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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Ambari vs Ruby Server Timing

Ambari vs Ruby Server Timing

OverviewComparisonAlternatives

Overview

Ambari
Ambari
Stacks44
Followers74
Votes2
Ruby Server Timing
Ruby Server Timing
Stacks0
Followers4
Votes0
GitHub Stars514
Forks6

Ambari vs Ruby Server Timing: What are the differences?

Developers describe Ambari as "A software for provisioning, managing, and monitoring Apache Hadoop clusters". This project is aimed at making Hadoop management simpler by developing software for provisioning, managing, and monitoring Apache Hadoop clusters. It provides an intuitive, easy-to-use Hadoop management web UI backed by its RESTful APIs. On the other hand, Ruby Server Timing is detailed as "Brings Rails server-side performance metrics to Chrome's Developer Tools via the Server Timing API". Bring Ruby on Rails server-side performance metrics ๐Ÿ“ˆ to Chrome's Developer Tools (and other browsers that support the Server Timing API) via the server_timing gem Metrics are collected from the scout_apm gem. A Scout account is not required..

Ambari and Ruby Server Timing belong to "Monitoring Tools" category of the tech stack.

Ruby Server Timing is an open source tool with 495 GitHub stars and 6 GitHub forks. Here's a link to Ruby Server Timing's open source repository on GitHub.

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Detailed Comparison

Ambari
Ambari
Ruby Server Timing
Ruby Server Timing

This project is aimed at making Hadoop management simpler by developing software for provisioning, managing, and monitoring Apache Hadoop clusters. It provides an intuitive, easy-to-use Hadoop management web UI backed by its RESTful APIs.

Bring Ruby on Rails server-side performance metrics ๐Ÿ“ˆ to Chrome's Developer Tools (and other browsers that support the Server Timing API) via the server_timing gem. Metrics are collected from the scout_apm gem. A Scout account is not required.

Alerts; Ambari Python Libraries; Automated Kerberizaton; Blueprints; Configurations; Service Dashboards; Metrics
-
Statistics
GitHub Stars
-
GitHub Stars
514
GitHub Forks
-
GitHub Forks
6
Stacks
44
Stacks
0
Followers
74
Followers
4
Votes
2
Votes
0
Pros & Cons
Pros
  • 2
    Ease of use
No community feedback yet
Integrations
Hadoop
Hadoop
Ubuntu
Ubuntu
Debian
Debian
Rails
Rails
Docker
Docker
Ruby
Ruby
Heroku
Heroku
Cloud Foundry
Cloud Foundry

What are some alternatives to Ambari, Ruby Server Timing?

Grafana

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

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

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

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

Netdata

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

Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

Sensu

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

Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand

Lumigo

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

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).

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