Find out what your peers are saying about Datadog, Dynatrace, Splunk and others in Application Performance Monitoring (APM) and Observability.
Real-time log management and analysis
Cloud Logging is a fully managed service that performs at scale and can ingest application and platform log data, as well as custom log data from GKE environments, VMs, and other services inside and outside of Google Cloud. Get advanced performance, troubleshooting, security, and business insights with Log Analytics, integrating the power of BigQuery into Cloud Logging.
Built-in metrics observability at scale
Cloud Monitoring provides visibility into the performance, uptime, and overall health of cloud-powered applications. Collect metrics, events, and metadata from Google Cloud services, hosted uptime probes, application instrumentation, and a variety of common application components. Visualize this data on charts and dashboards and create alerts so you are notified when metrics are outside of expected ranges.
Stand-alone managed service for running and scaling Prometheus
Managed Service for Prometheus is a fully managed Prometheus-compatible monitoring solution, built on top of the same globally scalable data store as Cloud Monitoring. Keep your existing visualization, analysis, and alerting services, as this data can be queried with PromQL or Cloud Monitoring.
Monitor and improve your application's performance
Application Performance Management (APM) combines the monitoring and troubleshooting capabilities of Cloud Logging and Cloud Monitoring with Cloud Trace and Cloud Profiler to help you reduce latency and cost so you can run more efficient applications.
JenniferSoft Application Performance Management (APM) is a system management methodology that focuses on monitoring and managing application software performance and service utilization. Also, it is a tool that helps system availability and stable operation by monitoring and analyzing performance of operating systems. JENNIFER provides comprehensive and integrated performance monitoring through its many dashboard views, which include Real-user Monitoring and Real-time Topology. JENNIFER analyzes statistical data regarding system resources, application performance and errors with a view to achieving continuous and optimal service availability. JENNIFER's continuous monitoring helps with rapid detection and troubleshooting of performance problems. That can help prevent the problems from affecting service availability later. And minimizing system downtime and improving overall performance at the application and system levels greatly improves customer satisfaction.
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