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.

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 This will ensure that your alerts never go out of date.

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

Shield34 is the only web automation framework that is 100% compatible with Selenium! You can continue to use your Selenium scripts. Create new scripts with Selenium API. This solution addresses the Selenium flaky test issues using self healing, smart defenses and error recovery mechanisms. AI-based anomaly detection and root causes analysis are available to quickly analyze failed tests and determine what changed or what caused it. Eliminate Flaky Tests. Flaky tests can be a real pain! Shield34 adds defense and recovery AI algorithms to every Selenium command. This includes dynamic element locator. It eliminates false positive results and allows for self-healing, maintenance-free testing. Shield34 provides real-time root cause analysis. Using AI algorithms, Shield34 automatically pinpoints the root cause of any test failure. This reduces the time and effort required to reproduce failed tests. Get a Smarter Selenium. Integrate automatically with your

Sightline Enterprise Data Manager™ (EDM), a powerful IT monitoring solution, provides real-time visibility in today's hybrid, cloud, and virtual IT environments. Sightline uses predictive analytics, big data visualization, and machine learning to provide root cause analysis, automated forecasting, and capacity planning to assist organizations in identifying infrastructure problems.

No more data catalog ghost cities. Acryl Cloud accelerates time-to-value for data producers through Shift Left practices and an intuitive user interface for data consumers. Continuously detect data-quality incidents in real time, automate anomaly detecting to prevent breakdowns, and drive quick resolution when they occur. Acryl Cloud supports both pull-based and push-based metadata ingestion to ensure information is reliable, current, and definitive. Data should be operational. Automated Metadata Tests can be used to uncover new insights and areas for improvement. They go beyond simple visibility. Reduce confusion and speed up resolution with clear asset ownership and automatic detection. Streamlined alerts and time-based traceability are also available.

AI-powered anomaly detection for your business and root cause analysis. Avora uses machine learning to monitor your business metrics and alert you to important events so you can take action within hours instead of days or weeks. You can continuously analyze millions of records per minute for unusual behavior to uncover threats and opportunities in your company. Root cause analysis is a way to quickly and confidently identify the factors that are driving your business metrics upwards or downwards. Use our APIs to embed Avora's machine-learning capabilities and alerts in your own applications. Alerts about anomalies, trend changes, and thresholds can be sent via email, Slack or Microsoft Teams. Webhooks can also be used to send alerts to other platforms via Webhooks. You can share your insights with other team members. Invite others to track metrics and receive notifications in real time.

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.

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

Splunk makes it easy to go from data to business results faster than ever before. Splunk Enterprise makes it easy to collect, analyze, and take action on the untapped value of big data generated by technology infrastructures, security systems, and business applications. This will give you the insight to drive operational performance, and business results. You can collect and index logs and machine data from any source. Combine your machine data with data stored in relational databases, data warehouses, Hadoop and NoSQL data storages. Multi-site clustering and automatic loads balancing scale can support hundreds of terabytes per day, optimize response time and ensure continuous availability. Splunk Enterprise can be customized easily using the Splunk platform. Developers can create custom Splunk apps or integrate Splunk data in other applications. Splunk, our community and partners can create apps that enhance and extend the power and capabilities of the Splunk platform.

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.

Cloud Cost Pro is an industry-leading solution for cloud cost optimization. Cloud Cost Pro gives you a 360-degree overview of your multicloud environment. It also provides actionable insights and automated actions to streamline cloud operations. Drive improvements across the organization, improve budgeting and ensure compliance with best practices in security and resilience. Automated assessment of budget violations and anomalies. Cost forecasts, anomaly identification, and optimization recommendations are powered by ML. Get end-to-end visibility and granularity into your cloud resources, to ensure that every dollar is accounted for. Track cloud costs across teams and business units. Get near-real-time insights to optimize cloud cost. You can stop any unauthorized resource that is costing you money before it snowballs.

Reimagined observability in one place for context and performance, across all stacks at any scale. Monitor applications, infrastructure, databases and more on a single intuitive dashboard to gain comprehensive end-toend visibility. With just a few mouse clicks, you can easily track and analyze digital journeys from the browser to applications and infrastructure. Deep user analytics and real-user monitoring (RUM) can help you gain valuable insights about user journeys, identify dropouts and pinpoint critical business points. Real-time visibility, rapid root-cause analyses and quick adaptations will help you to optimize and innovate. You can reach our team of experts 24/7, 365 days per year to receive timely assistance.

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.

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.

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.

Operates autonomously, handling common alerts and actions. This reduces escalation and prevents burnout. Adjusts dashboards and thresholds dynamically to prevent incidents, and adjusts runbooks for each new incident. Saves up to twenty hours per week per on-call engineer so you can return to the building. Handles all alerts and performs root-cause analysis. Resolves incidents. Automates root-cause analysis and incident response to reduce Mean Time to Resolution by up to 80%. You'll see a significant increase in uptime and response time when you have detailed incident summaries available before you log in. Start in minutes with production ready AI that is secure and uses all production tools like a software engineer. It understands code and automatically captures changes.

Aurea Monitor provides the system monitoring, root cause analysis, and issue identification tools that you need to manage your business in real-time. Real-time monitoring allows you to identify and fix system problems before they affect your customers. It is impossible to delay in fixing application problems that impact your customers. Aurea Monitor increases your ability to identify potential pitfalls and gaps and quickly correct them. This will improve customer experience. You can automatically identify all systems in your infrastructure that are involved in a business process. This will give you complete visibility of any changes or additions. Get to 100% uptime. Aurea Monitor continuously monitors and tracks all processes. It also provides proactive issue identification and notifications, so you can respond quickly to and resolve problems.

Azure Time Series Intelligences Gen2 is an open-source, scalable IoT analytics service that can be integrated into existing workflows and applications. It can be used to collect, store, query, query, and visualize data at Internet of Things scale (IoT),-data that is highly contextualized and optimized in time series. Azure Time Series Insights Gen2 can be used for operational analysis and data exploration. It allows you to spot anomalies and uncover hidden trends. It is flexible and open to all industrial IoT deployments.

Deep Text Inspection, anomaly detection and clustering. Cutting-edge AI that scans log data and streams insights, alerts. ML clustering detects new errors, unique risk KPI, and more. Pattern recognition and discovery. Anomaly detection for data and risk monitoring. Integration with Logstash and ELK, among others. AiOpsX can be deployed quickly on any log data. It also augments existing monitoring and log analysis tools with millions smart eyes. Security, performance audit, errors & issues, trends, anomalies, security, and more! Unique algorithms detect patterns and calculate risk levels. Anomaly detection continually scans performance and risk data to find outliers. The AiOpsX monitoring engine detects new types and errors, log volume changes, risk levels spikes, and triggers alerts and reports for IT monitoring teams.

IBM® Z Operations Analytics is a tool that allows you to search, visualize, and analyze large amounts structured and unstructured data across IBM Z environments. This includes log, event, service request data, and performance metrics. Use your analytics platform and machine-learning to increase enterprise visibility, find issues in your workloads, uncover hidden problems, and perform root cause analysis quicker. Machine learning can be used to detect anomalies in operation and establish normal system behavior. You can detect emerging issues across services and be able to cognitively adapt to them. Get expert advice to improve service assurance and corrective actions. Identify unusual workload behaviors. Locate common issues hidden in operational data. Reduce the time needed for root cause analysis. IBM Z's domain expertise is your advantage. Benefit from the domain expertise of IBM Z to enhance your analytics platform.

Compliance Manager is a Software As A Service (SaaS) application that allows you to: Manage Documents - Add and update, archive, and manage your Policies and Procedures, Forms, Templates, and Forms. Projects - Manage and share your projects and documentation. Tasks - Manage tasks and audits, non conformances as well as corrective & preventive action, complaints, and incidents. Alerts - Manage e-mail alerts to speed up corrective and preventive actions. Incidents – Manage incidents, investigations and resolutions. Training - Manage employee records, training logs, and appraisals. Suppliers - Manage supplier records, performance evaluations, and other details. Reports - Create reports on Audit Results and Root Cause Analysis, Training, and Supplier Performance.

Instant connections to the systems storing rep performance data. Track and set weekly, monthly, or quarterly goals. Automatic root-cause analysis for performance issues and excellence. This tool is for busy managers who require quick answers and don't need more dashboards. It's easy to be surprised by the rep problems that are too late to fix. Atrium offers the insight to help managers see beyond the lines and fix problems before they become problems. Instead of searching for problems, spend your time coaching and fixing them. Alert leaders, managers and operations about potential problems early to prevent them from becoming major problems. Complex business intelligence and dashboarding software are best left to data analysts, not busy managers. Atrium was designed for SDR, AE and AM/CSM managers, as well as the leaders and operators who support them.

Scalable, self-managed applications that are resilient and self-managed can be achieved by combining observability and automated orchestration. Monitoring and observability tools generate huge volumes of data every second. They capture metrics, logs and traces on all aspects of dynamic, complex applications. It's up to humans to make sense of and troubleshoot all this data. They are stuck in a never-ending loop of responding to alerts and identifying root causes before deciding the best course of action. The process hasn’t changed much in decades and is still labor-intensive and reactive. Causely eliminates the need for manual troubleshooting, by capturing causality within software. This closes the gap between observability to action. For the first time ever, the entire lifecycle for detecting, root cause analysis and remediation of application defects is fully automated. Causely identifies and resolves defects in real-time so that applications can scale at high performance.

360deg observability across your entire IT environment to drive transformation VirtualMetric is an agentless solution that's easy to deploy, use, and scale. VirtualMetric is an infrastructure monitoring suite that ensures the reliability and health of your IT environment. VirtualMetric provides 360 degree observability, smart alarms and predictive analysis, as well as AI capabilities, to ensure stress-free management. VirtualMetric is a full-stack monitoring and reporting software that monitors your virtualization and bare metal servers. This all-in-one monitoring software covers your entire IT stack and monitoring requirements. Rapid root-cause analysis of infrastructure problems, improved performance, and infrastructure health. A centralized management suite that is easy to use, will save you both time and money. VirtualMetric's performance monitors are real-time and give you full visibility over your servers and virtual machines.

The most widely used observability platform, built on the ELK Stack, is the best choice. It converges silos and delivers unified visibility and actionable insight. All your observability data must be in one stack to effectively monitor and gain insight across distributed systems. Unify all data from the application, infrastructure, user, and other sources to reduce silos and improve alerting and observability. Unified solution that combines unlimited telemetry data collection with search-powered problem resolution for optimal operational and business outcomes. Converge data silos with the ingesting of all your telemetry data from any source, in an open, extensible and scalable platform. Automated anomaly detection powered with machine learning and rich data analysis can speed up problem resolution.

Supervizor's continuous Quality Assurance helps you to eliminate fraud and errors with its unparalleled anomaly detection. We are on a quest to help corporations produce accurate financial data. Supervizor offers corporations unique anomaly detection capabilities that can identify several types (including accounting errors) and fraud attempts. Organizations are faced with a growing number fraud schemes and errors that are caused by processes and people. Connect your ERP to Supervizor and let it consolidate journal entries based on our library of millions accounting patterns. Run ready-to-use tests continuously across multiple areas. Work together to ensure the quality of financial data across departments, systems, subsidiaries, and geographical areas. Automates the extraction and preparation of your data, saving you time by avoiding manual gathering, scrubbing and formatting. Identifies your most risky findings and prioritizes them for investigation, intelligently minimizing the number of false positives.

Monitor, control and automate the spacecraft's operations. {Operate multiple missions, diverse satellites, and various payloads within a unified interface.|Operate diverse satellites and payloads in multiple missions using a single interface.} Multiple satellite types can be controlled in a single interface, allowing for legacy payload migration and next-generation payload support. Quindar Mission Management allows you to track spacecraft, reserve contact information, automate tasking and intelligently respond when incidents occur on the ground or in space. Utilize advanced analytics and machine-learning to transform data into actionable intelligence. Predictive maintenance, trend analysis and anomaly detection will help you make faster decisions. Data-driven insights to propel your mission. Built to seamlessly integrate with your existing systems, and third-party apps. Your operations can evolve as your needs change, without being locked into a vendor. Analyze flight paths across all C2 systems.

Many companies need to be able to detect anomalies in their time series data. Timeseries Insights API Preview allows you to gain insights from your time-series data in real-time. You will find all the information you need to understand your API query result, including anomaly events, forecasted ranges of values and slices of events. Stream data in real time, allowing you to detect anomalies as they occur. Google Cloud's comprehensive infrastructure and defense-in depth approach to security has been innovating for more than 15 years. Timeseries Insights API, at its core, is fully integrated with other Google Cloud Storage service, giving you consistent access across storage products. You can detect trends and anomalies across multiple event dimensions. Handle large datasets containing tens to billions of events. Execute thousands of queries per second.

InfraSonar, an infrastructure monitoring solution, offers real-time performance tracking, anomaly detection and operations optimization. It is easy to use, and can be adapted to the unique needs of an organization. Its modular design allows for easy addition of custom data collection tools. InfraSonar has an extensive API that allows for integration with BI platforms to report on data. It also supports different notification methods such as SMS, WhatsApp, emails, and voice calls. InfraSonar, a multi-tenant solution, is designed to scale easily to meet the needs of any Managed Service Provider or customer. Our platform provides a comprehensive set of industry-best practices to help you get started quickly and efficiently. InfraSonar is flexible enough to allow you to define your own conditions and views.

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.

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.

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.

Cornerstone data analysis software makes it easy to create experiments, explore data, analyze dependencies, find answers, and take action. It can also be used to quickly, interactively, without programming. Engineer-oriented execution of statistics tasks, without having to worry about statistics details. Even when working with Big Data infrastructure, it is easy and quick to detect correlations in the data. Statistically optimized experiment plans can reduce the number of experiments and speed up overall development. Exploratory and visual data analysis allows for rapid identification of a useful process model and root cause analysis. Using structured planning, data collection and analysis, optimize your experiments. It is easy to determine how noise affects process responses. Automated capture of compact, reusable workflows.

Automated resource management can help you achieve greater resource flexibility. For security, governance, compliance, and compliance, ensure consistent policy management across multiple cloud and on-premise instances. A zero-trust security model ensures business continuity, disaster recovery, high-security networking, and secure networking. Transform Day 2 operations into a proactive model that automates troubleshooting, root cause analysis, and remediation. It optimizes performance and allows for single-click access to facilitate automation and central management. On-premises ACI networks can be extended to remote locations, bare metal clouds, and colocation providers that don't require hardware. Cisco's Multi-Site Orchestrator provides provisioning and health monitoring and manages Cisco ACI network policies. This solution automates network connectivity, provides consistent policy management and simplifies operations for multicloud environments.

Smokescreen, a deception technology and active defense company, provides a solution that covers your network with decoys that trap hackers. You'll learn how adversaries work and how decoys are placed all over your network to provide high-fidelity detections at every stage. It's simple to use and understand. We have you covered on the Perimeter and Cloud, internal network, endpoints and Active Directory. Launch your first deception campaign using ready-made decoys. Instead of wasting time configuring a new solution, focus on detecting threats and not on wasting man-hours. An interaction with an IllusionBLACK device is a sign of a breach. You know it's real when you receive an alert. Automated forensics and root cause analysis in just two clicks You can accomplish more with half the team in half the time. Integrations out-of-the box with SIEMs and Firewalls, EDRs. Proxy, threat feeds, SOAR and more.

Pharmapod is the most trusted cloud-based software to reduce Patient Safety Incidents (PSIs), in long-term care facilities, community pharmacies and hospitals. Our platform was built by pharmacist professionals for healthcare professionals. It is the first platform to share patient safety data across borders. This allows healthcare professionals to monitor trends and identify causes of medication errors and empower them to improve their practices locally. Pharmapod is a professional-led solution. It was developed by pharmacists and has been adapted to meet the needs of other healthcare professionals like doctors and nurses. The Pharmapod Solution allows pharmacists to record medication-related incidents and risk in practice and conduct effective root-cause analysis. It is intuitive, intuitive, and profession-specific.

Your teams can be empowered to identify areas of risk and streamline incident reporting, providing a real-time picture about safety throughout the enterprise. Scout allows workers to report injuries, incidents and near misses from any device. To make reporting easier, QR codes can be printed on stickers or posters. Safety leaders can share captured data to assist with investigations and Root Cause Analysis activities (RCA). Scout's data exploration tools make it possible to transform incident management from reactive to proactive. Safety leaders can identify areas of concern and analyze trends. They can also share insights with other locations. Site leaders can easily meet OSHA Recordkeeping requirements, generate 300a, 300a, or other reports. Scout allows for transparency and accountability at all levels of an organization by using email alerts and time-stamped logs.

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

Azure AI anomaly detection can help you predict problems before they happen. You can easily embed time-series abnormality detection capabilities into apps to help users quickly identify problems. AI Anomaly Detector ingests all types of time-series data and selects the most accurate anomaly detection algorithm to ensure high accuracy. Detect spikes, dips and deviations from cyclic patterns through univariate or multivariate APIs. You can customize the service to detect anomalies of any level. You can deploy the anomaly detection service in the cloud, or at the intelligent edge. A powerful inference algorithm assesses your data and selects the best anomaly detection algorithm for your scenario. Automatic detection eliminates the requirement for labeled data, allowing you to save time and focus on fixing problems as they arise.

Komodor simplifies K8s troubleshooting and gives you all the tools you need to solve the problem with confidence. Komodor monitors all of your k8s stack and identifies problems. It then uncovers the root cause and provides you with the context you need. Komodor can automatically identify k8s problems, such as failed deployments, misconfigurations and bottlenecks. Identify emerging problems before they spread and affect end-users. Pre-made playbooks can be used to simplify root cause analysis, avoid disruptive escalations, and save valuable time. Give your teams clear instructions for troubleshooting that will turn every responder into an expert.

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.

Our cloud-native BlackBerry®, Optics provide visibility, threat detection and remediation across the organization. In milliseconds. Our EDR approach efficiently and effectively hunts threats, while eliminating latency in response. It is the difference between a minor security incident and one that is widespread and uncontrolled. AI-driven security and context driven threat detection rules make it easy to identify security threats and trigger automated response on-device. This will reduce the time required for detection and remediation. Get visibility with AI-driven security that is consolidated and enterprise-wide. This enables detection and response capabilities for both online and offline devices. With intuitive query language and data retention options of up to 365 days, you can enable threat hunting and root cause analysis.

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.

You can identify and solve pay inequalities across gender, race, and ethnicity in minutes, and not months. Learn from our labor economists, lawyers, and data scientists. They can provide as much or as little support as you require. Don't fix just pay problems. You can prevent them by proactive planning, root cause analysis and real-time fair compensation insights that guide every pay decision. You have access to our exceptional team of data scientists, technology specialists, and lawyers who specialize in fair-pay practices from day one. Syndio is committed to your success and will work with you to achieve workplace equity. Together, you will establish baseline goals and a strategy for continuous monitoring and improvement. We will ensure that your company's customized data, communication plan, as well as commitment to pay equity, are all in place.

Service assurance is a key goal for digital-first businesses. It has become the lifeblood of their business applications. These applications are becoming more complex due to the advent of 5G, edge, and containerized cloud-native infrastructures. RDAF consolidates disparate data sources and converges on the root cause using dynamic AI/ML pipelines. Then, intelligent automation is used to remediate. Data-driven companies should evaluate, assess, and implement RDAF to speed innovation, reduce time to value, meet SLAs, and provide exceptional customer experiences.

Amazon GuardDuty, a threat detection service, continuously monitors for malicious behavior and unauthorized behavior to protect AWS accounts, workloads and data stored in Amazon S3. Although the cloud makes it easier to collect and aggregate account and network activity, it can be difficult for security teams and staff to analyze log data for potential threats. GuardDuty is an intelligent and cost-effective solution for continuous threat detection in AWS. GuardDuty uses machine learning, anomaly detection and integrated threat intelligence to identify potential threats and prioritize them. GuardDuty analyses tens to billions of events from multiple AWS data sources such as AWS CloudTrail logs, Amazon VPC flow logs, and DNS logs. GuardDuty is easy to enable and maintain with just a few clicks from the AWS Management console.