The best Uptrace alternatives
The rest of Best Application Performance Monitoring, in this site's order: each with what it costs, where it runs and its record score.
This service suits software engineers who need to detect application anomalies, investigate causes, and fix problems.
Middleware suits teams seeking observability across infrastructure, applications, and real-user activity.
SigNoz suits teams monitoring application and infrastructure telemetry across logs, metrics, traces and exceptions.
groundcover suits teams monitoring production environments that want telemetry collection through an eBPF sensor and a choice of cloud-managed or…
Honeycomb may suit individuals testing observability or teams debugging production applications with telemetry.
It suits customer-centric teams looking to identify and prioritize performance improvements that affect end-user experience.
RoRvsWild suits Rails teams that need visibility into requests, background jobs, errors, deployments, and server resources.
Dynatrace Application Monitoring suits teams seeking visibility into application performance, dependencies, transactions, and user experience.
Scout suits engineering teams monitoring applications built with its listed language agents.
It suits developers and teams maintaining Ruby or Rails applications and background jobs.
Application Insights suits teams that need to monitor application telemetry across supported workloads, including apps hosted outside Azure.
AppSignal suits developers monitoring application errors, performance, logs, and traces across its supported languages.
Chronosphere may suit teams responsible for cloud-native applications and microservices who need service views, trace analysis, and correlated…
Jaeger suits engineering teams troubleshooting distributed systems with trace data, dependency views, performance metrics, and configurable sampling.
Keymetrics suits teams monitoring Node.js applications and server infrastructure through PM2.
SkyWalking suits teams that need observability across cloud-native infrastructure, services, or AI workloads and can manage a self-hosted deployment.
It suits IT operations, architects, SREs, SMEs, DevOps personnel, and developers.