Top Touchstream VirtualNOC Alternatives

SolarWinds® Server & Application Monitor (SAM) is engineered to oversee and control your applications and their underlying infrastructure, whether they are hosted on-premises or in the cloud. The performance of sluggish applications and unexpected downtime must not disrupt your business operations or affect end users. Quickly identify the underlying issues affecting any application throughout the entire IT stack. With the capability to automatically detect your application's environment, you can initiate monitoring typically within an hour, eliminating the need for consultations or professional services altogether. This efficient setup allows for seamless integration into your existing systems, ensuring that you can maintain optimal performance without delay.

In today's landscape where Cloud and Internet technologies are crucial for achieving business objectives, having dependable internet connectivity is essential. Bigleaf's SD-WAN solution for network optimization provides an efficient and straightforward way to minimize downtime while enhancing the performance of cloud and SaaS applications. Our integrated Cloud Access Network, edge router, and intelligent software collaboratively monitor your internet traffic, adapting to varying circuit conditions and traffic needs—proactively addressing potential interruptions and ensuring superior internet performance. Additionally, Bigleaf equips you with valuable insights into both circuit and traffic performance through an intuitive single interface, complete with comprehensive reports and prompt alerts. Overall, the architecture of Bigleaf is designed to go beyond mere backup solutions; it truly transforms the way you experience internet connectivity. Explore the advantages for yourself by signing up for a complimentary demo today, and discover how Bigleaf can elevate your internet reliability and management experience to unprecedented levels.

The Epitiro remote network monitoring probes provide real-time insights into the performance of your Ethernet, Wi-Fi, and/or LTE services, along with the overall user experience. By strategically placing Epitiro hardware probes in essential locations, you can conduct continuous assessments of network performance and bandwidth across various broadband connections. The user-friendly cloud interface allows for seamless configuration of test networks and scheduling preferences. You have the flexibility to initiate tests either on-demand or at specified intervals. Additionally, you and your team can establish performance alerts to stay informed about any issues. The system also ensures the proper functioning of your splash page and captive portal, while allowing customers and team members to securely monitor performance through their mobile apps or desktops. With enterprise-level administrative functionalities and scalability, these probes offer comprehensive end-to-end performance testing, which includes metrics from Ookla Speedtest, latency, jitter, and packet loss, as well as performance assessments for applications such as Dropbox and YouTube, plus iPerf support. The integration of Quality of Service (QoS) and Quality of Experience (QoE) features elevates the monitoring capabilities, making it an invaluable asset for maintaining optimal network health. In this way, you can ensure that your network consistently meets the demands of users and applications alike.

Introducing a video quality control tool, this software solution enables effective quality management and measurement of QoS across all segments of distributed networks via UDP streams. With probes operational 24/7, users gain comprehensive oversight of their network. Initiating stream monitoring takes less than 30 minutes, allowing for significant savings on equipment and network upkeep. The web interface is designed for ease of use, featuring an intuitive data layout that enhances user experience. Ongoing quality assessment and swift rectification of any issues help maintain a loyal customer base. This tool can be utilized as a cloud-based service or as a standalone option for local networks. Elecard Boro software probes diligently track packet loss, video freezes, and SCTE35 labels across various protocols, including UDP, HLS, DASH, RTP, and HTTP. This solution not only facilitates quick and cost-effective monitoring of content delivery networks but also aids in identifying the most prevalent issues. By implementing this advanced tool, organizations can ensure high service quality and customer satisfaction consistently.

Rapidly detect and predict outages and issues that affect subscribers, many of which frequently go unnoticed. This methodology reveals the consequences, origins, and fundamental reasons for incidents, enabling prioritization and quicker fault resolution while proactively improving the user experience. It forecasts and identifies disruptions and faults across mobile and fixed networks, as well as in both physical and virtual settings. Abnormal incidents that affect network functionality and user satisfaction are categorized, correlated, and analyzed for enhanced evaluation. Fault locations are pinpointed, and root causes are identified to facilitate effective, coordinated, and targeted interventions. By integrating and analyzing information from diverse source systems, it dismantles silos and delivers cohesive insights. Furthermore, it enhances latency, network performance, and service delivery through a thorough, multi-layered anomaly detection system paired with correlated analytics. The approach also addresses transient degradations and persistent problems that could impede performance, ultimately ensuring an exceptional user experience. This proactive strategy not only boosts operational efficiency but also cultivates customer satisfaction and loyalty, driving long-term business success. Continuous improvements and adjustments based on insights gathered contribute to an adaptable and resilient network infrastructure.

GainSeeker Suite is a comprehensive SPC software and manufacturing intelligence platform designed for enterprises, which integrates various manufacturing operations data and transforms it into valuable, actionable insights. By utilizing this platform, our clients can efficiently assess, prioritize, and resolve issues with greater speed and consistency. They are equipped to swiftly pinpoint the underlying causes of problems while discovering concealed opportunities that enhance revenue, boost margins, and optimize asset performance through automated drill-down analytics. Additionally, GainSeeker seamlessly links data from a multitude of systems, including vision systems, PLCs, and gauges, and it also facilitates connections with ERP and MES systems to unify all manufacturing data into a single source. This holistic approach ensures that users have comprehensive visibility into their operations, enabling informed decision-making and continuous improvement.

Vision is designed for ease of implementation and use, showcasing a streamlined architecture that effectively reduces costs while providing immediate, action-oriented root cause analysis. Its software-based probes are capable of unlimited scalability throughout the network, offering broadcasters, network operators, and content distributors a budget-friendly solution for obtaining direct analytical insights at the crucial last mile. By enhancing the reliability of content distribution, Vision enables the real-time monitoring of more points than ever before, guaranteeing an unmatched level of fault tolerance and redundancy through features like hot-swap backups, load balancing, and clustering. Engineered for perpetual operation, Vision supports thorough root cause analysis by capturing video footage of incidents around the clock and preserving a time-correlated trend history. When deployed network-wide, Vision provides a precise view of channel delivery right to the last mile, empowering users to make informed decisions that boost overall performance. This pioneering strategy not only enhances operational efficiency but also greatly elevates the quality of service experienced by end-users, ensuring consistent satisfaction and reliability. Furthermore, the advanced capabilities of Vision pave the way for innovative solutions to emerging challenges in the broadcasting landscape.

Telestream iQ has established itself as a leading entity in the field of video quality monitoring, having been formed from the acquisitions of IneoQuest in 2017 and Tektronix Sentry in 2019, both of which were dominant players in the industry. The organization supports service providers in navigating the complexities of transitioning from SDI to IP, evolving from traditional linear television to OTT streaming, and embracing cloud solutions for various video delivery needs. By utilizing its sophisticated offerings, Telestream iQ improves visibility, furnishes diagnostic and troubleshooting capabilities, and guarantees adherence to service level agreements (SLA), collectively resulting in reduced operational expenses, enhanced efficiency, and increased revenue streams for video service providers. Its platform includes automated monitoring throughout every step of the video delivery process, delivering a thorough end-to-end perspective along with detailed analytics that assist in identifying video quality issues and their root causes. This comprehensive suite of solutions not only enables operators to refine their processes but also ensures that they uphold high standards in video delivery while adapting to an ever-evolving market landscape. Ultimately, Telestream iQ positions itself as an indispensable partner for companies striving to excel in the competitive digital media environment.

CySight’s groundbreaking Actionable Intelligence is relied upon by Fortune 500 companies worldwide, providing organizations with a highly efficient and secure solution to address the growing challenges posed by the complexity and scale of contemporary physical and cloud networking. By leveraging cyber network intelligence, CySight enhances the capabilities of network and security teams, allowing them to significantly speed up incident response times by revealing hidden vulnerabilities, scrutinizing network data to identify irregularities, detecting cyber threats, and assessing the usage and performance of assets. Additionally, CySight’s innovative Dropless Collection technique grants unparalleled visibility into vast network data, ensuring that information is stored in the most compact manner possible, which in turn boosts machine learning, artificial intelligence, and automation efforts to maximize the potential of all types of metadata, regardless of size or complexity. This comprehensive approach not only streamlines operations but also empowers organizations to stay ahead in an ever-evolving digital landscape.

ORION-OTT provides a powerful and adaptable solution for validating ABR videos, prioritizing both Quality of Service (QoS) and Quality of Experience (QoE). It also supports the passive monitoring of origin servers and end-user devices, allowing for the identification of recurring issues and their root causes. The platform features an intuitive interface that effectively showcases monitoring results across various assets. Users have the ability to explore monitoring sessions to identify critical problems, their precise locations, and how often they occur within an asset, while also obtaining contextual information to aid in troubleshooting. Thanks to its web-based architecture, ORION-OTT allows for remote monitoring from any device that has internet access, thus offering a comprehensive array of monitoring and reporting capabilities that are easily available. This adaptability not only keeps users informed but also empowers them to take proactive steps in managing video performance across multiple platforms. Moreover, the continuous updates and enhancements to ORION-OTT ensure that users benefit from the latest features and advancements in video performance monitoring.

appNeura provides businesses with immediate and actionable insights into the quality of their application services. This capability allows Developers, IT/Ops Managers, and Product Owners to quickly enact solutions that enhance both application performance and scalability. Gartner’s report on Innovation Insight for Digital Experience Monitoring emphasizes the necessity of investing in Digital Experience Monitoring (DEM) to prevent obsolescence, warning that IT leaders who overlook this area may struggle with inadequate skills and tools amidst growing operational complexities and the demand for more proactive, personalized, and adaptive services. Additionally, achieving better visibility into both overworked and underutilized personnel fosters increased accountability and transparency among employees, while also enabling effective management of remote workers without infringing on their privacy. As organizations confront these emerging challenges, embracing such insights is essential not only for survival but also for thriving in a competitive landscape. Ultimately, the integration of these insights into business strategies will be pivotal for long-term success.

The StreamProbe solution delivers an all-encompassing perspective on service availability and video quality at every essential phase of media processing and delivery through round-the-clock monitoring. It serves a diverse range of media organizations, such as television service providers, network operators, and platforms involved in linear broadcasting, IPTV, cable, satellite TV, OTT, VOD, nPVR, and transport contribution and distribution, all striving to improve the user experience while reducing operational costs. With its continuous real-time monitoring and alerting system, it empowers operators to detect issues proactively, preventing any negative impact on customers and enhancing overall system uptime. Furthermore, it aids in contribution, encoding, packaging, transport, and linear VOD services, which accelerates the training process for operational teams. The solution's architecture is adaptable, capable of supporting centralized or distributed configurations across bare metal, virtualized settings, or cloud platforms such as AWS. Thanks to its high-density and scalable features, multiple services can be monitored concurrently within a single device, whether in an integrated or distributed setup, all while offering a cohesive monitoring interface. This holistic strategy guarantees that service providers can sustain peak performance and dependability amidst the rapidly changing media landscape, ensuring they remain competitive and effective. Ultimately, the effective use of StreamProbe can lead to improved customer satisfaction and loyalty, making it an invaluable asset for media organizations.

With the rise of cloud-based applications and the expansion of 5G technology, Communication Service Providers (CSPs) find themselves under pressure to focus on providing an exceptional user experience. Both business clients and everyday users demand flawless performance, showing little patience for slow or faulty applications, as well as subpar audio or video quality during virtual interactions. Ensuring high Quality of Service (QoS) alongside an improved Quality of Experience (QoE) is crucial for showcasing the superiority of their networks. To meet these demands, CSPs must achieve an unparalleled understanding of their networks' performance. Cirries' Data Analysis in Real Time (DART) provides this crucial insight. Serving as a comprehensive network performance monitoring tool, DART delivers extensive visibility across various environments, which include physical, virtual, software-defined, and cloud-based networks. By assessing all network traffic and application interactions in real-time, DART produces a wealth of detailed metrics related to voice, video, and application performance. Its capabilities extend to pinpointing network bottlenecks, performance hiccups, application delays, and issues within web applications, thereby ensuring users receive a flawless experience. Furthermore, this groundbreaking tool enables CSPs to make data-driven decisions that further elevate their service quality, ultimately fostering customer loyalty and satisfaction.

Skylight provides comprehensive monitoring solutions designed to enhance network performance and user experience across various applications, clouds, and network setups. As a performance assurance platform, it delivers in-depth visibility into the performance of networks, applications, and services, ranging from the user's edge to the core network and cloud infrastructures. By actively managing performance metrics, Skylight guarantees that networks and cloud applications meet rising performance benchmarks, enhance overall network capacity, and fulfill the high expectations customers have for their experiences. Leveraging sophisticated analytics and machine learning, Skylight adeptly utilizes high-quality performance data to detect, anticipate, and resolve potential issues that could affect users. Users can gather precise and detailed information on networks, applications, and services through Skylight's sensors, which come in both software and hardware formats. These sensors can be deployed anywhere within the network, from remote locations to cloud environments, allowing organizations to tailor their monitoring approaches according to their unique requirements. This adaptability ensures that organizations can effectively enhance their monitoring strategies and optimize overall operational efficiency.

Ascentac Hawkeye Distributed is a sophisticated monitoring system that specializes in Quality of Service (QoS) for multimedia video streaming, enabling the supervision of multiple channels at once. It seamlessly integrates with various services, including SMS, email alerts, alarm systems, and simple network management protocol (SNMP), which empowers users to keep track of video service conditions from remote locations, thereby greatly improving management efficiency. The interface for real-time monitoring is highly customizable, permitting users to modify settings based on different parameters like VLAN ID, MPLS Label, ToS, and IP address, which aids in the swift detection and resolution of problems. Moreover, users gain access to extensive real-time analysis data, including metrics such as program clock reference (PCR) jitter, packet loss, and throughput, all in accordance with TR 101 290 standards. Additionally, the system can generate a variety of detailed statistical reports that users can effortlessly save in PDF format for further review. This robust set of features equips users with the essential tools needed to ensure their multimedia streaming services operate at peak performance, fostering a more reliable viewing experience for end-users. In an environment where streaming quality is paramount, such a system becomes indispensable for maintaining high standards in service delivery.

AppQoS represents a significant advancement in the realm of Application Performance Management (APM). This innovative solution enables businesses, Internet Service Providers (ISPs), and Managed Service Providers (MSPs) to effectively oversee application performance across various local, remote, and distributed network environments. With features like complete stream reassembly and application-level insight, AppQoS operates without imposing additional burdens on network infrastructure. It facilitates real-time, passive analysis of network transactions, making it an essential tool for environments characterized by distributed networks. By offering critical insights into application performance and health across both local and distant networks, AppQoS ensures that organizations can maintain high service levels. Its exceptional flexibility in deployment and operation empowers enterprises, ISPs, MSPs, and Cloud Providers to uphold application performance Service Level Agreements (SLAs) across all pertinent networked systems, ultimately enhancing overall operational efficiency and reliability. This makes AppQoS a vital asset for any organization aiming to optimize its application performance management strategy.

FirstWave is a software organization located in Australia that was started in 2001 and provides software named FirstWave Secure Traffic Manager. FirstWave Secure Traffic Manager provides 24/7 live support and online support. FirstWave Secure Traffic Manager has a free version. FirstWave Secure Traffic Manager is a type of network monitoring software. FirstWave Secure Traffic Manager is offered as Windows software. FirstWave Secure Traffic Manager includes training through documentation, live online, and videos.

VoIP monitoring solutions provide comprehensive insights into WAN performance and essential call quality of service (QoS) metrics. The SolarWinds® VoIP & Network Quality Manager is designed to enhance VoIP performance by analyzing Call Detail Records (CDRs) from platforms such as Cisco CallManager and Avaya Communication Manager. This analysis helps in pinpointing and resolving issues like distortion, latency, and background noise. With VNQM, users can effectively review call detail files from both Cisco and Avaya systems, allowing them to track important metrics including latency and network jitter. This helps in preventing packet delays during VoIP communications. Additionally, SolarWinds VNQM is equipped with robust features that monitor VoIP call QoS, packet loss, and latency, while also evaluating site-to-site WAN performance using Cisco IP SLA technology. By correlating call-related problems with WAN performance data, VNQM facilitates more effective troubleshooting, ensuring that users can maintain optimal communication quality across their networks. Ultimately, these capabilities contribute to a more reliable and efficient VoIP experience.

VQmon is a specialized embedded library designed for real-time analysis of media streams such as VoIP, IP videoconferencing, and video streaming. It delivers in-depth analytics and Quality of Experience (QoE) scores for IP-based media streams. The library offers APIs and standardized payloads compliant with RFC 635 (SIP PUBLISH) and RFC 3611, enabling users to obtain critical metrics. With a successful integration into over 500 million IP phones, media gateways, and testing tools, VQmon has proven its widespread utility. It operates efficiently and scales remarkably, requiring only a minuscule fraction of a microprocessor's resources to monitor individual voice or video streams. Furthermore, it can handle substantial quantities of streams on multicore servers, processing more than 2 million packets for each core. This adaptability allows VQmon to function seamlessly across diverse operating systems and processor architectures, making it a versatile choice for organizations.

Enigma NMS stands at the forefront of the Enterprise Network Management and Monitoring industry. It provides a diverse array of distinctive features, adheres to industry best practices, and boasts an enterprise-level design. Additionally, it is marked by remarkable scalability, robust automation, and consistent stability. Clients are empowered to monitor, report, alert, and oversee all aspects of their enterprise, IoT, and OT systems, irrespective of their complexity or scale. With Enigma, network professionals gain enhanced visibility and comprehensive situational awareness, allowing for increased proactivity in identifying faults, performing analysis, and generating reports, ultimately leading to more informed decision-making. Key features of Enigma include all performance metrics with 60-second polling capabilities for up to five years without averaging, along with NetFlow and configuration management, Quality of Service (QoS), SNMP traps, and comprehensive environmental monitoring across various device types. This includes support for any Object Identifier (OID), applications, routers, switches, servers, firewalls, WAN optimizers, wireless LAN controllers, uninterruptible power supplies, VLANs, SNMPv3, and telecommunications equipment. Furthermore, Enigma NMS's extensive capabilities ensure that it can adapt to the evolving needs of enterprises, making it an essential tool for modern network management.

As the dynamics of contemporary networks continue to shift, organizations are persistently introducing new business services, all while their network infrastructures undergo constant improvements and updates. However, the capability of current network devices to support these new services often remains unclear, which can result in unexpected challenges. To address these potential risks, it is crucial for companies to conduct thorough evaluations of their networks, scrutinize performance metrics, and anticipate the quality of experience (QoE) associated with newly launched services. For quality assurance engineers and IT teams, having swift and efficient strategies to validate and assess performance prior to product or service deployment is of utmost importance. IxChariot emerges as a critical tool that facilitates the rapid evaluation and resolution of issues within networks and applications both before and after deployment. This powerful assessment solution employs software agents termed Performance Endpoints to simulate application traffic, thereby capturing essential performance data that can be easily managed from a centralized console. By leveraging such tools, organizations can substantially improve their service reliability and enhance user satisfaction, ultimately leading to a more resilient network infrastructure that meets evolving business demands. In a landscape where customer expectations are continuously rising, this proactive approach is not just beneficial but necessary for sustained success.

Witbe stands at the forefront of the Quality of Experience sector, providing an acclaimed solution for assessing QoE across various interactive services—whether they be telephony, video, or web—on any device, including PCs, smartphones, and set-top boxes, while traversing any network type, be it fixed, mobile, or over-the-top. Established in 2000, the company has expanded its reach and is now a reliable partner for more than 300 clients across more than 50 nations, earning the trust of broadcasters, operators, and content providers alike through the use of Witbe Robots. Additionally, Witbe's presence on Euronext Growth as a publicly-traded entity further underscores its commitment to excellence and transparency in the industry. The company continues to innovate and adapt, ensuring that it remains a leader in delivering outstanding quality experiences to its clients.

Cradlepoint stands out as a worldwide frontrunner in delivering cloud-based 4G and 5G wireless network edge solutions. Their NetCloud™ platform, along with cellular routers, creates a robust, secure, and software-defined Wireless WAN edge that seamlessly connects individuals, locations, devices, and everything in between, no matter where they are. With over 25,000 government and business clients worldwide, including numerous Global 2000 organizations and leading public sector agencies, Cradlepoint is a trusted partner for maintaining connectivity at crucial sites, commercial points, field teams, and vehicles. Founded in 2006, the company was acquired by Ericsson in late 2020 and now operates as a distinct subsidiary within Ericsson’s Business Area Technologies and New Businesses. Headquartered in Boise, Idaho, Cradlepoint also boasts development facilities in Silicon Valley and India, along with international offices in the UK and Australia, showcasing its commitment to global reach and innovation in wireless solutions. The company's strategic position and technological advancements continue to enhance how entities manage their network needs across diverse environments.

A wide range of network testing solutions exists, covering VoIP and Bandwidth Quality evaluations, in addition to global edge-to-edge implementations. Evaluating VoIP and Video Quality is essential to maintaining the user experience in applications such as voice calls and video meetings. The significance of traditional "speed" tests diminishes if the underlying testing protocol is not fully comprehended. Tackling bandwidth quality is critical to resolving user experience issues that may arise. Automated testing facilitates the seamless and secure gathering of crucial network performance metrics across both single and multi-edge networks. User experience holds the highest priority, irrespective of the application involved. It is crucial to implement comprehensive tests to confirm that a network fulfills its designated purpose. Determining whether a connection's capacity can handle its anticipated load is vital, as even robust connections can suffer from over-subscription, which may result in performance issues. Additionally, regular assessments can help preemptively identify and mitigate potential network bottlenecks. Ultimately, ensuring the dependability and efficiency of network services is key to enhancing user satisfaction.

No installation is necessary; all you need to do is select a URL and indicate the type of alert you wish to receive, and you will start receiving notifications immediately if there is any drop in your web or network performance. The intuitive dashboard provides a clear overview of the status of each monitored site, consolidates all identified events, and allows for quick adjustments to your account settings. With simple real-time graphical reports, you can effectively track uptime, downtime, and crashes. By choosing specific dates and times, you can pinpoint the root causes of any performance issues or outages. Additionally, the graphical reports reveal the average response time during the chosen period, giving you valuable insight into your website's performance. You can also add team members or service providers as users, ensuring they receive alerts about any performance declines or connectivity issues, which promotes a team-oriented approach to swiftly addressing the underlying problems. This all-encompassing monitoring tool simplifies the process of ensuring optimal performance across your network and websites, making it an essential resource for maintaining reliability and efficiency. By leveraging this solution, you can not only enhance your response time but also improve your overall digital strategy.

Dedicate more efforts to developing exceptional software rather than wrestling with it. Raygun is a cloud-based service that specializes in monitoring errors, crashes, and performance for both web and mobile applications. Its robust toolkit equips teams with comprehensive insights into the challenges faced by users, offering detailed information at the code level to uncover the underlying problems. The offerings from Raygun encompass three primary domains: Application Performance Monitoring (APM), Crash Reporting, and Real User Monitoring. These components are seamlessly interconnected, delivering impactful insights that are unparalleled in the industry. With Raygun, you gain an understanding of how users genuinely interact with your software, enabling you to swiftly identify, analyze, and resolve performance challenges with greater efficiency. This proactive approach not only enhances the user experience but also empowers your development team to focus on innovation and improvement.

To effectively detect irregularities in business metrics, it is crucial to minimize false positives through the application of machine learning (ML). By clustering similar outliers, one can delve into the root causes of these anomalies for a thorough examination. Summarizing these underlying issues and ranking them based on severity ensures that organizations can address the most critical problems first. The integration with AWS databases, storage solutions, and third-party SaaS applications enables ongoing monitoring of metrics and anomaly detection. Additionally, implementing customized automated alerts and responses when anomalies are detected boosts operational efficiency significantly. The Lookout for Metrics tool employs ML to automatically identify anomalies in both business and operational data, while also uncovering their root causes. Detecting unexpected anomalies poses a challenge, especially since conventional methods typically depend on manual processes that often introduce errors. Lookout for Metrics alleviates this complexity, empowering users to identify and analyze data inconsistencies without specialized knowledge in artificial intelligence (AI). Furthermore, this tool enables the monitoring of unusual variations in subscriptions, conversion rates, and revenue, promoting a proactive stance against sudden market shifts. By harnessing sophisticated machine learning approaches, businesses can greatly enhance the precision of their anomaly detection endeavors, ultimately leading to better decision-making and more resilient operations. This strategic application of technology thus not only improves detection but also fosters a culture of continuous improvement within organizations.

LibreQoS is a dedicated framework designed to elevate Quality of Experience (QoE) and to employ Smart Queue Management (SQM) across different networks, specifically addressing the requirements of Internet Service Providers. This cutting-edge method seeks not only to enhance network efficiency but also to boost overall user contentment, ensuring a seamless online experience. By focusing on these crucial aspects, LibreQoS stands out as a vital tool for modern network management.

ZIF revolutionizes IT Operations by transitioning from a reactive stance to a proactive methodology, which streamlines IT processes effectively. It offers a centralized command interface that gathers data from a wide array of monitoring tools and devices, enhanced by more than 100 plugins. This configuration provides actionable insights into events, significantly reducing infrastructure noise by correlating incidents and minimizing false alarms. Moreover, it assists in quickly pinpointing root causes through the use of infrastructure and application heat maps, thereby expediting issue detection. By leveraging predictive analytics, potential disruptions are anticipated before they escalate into major problems, utilizing both supervised and unsupervised machine learning approaches. The system also records incidents within the IT Service Management (ITSM) tool and ensures that the relevant personnel receive notifications via the Virtual Supervisor. Additionally, it automates repetitive and intricate workflows, which further boosts overall efficiency. The advantages include extensive visibility throughout the enterprise, enhanced operational efficiency due to noise reduction, and the capacity to proactively identify risks based on emerging patterns without needing a Configuration Management Database (CMDB). As a result, organizations can achieve a faster Mean-Time-To-Repair (MTTR) while fortifying their IT infrastructure against potential vulnerabilities. This proactive approach ultimately leads to a more resilient IT environment, allowing for greater adaptability in a rapidly changing technological landscape.

Amazon DevOps Guru is an innovative service driven by machine learning that optimizes the efficiency and reliability of applications. By detecting deviations from standard operating behaviors, it enables early identification of operational issues, thus mitigating possible negative impacts on users. Utilizing machine learning models that have been developed from vast amounts of data over many years at Amazon.com and AWS Operational Excellence, it can identify atypical application activities such as increased latency, higher error rates, and resource limitations, which assist in uncovering critical errors that could interrupt service. When a significant issue is detected, DevOps Guru swiftly sends out an alert, providing a summary of the detected anomalies, insights into likely root causes, and information on when and where the issue occurred. This proactive methodology not only enhances application performance but also contributes to creating a more robust and trustworthy service environment. Furthermore, by continuously learning from operational data, it consistently improves its accuracy in identifying potential issues before they escalate.

Record user sessions to easily reproduce JavaScript errors without having to ask for details from the user. Check out a demonstration in our interactive sandbox. RootCause provides a robust set of tools to effectively track and recreate errors within websites and applications. Thanks to the built-in recording feature, you will have an accurate record of user interactions. After capturing an error, you can simply go to the web-based Replay Studio to replay the session and recreate the error with a single click. This feature removes the hassle of sifting through complex call stacks or lengthy logs in your bug-tracking efforts. Furthermore, by using the Feedback button, you can collect user feedback on visual, usability, or rendering problems, which will help you enhance the overall user experience. This all-encompassing strategy not only simplifies error management but also fosters better communication with users about possible issues, ensuring that their concerns are addressed promptly. Emphasizing user feedback further enriches the development process and contributes to a more polished final product.

Implement AI-based monitoring tools to proactively tackle incidents without requiring expertise in machine learning. Azure AI Metrics Advisor, which employs the AI Anomaly Detector as part of the Azure AI Services suite, allows you to effectively monitor key growth elements within your organization, including sales and manufacturing operations. This powerful solution facilitates quick detection and resolution of issues through near real-time monitoring, adaptive modeling that caters to your unique context, and comprehensive diagnostics paired with alert notifications. The user-friendly interface of AI Metrics Advisor streamlines the management of extensive data monitoring, effortlessly integrating with popular time-series databases while also providing stream monitoring features. It assesses all possible combinations of dimensions to pinpoint affected areas for in-depth root-cause analysis and diagnostics, in addition to generating alerts. Furthermore, a guided autotuning feature is available, enabling you to customize the service to meet your specific needs, thus optimizing the overall monitoring experience. By harnessing these sophisticated capabilities, organizations can significantly boost their operational efficiency and agility in addressing new challenges, ultimately leading to improved decision-making and resource allocation. This proactive approach ensures that businesses remain ahead of potential issues, fostering a culture of continuous improvement and resilience.

Aurea Monitor offers vital resources for overseeing systems, diagnosing root causes, and detecting issues, which empowers your organization to function effectively in real time. By implementing real-time monitoring, businesses can swiftly identify and rectify system challenges before they impact customers, thereby reducing downtime. The ability to promptly recognize and address application issues is essential for sustaining customer satisfaction and loyalty. Moreover, Aurea Monitor boosts your ability to quickly detect potential vulnerabilities and inefficiencies in system performance, facilitating immediate corrections that enhance the customer experience. It automatically discovers and maps all systems within your infrastructure tied to business processes, providing a comprehensive view as changes unfold over time. Striving for 100% uptime becomes feasible as Aurea Monitor continually supervises and logs all operational activities, delivering proactive issue identification and notifications to help you resolve problems with greater efficiency. This solution not only strengthens your operational reliability but also fosters a smoother, more dependable experience for your customers, ultimately positioning your business for long-term success.

Diagnosing and fixing performance problems and errors in your microservices involves a thorough examination of root causes through traces, logs, and metrics. By utilizing Aspecto's integrated remote sampling, you can significantly cut down on OpenTelemetry trace costs. The manner in which OTel data is presented plays a crucial role in your troubleshooting capabilities; with outstanding visualization, you can effortlessly drill down from a broad overview to detailed specifics. The ability to correlate logs with their associated traces with a simple click facilitates easy navigation. Throughout this process, maintaining context is vital for quicker issue resolution. Employ filters, free-text search, and grouping options to navigate your trace data efficiently, allowing for the quick pinpointing of issues within your system. Optimize costs by sampling only the essential information, directing your focus on traces by specific languages, libraries, routes, and errors. Ensure data privacy by masking sensitive details within trace data or certain routes. Moreover, incorporate your daily tools into your processes, such as logs, error monitoring, and external events APIs, to boost your operational efficiency. This holistic approach not only streamlines your troubleshooting but also makes it cost-effective and highly efficient. By actively engaging with these strategies, your team will be better equipped to maintain high-performing microservices that meet both user expectations and business goals.

Say farewell to the frustrating days spent uncovering root causes within your hybrid setup. HPE InfoSight consistently collects and analyzes data from a vast network of over 100,000 systems worldwide, converting that data into smarter, more autonomous solutions. It boasts an impressive capability to predict and resolve 86% of customer issues without manual intervention. To guarantee your applications remain operational and perform optimally, you require enhanced visibility, intelligent performance recommendations, and improved predictive autonomous functions from your infrastructure. HPE InfoSight App Insights is your answer to these needs. This tool transcends traditional performance monitoring by enabling rapid identification, diagnosis, and even proactive anticipation of issues across various applications and workloads through advanced AI technology. With HPE InfoSight, achieving a fully autonomous infrastructure is no longer a distant aspiration but a vivid reality, leading to a more streamlined and efficient operational landscape. Ultimately, this breakthrough not only simplifies workflows but also allows organizations to dedicate more resources to strategic goals rather than merely fixing problems. This shift results in a more innovative and forward-thinking approach to business operations.

Leverage AIOps to anticipate issues, reduce user impact, and optimize resolution workflows. Shift from a reactionary stance in IT operations to a proactive one that utilizes insights and automation for enhanced efficiency. By identifying unusual trends, you can tackle potential problems ahead of time through collaborative automation processes. AIOps improves digital operations by prioritizing proactive strategies instead of simply reacting to incidents. You can also eliminate the stress of dealing with false positives as you accurately identify anomalies. By collecting and analyzing telemetry data, you gain superior visibility while cutting down on unnecessary interruptions. Understanding the root causes of incidents allows teams to receive actionable insights that promote better collaboration. Taking preventative measures can lead to fewer outages by adhering to suggested guidelines, fostering a more resilient infrastructure. Speed up recovery initiatives by promptly applying solutions based on analytical insights. Make repetitive tasks more efficient by using pre-designed playbooks and resources from your knowledge base. Cultivate a performance-driven culture across all teams involved. Provide DevOps and Site Reliability Engineers (SREs) with the visibility they need into microservices, which will enhance observability and hasten incident responses. Broaden your perspective beyond IT operations to effectively manage the entire digital lifecycle and ensure smooth digital interactions. Ultimately, embracing AIOps not only prepares your organization to tackle challenges but also sustains operational excellence while paving the way for continuous improvement and innovation.

Soda assists in the management of data operations by detecting problems and notifying the appropriate personnel. With its automated and self-serve monitoring features, no data or individual is overlooked. By offering comprehensive observability across your data workloads, you can proactively address potential issues. Furthermore, data teams can identify problems that may escape automation's notice. The self-service functionalities ensure extensive coverage is maintained for data monitoring needs. Timely alerts are sent to the relevant individuals, enabling business teams to diagnose, prioritize, and resolve data challenges effectively. Importantly, your data remains securely within your private cloud, as Soda monitors it at the source while only storing metadata within your cloud environment. This way, Soda provides a robust solution for ensuring the integrity and reliability of your data operations.

ServiceNow® Problem Management simplifies the restoration of services, often allowing organizations to prevent future problems entirely. By implementing a structured workflow that pinpoints root causes and addresses issues, ServiceNow helps organizations eliminate recurring incidents and mitigate the impact of unexpected disruptions. Automated workflows enable problem managers to efficiently record both solutions and workarounds, allowing IT teams to focus on their core responsibilities and improve overall productivity. With a consolidated view of incidents and associated changes, IT professionals can respond more swiftly and resolve issues effectively. Speed up the resolution process, minimize interruptions, and reduce negative consequences by sharing solutions and workarounds promptly. Additionally, the platform allows users to identify and address potential failure points while evaluating the implications of various issues all in one place. By providing IT teams with the necessary tools to resolve problems at their source, the chances of experiencing future disruptions due to repeated incidents are greatly reduced. Moreover, keeping service subscribers informed fosters transparency and encourages better collaboration among teams. This enhanced level of communication ultimately leads to a more cohesive and efficient organization, significantly improving the quality of service delivered. Ultimately, the comprehensive approach of ServiceNow empowers organizations to adopt a proactive stance towards managing IT challenges.

Gisual provides outage intelligence specifically designed for telecommunications firms and service providers, streamlining the often tedious manual processes involved in linking commercial power outages with customer grievances or network disruptions due to impaired circuits. By opting for Gisual’s outage intelligence, subscribers can receive prompt notifications about third-party outages that could affect their infrastructure and clients, facilitating rapid identification and correlation of outages in mere seconds. This service eliminates the lengthy search processes typically required to uncover root causes, significantly boosting situational awareness almost instantly. Users have the option to visualize third-party outages on an interactive map or to integrate the outage data smoothly into their existing systems. Establishing direct connections with vital partners and Network Operations Centers (NOCs) becomes seamless, enhancing overall communication and response times. Subscribers gain real-time access to outage intelligence complete with ongoing updates, including estimated restoration times, exact outage locations, root causes, areas affected, and the specific customers impacted. Implementing Gisual's data within your organization is not only straightforward but also efficient, with an average setup duration of only one hour, allowing for quick utilization of this essential information. With Gisual, businesses can significantly boost operational efficiency and elevate customer satisfaction, paving the way for a more responsive service environment. This innovative approach ensures you stay ahead in a competitive market by effectively managing outages and enhancing the overall customer experience.

RTEAM is a cutting-edge platform that provides real-time capabilities for users to set alerts and manage exceptions efficiently. These alerts function as immediate notifications for critical issues that demand swift intervention across diverse industries, including fieldwork, operations, and dispatch. In tandem, exceptions are logged in real-time to allow for future assessment and analysis. The platform boasts a well-organized workflow process that guarantees the timely collection of relevant information, which greatly enhances the quality and accuracy of the data needed for thorough root cause investigations. Important metrics like response time, turnaround time, chute time, types of issues encountered, and occurrences of transport refusals play a vital role in pinpointing areas where additional training may be advantageous. Furthermore, users can effortlessly track exceptions as they occur and assign reason codes using an intuitive workflow interface. By examining the compiled data, teams can uncover root causes and formulate effective strategies to tackle these challenges, which in turn leads to heightened operational efficiency and improved service quality. This all-encompassing methodology not only supports ongoing process enhancements but also significantly boosts overall organizational effectiveness, ensuring that teams are always ready to adapt to new challenges. As a result, RTEAM fosters an environment of proactive problem-solving and continuous growth.

The Error Reporting tool provides real-time oversight and alerts for exceptions by counting, assessing, and compiling incidents within your cloud services. It boasts a unified interface for managing errors, allowing users to sort and filter results efficiently. A dedicated view offers detailed insights into errors, complete with a timeline chart, occurrence frequency, number of affected users, and dates of the first and last incidents, along with an organized exception stack trace. Users also have the option to receive notifications via email and mobile devices regarding any newly detected errors. Quickly grasp the most critical or recently identified errors through an easy-to-navigate dashboard. Relying solely on a log stream for identifying significant errors can impede your troubleshooting process, but Error Reporting supplies you with processed data to facilitate a faster understanding and resolution of underlying issues. Moreover, this tool significantly improves the effectiveness of your overall incident response strategy, ensuring that you are always aware of any problems as they arise.

Deliver prompt and practical insights that ensure thorough visibility and analysis of trends, optimize operations, enhance security measures, and improve customer experiences throughout payment processes, applications, and infrastructure. Simplify the complexities of payment systems into clear graphics and actionable data reflecting transaction flows and system efficacy. Exceed customer expectations and improve retention rates by guaranteeing constant uptime, efficient deployments, and smooth integrations. Utilize rapid troubleshooting methods, dynamic thresholds, and tailored alerts to swiftly detect and address performance issues before they impact users. Tackle performance hurdles proactively with continuous monitoring and adaptive notifications that provide real-time insights into transaction activities. Address underlying causes of potential issues before they affect the customer experience. Acquire the capability to explore queue statuses, transaction volumes, and bottlenecks through a single interface, providing a comprehensive perspective. Transform complex data sets into actionable intelligence, uncovering valuable insights that inform strategic decisions. By adopting this approach, organizations are empowered to stay ahead of emerging trends and maintain a competitive advantage in a continuously shifting financial landscape. Consequently, this commitment to efficiency and insight not only enhances operational effectiveness but also fosters long-term customer loyalty and satisfaction.

Shield34 emerges as the unique web automation framework that guarantees full compatibility with Selenium, allowing users to effortlessly carry on with their pre-existing Selenium scripts while also crafting new ones through the Selenium API. It addresses the persistent challenge of flaky tests by utilizing self-healing technology, smart defenses, error recovery systems, and dynamic element locators. In addition, it features AI-driven anomaly detection and root cause analysis, which enable a rapid review of failed tests to determine the changes that caused the failure. By effectively eliminating flaky tests, which are often a significant obstacle, Shield34 integrates advanced AI algorithms for defense and recovery into each Selenium command, including dynamic element locators, thereby minimizing false positives and fostering self-healing while ensuring maintenance-free testing. Moreover, its real-time root cause analysis capabilities, powered by AI, allow Shield34 to quickly uncover the fundamental reasons behind test failures, significantly lessening the debugging load and simplifying the process of issue replication. This innovative approach results in a more intelligent iteration of Selenium, seamlessly blending with your current testing framework and significantly boosting overall productivity. Consequently, users can expect a more streamlined and efficient testing experience, making Shield34 an invaluable asset in the realm of web automation.

Reveal the underlying structure within your complex data environment and always know where to find answers. Datakin effortlessly monitors data lineage, showcasing your entire data ecosystem with an interactive visual graph. This visual representation clearly illustrates both the upstream and downstream relationships connected to each dataset. The Duration tab offers insights into job performance displayed in a Gantt-style format, along with its upstream dependencies, making it easier to pinpoint potential bottlenecks. When you need to identify the exact moment a breaking change occurs, the Compare tab enables you to track the evolution of your jobs and datasets across different runs. Sometimes, jobs that finish successfully may still produce unsatisfactory results. The Quality tab provides essential data quality metrics and their variations over time, highlighting any anomalies. By enabling quick identification of root causes for issues, Datakin is crucial in averting future complications. This proactive strategy not only maintains the reliability of your data but also enhances its effectiveness in meeting the demands of your business. Consequently, Datakin empowers organizations to operate more efficiently and make informed decisions based on accurate data insights.

Azure Spring Apps serves as a robust managed environment tailored specifically for Spring developers, allowing them to focus on coding instead of dealing with infrastructure issues. The platform supports a diverse array of Spring applications, including web applications, microservices, event-driven architectures, serverless solutions, and batch processing, all without the need for Kubernetes. By utilizing this service, developers can tap into the Azure ecosystem and maximize their existing investments effectively. With the integration of Azure Monitor, users can obtain valuable insights into application dependencies and operational metrics, facilitating data aggregation that enhances the understanding of service interactions alongside average performance and error rates. This feature simplifies the process of identifying root causes behind reliability issues and performance degradation. Prioritizing what is essential—your applications, business logic, and delivering value to end-users—can significantly improve your development workflow. Additionally, the platform allows for the deployment of a variety of Spring or Polyglot applications, whether from source code or pre-built artifacts, and includes features for container management and maintenance. Consequently, Azure Spring Apps not only empowers developers to innovate swiftly but also ensures that operational challenges are handled efficiently, ultimately leading to a more streamlined development experience. This focus on rapid innovation while managing operational tasks creates an environment where creativity can flourish alongside stability.

Riverbed NPM+ is a cloud-based solution that collects decrypted packet data from all user and server endpoints. This cutting-edge service effectively mitigates visibility issues arising from encrypted tunnels, particularly in remote work environments and cloud-native infrastructures. By adopting an agent-based deployment approach, it offers flexibility, user-friendliness, and scalability. Leveraging artificial intelligence for enhanced network observability, Riverbed significantly improves the speed of issue detection and overall service dependability. The platform is equipped with smart, interactive workflows that streamline root cause analysis, diagnostics, and problem-solving for network management teams. As businesses navigate the complexities of diverse architectures, fluctuating workloads, remote work patterns, and increasing security threats, the necessity for robust network observability tools is at an all-time high. Riverbed's latest solutions are tailored to meet these critical needs effectively. Organizations can unlock the full potential of their digital investments and boost network performance through Riverbed's extensive offerings, ensuring they maintain a competitive edge in today's fast-paced environment. With Riverbed, your organization can confidently tackle future challenges while optimizing operational efficiency.

Our Purpose To support healthcare organizations in optimizing their use of Cerner®, Millennium™. Our Aspiration To deliver cutting-edge solutions for intricate challenges. By merging our expertise in the industry with advanced software, we tackle complicated issues effectively, enabling us to attain outcomes that surpass what either component could achieve independently. This collaborative approach enhances our capacity to drive meaningful change in healthcare.

IBM® Z® Operations Analytics is an advanced solution crafted to streamline the exploration, visualization, and examination of vast structured and unstructured operational datasets in IBM Z settings, which include log files, event logs, service requests, and performance indicators. Leveraging your analytics platform in conjunction with machine learning can significantly improve enterprise insights, allowing you to detect workload complications, reveal underlying challenges, and accelerate the process of root cause analysis. The integration of machine learning plays a crucial role in establishing a standard for normal system operations, which aids in the swift identification of operational irregularities. Moreover, it empowers you to recognize emerging issues across a range of services, facilitating timely alerts and cognitive adjustments to shifting circumstances. This robust tool provides expert guidance for corrective actions, thereby improving overall service reliability. It also assists in detecting unusual workload trends and brings to light frequent issues that might be hidden within operational data. Ultimately, it reduces the timeframe required for root cause analysis, effectively leveraging the rich domain expertise of IBM Z and applying its insights within your analytics strategy. As a result, organizations can cultivate a more agile and resilient operational landscape, enabling them to respond more adeptly to challenges. By fully utilizing these capabilities, businesses can not only enhance their operational efficiency but also foster innovation and adaptability in a rapidly changing environment.

MapleSim is an advanced modeling platform that facilitates everything from the implementation of digital twins for virtual commissioning to the development of comprehensive system models for complex engineering projects, thereby achieving considerable reductions in both time and cost associated with development while effectively tackling real-world performance issues. By focusing on enhancing control code instead of making hardware changes, users can eliminate unwanted vibrations and identify the root causes of performance challenges through detailed simulation analysis. This robust tool enables the assessment of design performance before progressing to the creation of physical prototypes. Utilizing the latest methodologies, MapleSim significantly accelerates the process of model development and deepens the understanding of system dynamics, allowing for swift, high-fidelity simulations. As your simulation needs grow, the platform provides the flexibility to scale and interconnect your models seamlessly. Its versatile modeling language allows for the expansion of designs by integrating components from various domains within a virtual prototype, confidently addressing even the most complex machine performance issues. Furthermore, the iterative nature of the tool encourages continuous refinement and improvement, ultimately empowering engineers to pursue innovation with both efficiency and precision, ensuring their designs fulfill the high standards required for contemporary engineering challenges. In essence, MapleSim is a vital asset for any engineer aiming to navigate the complexities of modern design and simulation effectively.

Opster's AutoOps platform enhances mapping, stabilizes operational processes, and boosts resource efficiency, leading to lower hardware expenses and improved performance metrics. Merely having orchestration, management features, and ticket-based support falls short of what is required. AutoOps delivers comprehensive real-time assistance to meet all operational needs. It is capable of diagnosing issues across the entire scope of Elasticsearch operations. The platform not only offers accurate root cause analysis but also assists in resolving identified problems effectively. Advanced optimizations, such as shard rebalancing and the ability to block resource-heavy searches, can be executed by AutoOps. Furthermore, it optimizes templates, ensuring that your cluster maintains its highest performance levels and resilience. Ultimately, Opster's AutoOps platform empowers clients to significantly minimize the hardware necessary for their deployments through its advanced optimization techniques. This holistic approach not only enhances operational efficiency but also sets a new standard for resource management in the industry.