Metricbeat vs Pixi

Overview

Pixi

Stacks100

Followers86

Votes8

Metricbeat

Stacks48

Followers125

Votes3

Metricbeat vs Pixi: What are the differences?

What is Metricbeat? A Lightweight Shipper for Metrics. 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.

What is Pixi? Create beautiful digital content with the fastest, most flexible 2D WebGL renderer. Super fast HTML 5 2D rendering engine that uses webGL with canvas fallback.

Metricbeat and Pixi belong to "Monitoring Tools" category of the tech stack.

Some of the features offered by Metricbeat are:

System-Level Monitoring
system-level CPU usage statistics
Network IO statistics

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

Multi-platform Support
Interactive, visually compelling content on desktop, mobile and beyond, all reached with a single codebase to deliver transferable experiences
Tinting & Blending Modes

Pixi is an open source tool with 26.1K GitHub stars and 3.73K GitHub forks. Here's a link to Pixi's open source repository on GitHub.

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CLI (Node.js)

Manual

Advice on Pixi, Metricbeat

Sunil

Team Lead at XYZ

Jun 15, 2020

Needs adviceon

Prometheus

Grafana

Linux

Hi, We have a situation, where we are using Prometheus to get system metrics from PCF (Pivotal Cloud Foundry) platform. We send that as time-series data to Cortex via a Prometheus server and built a dashboard using Grafana. There is another pipeline where we need to read metrics from a Linux server using Metricbeat, CPU, memory, and Disk. That will be sent to Elasticsearch and Grafana will pull and show the data in a dashboard.

Is it OK to use Metricbeat for Linux server or can we use Prometheus?

What is the difference in system metrics sent by Metricbeat and Prometheus node exporters?

Regards, Sunil.

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Comments

Detailed Comparison

Pixi	Metricbeat
Super fast HTML 5 2D rendering engine that uses webGL with canvas fallback	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.
Multi-platform Support;Interactive, visually compelling content on desktop, mobile and beyond, all reached with a single codebase to deliver transferable experiences;Tinting & Blending Modes;Sprite Sheet Support;Asset Loader;Easy API;WebGL Filters	System-Level Monitoring; system-level CPU usage statistics; Network IO statistics
Statistics
Stacks 100	Stacks 48
Followers 86	Followers 125
Votes 8	Votes 3
Pros & Cons
Pros 8 Fast Performance	Pros 2 Simple 1 Easy to setup
Integrations
HTML5 React WebGL	Redis Linux NGINX Windows

What are some alternatives to Pixi, Metricbeat?

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).

Related Comparisons

Metricbeat and Pixi belong to "Monitoring Tools" category of the tech stack.

Some of the features offered by Metricbeat are:

System-Level Monitoring
system-level CPU usage statistics
Network IO statistics

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

Multi-platform Support
Interactive, visually compelling content on desktop, mobile and beyond, all reached with a single codebase to deliver transferable experiences
Tinting & Blending Modes

Pixi is an open source tool with 26.1K GitHub stars and 3.73K GitHub forks. Here's a link to Pixi's open source repository on GitHub.

Metricbeat vs Pixi