grafana vs kibana

Prometheus + Grafana monitoring deployment practices, prometheusgrafana Reference:I. Environment 1. Topology 2. Nodes Node OS Hostname IP Remark Prometheus grafana server Centos 1, 7.4 Prometheus 172.20.1.211 Prometheus node Centos 1, 7.4 Node1 172.20.1.212 3. Version (as of 20171130) Soft/Node

Kibana.yml# Kibana is served by a back end server. This setting specifies the port to use.#端口server.port:5601# Specifies the address to which the Kibana server would bind. IP addresses and host names is both valid values.# The default is ' localhost ', which usually means remote machines would not being able to connect.# to allow connections from the remote users, set this parameter to a non-loopback addres

provides the HTTP API, so you can use InfluxDB to easily build a monitoring data storage center. For INFLUXDB in the data show, here have to mention the data display weapon-grafana.Second, GrafanaA purely HTML/JS application that is very powerful and does not have cross-domain access restrictions when accessing influxdb. As long as you have configured the data source for Influxdb, the rest of the work is to configure the chart.To configure a data source:Set query criteria:Presentation data:Graf

1. Operating Environment[Email protected] ~]# Cat/etc/issuecentos release 6.4 (Final) Kernel \ r on an \m[[email protected] ~]# uname-r2.6.32-358 . El6.x86_64[[email protected] ~]# uname-mx86_642. Download Grafana and install[[Emailprotected]~]#wgethttps://grafanarel.s3.amazonaws.com/builds/grafana-2.6.0-1.x86 _64.rpm[[emailprotected]~]#rpm-ivhgrafana-2.6.0-1.x86_64.rpmrpm-ivh

the data.1.2 InfluxDB InfluxDB is an open source distributed timing, event, and metrics database written in the go language without the need for external dependencies. Similar databases are elasticsearch, graphite and so on. Influxdb Main Features Support time-dependent related functions (such as maximum, minimum, sum, etc.) based on time series; Measurable: You can calculate large amounts of data in real time; Event-based: It supports arbitrary event data;

your elasticsearch cluster is up and running properly.Installing KIABNAKibana is a WEB interface that provides data analysis for ElasticSearch. It can be used to efficiently search, visualize and analyze logs.First download the latest version of the KIABNA compression package to the official website.You can use the following command to fill in the latest available download links:https://artifacts.elastic.co/downloads/kibana/

Description: Use the Grafana official plugins (Grafana-kuberneres-app) Link Prometheus show kubernetes informationNote: All monitoring-related information is placed on the Namespace=monitorGithub:https://github.com/grafana/kubernetes-app1, Installation PrometheusProm-rbac.yamlapiVersion: rbac.authorization.k8s.io/v1beta1kind: ClusterRolemetadata: name: prometheu

Google Cadvisor is a great tool for monitoring Docker containers, but it only shows real-time data by default and does not store historical data. In order to store and display historical data, custom displays, you can integrate Cadvisor with Influxdb, Grafana, a foreign expert Brian Christner wrote an article "How to setup Docker monitoring", Describes the deployment method.Brian's approach is to manually run the Docker Run command to deploy, in order

Original address: http://www.cnblogs.com/saintaxl/p/3946667.htmlIn short, his specific workflow is to Logstash agent to monitor and filter the log, the filtered log content to Redis (here Redis only processing queues do not store), Logstash Index collects the logs together to the full-text search service Elasticsearch can use Elasticsearch to customize the search by Kibana to combine custom search for page presentation Ruby Run

configuration options, you can view the Cadvisor project documentation on GitHub. InfluxDB: It is a distributed time series database. Cadvisor only displays real-time information, but does not store monitoring data. Therefore, we need to provide a time series database to store the monitoring information provided by the Cadvisor component in order to display timing data in addition to live information. Grafana: The

Tags: grafana collectd influxdbWhy study Grafana, COLLECTD and InfluxDB, because I work in the use of open source monitoring software (Nagios, Cacti) drawing is based on RRD implementation, and frankly not very beautiful, and can not customize the chart, But with my development level can not do to write their own charts. 650) this.width=650; "src=" Http://img.baidu.com/hi/jx2/j_0059.gif "alt=" J_0059.gif "/

, sorting and statistics and the large number of machines still use such a method is a little too hard. Open source real-time log analysis Elk platform can perfectly solve our problems above, elk by Elasticsearch, Logstash and Kiabana three open source tools. Official website: https://www.elastic.co/products Elasticsearch is an open source distributed search engine, it features: distributed, 0 configuration, automatic discovery, Index auto-shard, index copy mechanism, RESTful style interface, mu

Elasticsearch Kibana Installation notes Kibana is a dashboard used for ElasticSearch analysis and query. It is worth noting that Kibana puts the analysis before the query, which is probably distinguished by other clients. For more information about Kibana, see here. Install Kibana