RTT and packet loss, of the monitored IP and Internet traffic to enable internet data and performance analysis. High performant architecture of Argela Data Probe combined with best-of-breed Network Accelerator boards allow real time capturing and analysis of heavy internet traffic of the modern mobile and fix networks without any packet loss. The powerful DPI engine of the data probe receives frequent updates to identify recently introduced internet applications. True heuristics and behavioral analysis of the Internet traffic overcomes false negatives/positives even in the encrypted and obfuscated internet traffic. Thus, thousands of different ever-changing applications with different services can be classified and identified correctly. Thousands of applications, hundreds of protocols and protocol attributes and numerous well defined application attributes are supported.

Argela Data probe enables extensive KPI set (TCP, HTTP, per protocol, per application, per device, etc.) and provides insight into the overall perceived quality of the network. The extracted information from the data network enables valuable information about not only the quality of the network but also the performance of the application provider. Network wide or local problem of the major social media or any other detected internet application can be identified in seconds. The data probe also provides useful information to pinpoint the problem. Run-time correlation of flow XDRs with the associated signaling XDR makes troubleshooting and fault isolation easier (through IMSI, MSIDN, IMEI). Moreover, the extensive integration with the control probes of 2G, 3G and 4G enables CELL level visibility of the network even in the application level. 

Argela Data probes runs on commodity servers and does not require fancy appliances to monitor high internet traffic. 


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Argela NPM Use Cases
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