Grafana vs Kibana vs NGINX Amplify
Overview
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CLI (Node.js)
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Detailed Comparison
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. | 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. | NGINX Amplify is a SaaS monitoring tool for NGINX. Amplify offers an easy way to implement NGINX monitoring, keep track of the infrastructure, and improve NGINX configuration by using static analyzer. |
Flexible analytics and visualization platform;Real-time summary and charting of streaming data;Intuitive interface for a variety of users;Instant sharing and embedding of dashboards | Create, edit, save & search dashboards;Change column spans and row heights;Drag and drop panels to rearrange;Use InfluxDB or Elasticsearch as dashboard storage;Import & export dashboard (json file);Import dashboard from Graphite;Templating | NGINX monitoring made easy — start in 3 simple steps, in under 5 minutes; Metrics for NGINX, PHP-FPM, MySQL, Linux, and Docker; Extended NGINX metric collector; See NGINX connections, requests, HTTP status, response time, traffic, etc.; Build your own graphs to see metrics per virtual host, HTTP status, and URI; SLA overview page; Static analyzer for NGINX configuration; Practical advise on improving NGINX setup from the core NGINX team; Track NGINX versions and branches; Match NGINX version against the security advisories database; SSL certificate monitoring; Set up alerts for any collected metrics; Tags and aliases for hosts; Aggregate monitoring mode for Docker images |
Statistics | ||
GitHub Stars 20.8K | GitHub Stars 70.7K | GitHub Stars 33 |
GitHub Forks 8.5K | GitHub Forks 13.1K | GitHub Forks 11 |
Stacks 20.6K | Stacks 18.4K | Stacks 56 |
Followers 16.4K | Followers 14.6K | Followers 63 |
Votes 262 | Votes 415 | Votes 0 |
Pros & Cons | ||
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What are some alternatives to Kibana, Grafana, NGINX Amplify?
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).
Jaeger
Jaeger, a Distributed Tracing System
Telegraf
It is an agent for collecting, processing, aggregating, and writing metrics. Design goals are to have a minimal memory footprint with a plugin system so that developers in the community can easily add support for collecting metrics.
