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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. NetData vs Sensu

NetData vs Sensu

OverviewComparisonAlternatives

Overview

Sensu
Sensu
Stacks201
Followers251
Votes56
GitHub Stars2.9K
Forks386
Netdata
Netdata
Stacks226
Followers392
Votes82

NetData vs Sensu: What are the differences?

1. **Ease of Installation and Setup**: NetData is known for its simple and straightforward installation process, requiring minimal configuration and setup, making it ideal for quick deployment. In contrast, Sensu may have a steeper learning curve with more intricate installation steps and configuration settings. 2. **Monitoring Capabilities**: NetData primarily focuses on real-time performance monitoring with detailed metrics and visualizations at the system level, offering insights into resource utilization and performance bottlenecks. Sensu, on the other hand, is more versatile and extensible, allowing for broader monitoring capabilities beyond basic system performance monitoring, such as event-based monitoring and cloud integrations. 3. **Scalability and Flexibility**: NetData is designed for small to medium-sized environments with a focus on simplicity and efficiency, while Sensu is more scalable and suitable for larger and more complex infrastructures due to its ability to handle diverse monitoring requirements and configurations. 4. **Alerting and Notification Systems**: NetData comes with basic alerting features that notify users based on predefined thresholds or rules, while Sensu provides a robust alerting and notification system with advanced options for customizing alerts, routing notifications, and integrating with various third-party tools. 5. **Community and Support**: NetData has a growing community of users and contributors but may have limited support options compared to Sensu, which offers commercial support, enterprise features, and a larger community with a wealth of resources and documentation available. 6. **Integration and Extensibility**: Sensu emphasizes integration capabilities, providing a wide range of plugins, extensions, and integrations with other tools and platforms, enabling users to customize and extend its functionality to suit their specific monitoring needs. NetData, while extensible to some extent, may have fewer integration options and may not offer the same level of customization as Sensu.

In Summary, NetData leans towards simplicity and real-time system performance monitoring, while Sensu offers more advanced monitoring capabilities, scalability, and customization options for complex environments.

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Detailed Comparison

Sensu
Sensu
Netdata
Netdata

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.

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

Health checks & custom metrics; alerts & incident management; real-time inventory; auto-remediation & custom workflows; container monitoring; Kubernetes monitoring; telemetry & service health checking; multi-cloud monitoring
Free, open-source; Easy installation and configuration; Access to monitoring unlimited metrics; Prebuilt dashboards and alarms; alerts on any metric, for a single host, an entire cluster, or your entire infrastructure; Tools for team collaboration; 800+ integrations
Statistics
GitHub Stars
2.9K
GitHub Stars
-
GitHub Forks
386
GitHub Forks
-
Stacks
201
Stacks
226
Followers
251
Followers
392
Votes
56
Votes
82
Pros & Cons
Pros
  • 13
    Support for almost anything
  • 11
    Easy setup
  • 9
    Message routing
  • 7
    Devs can code their own checks
  • 5
    Ease of use
Cons
  • 1
    Plugins
  • 1
    Written in Go
Pros
  • 17
    Free
  • 14
    Easy setup
  • 12
    Graphs are interactive
  • 9
    Well maintained on github
  • 9
    Montiors datasbases
Integrations
ServiceNow.com
ServiceNow.com
Prometheus
Prometheus
InfluxDB
InfluxDB
Grafana
Grafana
PagerDuty
PagerDuty
Puppet Labs
Puppet Labs
CouchDB
CouchDB
ActiveMQ
ActiveMQ
Logstash
Logstash
Fail2ban
Fail2ban
TimescaleDB
TimescaleDB
Windows
Windows
Grafana
Grafana
MongoDB
MongoDB
RabbitMQ
RabbitMQ

What are some alternatives to Sensu, Netdata?

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.

Zabbix

Zabbix

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

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

Telegraf

Telegraf

It is an agent for collecting, processing, aggregating, and writing metrics. Design goals are to have a minimal memory footprint with a plugin system so that developers in the community can easily add support for collecting metrics.

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