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

Prometheus vs Sysdig

OverviewDecisionsComparisonAlternatives

Overview

Prometheus
Prometheus
Stacks4.8K
Followers3.8K
Votes239
GitHub Stars61.1K
Forks9.9K
Sysdig
Sysdig
Stacks80
Followers150
Votes15
GitHub Stars8.1K
Forks748

Prometheus vs Sysdig: What are the differences?

  1. Architecture: Prometheus follows a pull-based architecture where it scrapes metrics from monitored targets, while Sysdig uses an agent that collects data directly from the kernel and containers, providing more detailed system visibility.

  2. Data Collection: Prometheus focuses on monitoring and alerting using its Prometheus Query Language (PromQL), while Sysdig offers capabilities for troubleshooting, security, and forensics through its Sysdig Secure and Sysdig Monitor products.

  3. Scalability: Prometheus is more suitable for small to medium-sized deployments due to its limitations in terms of scalability and storage capabilities, whereas Sysdig is designed for larger and more complex environments with advanced performance features.

  4. Open Source vs. Commercial: Prometheus is open-source software maintained by the Cloud Native Computing Foundation, while Sysdig provides a mix of open-source tools and enterprise-level solutions with additional features and support available through its commercial offerings.

  5. Integration with Kubernetes: Prometheus is widely used for monitoring Kubernetes clusters with native support, while Sysdig offers extended capabilities for container-level monitoring, alerting, and security in Kubernetes environments.

  6. User Interface: Prometheus provides a basic web interface for querying metrics and creating simple dashboards, whereas Sysdig offers a more intuitive user interface with advanced visualization tools, dependency mapping, and integrated troubleshooting capabilities.

In Summary, Prometheus and Sysdig have key differences in architecture, data collection methods, scalability, open-source/commercial offerings, Kubernetes integration, and user interface functionality.

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Advice on Prometheus, 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.

402k views402k
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
Susmita
Susmita

Senior SRE at African Bank

Jul 28, 2020

Needs adviceonGrafanaGrafana

Looking for a tool which can be used for mainly dashboard purposes, but here are the main requirements:

  • Must be able to get custom data from AS400,
  • Able to display automation test results,
  • System monitoring / Nginx API,
  • Able to get data from 3rd parties DB.

Grafana is almost solving all the problems, except AS400 and no database to get automation test results.

869k views869k
Comments

Detailed Comparison

Prometheus
Prometheus
Sysdig
Sysdig

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.

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.

Dimensional data; Powerful queries; Great visualization; Efficient storage; Precise alerting; Simple operation
Real-Time Dashboard; Historical Replay; Dynamic Topology; Intelligent Alerting
Statistics
GitHub Stars
61.1K
GitHub Stars
8.1K
GitHub Forks
9.9K
GitHub Forks
748
Stacks
4.8K
Stacks
80
Followers
3.8K
Followers
150
Votes
239
Votes
15
Pros & Cons
Pros
  • 47
    Powerful easy to use monitoring
  • 38
    Flexible query language
  • 32
    Dimensional data model
  • 27
    Alerts
  • 23
    Active and responsive community
Cons
  • 12
    Just for metrics
  • 6
    Needs monitoring to access metrics endpoints
  • 6
    Bad UI
  • 4
    Not easy to configure and use
  • 3
    Supports only active agents
Pros
  • 5
    Powerful web app
  • 5
    Monitoring
  • 5
    Easy setup
Integrations
Grafana
Grafana
Docker
Docker

What are some alternatives to Prometheus, 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.

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.

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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