Alternatives to Nova SensAI

Video quality control tool. Software solution for UDP stream quality control and measurement of QoS in all segments of distributed networks. Probes available 24/7. You have complete control over your network. It takes less than 30 minutes to start monitoring your streams. You can save on equipment and network maintenance costs. Web interface offers all the benefits of web interface, including a user-friendly data layout. Continual quality control and rapid correction of violations ensure a stable customer base. It is available as a cloud-based service or as a standalone solution for local networks. Elecard Boro software probes monitor packet loss, video freeze, SCTE35 labels for UDP/HLS/DASH/RTP/HTTP. This solution allows for fast and economical monitoring of content delivery networks, and localization of most common violations.

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.

Obkio is a simple Network Monitoring and Troubleshooting SaaS solution that allows users to continuously monitor the health of their network and core business applications to improve the end-user experience. Obkio identifies the cause of intermittent network problems, VoIP, video, and applications slowdown in seconds so you can troubleshoot before they affect your end-users. Deploy network monitoring Agents at strategic locations in a company's offices or network destinations such as data sites, remote sites, external client sites, or public or private clouds to continuously monitor performance using synthetic traffic exchanged every 500ms. Obkio continuously tests and measures network metrics, such as latency, jitter, packet loss, quality of service and customer experience via QoE (Quality of Experience). The app alerts you as soon as a problem occurs or even if there are signs that a failure is about to happen. Not only does it alert you and pinpoint the source of the issue, but it also allows you to go back in time to complete a diagnosis.

Infovista Ativa™, a suite of cloud-native apps for automated assurance of advanced and cloudified networks. Ativa's applications can be deployed separately or together to provide end-to-end automated assurance from a single pane. Automated Ops by Ativa™, reduces time and effort in network and service operations by unlocking automation use cases such as 5G slicing assurance, automated anomaly detection and troubleshooting, enhancing data experience, assuring seamless VoNR services, API-based data monetization, IoT networks assurance, and more . It automates workflows and analytics and uses advanced AI and ML algorithms in combination with network configuration tools and open APIs to provide accurate analytics and predictions, avoiding the need for configuration and active validation.

All data sources, including topology, monitoring, change, and observation tools, are aggregated. BigPanda's Open Box Machine Learning will combine the data into a limited number of actionable insights. This allows incidents to be detected as they occur, before they become outages. Automatically identifying the root cause of problems can speed up incident and outage resolution. BigPanda identifies both root cause changes and infrastructure-related root causes. Rapidly resolve outages and incidents. BigPanda automates the incident response process, including ticketing, notification, tickets, incident triage, and war room creation. Integrating BigPanda and enterprise runbook automation tools will accelerate remediation. Every company's lifeblood is its applications and cloud services. Everyone is affected when there is an outage. BigPanda consolidates AIOps market leadership with $190M in funding and a $1.2B valuation

OTT Operations hub to monitor performance at scale and improve QoS. The unique CDN data-sharing relationships between Touchstream and CDN allow for the quick identification of root causes. VirtualNOC, an end-to-end monitoring system, collects data from all video delivery chains and monitors them 24/7. This allows operators to see issues clearly and take immediate action before they impact viewers. Direct data sharing with CDNs in real-time eliminates disagreements with technology providers. Keep everyone focused on the problem and work together to solve it as quickly and efficiently as possible. VirtualNOC, a cloud-based service that allows you to work from anywhere via an internet connection, is available for all users. Your operations team will have the visibility they need to manage complex workflows, no matter where they may be. To improve long-term QoS, you can replay errors from the past and identify root causes. Your operators will have full visibility into their workflow, reducing error margins.

Vision's lightweight architecture is easy to use and deploy. It also provides real-time root cause analysis that is action-based and real-time. The software-driven probes offer broadcasters, network operators, and content distributors a cost-effective way to gain direct analysis at the last mile. Vision increases reliability in content distribution by monitoring more points than ever before, all-in-one, and providing unprecedented fault tolerance and redundancy, hot-swap backups, load balancing, clustering, and load balancing. Vision is designed to work continuously and allows for detailed root cause analysis. Vision includes 24/7 video capture of each issue as well as time-correlated trend history. Vision provides a complete picture of channel delivery down to the last mile by deploying it across the network.

Networks are constantly changing. Networks are constantly in flux as organizations add new business services to them. In addition, network equipment is continually updated and upgraded. It is often difficult to determine if existing network devices can support a new service. Organizations must assess the performance of the network and predict the quality-of-experience (QoE), of newly deployed services to avoid making mistakes. It is crucial for IT teams and quality assurance engineers to have efficient and fast ways to quantify and verify performance before shipping products and rolling out services. IxChariot instantly evaluates and troubleshoots network and application problems before and after deployment. This powerful assessment tool uses Performance Endpoints software agents to simulate application traffic and provide key performance metrics to a central console that allows for easy management.

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.

Ascentac Hawkeye Distributed, a QoS monitoring system, can monitor multiple channels simultaneously for streaming multimedia video. It can be integrated into short message service (SMS), emails, alarm indicators, and simple network management protocol. Users can remotely monitor the status of video services to improve management efficiency. Ascentac Hawkeye Distributed's real-time display screen can be permuted according to different parameters such as VLAN IDs, MPLS labels, ToS and IP addresses. This function allows users quickly to pinpoint and resolve the fault. This system provides detailed real-time information, including jitter in the program clock reference (PCR), packet loss, throughput and related monitoring parameters, based on TR101 290. It can also generate a variety statistical reports that can be saved as PFD files.

Skylight provides high-performance network monitoring and user experience monitoring for any application, cloud, or network. Skylight is a virtualized performance platform that provides end-to-end visibility into network, application and service performance, from the user edge to core network and cloud. Skylight helps to ensure that networks and cloud applications meet increasing performance requirements, optimize network capacities, and meet customer expectations regarding quality of experience. Skylight uses its high-quality performance data and machine learning to predict, predict, and prevent customer-impacting problems. Skylight sensors allow you to collect precise network, service, and application data. Skylight sensors are available in both software and hardware. This allows you to place Skylight sensors capabilities anywhere in your network, from remote locations to cloud-based locations and everywhere in between.

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, a market leader for video quality monitoring, was created by the acquisitions of IneoQuest and Tektronix Sentry in 2017. These companies were the market leaders in this area. Telestream iQ assists service operators in navigating the complex SDI to IP migration, transitioning from traditional linear TV to OTT stream distribution, and migration into cloud technologies for all types of video delivery services. Telestream iQ offers increased visibility, diagnostics, troubleshooting tools and compliance enforcement. This ultimately lowers costs and maximizes revenue for video service providers. Automated surveillance of every step in the video delivery chain, with a summary view. Deep dive analytics data to identify and root cause of video quality issues.

CSPs must now strive for high-quality user experiences, especially with cloud-based applications and 5G. Customers and consumers are not willing to waste their time with slow applications or video calls with poor sound or pictures. Network excellence is marked by high QoS and high users QoE. CSPs need to get to know their networks better than ever before in order achieve it. Cirries' Data Analysis In Real Time (DART), makes this possible. DART is a network performance monitoring software that provides a holistic view of your network. DART gives complete visibility across all network types, including cloud, virtual, software-defined and cloud. DART monitors all network traffic and all transactions in real time. It provides hundreds of detailed metrics on voice and video performance, as well as application performance. DART detects network bottlenecks, other performance issues, latency and web application problems.

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.

A comprehensive suite of solutions for network testing, from VoIP and Bandwidth Quality Testing to worldwide edge-toedge deployments. VoIP & Video quality testing is crucial to maintain the user experience for VoIP applications such as voice calls or video conferencing. Conventional "speed tests" are meaningless if you don't understand the testing protocol. The key to solving issues with user experience is bandwidth quality. Automated testing is a secure and seamless way to collect key network performance data for single- and multi-edge networks. The user experience is critical, regardless of the application. Configure detailed tests to determine if a network is suitable for its intended purpose. Determine if a connection's capacity is sufficient for the load that it will be expected to handle. Even connections with large capacities can be oversubscribed.

StreamProbe provides a central overview of service availability and video quality at all stages of the media processing & distribution flow. It also offers 24/7 monitoring. All TV service providers and network operators can use StreamProbe to monitor the availability and quality of TV services and platform providers. This will ensure that end-users have the best possible experience and optimize OPEX. You can increase uptime by monitoring and alerting your customers 24/7. Contribution, encoding and packaging. Centralized or distributed architecture, bare-metal, virtualized, onprem, cloud AWS. High density and scalable, hundreds can be monitored simultaneously in one appliance in an all-in-one architecture or distributed architecture with a central monitoring view.

Gisual provides outage intelligence to telecoms and service providers. No more manually diagnosing commercial power outages and correlating them with complaining customers, or other issues with down networks. Gisual's outage alerts will notify you when third-party outages affect your equipment or customers. In seconds, you can diagnose and correlate outages. Don't waste time looking for information to diagnose root causes. Situational awareness is available in seconds. You can view any 3rd party outages on an interactive map or integrate our outage feed into your existing systems. Connect directly to the NOCs and partners you trust. Get real-time information about outages, including updates on restoration times, root cause, affected area, and exact customers that were affected. Easy integration of Gisual's data in your organization. Integration takes on average 1 hour.

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.

AppQoS is a breakthrough in Application Performance Management (APM). It empowers enterprises, ISPs and MSPs to manage application performance across local, remote, and distributed networks. AppQoS provides full stream reassembly, application-level visibility and no network infrastructure overhead. AppQoS provides real-time, passive network analysis for every transaction. It is a compelling solution for distributed networks environments. It provides invaluable information about application performance and health over local and remote networks. AppQoS's unparalleled deployment and operational flexibility allows enterprises, ISPs, MSPs, and Cloud Providers to deliver application performance SLAs across all relevant networked infrastructure.

It provides a high-performance, scalable solution for verifying ABR videos for monitoring both quality and efficiency. ORION-OTT provides passive monitoring of origin server performance, and end-user devices to identify recurring issues and their causes. ORION-OTT's intuitive user interface makes it easy to view the asset monitoring results. To identify the most critical issues, their location and occurrences in an asset, you can drill down on the monitoring runs. You also have more context information to help debug the issues. ORION-OTT's web-based interface allows remote monitoring from any browser-enabled device. This gives users a comprehensive monitoring tool and reporting tool.

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.

Cradlepoint is a global leader for cloud-delivered 4G/5G wireless network edge solutions. Cradlepoint's NetCloud™, platform and cellular routers provide a pervasive, secure and software-defined Wireless WAN edge that connects people, places, things, and everything - anywhere. Cradlepoint is trusted by more than 25,000 government agencies and businesses around the globe, including many Global 2000 agencies and top public sector agencies. Cradlepoint helps keep mission-critical sites, points, commerce, field forces and vehicles connected. Cradlepoint was established in 2006 and acquired by Ericsson at the end of 2020. It is now a separate subsidiary within Ericsson’s Business Area Technologies and New Businesses. Cradlepoint has its headquarters in Boise (Idaho), and has development centers in Silicon Valley, India, and international offices in the UK, and Australia.

Dashboards can be used to monitor service health, troubleshoot alarms, and conduct root cause analysis. Reduce MTTR by integrating ITSM and orchestration tools with real-time event correlation and automated incident prioritization. Advanced analytics such as adaptive thresholding, predictive health scores and anomaly detection can be used to monitor KPI data and prevent problems up to 30 minutes before they occur. Pre-built dashboards allow you to monitor performance and visually correlate services with the underlying infrastructure. Side-by-side comparisons of multiple services can be used to identify root causes. Machine learning algorithms and historical service scores can be used to predict future incidents. You can automatically update your rules using adaptive thresholding or anomaly detection based on historical and observed behavior. This will ensure that your alerts never go out of date.

appNeura products offer actionable insights into the QoS and performance of apps in real-time to enterprises. These insights enable Developers, It/Ops managers and Product owners to immediately take corrective actions to improve app performance and scaleability. Gartner's Innovation Insight for Digital Experience Monitor issued cautionary advice. IT leaders who do not invest in DEM' run the danger of becoming irrelevant as their skills and tools fail to keep pace with an ever-increasing operation complexity and the increasing demand for dynamic, proactive, and personal services. Enhanced visibility into under-utilized or overworked workers. Employee ownership and transparency is increased. Remote workers can be used effectively without having to access any private data.

You can innovate faster in the cloud, improve user experience and future-proof applications. Splunk is designed for cloud-native enterprises and helps you solve current problems. Splunk helps you detect any problem before it becomes a customer problem. Our AI-driven Directed Problemshooting reduces MTTR. Flexible, open-source instrumentation eliminates lock-in. Optimize performance by seeing all of your application and using AI-driven analytics. You must observe everything in order to deliver an excellent end-user experience. NoSample™, full-fidelity trace ingestion allows you to leverage all your trace data and identify any anomalies. Directed Troubleshooting reduces MTTR to quickly identify service dependencies, correlations with the underlying infrastructure, and root-cause errors mapping. You can break down and examine any transaction by any dimension or metric. You can quickly and easily see how your application behaves in different regions, hosts or versions.

BMC Helix Operations Management, a cloud-native, fully integrated, observability, and AIOps system, is designed to address hybrid-cloud environments. For truly effective AIOps, adopt a service-centric approach for observability data. Combine third-party observability data, such as metrics, events logs, incidents and changes, into a central IT storage data store. Service health can be viewed and root cause isolation can be achieved using dynamic business service models that are auto-generated. Increase signal-to-noise ratio through AI event suppression, deduplication and correlation to create actionable circumstances. With data and service models, AI probability assignments to causal nosdes using data and models allow for root cause isolation. Business Service Health monitoring and AI outage prediction can help you prevent problems from ever happening. Log enrichment and analytics make it easy to troubleshoot quickly. Automate your tasks with BMC or third-party tools.

Mist AI is a key component of Juniper's AI Native Networking Platform. It uses a combination artificial intelligence, machine-learning, and data-science techniques to optimize the user experience and simplify operations in the wireless access and wired access domains, SD-WAN and WAN Edge, as well as data center and security domains. Data is ingested across multiple sources, including Juniper Mist Access Points and Switches as well as Session Smart Routers (WAN Edge Routers), Firewalls, and Juniper Mist Access Points. This provides a comprehensive view of the user experience. These devices work together with Mist AI in order to optimize user experience from client to cloud. This includes automated event correlation, Root Cause Identification, Self-Driving Network Operations, Network Assurance, proactive anomaly detector, and more. Juniper uses Mist AI to provide next-generation support for customers. It is the foundational component behind Marvis, which is the industry's very first AI-driven virtual assistant. Marvis provides extensive insight and advice to IT staff.

Moving away from the traditional bottom-up approach for IT infrastructure management will increase efficiency. Business monitoring and event management: Identify and analyze events that impact the business and take appropriate action. Telemetry can be used to identify and resolve business problems. Telemetry is not blindly applied to infrastructure changes. TrueSight allows you to identify the root cause of application performance problems by looking at the underlying infrastructure metrics and logs. Predictive analytics allows you to alert IT when a metric goes out of band, up to three hours before it reaches baseline. To simplify the management of downstream events and impacts, identify and prioritize the most critical business issues regardless of their source.

Reduce false positives by using machine learning (ML), to detect anomalies in business metrics. Grouping outliers that are similar can help you identify the root cause of any anomalies. Summarize root causes, and rank them according to severity. Integrate AWS databases, storage services and third-party SaaS apps seamlessly to monitor metrics and detect anomalies. Automate the sending of customized alerts and taking appropriate actions when anomalies are detected. Automatically detect anomalies in metrics and identify their root causes. Lookout for Metrics uses ML for diagnosing and detecting anomalies in business and operational data. It is difficult to detect unexpected anomalies using traditional methods that are manual and error-prone. Lookout for Metrics uses ML without the need for any artificial intelligence (AI). You can identify unusual variances in subscriptions and conversion rates so you can keep up with sudden changes.

Predictive and predictive analysis of data from various IoT data source, including sensor, device or network, allowing users to take immediate actions on suspected anomalies. Concentio®, IoT Doctor can insulate data from many IoT data sources. It will alert the user if there is a problem with the data and fix it. The data is not used for predictive, descriptive or prescriptive analytics. Concentio®, Production Line Fault Prediction uses AI to perform a predictive analysis of production line components using IoT Data, videos and images. Concentio®, Optimal Asset Management analyzes data from assets that provide utility service to enable the user to maintain the network in a timely manner. Drive asset replacement decisions to reduce capital expenditures.

TrueSight Operations Management provides end-to-end performance monitoring, event management, and event management. It uses AIOps technology to dynamically learn, correlate, analyze and prioritize event data. This allows IT operations teams to predict, find, and fix problems faster. Predictively alert to identify data anomalies and fix issues before they impact service. TrueSight Infrastructure Management allows you to detect and correct performance anomalies before they affect your business. It automatically detects abnormalities in your infrastructure and alerts you when they need attention. This allows you to focus on the most important events for IT and business. TrueSight IT Data Analytics uses machine assisted analysis to analyze log data, metrics and events. With a single click, you can automatically sort through millions of messages to find the right solution faster.

With fewer unplanned interruptions, you can meet production deadlines and revenue goals. Status dashboards and automated alerts notify managers and operations staff of impending failure. This allows them to quickly identify and fix problems before they become costly problems. Predictive and prescriptive maintenance strategies are a better way to address potential failures and performance degradation. By identifying the leading indicators of breakdowns, you can avoid costly replacements of just-in-case parts. Advanced analytics, data mining, and data visualization can quickly and accurately identify root causes. This will allow you to spot hidden patterns in your data. You can quickly and efficiently troubleshoot performance issues and understand why they occurred so you can take corrective actions.

ZIF for IT Operations. Switch from reactive to proactive IT operations and enable frictionless IT. Features a single pane of command. With 100+ plugins, aggregates data from multiple monitoring tools and devices. Get actionable insights into events. Reduces noise in the infrastructure by identifying correlations between events and reducing false alarms Identify Root Cause. Infrastructure and application heat maps make it easier to detect infrastructure issues. Predictive Analytics. Forecasts issues before they cause impact using supervised and unsupervised machines learning algorithms. Notification and Reporting. Notifies the appropriate people through the Virtual Supervisor by logging an incident in the ITSM Tool. Automate tasks. Automate repetitive tasks and complex workflows by setting up triggers. Benefits. 360o visibility of the enterprise. Operational efficiency by noise nullification, driving a faster Mean-Time to Repair. Proactive identification and mitigation of risks based upon patterns that are not dependent on a CMDB

Sensai is an AI-based algorithm that detects anomalies, predicts root causes, and analyzes root causes. This allows for real-time resolution of issues. Sensai AI solution dramatically improves uptime and time to root cause. IT leaders are empowered to manage SLAs for better performance and profitability. Automates anomaly detection, prediction root cause analysis (RCA), and resolution. Integrating 3rd party tools allows for a holistic view and integrated analytics. Pre-trained models & algorithms from day one.

OPUS is a leading platform for industrial no-code AI that allows users to model equipment and processes. With OPUS you can benefit from: - Process optimization insights - Predictive maintenance - Lower power consumption - Increased productivity - Accurate forecasting - Increased asset reliability - Reduced maintenance costs - Improved planning - ESG reporting and carbon reduction insights Without programming or coding experience, existing teams can get insights from their data and predict future outcomes. Explore your asset's data deeper than ever before. Uncovering unexpected correlations. Root cause analysis can be done on individual components to help you focus your efforts. Automated AI predictive insights can help you plan interventions and make informed business decisions. With rapid deployment and AI model results within minutes of being built, you can unleash the power of your existing operational data and achieve real ROI, using your existing team of asset engineers, operators and maintenance managers. Optimize your entire facility, plant, or work site, discover the power of automated AI.

IBM Z Anomaly Analytics software provides intelligent anomaly detection, grouping and identifying operational issues within your enterprise environment. IBM Z Anomaly Analytics builds a model based on historical IBM Z logs and metrics. The model is then used to score real-time data in order to detect anomalous behaviors. A correlation algorithm groups and analyses anomalous events in order to alert operations teams of emerging issues. In today's digital world, your essential services and applications need to be always available. With the increasing costs, skills shortages and changing user habits, detecting and determining hybrid application issues is becoming more complex for enterprises using hybrid applications. By detecting anomalies, you can identify operational issues and prevent costly incidents.

Connects to other applications without the need to modify code. Also, collects performance data in an non-intrusive manner. High throughput ensures premium experience. Machine learning and AI-powered threshold detection allow for root causes analysis based on historical data. Opens O&M data collection standards and APIs, and allows independent development. Apdex, transaction analysis, application auto-discovery and transaction analysis are all available to help users identify problems and improve their experience. Support for Java web containers, communication protocols, databases, and mainstream Java frameworks. Easy access to applications without needing to modify code. Full-stack trace of messages from web browsers and servers to databases; code level O&M. APM allows you to monitor applications in real-time and quickly diagnose faults.

Your enterprise's self-healing IT solution. HEAL's unique cognitive capabilities prevent IT system failures from ever happening, allowing you to focus your energy on other areas of your business. It's not enough to flag incidents after they happen in a fast-paced world. HEAL, a self-healing tool that predicts and prevents instead of fixing what's broken is a new age IT tool. It uses AI algorithms and machine learning to help enterprises run smoothly. HEAL uses a patented technique called workload-behavior correlation'. It analyzes all aspects that contribute to the smooth running an IT system (the cumulative volumes, composition, and payload) and responds to any abnormal behavior. This action can either be a healing or scaling action depending on the root cause.

Arize's machine-learning observability platform automatically detects and diagnoses problems and improves models. Machine learning systems are essential for businesses and customers, but often fail to perform in real life. Arize is an end to-end platform for observing and solving issues in your AI models. Seamlessly enable observation for any model, on any platform, in any environment. SDKs that are lightweight for sending production, validation, or training data. You can link real-time ground truth with predictions, or delay. You can gain confidence in your models' performance once they are deployed. Identify and prevent any performance or prediction drift issues, as well as quality issues, before they become serious. Even the most complex models can be reduced in time to resolution (MTTR). Flexible, easy-to use tools for root cause analysis are available.

AIOps allows you to predict issues, reduce user impact and automate resolutions. Automate and automate IT operations that are reactive. Cross-team automation workflows can help you identify anomalies and fix them before they happen. AIOps enables proactive digital operations. Stop chasing false positives, and identify anomalies faster. Telemetry data can be collected and analyzed for improved visibility and lower noise. Share actionable insights with other teams and identify the root cause of incidents. You can reduce outages by following guided recommendations. Rapidly implementing insights-based solutions can reduce recovery times. Pre-built playbooks and knowledge bases make repetitive tasks easier. Establish a culture that is performance-driven across all teams. DevOps and Site Reliability Engineers, (SREs), should have access to microservices in order to increase observability and speed up incident resolution. Manage the digital lifecycle beyond IT operations.

Service Watch provides Digital Experience Monitoring (DEM), for apps, services, as well as the networks they depend on. IT can have complete visibility and increase employee productivity by combining passive and active monitoring in one holistic solution. You can troubleshoot network performance and detect outages.

AI/ML-driven platform for centralizing and processing large amounts of IT-related information from disparate sources. ITSM technology allows multiple teams to respond more quickly to outages and delays. AIOps is able to tackle daily IT operational problems at scale using diverse technological techniques such as ML, network sciences, combinatorial optimizing, and other computational methods. AIOps enables businesses to address a variety of IT management functions, from intelligent alerting to alert correlation and alert escalation, to auto-remediation to root-cause investigations and capacity optimization. Use a disciplined approach to streamline processes, personnel, information and communication. Manage everything 24/7 through continuous improvement and optimization of operations. Establish processes to reduce the noise that you hear when incidents happen.

By deliberately introducing faults to simulate real-world outages, chaos engineering and testing can improve application resilience. Azure Chaos Studio is an experimentation platform that allows you to quickly find problems in late-stage development and production. Disrupt your apps deliberately to identify gaps and plan mitigations, before your customers experience a problem. To better understand application resilience, subject your Azure apps in a controlled way to faults that are real or simulated. With chaos engineering and testing, you can observe how your apps respond to real-world disruptions, such as network latency or an unexpected storage failure, expiring secrets or even a complete data center outage. Validate product quality where and when it makes sense for your company. Use a hypothesis-based method to improve application resilience by integrating chaos into your CI/CD pipeline.

Middleware Observability & management software for Messaging, event processing, and Streaming Across Hybrid Clouds (MESH). - 360 degree situational awareness® with complete observability of Integration MESH - Manage configuration, administration and deployment in a secure manner and automate them. - Track and trace transactions, messages, and flows - Collect data, monitor performance, and benchmark it meshIQ provides granular controls for managing configurations in the MESH, reducing downtime and allowing quick recovery after outages. It allows you to search, browse, track and trace messages in order to detect bottlenecks, speed up root cause analysis, and detect bottlenecks. Unlocks integration blackbox for visibility across MESH infrastructure in order to visualize, analyse, report and predict. Delivers the capability to trigger automated action based on predefined criteria or intelligent AI/ML actions.

Machine learning (ML), models that are specific to your equipment can be created using data from existing sensors. Automatic equipment monitoring pinpoints anomalous sensors and allows you to respond quickly and precisely. Automated equipment monitoring detects anomalies and immediately notifies you. This will speed up the resolution of issues. By incorporating feedback and anomaly trends, you can improve model performance and accuracy. Amazon Lookout for Equipment, a ML industrial equipment monitoring service, detects abnormal equipment behavior and alerts you to take action to avoid unplanned downtime. Automatically detecting abnormal equipment behavior will help you avoid unplanned downtime. Lookout for Equipment analyzes the sensor data from your industrial equipment to detect abnormal behavior. This allows you to quickly detect anomalies in equipment, diagnose them quickly, and prevent unplanned downtime.

Real-time network anomalies can be addressed and made decisions. Flowmon's actionable information is available in cloud, hybrid, and on-premise environments. Flowmon's network Intelligence integrates SecOps and NetOps into a single solution. It is capable of automated traffic monitoring, threat detection, and provides a solid foundation for informed decision-making. Its intuitive interface makes it easy for IT professionals to quickly understand incidents and anomalies, their context, impact, magnitude and, most importantly, their root cause.

App performance can be improved and users will experience flawless experiences. Due to the increasing complexity of modern applications and the need to provide flawless customer experiences, traditional Application Performance Management (APM), solutions often fail to provide the visibility required to fix problems before they affect the end user. APM solutions need to evolve to include AIOps capabilities that can spot anomalies earlier, predict behavior and enable informed corrective actions. DX Application Performance Management, formerly CA Application Performance Management, or CA APM, is fully integrated with our AIOps software to correlate and analyze data across users and applications. This gives you real-time insight on the health of key business service providers. DX APM automatically identifies the likely cause of an issue using advanced algorithms and machine-learning techniques.

There is nothing to install. Select a URL and select the type of alert that you wish to receive. Notifications will be sent immediately if your network or web performance is affected. A simple dashboard that displays the status of every website being monitored, lists all events, and allows you quickly to modify your account settings. Clear, real-time graphical reports show uptime, downtime, and crashes. To pinpoint the root cause of downtime and performance issues, you can select time and date parameters. You can see how your site is performing by looking at graphical reports that show the average response time for a specific time period. As an additional user, add service provider team members to your site. They will be notified of any dips in performance and connectivity issues and can help fix them.