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

Kiali vs Zipkin

OverviewComparisonAlternatives

Overview

Zipkin
Zipkin
Stacks199
Followers152
Votes10
GitHub Stars17.3K
Forks3.1K
Kiali
Kiali
Stacks69
Followers76
Votes0
GitHub Stars0
Forks0

Kiali vs Zipkin: What are the differences?

Key Differences between Kiali and Zipkin

Kiali and Zipkin are both widely used distributed tracing systems that help in troubleshooting microservices-based architectures. However, they differ in several key aspects:

  1. Architecture: Kiali is a fully integrated observability console that provides visibility into the health and performance of microservices, including tracing capabilities. On the other hand, Zipkin solely focuses on distributed tracing and provides limited visibility into other aspects of microservices.

  2. Feature Set: Kiali offers a comprehensive set of features, including service topology visualization, request flow monitoring, health and performance monitoring, and distributed tracing. In contrast, Zipkin primarily focuses on distributed tracing and provides advanced features specifically designed for tracing purposes.

  3. User Interface and Experience: Kiali provides a user-friendly and intuitive web-based interface with various interactive visualizations, making it easier to understand and analyze the complex relationships between microservices. Zipkin, although functional, has a relatively simpler and less polished user interface.

  4. Compatibility: Kiali is specifically designed for Kubernetes-based applications and integrates seamlessly with various Kubernetes tools and frameworks. On the other hand, Zipkin is a language-agnostic distributed tracing system that can be used with any application regardless of the underlying infrastructure.

  5. Integration Capabilities: Kiali integrates with popular observability and monitoring tools like Grafana, Prometheus, and Jaeger, enabling users to have a holistic view of their microservices ecosystem. Zipkin, while it can be integrated with other tools, primarily focuses on providing tracing data, making it less versatile in terms of integration capabilities.

  6. Community Support and Adoption: Kiali has gained significant traction within the Kubernetes community and has a large and active user base, which results in frequent updates and improvements. Zipkin, being a long-standing distributed tracing system, also has a significant community but may have relatively fewer updates or new features being added.

In summary, Kiali offers a comprehensive observability console with advanced tracing capabilities, while Zipkin primarily focuses on distributed tracing but offers limited visibility into other aspects of microservices. The choice between the two depends on specific requirements and the level of integration and functionality needed.

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Detailed Comparison

Zipkin
Zipkin
Kiali
Kiali

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

It is an observability console for Istio with service mesh configuration capabilities. It helps you to understand the structure of your service mesh by inferring the topology, and also provides the health of your mesh.

-
Weighted Routing Wizard; Matching Routing Wizard; Suspend Traffic Wizard; Advanced Options; More Wizard examples.
Statistics
GitHub Stars
17.3K
GitHub Stars
0
GitHub Forks
3.1K
GitHub Forks
0
Stacks
199
Stacks
69
Followers
152
Followers
76
Votes
10
Votes
0
Pros & Cons
Pros
  • 10
    Open Source
No community feedback yet
Integrations
No integrations available
Golang
Golang
Elasticsearch
Elasticsearch
Cassandra
Cassandra
Akutan
Akutan

What are some alternatives to Zipkin, Kiali?

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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