Use cAdvisor + InfluxDB + Grafana to configure Docker monitoring and cadvisorinfluxdb
Configure the Docker monitoring system, collect data (cAdvisor)-> store data (InfluxDB)-> display data (Grafana)InfluxDB
A series of InfluxDB le
Ubuntu under Cadvisor+influxdb+grafana+supervisord Monitor host and Docker containers (running on the host)Applies to the class Ubuntu system. AMD64.1. INFLUXDB: (Consider converting Influxdb to Prometheus later)Https://influxdb.com/docs/v0.8/introduction/installation.html#ubuntu-debian(You can only choose the way the
Tags: docker docker monitor Cadvisor influxdb Grafana1. ConceptCadvisor: For data acquisitionInfluxDB: For data storageGrafana: For data presentation1.1 Cadvisor
It is a monitoring tool that Google uses to monitor the resource information of a single node. Cadvisor provides a glance at a single node multi-container resource monitoring function. Google's
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 deploy
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 Grafana visual display platf
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. To store and display historical data, custom displays, you can integrate Cadvisor with Influxdb, Grafana.Required Image:Tutum/influxdbGoogle/cadvisorGrafana/grafanaInstallation: There are 8 mesos-slave that need to run a Cadvisor
operations and 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 sequential database for storing the monitoring information provided by the Cadvisor component to display time series data in addition to real-time information. Grafana: The Grafana visual dis
Tags: using the download LOB stderr results UAC easy-to-use DEP amp
The Docker swarm cluster has many monitoring options, and the Cadvisor+influxdb+grafana solution is powerful and flexible. The most important thing is that this program is open source, free, easy to use, is an inexpensive version of the monitoring program. Reference Document: https://botleg.com/stories/monitoring-
Tag:nalval Read artrecover write rooinfemsica First, configure Influxdbdocker run-d-P 8083:8083-p 8086:8086--expose 8090--expose 8099--name influxsrv tutum/influxdb Default user name: root, Default password: root# CREATE database ' cadvisor '; # Create user ' cadvisor ' with PASSWORD ' cadvisor ' # User authorized grant all privileges on ' cadvisor ' to ' cadvisor ' # grant Read and write access Grant W RITE on ' cadvisor ' to ' Cadvisor ' Grant READ
Tags: network dad relies on DBA type sharing feature Create dashFirst, Brief introductionCadvisor: is a monitoring tool that Google uses to monitor the resource information of a single node and is often used as a data collection for other monitoring.InfluxDB: is an open source, time-series database with no external dependencies. Applies to recording metrics, events, and performing analysis.Grafana: is a visualization panel (Dashboard), with very beautiful charts and layouts, a full-featured metr
This article assumes that the user has installed and configured Docker's operating environment, and Docker Daemon is already running. If you want to install Docker on SuSE, refer to the Article Docker Learning Series 1-suse installing Docker to set up the Docker runtime envi
Tags: php write pos uses the error BSP button to specify manual The HTTP API also has two operations: Write and query, this article first introduces you to the Influxdb HTTP API write operation mode.In the previous article on INFLUXDB study: The basic operation of INFLUXDB learning Influxdb, we mentioned that there are
InfluxDB: InfluxDB http api Query
In the last article on InfluxDB: InfluxDB's InfluxDB http api write operation, we introduced the process of using InfluxDB's http api to write data, this article introduces how to use InfluxDB's http api to query data. For more details about Influx
Recently used in the InfluxDB, here to record the learning process, but also hope to help other students to learn.This paper mainly introduces the functional characteristics of INFLUXDB and the installation process of INFLUXDB. For more Influxdb detailed tutorials See: INFLUXDB
Use python to operate InfluxDB and python to operate influxdb
Environment: CentOS6.5 _ x64InfluxDB version: 1.1.0Python: 2.6Preparations
Start the server
Run the following command:
service influxdb start
Example:
[root@localhost ~]# service influxdb startStarting influxdb
Tags: auth influxdb running his icon doc should group by ACKGrafana comes with a feature-rich data source plug-in influxdb. Supports rich query Editor, annotations, and templating (template) queries. Adding data sources (Adding the source)
Click the top Grafana icon to open the side menu.
In the Dashboards side menu under links, you should find a link called data sources.
Click on the but
Influxdb and traditional database in the concept of a lot of different, this article will give you some basic concepts in the INFLUXDB, more influxdb detailed tutorial see: INFLUXDB Series of Learning Tutorials DirectoryINFLUXDB Technology Group: 580487672 (click to join)Comparison with nouns in traditional database
InfluxDB is an open source distributed timing, event, and metrics database.Written in the Go language without external dependencies. Its design goal is to achieve distributed and horizontal scaling expansion.It has three main features:1. Time series (timeseries): You can use time-related functions (such as Max, Min, sum, etc.)2. Metrics (Metric): You can calculate large amounts of data in real time3. Eevents (Event): It supports arbitrary event dataCh
INFLUXDB can process tens of thousands of data per second, saving all of this data in a large amount of storage space, and sometimes we may not need to store all of the historical data, so INFLUXDB introduced a data retention policy (Retention policies), Used to allow us to customize the data retention time. For more Influxdb detailed tutorials See:
1) count () functionReturns the number of non-null values in an (field) field.Grammar:SELECT COUNT (Example:>select COUNT (water_level) from H2o_feetname:h2o_feet--------------time count1970-01-01t00:0 0:00z 15258Description Water_level This field has a total of 15,258 data in the H2o_feet table.Note: The function in Influxdb will default to epoch 0 (1970-01-01t00:00:00z) as time if no time is specified.You can add a time condition to the where, as fo
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