Open-source Java Application Performance Management (APM) software with very low overhead — instrument a JVM with a single flag and get deep visibility into slow requests and errors.
Microservices Monitoring Tools
13 link-verified platforms for tracing, metrics, logs, and synthetic checks across distributed, containerized systems — from open-source stalwarts to enterprise observability suites.
Aggregates events from servers and applications with a powerful stream-processing language, built for teams that want programmable, low-latency alerting instead of static polling loops.
Open-source monitoring system with a dimensional data model, PromQL query language, and an efficient time-series database — the de facto metrics standard for Kubernetes and cloud-native stacks.
Elasticsearch, Kibana, Beats, and Logstash combine to reliably collect data from any source and search, analyze, and visualize it in real time.
AWS's native observability service, unifying metrics, logs, traces, and AI-assisted anomaly detection across your AWS resources and applications.
Cloud-scale monitoring and security platform combining infrastructure metrics, APM, log management, and synthetic monitoring in a single dashboard.
Automatically detects changes to application, infrastructure, and user experience health, correlating signals for faster root-cause analysis.
Centralized log management and SIEM platform built for lean teams, correlating security, application, and IT infrastructure signals into one searchable pipeline.
Full-stack observability linked to business performance — build, monitor, and scale containerized microservices architectures with deep transaction tracing.
Simplifies microservices monitoring from instrumentation to visualization, with deep Kubernetes and container-runtime context built in.
The "Early Warning System" for digital performance — synthetic monitoring of websites, web apps, and APIs from 350+ global network nodes.
The observability pipeline that delivers monitoring as code on any cloud, consolidating checks, metrics, and events from tools like Nagios, StatsD, and Prometheus.
Enterprise-ready time-series database and graphing engine that stores and renders numeric metrics at scale, from cheap commodity hardware to cloud infrastructure.