Alternatives to Touchstream VirtualNOC

A comprehensive video quality control solution designed for monitoring UDP, RTP, HTTP, and HLS streams, this software measures both Quality of Service (QoS) and Quality of Experience (QoE) parameters across all areas of distributed networks. With probes that operate continuously around the clock, users gain complete oversight of their network environment. Within just 30 minutes, you can start monitoring your streams, which allows for significant savings on specialized equipment and lower network maintenance costs. The user-friendly data presentation and the benefits of a web-based interface enhance the overall experience. Thanks to ongoing quality assessments and prompt identification of issues, we enjoy a stable customer base. This solution can be deployed as a cloud service or as a standalone application for local networks. Elecard Boro software probes are capable of monitoring packet loss, video interruptions, and SCTE35 labels across various protocols such as UDP, HLS, DASH, RTP, and HTTP. Ultimately, this solution offers rapid and economical monitoring of content delivery networks while effectively pinpointing common issues. Furthermore, it empowers users to ensure the highest standards in video transmission quality.

In an era where Cloud and Internet technologies are vital for business success, reliable internet connectivity is paramount. Bigleaf's network optimization SD-WAN offers an effective and easy-to-use solution that reduces downtime and optimizes cloud and SaaS application performance. Our Cloud Access Network, edge router, and intelligent software all work together to proactively assess your internet traffic, then adjust to fluctuating circuit conditions and traffic demands—preemptively resolving potential disruptions and delivering optimal internet performance. Bigleaf also grants insightful visibility into your circuit and traffic performance in a single-pane of glass, supported by reports, and timely alerts. All together, Bigleaf architecture is built to be more than backup; it's a game-changer. Sign up for a free demo today and see how you can experience a new standard in internet reliability and control with Bigleaf.

The Epitiro remote network monitoring probes will keep you informed about your Ethernet, Wi Fi, and/or LTE service performance, as well as user experience. Install Epitiro hardware probes in key locations to continuously test network performance and bandwidth across multiple broadband networks. Our cloud interface makes it easy to configure test networks and schedules. You can test on demand or according to a schedule. You and your team can set up performance alerts. Assure the operation of your splash page and captive portal. Invite your customers and team members to securely view performance via their mobile app or desktop. Enterprise-class administrative features and scalability. Comprehensive tests of end-to-end performance include Ookla Speedtest and Latency, Jitter and Packet Loss, as well as application performance for Browsing (Dropbox, Youtube), as well as iPerf support. QoS. QoE.

GainSeeker Suite, the enterprise-level SPC software and manufacturing Intelligence platform, compiles disparate manufacturing operations data and turns it into useful, actionable intelligence. Our clients can triage, prioritize, address, and resolve issues faster and more consistently. They can quickly identify the root cause of problems and uncover hidden opportunities to increase revenue, grow margins and improve asset performance with automated drill down analytics. GainSeeker connects data from many systems. It can connect to vision systems, PLC's, and gages. You can also connect to ERP and MES systems to connect all of your manufacturing data.

Vision is easy to implement and use, featuring a streamlined architecture that minimizes expenses while delivering action-oriented, instantaneous root cause analysis. Its software-based probes possess unlimited scalability across the network, presenting broadcasters, network operators, and content distributors with a cost-effective solution for achieving direct analytical insights at the critical last mile. By elevating content distribution reliability, Vision allows for the monitoring of more points than ever before in real-time, ensuring an unparalleled level of fault tolerance and redundancy through hot-swap backups, load balancing, and clustering. Built for continuous operation, Vision facilitates comprehensive root cause analysis, capturing video of each incident 24/7 and maintaining a time-correlated trend history. When implemented across the entire network, Vision reveals an accurate perspective on channel delivery all the way to the last mile, empowering users to make informed decisions and enhance overall performance. This innovative approach not only strengthens operational efficiency but also significantly improves service quality for end-users.

Quickly identify and forecast outages and impairments that impact subscribers, many of which often go undetected. This process unveils the implications, sources, and underlying causes of events, allowing for prioritization and expedited fault resolution while enhancing the user experience proactively. It dynamically forecasts and identifies outages and impairments across both mobile and fixed networks, as well as in physical and virtual environments. Abnormal events that influence network performance and user satisfaction are classified, correlated, and grouped for better assessment. Fault locations are isolated, and root causes are diagnosed to enable effective, coordinated, and prescriptive measures. By consolidating and analyzing data from various source systems, it breaks down silos and provides integrated insights. Additionally, it optimizes latency, network efficiency, and service delivery through comprehensive, multi-layered anomaly detection combined with correlated analytics. The system also identifies and resolves transient degradations and recurring issues that can hinder performance, ultimately delivering a superior user experience. This proactive approach not only improves operational efficiency but also fosters customer satisfaction and loyalty.

CySight’s revolutionary Actionable Intelligence, trusted by Fortune 500 globally, enables organizations with the most cost-effective and secure way to tackle the increasing density, complexity, and expanse of modern physical and cloud networking. Deploying cyber network intelligence, CySight empowers network and security teams to substantially accelerate incident response by eliminating blindspots, analyzing network telemetry to discover anomalies, uncover cyber-threats, and quantifying asset usage and performance. CySight’s Dropless Collection method enables unsurpassed visibility of network Big-Data which is retained in the smallest footprint, accelerating machine learning, artificial intelligence and automation to fully utilize all metadata no matter the amount, size, or type.

Telestream iQ stands as a preeminent force in the realm of video quality monitoring, having emerged from the acquisition of IneoQuest in 2017 and Tektronix Sentry in 2019, both of which held the top two positions in the market. The company aids service providers in managing the intricate process of migrating from SDI to IP, shifting from conventional linear television to OTT streaming, and adopting cloud technologies for diverse video delivery services. With its offerings, Telestream iQ enhances visibility, provides diagnostic and troubleshooting tools, and ensures compliance with service level agreements (SLA), all of which contribute to decreased operational costs, improved efficiency, and increased revenue for video service providers. It features automated surveillance across each phase of the video delivery chain, providing a comprehensive end-to-end overview, alongside in-depth analytics that help pinpoint video quality problems and their underlying causes. This robust suite of tools empowers operators to optimize their workflows and maintain high standards in video delivery.

ORION-OTT delivers a robust and scalable solution for validating ABR videos, focusing on both Quality of Service (QoS) and Quality of Experience (QoE). Additionally, it facilitates passive tracking of the performance of origin servers and end-user devices to pinpoint recurring problems and their underlying causes. The user-friendly interface of ORION-OTT effectively displays monitoring outcomes for various assets. Users have the capability to delve into monitoring sessions to uncover significant issues, their specific locations, and frequency within an asset, while also accessing contextual details for troubleshooting. With its web-based design, ORION-OTT enables users to conduct remote monitoring from any device with a browser, providing a comprehensive suite of monitoring and reporting tools that are readily accessible. This flexibility ensures that users can stay informed and proactive in managing video performance across different platforms.

Luciq is an advanced mobile observability platform powered by AI, tailored for app developers and enterprises, enabling them to effectively monitor, diagnose, and enhance mobile applications with ease. This comprehensive solution integrates bug reporting, crash analytics, session replay, and performance monitoring within a single SDK that accommodates Android, iOS, web, and hybrid applications. Users can collect extensive device logs, network traces, annotated screenshots, videos, and user feedback, while machine learning automatically correlates events and errors to prioritize issues based on their impact. By offering developers insights into user sessions where problems occurred, they can replicate defects through replay and expedite issue resolution via integrations with tools like JIRA, Slack, Zapier, and Zendesk. Luciq's “Agentic Mobile Observability” methodology not only highlights the most pressing issues but also identifies potential root causes and suggests remediation strategies, empowering teams to boost their efficiency, enhance application stability, and improve the overall user experience. Ultimately, this platform transforms the way teams approach mobile app development and maintenance, ensuring they stay ahead of potential challenges.

Spend more time creating great software than fighting it. Raygun, a cloud-based platform, provides error, crash and performance monitoring for web and mobile apps. Raygun's powerful suite allows teams to have complete visibility into issues their users face, and can provide code-level details into the root causes. Raygun's products cover three main areas: APM, Crash Reporting and Real User Monitoring. They are all fully integrated to each other to provide powerful insights unlike anything your team has ever experienced. Raygun allows you to see how your users actually use your software. You can quickly detect, diagnose, and fix performance issues faster.

Minimize false positives and leverage machine learning (ML) to effectively identify anomalies in business performance indicators. Investigate the underlying causes of these anomalies by clustering similar outliers together for analysis. Provide a summary of these root causes and prioritize them based on their impact. Ensure a smooth integration with AWS databases, storage services, and external SaaS platforms for comprehensive metrics monitoring and anomaly detection. Set up automated alerts and responses tailored to the detection of anomalies. Utilize Lookout for Metrics, which employs ML to both discover and analyze anomalies in business and operational datasets. The challenge of recognizing unexpected anomalies is compounded by the limitations of traditional manual methods that are prone to errors. Lookout for Metrics simplifies the detection and diagnosis of data inconsistencies without requiring any expertise in artificial intelligence (AI). Monitor irregular fluctuations in subscriptions, conversion rates, and revenue to remain vigilant about sudden market shifts, ultimately enhancing strategic decision-making capabilities. By adopting these advanced techniques, businesses can improve their overall performance management and response strategies.

appNeura’s offerings deliver real-time actionable insights regarding the quality of service for applications to businesses. This functionality enables Developers, IT/Ops Managers, and Product Owners to swiftly implement corrective measures aimed at enhancing application performance and scalability. In its report on Innovation Insight for Digital Experience Monitoring, Gartner highlighted the importance of investing in ‘DEM’ to avoid becoming obsolete, as IT leaders who neglect this area may find their skills and tools inadequate in the face of increasing operational complexity and the heightened need for proactive, personalized, and adaptive services. Furthermore, gaining improved visibility into both overburdened and underutilized staff promotes greater accountability and transparency among employees, while also allowing for the effective management of remote workers without compromising any private information. As enterprises navigate these challenges, adopting such insights becomes crucial for maintaining a competitive edge.

Amazon DevOps Guru leverages machine learning technology to enhance the operational efficiency and reliability of applications. This service identifies unusual behaviors that stray from standard operational patterns, allowing teams to pinpoint potential operational errors before they impact users. By utilizing machine learning models informed by years of data from Amazon.com and AWS Operational Excellence, DevOps Guru can recognize anomalous behaviors in applications, such as spikes in latency, rising error rates, and resource constraints. Furthermore, it plays a crucial role in spotting significant errors that may lead to service disruptions. Upon detecting a critical issue, DevOps Guru promptly issues an alert and supplies a comprehensive summary of the associated anomalies, potential root causes, and contextual information regarding the timing and location of the problem, thereby facilitating quicker resolution and minimizing downtime. This proactive approach not only helps maintain service quality but also empowers teams to respond effectively to incidents.

There is no installation required whatsoever; simply choose a URL, specify the type of alert you'd like to receive, and you'll begin to get notifications immediately whenever there is a decline in your web or network performance. The user-friendly dashboard offers clear visibility into the status of each monitored website, summarizes all detected events, and enables you to modify your account settings in just a few seconds. You can easily monitor uptime, downtime, and crashes through straightforward real-time graphical reports. By selecting specific time and date parameters, you can effectively identify the underlying causes of any downtime or performance issues. Furthermore, the graphical reports also display the average response time for the selected timeframe, providing insight into your site's overall performance. You can also invite team members or service providers as additional users, ensuring they are notified about any performance dips or connectivity problems, which facilitates a collaborative approach to diagnosing and addressing the root causes swiftly. This comprehensive monitoring solution makes it easy to maintain optimal performance across your network and websites.

The StreamProbe solution offers a comprehensive view of service availability and video quality across all critical stages of media processing and delivery through continuous 24/7 monitoring. It is particularly beneficial for various media entities, including TV service providers, network operators, and platforms handling linear broadcast, IPTV, cable, satellite TV, OTT, VOD, nPVR, and transport contribution and distribution, all of which aim to enhance the end-user experience while minimizing operational expenses. By utilizing 24/7 real-time monitoring and alerting, it enables operators to identify problems before they impact customers, thereby increasing system uptime. Additionally, it supports contribution, encoding, packaging, transport, and linear VOD services, facilitating the rapid training of operational teams. The architecture is versatile, accommodating centralized or distributed setups across bare metal, virtualized environments, or cloud services like AWS. With its high-density and scalable capabilities, hundreds of services can be monitored simultaneously within a single appliance, whether in an all-in-one or distributed configuration, while providing a unified monitoring interface. This comprehensive approach ensures that service providers can maintain optimal performance and reliability in an ever-evolving media landscape.

As cloud-based applications and 5G technology become more prevalent, Communication Service Providers (CSPs) are compelled to prioritize delivering a superior user experience. Business clients and everyday consumers alike are unwilling to tolerate sluggish or malfunctioning applications, nor are they satisfied with poor-quality audio or video during virtual meetings. Achieving high Quality of Service (QoS) and an elevated Quality of Experience (QoE) is essential for demonstrating network excellence. To achieve these goals, CSPs must gain unprecedented insights into their networks. Cirries' Data Analysis in Real Time (DART) enables this level of understanding. DART serves as an all-encompassing network performance monitoring solution that offers comprehensive visibility across a range of environments, including physical, virtual, software-defined, and cloud-based networks. By analyzing all network traffic and application transactions in real-time, DART generates numerous detailed metrics regarding voice, video, and application performance. It is capable of identifying network bottlenecks, performance issues, application delays, and glitches in web applications, ultimately ensuring that users enjoy a seamless experience. This innovative tool empowers CSPs to make informed decisions, further enhancing their service quality.

Skylight offers advanced monitoring solutions for network performance and user experiences across all applications, clouds, and networks. As a virtualized platform focused on performance assurance, Skylight provides comprehensive visibility into the performance of networks, applications, and services, spanning from the user edge to the core network and cloud infrastructure. By actively managing performance metrics, Skylight ensures that both networks and cloud-based applications adhere to stringent performance standards, optimize capacity, and fulfill high customer expectations regarding quality of experience. Utilizing robust performance analytics and machine learning, Skylight effectively identifies, forecasts, and mitigates issues that could negatively affect customers. With Skylight, you can capture detailed and accurate data on networks, applications, and services using its versatile sensors. These sensors are available in different formats, including both software and hardware, enabling users to deploy Skylight's capabilities throughout their network, from remote sites to cloud environments, ensuring comprehensive coverage and insight. This flexibility allows organizations to enhance their operational efficiency and responsiveness to performance challenges.

Ascentac Hawkeye Distributed serves as a sophisticated monitoring system for Quality of Service (QoS), capable of overseeing multiple channels for multimedia video streaming simultaneously. It offers seamless integration with various communication methods such as SMS, email notifications, alarm indicators, or simple network management protocol (SNMP). This advanced system enables users to remotely monitor the status of video services, thereby enhancing management effectiveness. The real-time monitoring interface of Ascentac Hawkeye Distributed is highly customizable, allowing users to rearrange the display based on different criteria such as VLAN ID, MPLS Label, Type of Service (ToS), and IP address. Such features empower users to quickly identify and resolve issues as they arise. Furthermore, the system delivers in-depth real-time analytics, covering aspects like program clock reference (PCR) jitter, packet loss, throughput, and other monitoring variables in accordance with TR 101 290 standards. Additionally, it generates a variety of statistical reports that can be conveniently saved in PDF format, ensuring that users have access to essential data for further analysis. This makes it an invaluable tool for those managing video streaming services.

Organizations need more than error detection—they need complete visibility into their HR data health. PCLnXAI's Unified HR Data Observability Platform delivers true HR data observability and governance across your entire HR ecosystem, with patent-pending Payroll Root Cause Analysis as a core capability. We prevent HR data issues, payroll leakage and ensure compliance—all regardless of which HCM system you use. Platform-Agnostic Integration Works seamlessly with Oracle HCM, Workday, SAP SuccessFactors, ADP, and other HR systems. We interact with your integration layer to provide deep insights while maintaining complete security and data isolation. Proven Impact Our clients prevent $980K+ in payroll errors while cutting resolution time from weeks to days. Comprehensive Capabilities Complete Visibility of HR Data Issues with Root Causes: Uncover discrepancies across payroll, deductions, compliance, and costing—then identify exactly why they occurred with detailed root cause analysis. Advanced Root Cause Analysis: Patent-pending Payroll RCA delivers "why it happened" with risk levels and recommended remediation—eliminating guesswork. HR Data Governance & Compliance: Proactive policy enforcement, continuous union compliance monitoring, and automated, audit-ready documentation. Preventive Monitoring: Pre-run validation catches issues before payroll processing, not after. For HR and Payroll Leaders at mid-market to Fortune 1000 organizations managing complex HR operations and seeking a single source of truth for their HR data. Request demo to see how we deliver complete HR data observability across your entire HR ecosystem.

Capture videos of user sessions to effortlessly replicate JavaScript errors without needing to request information from the end user. Explore a demonstration in our online sandbox. RootCause equips you with an extensive array of tools to effectively monitor and replicate errors in websites and applications. With the integrated recording feature, you’ll have a precise account of user actions. Once an error is recorded, simply navigate to the web-based Replay Studio to replay the session and recreate the error with just one click. This functionality eliminates the need to sift through call stacks or extensive logs to track down bugs. Additionally, by utilizing the Feedback button, you can gather user reports regarding visual, usability, or rendering issues, enhancing your ability to improve the user experience. This comprehensive approach not only streamlines error management but also strengthens communication with users regarding potential issues.

Deductive AI is an innovative platform that transforms the way organizations address intricate system failures. By seamlessly integrating your entire codebase with telemetry data, which includes metrics, events, logs, and traces, it enables teams to identify the root causes of problems with remarkable speed and accuracy. This platform simplifies the debugging process, significantly minimizing downtime and enhancing overall system dependability. With its ability to integrate with your codebase and existing observability tools, Deductive AI constructs a comprehensive knowledge graph that is driven by a code-aware reasoning engine, effectively diagnosing root issues similar to a seasoned engineer. It rapidly generates a knowledge graph containing millions of nodes, revealing intricate connections between the codebase and telemetry data. Furthermore, it orchestrates numerous specialized AI agents to meticulously search for, uncover, and analyze the subtle indicators of root causes dispersed across all linked sources, ensuring a thorough investigative process. This level of automation not only accelerates troubleshooting but also empowers teams to maintain higher system performance and reliability.

Soda helps you manage your data operations by identifying issues and alerting the right people. No data, or people, are ever left behind with automated and self-serve monitoring capabilities. You can quickly get ahead of data issues by providing full observability across all your data workloads. Data teams can discover data issues that automation won't. Self-service capabilities provide the wide coverage data monitoring requires. Alert the right people at just the right time to help business teams diagnose, prioritize, fix, and resolve data problems. Your data will never leave your private cloud with Soda. Soda monitors your data at source and stores only metadata in your cloud.

ZIF transforms IT Operations by shifting the focus from a reactive to a proactive approach, facilitating seamless IT processes. It features a unified command interface that consolidates data from various monitoring tools and devices, supported by over 100 plugins. This setup delivers actionable insights on events, helping to minimize infrastructure noise by correlating events and reducing false alarms. Additionally, it aids in swiftly identifying root causes by utilizing infrastructure and application heat maps for quicker issue detection. With the aid of predictive analytics, potential problems are forecasted before they can cause significant disruptions, employing both supervised and unsupervised machine learning techniques. The system also logs incidents in the IT Service Management (ITSM) tool while ensuring that the appropriate personnel are notified through the Virtual Supervisor. Furthermore, it automates repetitive tasks and complex workflows, enhancing overall efficiency. The benefits include comprehensive visibility across the enterprise, improved operational efficiency through noise reduction, and the ability to proactively identify risks based on patterns without relying on a Configuration Management Database (CMDB). Consequently, organizations can achieve faster Mean-Time-To-Repair (MTTR) and maintain a more resilient IT infrastructure overall.

Aurea Monitor provides essential tools for system monitoring, root-cause analysis, and issue detection that enable you to operate your business in real-time. With the capability to identify and address system problems before they affect your clients, real-time monitoring is crucial. Any delays in recognizing and resolving application issues can significantly impact customer satisfaction, making timely intervention critical. Aurea Monitor enhances your capacity to spot potential weaknesses and inefficiencies in system performance, allowing for quick fixes that elevate the customer experience. It automatically identifies every system within your infrastructure related to a business process, ensuring you maintain complete visibility as modifications or enhancements occur over time. Strive for optimal performance with a goal of achieving 100% uptime. Furthermore, Aurea Monitor continuously oversees all processes, offering proactive identification of issues and alerts, enabling you to tackle and rectify problems with even greater speed. The result is not only improved efficiency but also a more reliable service for your customers.

Incorporate AI-driven monitoring capabilities to proactively manage incidents without needing expertise in machine learning. With Azure AI Metrics Advisor, which leverages AI Anomaly Detector and is part of Azure AI Services, you can oversee the performance of crucial aspects of your organization, such as sales and manufacturing operations. This tool enables rapid identification and resolution of issues through a robust set of features that includes near-real-time monitoring, model adaptation to your specific circumstances, and detailed diagnostics alongside alerting mechanisms. The AI Metrics Advisor interface simplifies end-to-end data monitoring management, seamlessly integrating with popular time-series databases and offering support for stream monitoring. Every dimension combination is thoroughly examined to identify impacted areas for root-cause analysis and alerts are dispatched promptly. Additionally, the platform includes a guided autotuning feature that allows for service customization tailored to your individual requirements, ensuring optimal performance. This comprehensive monitoring solution empowers organizations to enhance their operational efficiencies while minimizing downtime.

AppQoS represents a groundbreaking advancement in Application Performance Management (APM), enabling enterprises, ISPs, MSPs, and Cloud Providers to effectively oversee application performance across local, distributed, and remote networks. This innovative solution operates passively, scrutinizing all traffic within the monitored network segments to offer comprehensive stream reassembly and application-level insights without necessitating host agents or imposing additional burdens on network infrastructure. By providing real-time, passive analysis of network sessions for every transaction, AppQoS yields critical insights into application performance and health across both local and remote networks, distinguishing itself as an exceptional choice for managing distributed network environments. Its unparalleled flexibility in deployment and operations allows enterprises, ISPs, MSPs, and Cloud Providers to uphold application performance SLAs throughout the entire networked infrastructure, ensuring a robust and reliable application experience for users. In an era where application performance is paramount, AppQoS stands out as an essential tool in the arsenal of modern network management.

Identify and resolve performance issues and errors within your microservices architecture. Establish connections between root causes by analyzing traces, logs, and metrics. Reduce your costs associated with OpenTelemetry traces through Aspecto's integrated remote sampling feature. The way OTel data is visualized plays a crucial role in enhancing your troubleshooting efficiency. Transition seamlessly from a broad overview to intricate details using top-tier visualization tools. Link logs directly to their corresponding traces effortlessly, maintaining context to expedite issue resolution. Utilize filters, free-text searches, and grouping options to navigate your trace data swiftly and accurately locate the source of the problem. Optimize expenses by sampling only essential data, allowing for trace sampling based on programming languages, libraries, specific routes, and error occurrences. Implement data privacy measures to obscure sensitive information within traces, specific routes, or other critical areas. Moreover, integrate your everyday tools with your operational workflow, including logs, error monitoring, and external event APIs, to create a cohesive and efficient system for managing and troubleshooting issues. This holistic approach not only improves visibility but also empowers teams to tackle problems proactively.

Secure Traffic Manager is a smart platform designed to oversee network traffic and application performance in real-time, ensuring that service quality remains high. It delivers extensive visibility into network activity, enabling proactive management of customer connections by monitoring their health. With its unique "distress score," you can pinpoint users experiencing subpar service and resolve problems before they worsen. Additionally, it provides valuable insights into bandwidth usage across different applications, helping to identify distressed applications and uncover the causes of their performance issues. STM allows for sophisticated, real-time control over network traffic, targeting various levels such as applications, users, and network segments. By correlating data, you can ascertain whether issues are related to a specific customer, an application, or a network segment, while also accessing both real-time and historical data for each customer to anticipate and mitigate potential challenges effectively. This comprehensive approach not only enhances user experience but also optimizes overall network efficiency.

Gisual offers outage intelligence tailored for telecom companies and service providers, eliminating the need for tedious manual processes in diagnosing and linking commercial power failures with customer complaints or network issues stemming from disrupted circuits. By subscribing to Gisual’s outage intelligence, users can receive timely alerts regarding 3rd party outages that may impact their equipment and clientele, allowing for swift diagnosis and correlation of outages within seconds. This service eradicates the need for extensive searches to determine root causes, enhancing situational awareness almost instantaneously. Users can visualize 3rd party outages on a comprehensive map or seamlessly incorporate our outage data into existing systems. Establish direct connections with the essential partners and Network Operations Centers (NOCs) you depend on. Gain access to up-to-the-minute outage intelligence that features ongoing updates, including estimated restoration times, precise outage locations, underlying causes, affected areas, and the specific customers impacted. Integrating Gisual's data into your organization is straightforward and efficient, with an average setup time of just one hour, ensuring that you can quickly leverage this critical information. With Gisual, you can enhance your operational efficiency and improve customer satisfaction.

Enigma NMS is a market leader in the Enterprise Network Management and Monitoring sectors. It offers a wide range of unique features, industry best practices and enterprise design. It also has extensive scalability, automation, stability, and extensive scalability. Our customers can monitor, report, alert, and monitor everything across their entire enterprise, IoT and OT infrastructures, regardless their complexity or size. Enigma gives network professionals greater visibility and full environmental awareness. This allows them to be more proactive in fault detection, detection, analysis and reporting, and can make better decisions. Enigma features include: All Performance Metrics (60 second polling, for upto 5 years with no averaging), NetFlow and Config Management, QoS. SNMP Traps. Environmental Monitoring – ANY OID, Applications. Routers. Switches. Servers. Firewalls. WAN Optimisers. WLC, UPS. VLANs. SNMPv3. Telco.

VoIP monitoring software that provides deep insight into WAN performance and critical call QoS metrics. SolarWinds®, VoIP & Network Quality Manager can help you monitor VoIP performance by analysing Call Detail Records generated from Cisco CallManager and Avaya Communication Manager. This will enable you to identify and eliminate distortions, latency and noise. VNQM allows you to easily analyze call detail files (CDRs) from Cisco and Avaya Communication Managers, and identify metrics such as latency and network jitter. You can also avoid packet delays in VoIP calls. SolarWinds VNQM offers a variety of powerful capabilities, including monitoring VoIP call quality of services (QoS), packet loss and latency, as well as monitoring site-tosite WAN performance with Cisco IP SLA technology. You can also correlate call issues with WAN performance to assist in troubleshooting.

Utilize AIOps to foresee problems, minimize the impact on users, and streamline resolution processes. Transition from a reactive approach in IT operations to one that leverages insights and automation for better efficiency. Detect unusual patterns and address potential issues proactively through collaborative automation workflows. Enhance digital operations with AIOps by focusing on proactive measures rather than merely responding to incidents. Eliminate the burden of chasing after false positives as you pinpoint anomalies with greater accuracy. Gather and scrutinize telemetry data to achieve improved visibility while minimizing unnecessary distractions. Identify the underlying causes of incidents and provide teams with actionable insights for better collaboration. Take preemptive steps to reduce outages by following guided recommendations, ensuring a more resilient infrastructure. Accelerate recovery efforts by swiftly implementing solutions derived from analytical insights. Streamline repetitive processes using pre-crafted playbooks and resources from your knowledge base. Foster a culture centered on performance across all teams involved. Equip DevOps and Site Reliability Engineers (SREs) with the necessary visibility into microservices to enhance observability and expedite responses to incidents. Expand your focus beyond just IT operations to effectively oversee the entire digital lifecycle and ensure seamless digital experiences. Ultimately, adopting AIOps empowers your organization to stay ahead of challenges and maintain operational excellence.

Shield34 stands out as the sole web automation framework that ensures complete compatibility with Selenium, allowing users to seamlessly continue utilizing their existing Selenium scripts while also enabling the creation of new ones through the Selenium API. It effectively tackles the notorious issue of flaky tests by implementing self-healing technology, intelligent defenses, error recovery protocols, and dynamic element locators. Furthermore, it offers AI-driven anomaly detection and root cause analysis, which facilitates a swift examination of failed tests to identify what changed and triggered the failure. By eliminating flaky tests, which often present significant challenges, Shield34 incorporates sophisticated defense-and-recovery AI algorithms into each Selenium command, including dynamic element locators, thereby reducing false positives and promoting self-healing alongside maintenance-free testing. Additionally, with its real-time root cause analysis capabilities powered by AI, Shield34 can swiftly identify the underlying reasons for test failures, minimizing the burden of debugging and the effort required to replicate issues. Ultimately, users can relish a more intelligent version of Selenium, as it effortlessly integrates with your existing testing framework while enhancing overall efficiency.

Real-time monitoring and notification of exceptions: The Error Reporting tool counts, evaluates, and compiles crashes occurring within your cloud services. It features a centralized interface for error management that allows for sorting and filtering of results. A specialized view provides comprehensive error details, including a timeline chart, frequency of occurrences, number of impacted users, first and last occurrence dates, along with a refined exception stack trace. You can also opt to receive alerts via email and mobile for any new errors that arise. Gain a quick understanding of errors: Instantly view your application's most significant or newly identified errors on an intuitive dashboard. Relying on a log stream to pinpoint critical errors can hinder your troubleshooting efforts. Error Reporting delivers processed information directly to you, facilitating a quicker understanding and resolution of root issues. Additionally, this tool enhances your overall incident response efficiency.

Provide immediate and actionable insights that facilitate comprehensive visibility and analysis of trends, streamline operations, bolster security, and enhance customer experiences throughout payment transactions, applications, and infrastructure. Simplify the intricacies of payments by delivering real-time insights into both transaction flows and system performance. Surpass customer expectations and boost retention rates by maintaining high uptime, executing successful deployments, and enabling seamless integrations. Quickly identify and rectify performance issues before they affect customer satisfaction through rapid troubleshooting, adaptive thresholds, and customizable notifications. Efficiently address performance challenges with proactive monitoring and dynamic alerts that offer immediate visibility and feedback on transactions. Mitigate the root causes of problems prior to affecting customers and delve into queue statuses, transaction volumes, and bottlenecks from a singular perspective. Transform complex data sets into actionable intelligence, revealing exceptional insights that drive better decision-making and strategic improvements. This holistic approach ensures not only smoother operations but also a more satisfying experience for users.

Witbe is a pioneer in the Quality of Experience industry. It offers an award-winning method to monitor the QoE delivered by any interactive service (telephony or video, web), on any device (PC/smartphone, STB), and through any network (fixed-mobile, OTT). Witbe was founded in 2000 and has grown to be a trusted partner for more than 300 clients in over 50 countries. Witbe Robots is trusted by Broadcasters, Operators, and Content Providers. Witbe is a publicly-traded company on Euronext Growth.

RTEAM is an innovative real-time platform that empowers users to effectively set up alerts and manage exceptions. The alerts serve as instant notifications for urgent issues that require prompt action across various sectors like fieldwork, operations, and dispatch. Simultaneously, exceptions are recorded in real time for subsequent review and analysis. The platform includes a structured workflow process that ensures the timely gathering of pertinent information, which significantly boosts the quality and precision of data essential for conducting root cause analyses. Key performance indicators such as response time, turnaround time, chute time, nature of the problems, and instances of transport refusals are crucial for identifying areas where training could be beneficial. Users can seamlessly monitor exceptions as they arise and assign reason codes through a user-friendly workflow. By analyzing the aggregated results, teams can identify underlying causes and devise effective action plans to address them, ultimately improving operational efficiency and service quality. This comprehensive approach facilitates continuous improvement in processes and enhances overall effectiveness.

IBM® Z® Operations Analytics is a powerful tool designed to facilitate the searching, visualization, and analysis of extensive structured and unstructured operational data within IBM Z environments, encompassing log files, event records, service requests, and performance metrics. By utilizing your analytics platform alongside machine learning, you can enhance enterprise visibility, pinpoint workload issues, uncover hidden challenges, and expedite root cause analysis. Machine learning aids in establishing a baseline of typical system behavior, enabling the detection of operational anomalies efficiently. Additionally, you can identify nascent issues across various services, allowing for proactive alerts and cognitive adjustments to evolving conditions. This tool offers expert recommendations for corrective measures, enhancing overall service assurance. Furthermore, it helps in spotting atypical workload patterns and reveals common problems that may be obscured in operational datasets. Ultimately, it significantly diminishes the time needed for root cause analysis, thereby capitalizing on the extensive domain knowledge of IBM Z and applying its insights effectively within your analytics framework. By harnessing these capabilities, organizations can achieve a more resilient and responsive operational environment.

Atla serves as a comprehensive observability and evaluation platform tailored for AI agents, focusing on diagnosing and resolving failures effectively. It enables real-time insights into every decision, tool utilization, and interaction, allowing users to track each agent's execution, comprehend errors at each step, and pinpoint the underlying causes of failures. By intelligently identifying recurring issues across a vast array of traces, Atla eliminates the need for tedious manual log reviews and offers concrete, actionable recommendations for enhancements based on observed error trends. Users can concurrently test different models and prompts to assess their performance, apply suggested improvements, and evaluate the impact of modifications on success rates. Each individual trace is distilled into clear, concise narratives for detailed examination, while aggregated data reveals overarching patterns that highlight systemic challenges rather than mere isolated incidents. Additionally, Atla is designed for seamless integration with existing tools such as OpenAI, LangChain, Autogen AI, Pydantic AI, and several others, ensuring a smooth user experience. This platform not only enhances the efficiency of AI agents but also empowers users with the insights needed to drive continuous improvement and innovation.

You can finally say goodbye to spending your days off trying to identify root causes in your hybrid environment. HPE InfoSight continuously gathers and evaluates data from over 100,000 systems around the globe, transforming that information into smarter, more self-sufficient systems. It is capable of predicting and automatically solving 86% of customer-related issues. To ensure that your applications are always on and performing at top speed, you need enhanced visibility, intelligent performance suggestions, and more predictive autonomous operations from your infrastructure. HPE InfoSight App Insights provides the solution you need. It goes beyond conventional performance monitoring, allowing you to swiftly identify, diagnose, and even anticipate issues across applications and workloads using cutting-edge AI technology. With HPE InfoSight, the dream of fully autonomous infrastructure becomes a tangible reality, paving the way for a more efficient and proactive operational environment. This innovation not only streamlines workflows but also empowers organizations to focus on strategic initiatives rather than troubleshooting.

VQmon is an embedded library for real-time media streams like VoIP, IP Videoconferencing, and Video Streaming. VQmon provides real-time analysis of IP-based media streams, providing detailed analytics and QoE scores. Library APIs and standardized payloads for RFC 635 (SIP PUBLISH), and RFC 3611 are both available to get metrics. VQmon has been integrated into over 500 million IP phones, media gateways and test tools. VQmon is highly efficient, scalable, and uses a fraction of a microprocessor to monitor a single voice stream or video stream. It also processes large volumes of streams in multicore servers at more than 2 million packets per core. VQmon can be used on a variety of operating systems and processor platforms.

Expertune PlantTriage stands out as an award-winning PID tuning software, crafted by a team boasting extensive expertise in controls spanning hundreds of years. This innovative tool continuously observes your plant, swiftly pinpointing issues as they arise. It evaluates and ranks information based on both technical and economic considerations, assisting in uncovering the root causes of problems while offering a comprehensive suite of analytical tools aimed at addressing them effectively. With round-the-clock surveillance, Expertune PlantTriage diligently monitors processes every day of the year, detecting issues in real time. It quickly highlights control loops that significantly influence business profitability, production efficiency, reliability, and overall quality. Leveraging a Big Data methodology, the root cause identification feature expedites the discovery of the underlying reasons for disruptions. Additionally, through Active Model Capture Technology, it enables automatic tuning of control loops for peak performance, achieving optimal settings in mere minutes and simulating the precise response characteristics desired. In summary, Expertune PlantTriage not only enhances operational efficiency but also empowers organizations to maintain high-quality standards.

Opster's AutoOps platform optimizes mapping, stabilizes operations, and improves resource utilization to reduce hardware costs and improve performance. Orchestration, management capabilities, and ticket-based support are not enough. AutoOps provides all the support you need, in real time. AutoOps can diagnose issues in all aspects of Elasticsearch operations. The system provides precise root cause analysis and also helps to resolve the problem. AutoOps can perform advanced optimizations, such as shard rebalancing and blocking heavy searches. It can also optimize templates. These optimizations will ensure your cluster operates at its peak performance and maximum resilience. Opster's AutoOps platform enables customers to dramatically reduce the hardware required for their deployment by optimizing mapping, stabilizing operations, and improving resource utilization.

Komodor simplifies the troubleshooting process for Kubernetes, equipping you with all the essential tools to resolve issues confidently. It oversees your entire Kubernetes ecosystem, detects problems, reveals their underlying causes, and provides the necessary context for effective and independent troubleshooting. The platform automatically identifies anomalies, deployment failures, misconfigurations, bottlenecks, and various health-related issues. It enables you to recognize potential problems before they escalate and impact end-users. By utilizing pre-designed playbooks, you can enhance root cause analysis, avoid disruptive escalations, and conserve valuable developer time. Moreover, it offers clear remediation guidance that empowers every team member to act like a seasoned troubleshooting expert, fostering a more resilient operational environment. This proactive approach not only enhances team efficiency but also significantly improves overall system reliability.