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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. FireHydrant vs Kibana

FireHydrant vs Kibana

OverviewComparisonAlternatives

Overview

Kibana
Kibana
Stacks20.6K
Followers16.4K
Votes262
GitHub Stars20.8K
Forks8.5K
FireHydrant
FireHydrant
Stacks5
Followers21
Votes0

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Detailed Comparison

Kibana
Kibana
FireHydrant
FireHydrant

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.

FireHydrant is a modern incident management tool allowing your SRE and DevOps team to resolve, learn from, and mitigate incidents in the future.

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
Incident Response - Streamline incident response with repeatable process, automated response, and one-click postmortems.; Service Catalog - Keep track of applications across all of your environments as your organization scales.; Change Log - Identify breaking changes faster and spend more time mitigating.
Statistics
GitHub Stars
20.8K
GitHub Stars
-
GitHub Forks
8.5K
GitHub Forks
-
Stacks
20.6K
Stacks
5
Followers
16.4K
Followers
21
Votes
262
Votes
0
Pros & Cons
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
No community feedback yet
Integrations
Logstash
Logstash
Elasticsearch
Elasticsearch
Beats
Beats
CircleCI
CircleCI
PagerDuty
PagerDuty
Slack
Slack
Jira
Jira
GitHub
GitHub
Jenkins
Jenkins
AWS CloudTrail
AWS CloudTrail
StatusPage.io
StatusPage.io

What are some alternatives to Kibana, FireHydrant?

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.

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.

PagerDuty

PagerDuty

PagerDuty is an alarm aggregation and dispatching service for system administrators and support teams. It collects alerts from your monitoring tools, gives you an overall view of all of your monitoring alarms, and alerts an on duty engineer if there's a problem.

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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