IBM App Discovery Delivery Intelligence

Deep Text Inspection, anomaly detection, clustering. Cutting edge AI that scans all log data and streams insights and alerts. ML clustering that detects new errors, unique risk KPI and more. Pattern recognition and discovery. Anomaly detection for data, risk and content monitoring. Integration with Logstash, ELK and others. AiOpsX deployed in minutes on any log data and augmentד existing monitoring and log analysis tools with millions of smart eyes. Security, performance, audit, errors & problems, trends, anomalies, and much more! Unique algorithms identify patterns and compute risk levels. Anomaly detection continuously scans risk level and performance data to identify outliers. The AiOpsX monitoring engine identifies new types of messages, errors, log volume changes, risk level spikes; and triggers reports and alerts for IT monitoring teams and app owners.

AiMS is an instant messeger service for MSN, that could also be used in the future for more protocols. It's written in Pascal using Delphi (and Kylix) ------- AiMS es un programa de mensajería para MSN, que en el futuro usará más protocolos. Está es

AlertSite is the 'Early Warning System' you can trust to monitor your websites, web apps, and APIs from all over the world and within your private networks. You shouldn't be burdened by the fear and the consequence of whether an alert is real or false. AlertSite monitors your UI and API layer for availability, performance, and functionality without the alert fatigue of other monitoring tools. Creating Web and API monitors in AlertSite is intuitive and effortless. Codelessly add new web monitors with DejaClick, our point-and-click web recorder, and API Monitors in just a few clicks using an API Endpoint URL or OpenAPI Specification file. Or, reuse test cases like Selenium Scripts or SoapUI tests to create new monitors. Don't let false alerts and erroneous data cloud your visibility into application health.

Tracing Analysis provides a wide range of tools to help developers identify performance bottlenecks of distributed applications. This helps developers improve the efficiency of developing and troubleshooting applications that use the microservices architecture. The provided tools can be used to map traces, offer trace topologies, analyze application dependencies, and calculate the number of requests. To use Tracing Analysis, you must activate Log Service. You do not need to pay for the Log Service resources that are consumed to offer the Tracing Analysis service. Simplifies the troubleshooting of distributed applications. You no longer need to log on to individual machines to obtain logs for troubleshooting. Allows you to use open source SDKs to specify tracking points, such as SDKs for Zipkin, Jeager, and OpenTracing. Tracing Analysis provides the pay-as-you-go billing method.