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

Shinken vs Sysdig

OverviewDecisionsComparisonAlternatives

Overview

Sysdig
Sysdig
Stacks80
Followers150
Votes15
GitHub Stars8.1K
Forks748
Shinken
Shinken
Stacks17
Followers39
Votes0

Shinken vs Sysdig: What are the differences?

# Introduction
In this comparison, we will explore the key differences between Shinken and Sysdig.

1. **Architecture**: Shinken is a monitoring framework that is a rewrite of Nagios in Python, providing more scalability, flexibility, and extensibility. On the other hand, Sysdig is primarily focused on container monitoring, utilizing eBPF technology to capture system calls and collect detailed container-level metrics.
   
2. **Technology Focus**: While Shinken is designed for traditional server and network monitoring, Sysdig specifically targets containerized environments, offering deep visibility into containers, Kubernetes, and cloud-native applications.
   
3. **Alerting Capabilities**: Shinken offers comprehensive alerting features such as customizable escalation policies, advanced scheduling, and integrated notification mechanisms. In contrast, Sysdig provides alerting based on predefined metrics thresholds, which may be more limited compared to the flexibility of Shinken.
   
4. **Ease of Deployment**: Shinken requires more manual setup and configuration compared to Sysdig, which offers easier deployment through agents installed on hosts or within containers. Sysdig's agent-based approach simplifies the monitoring setup process, especially in dynamic container environments.
   
5. **Scalability**: Shinken is known for its horizontal scalability, supporting distributed monitoring setups with multiple pollers and distributed schedulers. Sysdig, on the other hand, excels in monitoring large-scale container orchestration platforms like Kubernetes with efficient resource utilization and minimal performance impact.
   
6. **Community and Support**: Shinken has an active community and a range of user-contributed plugins and extensions. In contrast, Sysdig provides enterprise-level support and a robust commercial offering for organizations requiring professional assistance and guaranteed service levels.

In Summary, Shinken and Sysdig differ in their architecture, technology focus, alerting capabilities, ease of deployment, scalability, and community support. 

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Advice on Sysdig, Shinken

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
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Detailed Comparison

Sysdig
Sysdig
Shinken
Shinken

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.

Shinken's main goal is to give users a flexible architecture for their monitoring system that is designed to scale to large environments. Shinken is backwards-compatible with the Nagios configuration standard and plugins. It works on any operating system and architecture that supports Python, which includes Windows, GNU/Linux and FreeBSD.

Real-Time Dashboard; Historical Replay; Dynamic Topology; Intelligent Alerting
Easy to install : install is mainly done with pip but some packages are available (deb / rpm) and we are planning to provide nightly build; Easy for new users : once installed, Shinken provide a simple command line interface to install new module and packs; Easy to migrate from Nagios : we want Nagios configuration and plugins to work in Shinken so that it is a “in place” replacement; Plugins provide great flexibility and are a big legacy codebase to use. It would be a shame not to use all this community work Multi-platform : python is available in a lot of OS. We try to write generic code to keep this possible; Utf8 compliant : python is here to do that. For now Shinken is compatible with 2.6-2.7 version but python 3.X is even more character encoding friendly; Independent from other monitoring solution : our goal is to provide a modular tool that can integrate with others through standard interfaces). Flexibility first; Flexible : in an architecture point view. It is very close to our scalability wish. Cloud computing is make architecture moving a lot, we have to fit to it; Fun to code : python ensure good code readability. Adding code should not be a pain when developing;
Statistics
GitHub Stars
8.1K
GitHub Stars
-
GitHub Forks
748
GitHub Forks
-
Stacks
80
Stacks
17
Followers
150
Followers
39
Votes
15
Votes
0
Pros & Cons
Pros
  • 5
    Monitoring
  • 5
    Powerful web app
  • 5
    Easy setup
No community feedback yet
Integrations
Docker
Docker
Nagios
Nagios

What are some alternatives to Sysdig, Shinken?

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.

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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