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

Monitoring the performance of transactions in .NET applications is essential, especially for organizations that rely on SharePoint, as they depend on the speed and reliability of .NET to support their mission-critical tasks. With Precise for .NET, users benefit from low-impact monitoring capabilities and an intuitive interface that allows for detailed analysis of transaction performance throughout the .NET infrastructure, which includes components like Internet Information Services (IIS) and SQL Server. By integrating Precise for .NET, one can also oversee the entire technology stack of other prevalent application technologies, such as web platforms and Java-based systems. The focus on in-depth tracking of transactions extends into databases, providing insights that are crucial for optimizing performance. In scenarios where altering the application transaction text is not feasible, tuning database objects becomes vital, allowing for improvement by evaluating the performance of the currently active objects. This comprehensive monitoring approach empowers organizations to maintain operational efficiency and enhance their application performance effectively.

Combat sophisticated threats using a stealthy defense approach. ExtraHop addresses blind spots and identifies dangers that other solutions overlook. It provides the insight necessary to comprehend your hybrid attack surface thoroughly. Our top-tier network detection and response platform is specifically designed to help you navigate the clutter of alerts, disparate systems, and excessive technology, empowering you to safeguard your cloud-based future effectively. By leveraging this comprehensive solution, you can enhance your security posture and confidently tackle emerging challenges.

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.

nGeniusONE provides immediate insights and evaluations that enhance network, application, and unified communication settings. It guarantees the optimal functioning of cloud-based, virtual, colocation, and physical data center infrastructures that support contemporary government, healthcare, and commercial operations. Additionally, nGeniusONE ensures an exceptional experience for remote users by assessing the capacity and performance of VPN, VDI, unified communication, and healthcare service delivery systems. Through its comprehensive monitoring capabilities, organizations can achieve higher operational efficiency and improved service quality.

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.