Hypertrace vs Metricbeat
Overview
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CLI (Node.js)
Manual
Detailed Comparison
Collect metrics from your systems and services. From CPU to memory, Redis to NGINX, and much more, It is a lightweight way to send system and service statistics. | It is a cloud-native distributed tracing based Observability platform that gives visibility into your dev and production distributed systems. Hypertrace converts distributed trace data into relevant insight for everyone. Infrastructure teams can identify which services are causing overload. Service teams can diagnose why a specific user's request failed, or which applications put their service objectives at risk. Deployment teams can know if a new version is causing a problem. |
System-Level Monitoring; system-level CPU usage statistics; Network IO statistics | Perform Root cause analysis(RCA) whenever something breaks in your system;
Watch roll-outs and compare key metrics;
Determine performance bottlenecks and identify slow operations like slow API calls or DB queries;
Monitor microservice dependencies and Observe your applications |
Statistics | |
GitHub Stars - | GitHub Stars 521 |
GitHub Forks - | GitHub Forks 31 |
Stacks 48 | Stacks 2 |
Followers 125 | Followers 6 |
Votes 3 | Votes 0 |
Pros & Cons | |
Pros
| No community feedback yet |
Integrations | |
What are some alternatives to Metricbeat, Hypertrace?
Grafana
Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.
Kibana
Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.
Prometheus
Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.
Nagios
Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.
Netdata
Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps
Zabbix
Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.
Sensu
Sensu is the future-proof solution for multi-cloud monitoring at scale. The Sensu monitoring event pipeline empowers businesses to automate their monitoring workflows and gain deep visibility into their multi-cloud environments.
Graphite
Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand
Lumigo
Lumigo is an observability platform built for developers, unifying distributed tracing with payload data, log management, and real-time metrics to help you deeply understand and troubleshoot your systems.
StatsD
It is a network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP or TCP and sends aggregates to one or more pluggable backend services (e.g., Graphite).
