Alternatives to Nazar

Epsagon allows teams to instantly visualize, understand, and optimize their microservice architectures. With our unique lightweight auto-instrumentation, gaps in data and manual work associated with other APM solutions are eliminated, providing significant reductions in issue detection, root cause analysis and resolution times. Epsagon can increase development speed and reduce application downtime.

Sematext Cloud provides all-in-one observability solutions for modern software-based businesses. It provides key insights into both front-end and back-end performance. Sematext includes infrastructure, synthetic monitoring, transaction tracking, log management, and real user & synthetic monitoring. Sematext provides full-stack visibility for businesses by quickly and easily exposing key performance issues through a single Cloud solution or On-Premise.

Safeguard business service-level agreements by utilizing dashboards that enable monitoring of service health, troubleshooting alerts, and conducting root cause analyses. Enhance mean time to resolution (MTTR) through real-time event correlation, automated incident prioritization, and seamless integrations with IT service management (ITSM) and orchestration tools. Leverage advanced analytics, including anomaly detection, adaptive thresholding, and predictive health scoring, to keep an eye on key performance indicators (KPIs) and proactively avert potential issues up to 30 minutes ahead of time. Track performance in alignment with business operations through ready-made dashboards that not only display service health but also visually link services to their underlying infrastructure. Employ side-by-side comparisons of various services while correlating metrics over time to uncover root causes effectively. Utilize machine learning algorithms alongside historical service health scores to forecast future incidents accurately. Implement adaptive thresholding and anomaly detection techniques that automatically refine rules based on previously observed behaviors, ensuring that your alerts remain relevant and timely. This continuous monitoring and adjustment of thresholds can significantly enhance operational efficiency.

Searching and analyzing structured data is easy; however, over 80% of generated data is unstructured, requiring a different approach. Machine learning converts unstructured data into high-dimensional vectors of numerical values, which makes it possible to find patterns or relationships within that data type. Unfortunately, traditional databases were never meant to store vectors or embeddings and can not meet unstructured data's scalability and performance requirements. Zilliz Cloud is a cloud-native vector database that stores, indexes, and searches for billions of embedding vectors to power enterprise-grade similarity search, recommender systems, anomaly detection, and more. Zilliz Cloud, built on the popular open-source vector database Milvus, allows for easy integration with vectorizers from OpenAI, Cohere, HuggingFace, and other popular models. Purpose-built to solve the challenge of managing billions of embeddings, Zilliz Cloud makes it easy to build applications for scale.

InsightFinder Unified Intelligence Engine platform (UIE) provides human-centered AI solutions to identify root causes of incidents and prevent them from happening. InsightFinder uses patented self-tuning, unsupervised machine learning to continuously learn from logs, traces and triage threads of DevOps Engineers and SREs to identify root causes and predict future incidents. Companies of all sizes have adopted the platform and found that they can predict business-impacting incidents hours ahead of time with clearly identified root causes. You can get a complete overview of your IT Ops environment, including trends and patterns as well as team activities. You can also view calculations that show overall downtime savings, cost-of-labor savings, and the number of incidents solved.

Sensai offers a cutting-edge AI-driven platform for detecting anomalies, performing root cause analysis, and forecasting issues, which allows for immediate problem resolution. The Sensai AI solution greatly enhances system uptime and accelerates the identification of root causes. By equipping IT leaders with the tools to effectively manage service level agreements (SLAs), it boosts both performance and profitability. Additionally, it automates and simplifies the processes of anomaly detection, prediction, root cause analysis, and resolution. With its comprehensive perspective and integrated analytics, Sensai seamlessly connects with third-party tools. Users benefit from pre-trained algorithms and models available from the outset, ensuring a swift and efficient implementation. This holistic approach helps organizations maintain operational efficiency while proactively addressing potential disruptions.

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

Sightline EDM: Improved Operations, Right Out of the Box Predictive analytics and performance and risk-based monitoring used to be a complicated process. Between endless Excel files and disjointed communication between departments, a lot of information was lost. When you switch to Sightline EDM, you can start making the best decisions for your operations, prepare for the future, and begin saving time and money immediately in one easy-to-use platform. One Easy-to-Use Dashboard Data from multiple monitoring tools can be consolidated into a single display: a uniform, easy-to-use dashboard with drill-down details. Real-Time OT & IT Intelligence With configurable notifications to any errors or anomalies, visualize and analyze production and operations in minutes, not months. Scalable Usability for All Organizations & Teams Proven, enterprise-grade, scalable software solution with role-based access controls, security, and user views that works with all web browsers and mobile devices. Pre-Built Integrations Across Systems Data from PLCs, CNC machines, process equipment, ERP/MES systems, and other vital data sources is gathered in minutes, not months, using open, agent, and agentless interfaces.

Eliminate the issue of abandoned data catalogs with Acryl Cloud, which accelerates value realization through Shift Left methodologies for data producers and offers a user-friendly interface for consumers. It enables real-time identification of data quality issues, automates the detection of anomalies to avert potential problems, and facilitates swift resolution when issues arise. Acryl Cloud accommodates both push and pull approaches for metadata ingestion, making maintenance straightforward while ensuring that the information remains reliable, current, and comprehensive. Data should function seamlessly in operations. Move beyond mere visibility by implementing automated Metadata Tests that continuously reveal insights and identify new opportunities for enhancement. By clarifying asset ownership and employing automatic detection, streamlined notifications, and temporal lineage for tracing root causes, confusion is minimized, and resolution times are significantly shortened. In doing so, organizations can create a more efficient and effective data management environment.

Harness the power of AI for detecting anomalies and analyzing root causes related to the key metrics that influence your organization. With machine learning technology, Avora provides constant, round-the-clock surveillance of your business metrics, notifying you of significant events promptly, allowing you to respond within hours instead of waiting days or weeks. It processes millions of records each hour to identify unusual patterns, revealing both risks and opportunities that could impact your operations. By employing root cause analysis, you can pinpoint the elements affecting your business metrics, enabling swift and informed decision-making. Integrate Avora’s machine learning features and alert systems seamlessly into your applications through our comprehensive APIs. Receive notifications about anomalies, shifts in trends, and threshold breaches through various channels such as email, Slack, Microsoft Teams, or any other service via Webhooks. Collaborate effectively by sharing valuable insights with your team members, and invite them to monitor current metrics and get real-time alerts, fostering a proactive approach to business management. This collaborative environment enhances your ability to stay informed and agile in a rapidly changing landscape.

IBM Z Anomaly Analytics is a sophisticated software solution designed to detect and categorize anomalies, enabling organizations to proactively address operational challenges within their environments. By leveraging historical log and metric data from IBM Z, the software constructs a model that represents typical operational behavior. This model is then utilized to assess real-time data for any deviations that indicate unusual behavior. Following this, a correlation algorithm systematically organizes and evaluates these anomalies, offering timely alerts to operational teams regarding potential issues. In the fast-paced digital landscape today, maintaining the availability of essential services and applications is crucial. For businesses operating with hybrid applications, including those on IBM Z, identifying the root causes of issues has become increasingly challenging due to factors such as escalating costs, a shortage of skilled professionals, and shifts in user behavior. By detecting anomalies in both log and metric data, organizations can proactively uncover operational issues, thereby preventing expensive incidents and ensuring smoother operations. Ultimately, this advanced analytics capability not only enhances operational efficiency but also supports better decision-making processes within enterprises.

FusionReactor can quickly identify bottlenecks in your Java or ColdFusion app, as well as in your server and database. This will make your Java or ColdFusion applications run more efficiently and faster. The integrated production safe Debugger allows you to quickly identify bugs and reduce technical debt, allowing you to spend more time writing better code. FusionReactor continuously monitors your app and database. If an error occurs, an automatic root cause analysis will trigger. You will immediately be notified of the location. You don't have to look for the needle anymore. You can immediately fix the problem. Free trial available see https://www.fusion-reactor.com/start-free-trial/ You'll find all the APM features that you want, plus some new features that you didn’t know existed. FusionReactor is a revolutionary APM tool that will allow you to keep production systems online for longer and produce better results.

Elevate your log management with Honeycomb, a platform designed specifically for contemporary development teams aiming to gain insights into application performance while enhancing log management capabilities. With Honeycomb’s rapid query functionality, you can uncover hidden issues across your system’s logs, metrics, and traces, utilizing interactive charts that provide an in-depth analysis of raw data that boasts high cardinality. You can set up Service Level Objectives (SLOs) that reflect user priorities, which helps in reducing unnecessary alerts and allows you to focus on what truly matters. By minimizing on-call responsibilities and speeding up code deployment, you can ensure customer satisfaction remains high. Identify the root causes of performance issues, optimize your code efficiently, and view your production environment in high resolution. Our SLOs will alert you when customers experience difficulties, enabling you to swiftly investigate the underlying problems—all from a single interface. Additionally, the Query Builder empowers you to dissect your data effortlessly, allowing you to visualize behavioral trends for both individual users and services, organized by various dimensions for enhanced analytical insights. This comprehensive approach ensures that your team can respond proactively to performance challenges while refining the overall user experience.

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.

Revolutionizing observability brings context and performance into a unified space, suitable for any stack and scale. Achieve thorough end-to-end visibility by effortlessly monitoring applications, infrastructure, databases, and more from a single, user-friendly dashboard. With just a few clicks, trace and analyze digital journeys seamlessly from browsers and applications to the infrastructure layer. Discover invaluable insights into user experiences, identify where dropouts occur, and highlight critical aspects of business transactions through in-depth user analytics and real user monitoring (RUM). This allows for quick adaptation, optimization, and innovation powered by real-time visibility and swift root-cause analysis. Additionally, our dedicated team of experts is available 24/7, 365 days a year, ensuring you receive prompt assistance and tailored support for your unique requirements, which further enhances your operational efficiency. The combination of these features empowers businesses to stay ahead in a rapidly evolving digital landscape.

Accelerate the transition from data to tangible business results with Splunk. Splunk Enterprise streamlines the process of gathering, analyzing, and leveraging the hidden potential of the vast data created by your technological framework, security measures, and enterprise applications—equipping you with the knowledge necessary to enhance operational efficiency and achieve business objectives. Effortlessly gather and index log and machine data from a variety of sources. Merge your machine data with information stored in relational databases, data warehouses, as well as Hadoop and NoSQL data repositories. The platform's multi-site clustering and automatic load balancing capabilities are designed to accommodate hundreds of terabytes of data daily, ensuring quick response times and uninterrupted access. Customizing Splunk Enterprise to suit various project requirements is straightforward with the Splunk platform. Developers have the flexibility to create bespoke Splunk applications or incorporate Splunk data into existing applications. Furthermore, applications developed by Splunk, our collaborators, and the community enhance and expand the functionalities of the Splunk platform, making it a versatile tool for organizations of all sizes. This adaptability ensures that users can extract maximum value from their data in a rapidly changing business landscape.

Introducing Cloud Cost Pro, a premier solution for optimizing cloud expenditures and managing FinOps effectively. With Cloud Cost Pro, you obtain a comprehensive perspective of your multi-cloud landscape, enriched with practical insights, machine learning-driven suggestions, and automated processes to enhance your cloud operations. Propel improvements throughout your organization, refine your budgeting strategies, and uphold compliance with best practices for security and resilience. The tool automates the evaluation of best practices and responds to budget discrepancies and irregularities. Benefit from machine learning-enhanced cost predictions, anomaly identification, and tailored optimization guidance. Achieve thorough, detailed visibility into your cloud assets, ensuring that every dollar spent is justified. Effortlessly monitor multi-cloud expenses across various teams and departments, receiving nearly real-time insights to fine-tune cloud costs. With the capability for machine learning-driven anomaly detection, you can promptly deactivate any unapproved, expensive resources before costs escalate significantly. This proactive approach not only safeguards your budget but also fosters a culture of financial accountability within your organization.

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.

Functions independently to manage regular alerts and actions, thereby minimizing escalations and mitigating burnout. It intelligently modifies thresholds and dashboards to proactively avert incidents and updates runbooks with each new occurrence. This efficiency can save on-call engineers as much as 20 hours weekly, allowing them to focus on development tasks. It manages all alerts, conducts root cause analysis, resolves incidents, and ensures that the on-call experience is stress-free. By automating root cause analysis and incident response, it can reduce Mean Time to Resolution (MTTR) by up to 80%. With comprehensive incident summaries and hypotheses accessible prior to logging in, users will enjoy quicker response times and significantly enhanced uptime. Getting started is quick and easy with production-ready AI that is secure and adept in utilizing all necessary production tools just like a seasoned software engineer. Additionally, it automatically maps your production environment, comprehends code, and tracks modifications seamlessly without requiring any prior training. This innovative approach not only streamlines operations but also enhances overall productivity and efficiency within the team.

Anodot uses AI to deliver autonomous analytics at enterprise scale across all data types and in real-time. We provide business analysts with the ability to control their business, without the limitations of traditional Business Intelligence. Our self-service AI platform runs continuously to eliminate blind spots and alert incidents, and investigate root cause. Our platform uses machine learning algorithms that are patent-pending to identify issues and correlate them across multiple parameters. This eliminates business insight latency and supports quick, smart business decision-making. Anodot serves over 100 customers in the digital transformation industry, including eCommerce, FinTech and AdTech, Telco and Gaming. This includes Microsoft, Lyft and Waze. Anodot was founded in 2014 in Silicon Valley and Israel. There are also sales offices around the world.

Azure Time Series Insights Gen2 is a comprehensive and adaptable IoT analytics platform that provides exceptional user experiences alongside robust APIs, enabling seamless integration of its advanced features into your current applications or workflows. This service allows for the collection, processing, storage, querying, and visualization of data tailored for the vast scale of the Internet of Things (IoT), focusing on highly contextualized data specifically optimized for time series analysis. Designed for both ad hoc exploration and operational analytics, it empowers users to discover hidden patterns, identify anomalies, and perform root-cause analyses effectively. As a versatile and open solution, it caters to the diverse requirements of industrial IoT implementations while ensuring scalability and ease of use. Furthermore, its capabilities can significantly enhance decision-making processes and operational efficiencies in various sectors.

You can quickly and easily examine machine data to identify the root cause of IT problems faster. Log aggregation, filtering, filtering, alerting, and tagging are all part of this intuitive and powerfully designed system. Integrated with Orion Platform products, it allows for a single view of IT infrastructure monitoring logs. Because we have experience as network and system engineers, we can help you solve your problems. Log data is generated by your infrastructure to provide performance insight. Log Analyzer log monitoring tools allow you to collect, consolidate, analyze, and combine thousands of Windows, syslog, traps and VMware events. This will enable you to do root-cause analysis. Basic matching is used to perform searches. You can perform searches using multiple search criteria. Filter your results to narrow down the results. Log monitoring software allows you to save, schedule, export, and export search results.

Aurea Monitor provides essential tools for system monitoring, root-cause analysis, and issue detection, enabling your business to operate efficiently in real time. With real-time monitoring, you can identify and resolve system problems before they affect your customers, minimizing downtime. Timely identification and resolution of application issues are critical to maintaining customer satisfaction and loyalty. Aurea Monitor enhances your capability to quickly spot potential weaknesses and shortcomings in system performance, allowing for prompt corrections that elevate the customer experience. It automatically identifies and maps all systems within your infrastructure that are part of a business process, granting you comprehensive visibility as changes occur over time. Aim for 100% uptime as Aurea Monitor consistently oversees and tracks all operational processes, providing proactive issue identification and alerts to help you address and resolve problems with increased speed. By utilizing this solution, businesses can ensure a more reliable and seamless experience for their customers.

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

Compliance Manager is a SaaS platform designed to facilitate the oversight of various operational elements: Documents - Users can add, update, archive, and manage their Policies, Procedures, Forms, and Templates efficiently. Projects - The application streamlines project management and documentation, enabling team members to collaboratively share essential project details. Tasks - It allows for effective management of tasks, audits, nonconformities, corrective and preventive actions, complaints, and incidents. Alerts - The system includes email alert management to ensure timely completion of corrective and preventive actions. Incidents - Users can effectively manage incidents, conduct investigations, implement resolutions, and perform root cause analysis. Training - It offers tools for overseeing employee records, tracking training logs, and conducting appraisals. Suppliers - The platform assists in managing supplier records and evaluating their performance. Reports - Users can generate comprehensive reports on Audit Results, Root Cause Analysis, Training, and Supplier Performance, thus enhancing overall operational efficiency. With its robust features, Compliance Manager ultimately supports organizations in maintaining compliance and improving their overall performance.

Instant access to systems containing representative performance data is crucial. Establish and monitor weekly, monthly, and quarterly goals for representatives proactively. Automatic identification of the root causes of performance challenges or successes is essential. Designed for fast-paced managers who require quick answers rather than becoming overwhelmed by excessive dashboards, Atrium ensures that surprises from representative issues are minimized before they escalate. With the insights provided by Atrium, managers can anticipate potential challenges and address them proactively, allowing for more effective coaching and resolution instead of merely searching for problems. This platform enables timely detection and alerts for managers, operational staff, and leaders, ensuring that issues are identified early on to prevent them from developing into significant complications. Unlike complex business intelligence tools that cater to data analysts, Atrium is tailored for Sales Development Representatives, Account Executives, Account Managers, and Customer Success Managers, as well as the leaders and operational personnel who support them in their endeavors. By streamlining these processes, managers can focus on what truly matters—developing their teams and achieving outstanding results.

Integrating observability with automated orchestration enables the development of self-managed and resilient applications on a large scale. Every moment, vast amounts of data pour in from observability and monitoring systems, collecting metrics, logs, and traces from all elements of intricate and changing applications. However, the challenge remains for humans to interpret and troubleshoot this information. They find themselves in a continuous loop of addressing alerts, pinpointing root issues, and deciding on effective remediation strategies. This traditional approach has not fundamentally evolved over the decades, remaining labor-intensive, reactive, and expensive. Causely transforms this scenario by eliminating the need for human intervention in troubleshooting, as it captures causality within software, effectively bridging the divide between observability and actionable insights. For the first time, the entire process of detecting, analyzing root causes, and resolving application defects is entirely automated. With Causely, issues are detected and addressed in real-time, ensuring that applications can scale while maintaining optimal performance. Ultimately, this innovative approach not only enhances efficiency but also redefines how software reliability is achieved in modern environments.

Transform your IT landscape with comprehensive 360° visibility across your entire environment. VirtualMetric offers a fully agentless solution that is straightforward to implement, user-friendly, and easily scalable. This all-in-one infrastructure monitoring platform guarantees the health and stability of your IT systems. With features like 360° observability, intelligent alerts, predictive analytics, and AI capabilities, managing your infrastructure becomes a hassle-free experience. VirtualMetric serves as a complete monitoring and reporting solution for both bare metal servers and virtual environments. This integrated suite meets all your IT monitoring requirements, ensuring thorough oversight of your entire stack. Experience rapid root-cause analysis for any infrastructure challenges, leading to enhanced performance and overall system health. The centralized management dashboard is not only user-friendly but also designed to save you valuable time and reduce costs. Additionally, VirtualMetric's real-time performance counters give you complete transparency into your servers, virtual machines, and overall inventory, enhancing decision-making and operational efficiency.

Supervizor's continuous quality assurance, featuring unmatched anomaly detection, is designed to eliminate errors in accounting and mitigate fraud risks. Our goal is to empower companies to generate trustworthy financial information. With distinctive anomaly detection features, Supervizor enables organizations to pinpoint various types of mistakes, including those related to accounting, as well as potential fraud attempts. As errors are systematically created by processes and personnel, companies are increasingly facing sophisticated fraud schemes. By connecting your ERP system, Supervizor can aggregate journal entries utilizing a comprehensive library filled with millions of accounting patterns. You can run ready-to-use checks continuously across diverse areas, fostering collaboration among teams to ensure the quality of financial data across different subsidiaries, systems, departments, and regions. The platform also automates the extraction and preparation of your data, saving you from the tedious tasks of manual gathering, scrubbing, and formatting. Additionally, it smartly identifies and ranks your most critical findings for investigation, effectively reducing the likelihood of false positives while enhancing overall accuracy. Through these capabilities, Supervizor not only enhances financial integrity but also streamlines the auditing process for organizations.

Deep Text Inspection, designed for anomaly detection and clustering, leverages advanced AI to thoroughly analyze log data while delivering timely insights and alerts. This machine learning clustering technique is capable of identifying emerging errors, distinctive risk KPIs, and additional metrics. With its robust pattern recognition and discovery capabilities, it monitors anomalies in data, risk, and content effectively. It seamlessly integrates with platforms like Logstash and ELK, and the AiOpsX system can be deployed in mere minutes, enhancing existing monitoring and log analysis tools with millions of intelligent observations. This technology addresses a wide array of concerns including security, performance, audits, errors, trends, and anomalies. Employing unique algorithms, it proficiently identifies patterns and assesses risk levels. Furthermore, the AiOpsX monitoring engine continuously evaluates risk levels and performance data to spot outliers, while also detecting new types of messages, fluctuations in log volume, and spikes in risk levels, subsequently triggering comprehensive reports and alerts for IT monitoring teams and application owners, ensuring they remain ahead of potential issues. This multifaceted approach to anomaly detection not only streamlines operational efficiency but also reinforces overall system resilience.

Detecting anomalies in time series data is critical for the daily functions of numerous organizations. The Timeseries Insights API Preview enables you to extract real-time insights from your time-series datasets effectively. It provides comprehensive information necessary for interpreting your API query results, including details on anomaly occurrences, projected value ranges, and segments of analyzed events. This capability allows for the real-time streaming of data, facilitating the identification of anomalies as they occur. With over 15 years of innovation in security through widely-used consumer applications like Gmail and Search, Google Cloud offers a robust end-to-end infrastructure and a layered security approach. The Timeseries Insights API is seamlessly integrated with other Google Cloud Storage services, ensuring a uniform access method across various storage solutions. You can analyze trends and anomalies across multiple event dimensions and manage datasets that encompass tens of billions of events. Additionally, the system is capable of executing thousands of queries every second, making it a powerful tool for real-time data analysis and decision-making. Such capabilities are invaluable for businesses aiming to enhance their operational efficiency and responsiveness.

Leverage the most extensively utilized observability platform, founded on the reliable Elastic Stack (commonly referred to as the ELK Stack), to integrate disparate data sources, providing cohesive visibility and actionable insights. To truly monitor and extract insights from your distributed systems, it is essential to consolidate all your observability data within a single framework. Eliminate data silos by merging application, infrastructure, and user information into a holistic solution that facilitates comprehensive observability and alerting. By integrating limitless telemetry data collection with search-driven problem-solving capabilities, you can achieve superior operational and business outcomes. Unify your data silos by assimilating all telemetry data, including metrics, logs, and traces, from any source into a platform that is open, extensible, and scalable. Enhance the speed of problem resolution through automatic anomaly detection that leverages machine learning and sophisticated data analytics, ensuring you stay ahead in today's fast-paced environment. This integrated approach not only streamlines processes but also empowers teams to make informed decisions swiftly.

Monitor your servers, containers, and applications, in high-resolution and in real-time. Netdata collects metrics per second and presents them in beautiful low-latency dashboards. It is designed to run on all of your physical and virtual servers, cloud deployments, Kubernetes clusters, and edge/IoT devices, to monitor your systems, containers, and applications. It scales nicely from just a single server to thousands of servers, even in complex multi/mixed/hybrid cloud environments, and given enough disk space it can keep your metrics for years. KEY FEATURES: Collects metrics from 800+ integrations Real-Time, Low-Latency, High-Resolution Unsupervised Anomaly Detection Powerful Visualization Out of box Alerts systemd Journal Logs Explorer Low Maintenance Open and Extensible Troubleshoot slowdowns and anomalies in your infrastructure with thousands of per-second metrics, meaningful visualisations, and insightful health alarms with zero configuration. Netdata is different. Real-Time data collection and visualization. Infinite scalability baked into its design. Flexible and extremely modular. Immediately available for troubleshooting, requiring zero prior knowledge and preparation.

Oversee, regulate, and automate the operations of spacecraft efficiently. Manage a variety of missions, an assortment of satellites, and different payloads through a cohesive interface. Control various satellite models within a single platform, enabling the smooth transition from older fleets to support for next-generation payloads. Utilize Quindar Mission Management to monitor spacecraft, secure communication slots, automate task assignments, and respond intelligently to incidents both on the ground and in space. Leverage cutting-edge analytics and machine learning capabilities to transform raw data into strategic insights. Accelerate decision-making processes through predictive maintenance, trend evaluation, and anomaly detection. By harnessing data-driven insights, you can advance your mission effectively. This solution is designed for seamless integration with your current systems and third-party tools. As your operational requirements change, your capabilities can adapt accordingly without being hindered by vendor limitations. Furthermore, conduct thorough analyses of flight trajectories and commands across the majority of command and control systems, ensuring comprehensive oversight and management of all spacecraft activities.

Mona is a flexible and intelligent monitoring platform for AI / ML. Data science teams leverage Mona’s powerful analytical engine to gain granular insights about the behavior of their data and models, and detect issues within specific segments of data, in order to reduce business risk and pinpoint areas that need improvements. Mona enables tracking custom metrics for any AI use case within any industry and easily integrates with existing tech stacks. In 2018, we ventured on a mission to empower data teams to make AI more impactful and reliable, and to raise the collective confidence of business and technology leaders in their ability to make the most out of AI. We have built the leading intelligent monitoring platform to provide data and AI teams with continuous insights to help them reduce risks, optimize their operations, and ultimately build more valuable AI systems. Enterprises in a variety of industries leverage Mona for NLP/NLU, speech, computer vision, and machine learning use cases. Mona was founded by experienced product leaders from Google and McKinsey&Co, is backed by top VCs, and is HQ in Atlanta, Georgia. In 2021, Mona was recognized by Gartner as a Cool Vendor in AI Operationalization and Engineering.

InfraSonar serves as a robust infrastructure monitoring solution, providing capabilities such as real-time performance tracking, anomaly detection, and optimization of operations. Its user-friendly design is tailored to adjust according to the specific requirements of an organization. With a modular architecture, users can seamlessly incorporate custom data collectors as needed. The platform features a comprehensive API, enabling integration with various BI platforms for streamlined reporting, and it supports multiple notification methods, including SMS, WhatsApp, email, and voice calls. As a versatile multi-tenant solution, InfraSonar is engineered to scale effortlessly, catering to the varied demands of Managed Service Providers (MSPs) and their clients. Equipped with a wide array of industry best practices, our platform ensures a quick and efficient onboarding experience. Additionally, recognizing that each business has its own unique needs, InfraSonar empowers users to customize conditions, views, and reports to suit their operational framework. This level of adaptability makes InfraSonar not just a monitoring tool, but a comprehensive solution for infrastructure management.

Achieve flexible resource management through the implementation of automation guided by standardized policies for data center operations. By ensuring consistent policy administration across various on-premises and cloud environments, you can enhance security, governance, and compliance. This approach guarantees business continuity, effective disaster recovery, and secure networking under a zero-trust security framework. Moreover, it transforms Day 2 operations into a proactive model that automates troubleshooting, root-cause analysis, and remediation tasks. This not only optimizes performance but also allows for single-click access to facilitate automation and centralized control. Extend your on-premises ACI networks seamlessly to remote sites, bare-metal clouds, and colocation facilities without the need for additional hardware. Cisco's Multi-Site Orchestrator plays a crucial role by offering provisioning, health monitoring, and management of Cisco ACI networking policies, among other functionalities. This comprehensive solution streamlines network connectivity, maintains uniform policy management, and simplifies operations across various multicloud settings, ultimately enhancing operational efficiency and scalability for enterprises.

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.

Crafted by pharmacy experts for the benefit of healthcare practitioners, Pharmapod stands out as the premier cloud-based software dedicated to enhancing operational efficiencies while minimizing Patient Safety Incidents (PSIs) within community pharmacies, long-term care facilities, and hospitals. As the first of its kind, this innovative platform facilitates the aggregation and exchange of patient safety data across different regions, allowing for the identification of trends and underlying factors behind medication errors, thereby equipping local healthcare professionals to enhance their practices effectively. Driven by a team of professionals, including pharmacists, Pharmapod emphasizes a collaborative approach, having evolved to also cater to the requirements of other healthcare providers, such as doctors and nurses. The Pharmapod Solution is not only smart and user-friendly but also tailored specifically to the profession, enabling pharmacists to methodically document medication-related incidents and risks while conducting thorough root-cause analyses to foster continuous improvement in patient safety standards. This comprehensive approach ensures that all healthcare professionals can contribute to a safer medication management environment.

Cornerstone data analysis software enhances the efficiency of designing experiments and exploring data while allowing users to analyze dependencies and derive actionable insights immediately and interactively, all without requiring programming skills. It facilitates an engineer-friendly approach to executing statistical tasks, freeing users from the complexities of statistical intricacies. The software enables quick detection of correlations within data, even when operating within a Big Data framework. By employing statistically optimized experimental designs, it minimizes the number of experiments needed and accelerates the overall development process. Additionally, it supports rapid identification of usable process models and root-cause analysis through exploratory and visual data examination. Structured planning, efficient data collection, and thorough result analysis further optimize the experiments conducted. Users can easily investigate the impact of noise in process variables on the corresponding responses, and the software automatically captures compact, reusable workflows for future use, making it an invaluable tool for data-driven decision-making. Ultimately, Cornerstone empowers users to streamline their data analysis and experiment processes significantly.

Smokescreen specializes in deception technology and active defense, offering a solution that envelops your network with decoys designed to ensnare hackers. By experiencing a demonstration of our product, IllusionBLACK, you will gain insights into adversarial tactics while witnessing how strategically placed decoys across your network enable precise threat detections at every juncture. The system is user-friendly and covers various environments including Perimeter, Cloud, internal networks, endpoints, and Active Directory. You can effortlessly initiate your first deception campaign using pre-configured decoys, allowing you to prioritize threat detection without the burden of extensive setup time. Any engagement with an IllusionBLACK decoy serves as a reliable signal of a potential breach, ensuring that alerts you receive are indeed significant. Moreover, our platform simplifies automated forensics and root-cause analysis, enabling you to achieve results quickly with a leaner team. With seamless integrations available for SIEMs, Firewalls, EDRs, Proxy, threat intelligence feeds, SOAR, and much more, you can enhance your cybersecurity posture efficiently. This comprehensive approach not only streamlines your defense strategy but also empowers your organization to respond effectively to emerging threats.

Revenue cycle management encompasses a wide range of elements within healthcare, resulting in varied interpretations across different groups. Fundamentally, however, it revolves around securing the necessary revenue to support a healthcare organization's mission. Altruis remains committed to this essential principle. Our revenue cycle management services lead to an increase in the number of patients treated, the introduction of new and enhanced services for those individuals, and a more dependable and comprehensive resource pool that supports strategic planning, talent retention, and investments in community health. Whether you require a short-term billing solution, assistance with lingering accounts receivable from former systems, or support in successfully appealing denied claims, Altruis is here to assist you. We address backlogged accounts receivable by undertaking thorough forensic investigations of both isolated cases and broader systemic challenges. Through our root-cause analysis, we pinpoint strategies that enable providers to achieve immediate financial improvements, ultimately enhancing overall service delivery and patient care.

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

Empower your teams to take initiative in recognizing potential risks by enhancing the incident reporting process and offering a real-time overview of safety throughout the organization. Scout enables all employees, including those who do not have user accounts, to report injuries, incidents, near misses, and safety observations from any device they choose. To facilitate this, dedicated QR codes can be placed on posters or stickers for easy access to reporting. After incidents are reported, safety leaders can work together on investigations and conduct Root Cause Analysis (RCA) activities. Scout’s innovative data exploration tools shift incident management from a reactive stance to a proactive approach. This allows safety leaders to analyze trends, identify troubling areas, and disseminate insights across various locations. Additionally, site leaders can efficiently meet OSHA Recordkeeping requirements while generating essential reports like 300, 300a, and others. Through email notifications and time-stamped event logs, Scout ensures that accountability and transparency are upheld at every level of the organization. Ultimately, this comprehensive approach fosters a culture of safety and vigilance among all team members.

Seamlessly integrates with applications without requiring any code alterations while gathering performance metrics in a non-intrusive manner. It ensures high throughput to maintain an exceptional user experience. Utilizing AI-driven threshold detection and machine learning with historical data, it effectively identifies root causes of issues. Additionally, it offers O&M data query APIs and collection standards, facilitating independent development efforts. Features such as application auto-discovery, transaction analysis, and Apdex metrics are employed to uncover issues and enhance user satisfaction. It supports popular Java frameworks, web containers, communication protocols, and databases, allowing straightforward access to applications without code modifications. Full-stack tracing monitors messages from web browsers all the way to servers and databases, providing detailed code-level operational maintenance. APM delivers not only application performance tracking but also comprehensive topology views, enabling real-time application monitoring and swift fault diagnosis. Ultimately, this creates a robust environment for optimizing application performance and user engagement.

Our cloud-native BlackBerry® Optics deliver comprehensive visibility alongside on-device threat detection and remediation for your entire organization, all within milliseconds. Our advanced EDR strategy efficiently seeks out threats while drastically reducing response time. This capability can mean the difference between a minor security incident and a far-reaching, uncontrollable breach. With AI-powered security and contextually aware threat detection rules, you can pinpoint security threats and trigger automated responses directly on devices, significantly cutting down detection and remediation times. Achieve unparalleled visibility through a unified, AI-driven security platform that offers an enterprise-wide overview of all endpoint activities, empowering your detection and response capabilities for both online and offline devices. Additionally, enhance your threat hunting and root cause analysis through an intuitive query language and the option to retain data for up to 365 days, enabling thorough investigations into security incidents. This approach not only streamlines your security processes but also fortifies your defenses against evolving threats.

Anticipate issues before they arise using the Azure AI anomaly detection service, which allows for seamless integration of time-series anomaly detection features into your applications, enabling users to swiftly pinpoint problems. The AI Anomaly Detector processes various types of time-series data and intelligently chooses the most suitable anomaly detection algorithm to provide high precision. It identifies anomalies such as spikes, drops, deviations from established patterns, and changes in trends via both univariate and multivariate APIs. You can tailor the service to identify different levels of anomalies based on your specific needs. Furthermore, you have the flexibility to deploy the anomaly detection service either in the cloud or at the intelligent edge, as required. With a robust inference engine that evaluates your time-series data, the service autonomously identifies the optimal anomaly detection algorithm to enhance accuracy for your situation. This automatic detection process reduces the need for labeled training data, allowing you to conserve time and concentrate on resolving issues as they arise, ultimately improving operational efficiency. By leveraging this powerful tool, organizations can proactively manage potential disruptions and streamline their response strategies.

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

Amazon GuardDuty is a proactive threat detection solution that consistently oversees for harmful activities and unauthorized actions to safeguard your AWS accounts, workloads, and data residing in Amazon S3. While transitioning to the cloud simplifies the gathering and organization of account and network activities, security teams often face the tedious task of continuously scrutinizing event log data for potential threats. GuardDuty offers a smart and budget-friendly solution for ongoing threat detection within AWS. By leveraging machine learning, anomaly detection, and integrated threat intelligence, the service effectively identifies and prioritizes possible threats. It processes tens of billions of events from various AWS data sources, including AWS CloudTrail event logs, Amazon VPC Flow Logs, and DNS logs. Enabling GuardDuty is a seamless process that requires just a few clicks in the AWS Management Console, eliminating the need for any software or hardware installation or upkeep. This ease of deployment allows organizations to focus more on their core operations while maintaining a robust security posture.

Intelligent Threat Detection. Faster response. Active Directory is the root cause of 98% of all security threats. Nearly all of these threats involve data compromises on enterprise data storage. Our unique combination of detailed auditing and anomaly detection, real-time alerting, real-time data discovery and classification makes it easy to quickly identify, prioritize, and investigate threats. Protect sensitive data from rogue users and compromised user accounts. Our technology allows you to detect and investigate data threats to your most sensitive data like no other vendor. Data classification and data discovery are combined with threat detection to allow you to examine all events, changes and actions with context. You have complete visibility of Active Directory, Group Policy and File Servers, Office 365. NetApp, SharePoint. Box, Dropbox, Office 365. Security threats 10x faster detected and responded to Active Directory allows you to track movements and investigate threats as soon as they arise.