Best Application Performance Monitoring (APM) Software for Freelancers - Page 9

nGeniusONE is NETSCOUT’s enterprise-grade observability platform built to monitor today’s distributed and hybrid IT environments. It delivers continuous, real-time visibility into network and application performance across on-premises, cloud, and remote locations. Using Smart Data from InfiniStreamNG and vSTREAM appliances, the solution provides actionable analytics for faster troubleshooting. IT teams gain contextual insights into application behavior, service dependencies, and traffic flows. nGeniusONE helps ensure consistent digital user experiences for employees and customers alike. The platform supports proactive performance management during infrastructure changes and migrations. Scalable deployment options allow organizations to adapt observability as business needs evolve. Flexible hardware, software, and virtual appliance models simplify implementation. Real-time dashboards and diagnostics reduce operational complexity. nGeniusONE enables IT teams to move from reactive issue response to predictive performance management.

This portal focuses on Operations and Support for Microsoft Azure Serverless resources. A complement to Azure portal for supporting Azure Serverless Application. Service Bus Explorer does not support automated message processing. Detect failure, autocorrect status, correlate run resubmission, and address Azure portals gaps. Application insights allows you to detect anomalies and correct them. Event Grid subscriptions allow you to view and process dead-letters, as well as extensive monitoring. Simulate test environment, monitor partitions and check for active clients. Auto-clean blobs. Monitor storage account components to check their state and properties. Monitor products, endpoints, and operations from multiple perspectives. Automate managing APIM state. Monitor and manage Azure Relays, including Hybrid relays, with analytics. Monitor the health and performance of Azure Web Apps, including HTTP errors, CPU time, garbage collection, and CPU time.

Deep Text Inspection encompasses anomaly detection and clustering, utilizing advanced AI to analyze all log data while providing real-time insights and alerts. With machine learning clustering, it identifies emerging errors and unique risk KPIs, among other metrics, through effective pattern recognition and discovery techniques. This solution offers robust anomaly detection for data risk and content monitoring, seamlessly integrating with platforms like Logstash, ELK, and more. Deployable in mere minutes, AiOpsX enhances existing monitoring and log analysis tools by employing millions of intelligent observations. It addresses various concerns including security, performance, audits, errors, trends, and anomalies. Utilizing distinctive algorithms, the system uncovers patterns and evaluates risk levels, ensuring continuous monitoring of risk and performance data to pinpoint outliers. The AiOpsX engine adeptly recognizes new message types, shifts in log volume, and spikes in risk levels while generating timely reports and alerts for IT monitoring teams and application owners, ensuring they remain informed and proactive in managing system integrity. Furthermore, this comprehensive approach enables organizations to maintain a high level of operational efficiency and responsiveness to emerging threats.