NGINX Amplify vs StatsD

Overview

StatsD

Stacks373

Followers293

Votes31

NGINX Amplify

Stacks56

Followers63

Votes0

GitHub Stars33

Forks11

NGINX Amplify vs StatsD: What are the differences?

Developers describe NGINX Amplify as "Monitoring and management tool for NGINX". 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. On the other hand, StatsD is detailed as "Simple daemon for easy stats aggregation". StatsD is a front-end proxy for the Graphite/Carbon metrics server, originally written by Etsy's Erik Kastner. StatsD is a network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP and sends aggregates to one or more pluggable backend services (e.g., Graphite).

NGINX Amplify and StatsD belong to "Monitoring Tools" category of the tech stack.

Some of the features offered by NGINX Amplify are:

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

On the other hand, StatsD provides the following key features:

buckets: Each stat is in its own "bucket". They are not predefined anywhere. Buckets can be named anything that will translate to Graphite (periods make folders, etc)
values: Each stat will have a value. How it is interpreted depends on modifiers. In general values should be integer.
flush: After the flush interval timeout (defined by config.flushInterval, default 10 seconds), stats are aggregated and sent to an upstream backend service.

NGINX Amplify and StatsD are both open source tools. StatsD with 14.1K GitHub stars and 1.83K forks on GitHub appears to be more popular than NGINX Amplify with 216 GitHub stars and 39 GitHub forks.

Kickstarter, Algolia, and Lyft are some of the popular companies that use StatsD, whereas NGINX Amplify is used by NGINX Inc., Wakapad, and CWorks. StatsD has a broader approval, being mentioned in 72 company stacks & 16 developers stacks; compared to NGINX Amplify, which is listed in 3 company stacks and 5 developer stacks.

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CLI (Node.js)

Manual

Detailed Comparison

StatsD	NGINX Amplify
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).	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.
Network daemon; Runs on the Node.js platform; Sends aggregates to one or more pluggable backend services	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 -	GitHub Stars 33
GitHub Forks -	GitHub Forks 11
Stacks 373	Stacks 56
Followers 293	Followers 63
Votes 31	Votes 0
Pros & Cons
Pros 9 Open source 7 Single responsibility 5 Efficient wire format 3 Loads of integrations 3 Handles aggregation Cons 1 No authentication; cannot be used over Internet	No community feedback yet
Integrations
Node.js Docker Graphite	Docker NGINX PHP MySQL Ubuntu CentOS Debian

What are some alternatives to StatsD, NGINX Amplify?

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.

Jaeger

Jaeger, a Distributed Tracing System

Related Comparisons

Some of the features offered by NGINX Amplify are:

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

On the other hand, StatsD provides the following key features:

buckets: Each stat is in its own "bucket". They are not predefined anywhere. Buckets can be named anything that will translate to Graphite (periods make folders, etc)
values: Each stat will have a value. How it is interpreted depends on modifiers. In general values should be integer.
flush: After the flush interval timeout (defined by config.flushInterval, default 10 seconds), stats are aggregated and sent to an upstream backend service.

NGINX Amplify vs StatsD