Search Results for "multi-system"

All the greatest observability formats and integrations you love, at once - LGTM Drop-in compatible. Let's get Polyglot. qryn independently implements popular observability standards, protocols and query languages. Make sure you have sufficient memory and disk resources allocated for your node service and clickhouse server when dealing with large amounts of data and fingerprints. We suggest 8GB RAM or higher for most setups with 100k-1M fingerprints. Observe your daily and weekly data...

dd-trace is an npm package that you can install in your Node.js application to capture APM (Application Performance Monitoring) data. In Datadog terminology this library is called a Tracer. This data is then sent off to a process that collects and aggregates the data, called an Agent. Finally, the data is sent off to the Datadog servers where it's stored and made available for querying in a myriad of ways, such as displaying in a dashboard or triggering alerts.

This is the official Node.js application performance monitoring (APM) agent for the Elastic Observability solution. It is a Node.js package that runs with your Node.js application to automatically capture errors, tracing data, and performance metrics. APM data is sent to your Elastic Observability deployment -- hosted in Elastic's cloud or in your own on-premises deployment -- where you can monitor your application, create alerts, and quick identify root causes of service issues. First, you...

...Distributed tracing observability platforms, such as Jaeger, are essential for modern software applications that are architected as microservices. Jaeger maps the flow of requests and data as they traverse a distributed system. These requests may make calls to multiple services, which may introduce their own delays or errors. Jaeger connects the dots between these disparate components, helping to identify performance bottlenecks, troubleshoot errors, and improve overall application reliability. Jaeger is 100% open source, cloud native, and infinitely scalable.

...It combines real-time client-side monitoring with customizable event tracking, allowing teams to collect both technical performance metrics and business interaction data from web applications. The system provides dashboards for error analysis, page performance, API latency, and user behavior, enabling comprehensive visibility into frontend health. Its architecture is intentionally simple to deploy, requiring only a few setup steps to run a fully self-hosted monitoring stack. In addition to performance insights, the platform includes flexible data visualization and funnel analysis tools that support product and operations teams. ...

Giropops Monitoring is an open-source observability stack for infrastructure monitoring, combining Prometheus, Grafana, and Loki.

Hyperic is application monitoring and performance management for virtual, physical, and cloud infrastructures. Auto-discover resources of 75+ technologies, including vSphere, and collect availability, performance, utilization, and throughput metrics.

Open MPI application monitoring (and steering) from a web-interface and a mobile device.

Harpia is a tool for monitoring applications in a agentless way. It's able to monitor several resources: servers, DBMS, web servers, email servers, web sites and others. Moreover, is capable for sending alerts, generate reports and manage SLAs.