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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Zabbix vs Zipkin

Zabbix vs Zipkin

OverviewDecisionsComparisonAlternatives

Overview

Zabbix
Zabbix
Stacks684
Followers981
Votes66
GitHub Stars5.3K
Forks1.1K
Zipkin
Zipkin
Stacks199
Followers152
Votes10
GitHub Stars17.3K
Forks3.1K

Zabbix vs Zipkin: What are the differences?

Introduction:

In the world of monitoring and tracing tools, Zabbix and Zipkin are two widely used systems, each with its own unique features and capabilities. Understanding the key differences between Zabbix and Zipkin can help organizations make informed decisions about which tool is best suited to their specific monitoring and tracing needs.

  1. Data sources: One key difference between Zabbix and Zipkin is the type of data sources they are designed to work with. Zabbix focuses on monitoring a wide variety of servers, virtual machines, network devices, and other IT infrastructure components, allowing users to collect metrics and create alerts based on performance data. In contrast, Zipkin is primarily used for distributed tracing, tracking the flow of requests through complex microservices architectures to identify bottlenecks and latency issues.

  2. Scope of monitoring: Zabbix offers comprehensive monitoring capabilities, enabling users to track the performance of various IT systems and components in real-time. It includes features such as network discovery, alerting, and reporting, making it a versatile tool for monitoring complex infrastructures. On the other hand, Zipkin is more specialized in its focus on tracing distributed systems, providing detailed insights into the interactions between different application components and services.

  3. User interface: Another significant difference between Zabbix and Zipkin lies in their user interfaces. Zabbix provides a user-friendly web interface that allows users to easily navigate through different monitoring dashboards, graphs, and reports. It offers extensive customization options and a variety of visualization tools to help users make sense of their monitoring data. In contrast, Zipkin's interface is more streamlined, focusing on displaying detailed trace data and dependency graphs to help users pinpoint performance issues within distributed systems.

  4. Deployment and scalability: When it comes to deployment and scalability, Zabbix is designed to be a robust and scalable monitoring solution that can be deployed on-premises or in the cloud. It can handle large-scale monitoring environments with thousands of monitored devices and servers. Zipkin, on the other hand, is typically deployed as a distributed tracing system that is integrated into existing microservices architectures. It is optimized for tracing requests across multiple services and can scale horizontally to handle high request volumes.

  5. Alerting and notifications: Zabbix offers advanced alerting and notification capabilities, allowing users to set up alerts based on predefined thresholds, triggers, or trends in monitored data. Users can receive notifications via email, SMS, or other channels to stay informed about critical issues in their IT environment. Zipkin, on the other hand, does not include built-in alerting features and is primarily focused on providing insights into the flow of requests through distributed systems.

  6. Community and ecosystem: Zabbix has a large and active community of users and developers who contribute to the ongoing development and improvement of the platform. It offers a wide range of integrations with third-party tools and services, making it easy to extend its functionality and integrate it into existing workflows. Zipkin also has a dedicated community of users and contributors but is more specialized in its focus on distributed tracing, with a focus on supporting open standards such as OpenTracing and OpenTelemetry.

In Summary, understanding the key differences between Zabbix and Zipkin, such as data sources, scope of monitoring, user interface, deployment and scalability, alerting and notifications, and community and ecosystem can help organizations choose the right monitoring and tracing tool for their specific needs.

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Advice on Zabbix, Zipkin

vivek
vivek

Jun 8, 2020

Needs adviceonCentreonCentreonZabbixZabbixDatadogDatadog

My team is divided on using Centreon or Zabbix for enterprise monitoring and alert automation. Can someone let us know which one is better? There is one more tool called Datadog that we are using for cloud assets. Of course, Datadog presents us with huge bills. So we want to have a comparative study. Suggestions and advice are welcome. Thanks!

796k views796k
Comments

Detailed Comparison

Zabbix
Zabbix
Zipkin
Zipkin

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

It helps gather timing data needed to troubleshoot latency problems in service architectures. Features include both the collection and lookup of this data.

Smart, Highly Automated Metric Collection; Advanced Problem Detection; Intelligent Alerting and Remediation
-
Statistics
GitHub Stars
5.3K
GitHub Stars
17.3K
GitHub Forks
1.1K
GitHub Forks
3.1K
Stacks
684
Stacks
199
Followers
981
Followers
152
Votes
66
Votes
10
Pros & Cons
Pros
  • 21
    Free
  • 9
    Alerts
  • 5
    Templates
  • 5
    Service/node/network discovery
  • 4
    Base metrics from the box
Cons
  • 5
    The UI is in PHP
  • 2
    Puppet module is sluggish
Pros
  • 10
    Open Source
Integrations
Slack
Slack
Jira
Jira
PagerDuty
PagerDuty
Grafana
Grafana
Ansible
Ansible
Skype
Skype
Chef
Chef
Bugzilla
Bugzilla
HipChat
HipChat
ServiceNow.com
ServiceNow.com
No integrations available

What are some alternatives to Zabbix, Zipkin?

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

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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