Objective:
Although the author has released the Docker version, it can be built with just one click (One command).
But in the spirit of learning or to do their own toss over, a key although good but not clear ah.
The official has already written the installation very detailed, but after all is English ...
PGWATCH2 Official Address: HTTPS://GITHUB.COM/CYBERTEC-POSTGRESQL/PGWATCH2
System environment:
CentOS 7.5
IP: 192.168.1.2
Build a docker environment for the Distributed log platform from the beginning and build a docker
In the previous article (spring mvc + ELK build a log platform from the beginning), we will share with you how to build a distributed log Platform Based on spring mvc + redis + logback + logstash + elasticsearch + kibana, it is operated on the windows platform. This article mainly involves all these software environments in linux + docker.
Our goal is t
ELK is a combination of Elasticsearch Logstash Kibana;Here is a simple how to install under the centos6.x system, follow-up write how to use these software;This is based on the official website recommended using Yum method installed;1. ElasticsearchRPM--import Https://packages.elastic.co/GPG-KEY-elasticsearcCat/etc/yum.repos.d/elsticsearch.repo[Elasticsearch-2.x]name=elasticsearch repository for 2.x packagesbaseurl=http://packages.elastic.co/elasticse
configurationVim _site/app.js#localhost替换为IP地址This.base_uri = This.config.base_uri | | This.prefs.get ("App-base_uri") | | "Http://10.2.151.203:9200";7.) Start GruntGrunt Server#如果启动成功, you can run directly in the background and the command line can continue typing (but if you want to quit, you need to kill the process yourself)Grunt Server Nohup Grunt Server Exit #后台启动#启动提示模块未找到
> Local Npm Module "Grunt-contrib-jasmine" not found. Is it installed?NPM Install Grunt-contrib-jasmine #安
Elasticsearch official documentation, data is inserted using a restful interface, which is an incremental update. When the amount of data is very large, it can be very time-consuming to traverse the full table to rebuild an index. And Elasticsearch-rivel-mysql This project is not very reliable, developers have even been on git to mark deprecated (not now). Anyway, I wrote another set of myself.
When importing MySQL data generation index, Sphinx is superior to elasticsearch in terms of ease of u
1. No log Analysis System 1.1 operation and maintenance pain points1. Operations are constantly looking at various logs.2. The fault has occurred before looking at the log (time issue. )3. Many nodes, log scattered, the collection of logs became a problem.4. Run logs, errors and other logs, no specification directory, collect difficulties.1.2 Environmental Pain Points1. Developers cannot log on to the online server to view detailed logs.2. Each system has a log, log data scattered difficult to f
because the company's Elasticsearch cluster only uses two servers. As long as one server data loss Elasticsearch will lose half the data. Therefore, the backup and recovery of data is very important. Elasticsearch snapshot and recovery modules can create a single index or a snapshot of the entire cluster to a remote repository for data backup and recovery. The following is a backup recovery. Kibana Index as an exampleData backup and Recovery1. Modify
ELK real-time log platform web User ManualDuring this time, the company launched a new product line. By deploying elasticsearch + logstash + kibana, the company can view logs in real time and open access interfaces to open access personnel, this frees O M from the boring log query work. The biggest highlight of the ELK platform is that you can use keywords to locate the problematic physical server and time segment, which is quite practical in the clu
Step by step1. Download the SoftwareElasticsearch:https://download.elasticsearch.org/...p/elasticsearch/2.0.0/elasticsearch-2.0.0.zipLogstash:https://download.elastic.co/logstash/logstash/logstash-2.0.0.zipKibana:https://download.elastic.co/kibana/kibana/kibana-4.2.0-windows.zip2. Unzip the downloaded software separately, Elasticsearch,logstash,
Docker if you need to manage the image from a non-SSL source, you need to configure the Insecury-registry parameter for the Docker profile, typically modifying its configuration file in the following location:*/etc/sysconfig/docker*/etc/init.d/dockerBy default, the Insecure_registry parameter is commented out and can be configured to target non-SSL-encrypted Docker Registry, as needed, for example:Insecure_registry= '--insecure-registry 10.XX. Xx. xx:5000 'If you need to explicitly label multipl
This blog installed Elk version of the current version of the latest 6.3.0, because Elasticsearch is based on Java development, so the JDK version is required, in the 5.0 version, requires JDK version of not less than 1.8 can be normal and practical.At the same time, Elasticsearch,logstash,kibana Three versions are best consistent, otherwise there will be errors due to version conflicts.Start the installation steps below:Installation of 1.elasticsearc
there's a metric there's a-means". Once you can repeatedly observe the balance of performance, performance problems are the best solution, but writing is the most difficult problem.
In general, everyone in the company to Judge Metrics, there are monitoring tools. For our small team, or a team that embraces the community, this is basically a matter of not worth the candle. Because you have a lot of effort to write one, it is not as good as the community, it is very troublesome. So, we have embed
Docker itself, we also encountered some pits. Here are some of them:
Docker Volume Plugin does not support getting Volume usage state data
Docker Volume Plugin exists file descriptor leaks bug--https://github.com/docker/docker/pull/20686
Swarm regular list will accidentally trigger Docker volume cache bug-https://github.com/docker/docker/issues/21403
About container MonitoringContainer monitoring in this project can also have a lot of room to improve. The project is Cadvisor,
Enter the Influxdb-grafana directoryFirst, ensure that you have successfully created Kube-system this namespace if not created namespace then use \kube-system.yaml file to create Kubectl create-f KUBE-SYSTEM.YAML Create Influxdb,grafana, execute Kubectl create-f./ Create a successful view: now create Heapster: There are two ways to create One is created in pod mode (not currently implemented Add-host functi
First, PMM Introduction
Second, PMM architecture analysis
Iii. Install and run PMM Server
Iv. installation and Operation PMM Client
Five, add MySQL monitoring
Vi. view monitoring and management platform
Seven, add MongoDB monitoring
Eight, instrument panel setup
Nine, frequently asked questions. First, PMM introduction
Percona Monitoring and Management (PMM) is an open source platform for managing and monitoring MySQL and MongoDB performance, with Third-party software PMM drawing to display DB m
:00.450z ", " host "= " noc.vfast.com "} You can use the Curl command to see if ES has received dataCurl ' Http://localhost:9200/_search?pretty '3, install KibanaUnzip to the corresponding folder after downloading TAR-ZXF kibana-4.1.1-linux-x64.tar.gz-c/usr/local/Start /usr/local/kibana-4.1.1-linux-x64/bin/kibanaWith http://kibanaServerIP:5601 access to Kibana
-processing, it is important to note that when the practical SCP command is distributed to other nodes, it is necessary to modify the value of its property, keeping the Node.name value of each node different.In addition, you can use the following command when installing the plug-in for the plugin ES cluster:
Head Plugin
sudo elasticsearch/bin/plugin-install mobz/elasticsearch-head
Bigdesk Plug-in
sudo elasticsearch/bin/plugin-Install Lukas-vlcek/bigdeskIts correspondi
Logstash is a data analysis software that is primarily designed to analyze log logs. The whole set of software can be used as an MVC model, Logstash is the controller layer, Elasticsearch is a model layer, Kibana is the view layer.
First, the data is passed to Logstash, which filters and formats the data (in JSON format), and then passes it to Elasticsearch for storage, search indexing, Kibana provides fron
Build a distributed log system from scratch, mainly on spring MVC with the Elk Suite (some of the work has been done by different colleagues because of the division of labor, I just developed it in an already configured environment), including the following technical points:
Spring MVC
Logback
Logstash
Elasticsearch
Kibana
Redis
Looking at the overall architecture diagram, this kind of architecture is very easy to sol
Pre-Preparation
Elk Official Website: https://www.elastic.co/, package download and perfect documentation.
Zookeeper Official website: https://zookeeper.apache.org/
Kafka official website: http://kafka.apache.org/documentation.html, package download and perfect documentation.
Flume Official website: https://flume.apache.org/
Heka Official website: https://hekad.readthedocs.io/en/v0.10.0/
The system is a centos6.6,64 bit machine.
Version of the software used:
logstash:2.3.3
Jdk:1.8.0_25
elastics
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