Kibana vs Supervisord

Overview

Supervisord

Stacks117

Followers112

Votes0

GitHub Stars8.9K

Forks1.3K

Kibana

Stacks20.6K

Followers16.4K

Votes262

GitHub Stars20.8K

Forks8.5K

Kibana vs Supervisord: What are the differences?

User base: Kibana is a data visualization and exploration tool primarily used for analyzing data stored in Elasticsearch, while Supervisord is a process control system used for managing processes and services in a Unix-like operating system.
Functionality: Kibana provides a user-friendly interface for visualizing data through charts, graphs, and maps, while Supervisord focuses on the management and monitoring of processes running on a system.
Integration: Kibana is often used in conjunction with Elasticsearch for data analysis and visualization, while Supervisord can be integrated with various programming languages and frameworks to manage and control processes.
Scalability: Kibana is designed to handle large volumes of data for exploration and analysis, while Supervisord is more focused on managing the execution and monitoring of individual processes.
Monitoring capabilities: Kibana provides monitoring options for Elasticsearch clusters and indices, allowing users to analyze the performance and health of their data, whereas Supervisord focuses on monitoring and managing individual programs and services.
Alerting: Kibana offers alerting capabilities to notify users about specified conditions in their data, while Supervisord does not have built-in alerting features and is more focused on process control and management.

In Summary, Kibana and Supervisord differ in terms of user base, functionality, integration, scalability, monitoring capabilities, and alerting features.

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Advice on Supervisord, Kibana

matteo1989it

Jun 26, 2019

Reviewon

Kibana

Grafana

Elasticsearch

I use both Kibana and Grafana on my workplace: Kibana for logging and Grafana for monitoring. Since you already work with Elasticsearch, I think Kibana is the safest choice in terms of ease of use and variety of messages it can manage, while Grafana has still (in my opinion) a strong link to metrics

757k views757k

Comments

StackShare

Jun 25, 2019

Needs advice

From a StackShare Community member: “We need better analytics & insights into our Elasticsearch cluster. Grafana, which ships with advanced support for Elasticsearch, looks great but isn’t officially supported/endorsed by Elastic. Kibana, on the other hand, is made and supported by Elastic. I’m wondering what people suggest in this situation."

663k views663k

Comments

abrahamfathman

Jun 26, 2019

Reviewon

Kibana

Splunk

Grafana

I use Kibana because it ships with the ELK stack. I don't find it as powerful as Splunk however it is light years above grepping through log files. We previously used Grafana but found it to be annoying to maintain a separate tool outside of the ELK stack. We were able to get everything we needed from Kibana.

2.29M views2.29M

Comments

Detailed Comparison

Supervisord	Kibana
It allows its users to monitor and control a number of processes on UNIX-like operating systems. It shares some of the same goals of programs like launchd, daemontools, and runit. it is meant to be used to control processes related to a project or a customer, and is meant to start like any other program at boot time.	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.
-	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
Statistics
GitHub Stars 8.9K	GitHub Stars 20.8K
GitHub Forks 1.3K	GitHub Forks 8.5K
Stacks 117	Stacks 20.6K
Followers 112	Followers 16.4K
Votes 0	Votes 262
Pros & Cons
No community feedback yet	Pros 88 Easy to setup 65 Free 45 Can search text 21 Has pie chart 13 X-axis is not restricted to timestamp Cons 7 Unintuituve 4 Elasticsearch is huge 4 Works on top of elastic only 3 Hardweight UI
Integrations
macOS FreeBSD Linux	Logstash Elasticsearch Beats

What are some alternatives to Supervisord, Kibana?

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.

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

Related Comparisons

Kibana vs Supervisord: What are the differences?

User base: Kibana is a data visualization and exploration tool primarily used for analyzing data stored in Elasticsearch, while Supervisord is a process control system used for managing processes and services in a Unix-like operating system.
Functionality: Kibana provides a user-friendly interface for visualizing data through charts, graphs, and maps, while Supervisord focuses on the management and monitoring of processes running on a system.
Integration: Kibana is often used in conjunction with Elasticsearch for data analysis and visualization, while Supervisord can be integrated with various programming languages and frameworks to manage and control processes.
Scalability: Kibana is designed to handle large volumes of data for exploration and analysis, while Supervisord is more focused on managing the execution and monitoring of individual processes.
Monitoring capabilities: Kibana provides monitoring options for Elasticsearch clusters and indices, allowing users to analyze the performance and health of their data, whereas Supervisord focuses on monitoring and managing individual programs and services.
Alerting: Kibana offers alerting capabilities to notify users about specified conditions in their data, while Supervisord does not have built-in alerting features and is more focused on process control and management.

In Summary, Kibana and Supervisord differ in terms of user base, functionality, integration, scalability, monitoring capabilities, and alerting features.

Kibana vs Supervisord

Overview