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

Kibana vs Sysdig

OverviewDecisionsComparisonAlternatives

Overview

Kibana
Kibana
Stacks20.6K
Followers16.4K
Votes262
GitHub Stars20.8K
Forks8.5K
Sysdig
Sysdig
Stacks80
Followers150
Votes15
GitHub Stars8.1K
Forks748

Kibana vs Sysdig: What are the differences?

Kibana vs. Sysdig:

<Write Introduction here>

1. **Data Sources**: Kibana primarily uses Elasticsearch as its data source, whereas Sysdig relies on its own agent and system instrumentation to collect data directly from the host and containers.
2. **User Interface**: Kibana offers a more visually appealing and user-friendly interface with features like dashboards, visualizations, and search capabilities, while Sysdig provides a more technical interface focused on monitoring and troubleshooting system performance.
3. **Focus**: Kibana is commonly used for log analysis and visualization, making it ideal for application monitoring and troubleshooting, whereas Sysdig is specifically designed for monitoring containerized environments, offering detailed insights into container performance and security.
4. **Alerting Capabilities**: Kibana supports alerting functionality through its Watcher feature, allowing users to set up conditions and actions based on data, while Sysdig offers more robust alerting capabilities, including out-of-the-box alerts for common issues in containerized environments.
5. **Integration**: Kibana integrates seamlessly with the entire Elastic Stack, including Elasticsearch, Logstash, and Beats, enabling comprehensive data analysis and visualization, whereas Sysdig can be integrated with various monitoring tools but does not have the same level of integration as Kibana.
6. **Community Support**: Kibana has a larger community of users, developers, and resources available for support and customization, making it easier to find solutions and best practices, while Sysdig's community is smaller but more focused on container monitoring and security.

In Summary, Kibana and Sysdig differ in terms of data sources, user interface, focus, alerting capabilities, integration options, and community support.

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Advice on Kibana, Sysdig

Leonardo Henrique da
Leonardo Henrique da

Pleno QA Enginneer at SolarMarket

Dec 8, 2020

Decided

The objective of this work was to develop a system to monitor the materials of a production line using IoT technology. Currently, the process of monitoring and replacing parts depends on manual services. For this, load cells, microcontroller, Broker MQTT, Telegraf, InfluxDB, and Grafana were used. It was implemented in a workflow that had the function of collecting sensor data, storing it in a database, and visualizing it in the form of weight and quantity. With these developed solutions, he hopes to contribute to the logistics area, in the replacement and control of materials.

403k views403k
Comments
Raja Subramaniam
Raja Subramaniam

Aug 27, 2019

Needs adviceonPrometheusPrometheusKubernetesKubernetesSysdigSysdig

We have Prometheus as a monitoring engine as a part of our stack which contains Kubernetes cluster, container images and other open source tools. Also, I am aware that Sysdig can be integrated with Prometheus but I really wanted to know whether Sysdig or sysdig+prometheus will make better monitoring solution.

779k views779k
Comments
matteo1989it
matteo1989it

Jun 26, 2019

ReviewonKibanaKibanaGrafanaGrafanaElasticsearchElasticsearch

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

Detailed Comparison

Kibana
Kibana
Sysdig
Sysdig

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.

Sysdig is open source, system-level exploration: capture system state and activity from a running Linux instance, then save, filter and analyze. Sysdig is scriptable in Lua and includes a command line interface and a powerful interactive UI, csysdig, that runs in your terminal. Think of sysdig as strace + tcpdump + htop + iftop + lsof + awesome sauce. With state of the art container visibility on top.

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
Real-Time Dashboard; Historical Replay; Dynamic Topology; Intelligent Alerting
Statistics
GitHub Stars
20.8K
GitHub Stars
8.1K
GitHub Forks
8.5K
GitHub Forks
748
Stacks
20.6K
Stacks
80
Followers
16.4K
Followers
150
Votes
262
Votes
15
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
    Works on top of elastic only
  • 4
    Elasticsearch is huge
  • 3
    Hardweight UI
Pros
  • 5
    Monitoring
  • 5
    Easy setup
  • 5
    Powerful web app
Integrations
Logstash
Logstash
Elasticsearch
Elasticsearch
Beats
Beats
Docker
Docker

What are some alternatives to Kibana, Sysdig?

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.

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).

Jaeger

Jaeger

Jaeger, a Distributed Tracing System

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