Kiali vs Nagios

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Kiali
Kiali

9
3
+ 1
0
Nagios
Nagios

597
436
+ 1
94
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Nagios vs Kiali: What are the differences?

Nagios: Complete monitoring and alerting for servers, switches, applications, and services. Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License; Kiali: Service mesh observability and configuration. 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.

Nagios and Kiali belong to "Monitoring Tools" category of the tech stack.

Some of the features offered by Nagios are:

  • Monitor your entire IT infrastructure
  • Spot problems before they occur
  • Know immediately when problems arise

On the other hand, Kiali provides the following key features:

  • Weighted Routing Wizard
  • Matching Routing Wizard
  • Suspend Traffic Wizard

Nagios is an open source tool with 60 GitHub stars and 36 GitHub forks. Here's a link to Nagios's open source repository on GitHub.

- No public GitHub repository available -

What is Kiali?

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.

What is Nagios?

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.
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        What are some alternatives to Kiali and Nagios?
        Jaeger
        Jaeger, a Distributed Tracing System
        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.
        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.
        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.
        Graphite
        Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand
        See all alternatives
        Decisions about Kiali and Nagios
        Conor Myhrvold
        Conor Myhrvold
        Tech Brand Mgr, Office of CTO at Uber · | 10 upvotes · 839.9K views
        atUber TechnologiesUber Technologies
        Prometheus
        Prometheus
        Graphite
        Graphite
        Grafana
        Grafana
        Nagios
        Nagios

        Why we spent several years building an open source, large-scale metrics alerting system, M3, built for Prometheus:

        By late 2014, all services, infrastructure, and servers at Uber emitted metrics to a Graphite stack that stored them using the Whisper file format in a sharded Carbon cluster. We used Grafana for dashboarding and Nagios for alerting, issuing Graphite threshold checks via source-controlled scripts. While this worked for a while, expanding the Carbon cluster required a manual resharding process and, due to lack of replication, any single node’s disk failure caused permanent loss of its associated metrics. In short, this solution was not able to meet our needs as the company continued to grow.

        To ensure the scalability of Uber’s metrics backend, we decided to build out a system that provided fault tolerant metrics ingestion, storage, and querying as a managed platform...

        https://eng.uber.com/m3/

        (GitHub : https://github.com/m3db/m3)

        See more
        Interest over time
        Reviews of Kiali and Nagios
        No reviews found
        How developers use Kiali and Nagios
        Avatar of ShadowICT
        ShadowICT uses NagiosNagios

        We use Nagios to monitor our stack and alert us when problems arise. Nagios allows us to monitor every aspect of each of our servers such as running processes, CPU usage, disk usage, and more. This means that as soon as problems arise, we can detect them and call out an engineer to resolve the issues as soon as possible.

        Avatar of Analytical Informatics
        Analytical Informatics uses NagiosNagios

        We use Nagios to monitor customer instances of Bridge and proactively alert us about issues like queue sizes, downed services, errors in logs, etc.

        Avatar of OnlineCity
        OnlineCity uses NagiosNagios

        We use nagios based OpsView to monitor our server farm and keep everything running smoothly.

        Avatar of Peter Degen-Portnoy
        Peter Degen-Portnoy uses NagiosNagios

        Monitor web servers, databases, utility servers

        Avatar of Veggie Sailor
        Veggie Sailor uses NagiosNagios

        For the monitoring full stack of the platform.

        How much does Kiali cost?
        How much does Nagios cost?
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