kibana vs grafana

Tags: collectd grafana influxdbFirst, the introduction of common plug-insGets the connection status of the specified port established, close_wait, listen, etc.Tcpconns:Listeningports falseLocalPort "80"RemotePort "80"Get the status of NginxNginx:URL "Http://test.tt.com/NginxStatus"Ping:Host "172.18.2.125"Interval 10.0Timeout 1.0Get the traffic for the NICInterfaceInterface "Eth0"The following plugin directly cancels the commentCpuLoadMemoryProcessesIi

"]}#对ua进行解析useragent {Source = "UA"# type = "Linux-syslog"Add_tag = ["useragent"]}}output{#入eselasticsearch{hosts = ["10.130.2.53:9200", "10.130.2.46:9200", "10.130.2.54:9200"]flush_size=>50000Workers = 5Index=> "Logstash-tracklog"}} Need to note:1. The logsdate is replaced because: for example, the 2016-01-01 form of the field, into the ES, will be considered a time format, auto-completion is: 2016-01-01 08:00:00, resulting in kibana need to

This is my entire process of log analysis for haproxy in the unit.We have been in the maintenance ES cluster configuration, and did not put a set of processes including the collection end of the code, all their own once, and the online collection of logs when we generally use the logstash, but the industry many people say logstash whether it is performance and stability is not very good, The advantage of Logstash is the simple configuration, this time I chose the RsyslogToday this haproxy log, I

ObjectiveJMeter is an open source tool for performance testing, stress testing, and is being tested by a large number of testers to test product performance, load, and more. JMeter In addition to the powerful presets of various plugins, various visual charting tools, there are some inherent flaws, such as: We often can only analyze the performance of the same deployment in the report, it is inconvenient to make a vertical comparison, for example, each build will run a one-time test, but

First, open the Kibana discover interface, and we'll find that the default entry in the search box at the top of the page is "*", which also means that the default query is all information.Now, suppose our import kibana information is divided into two categories: trace and statistic, and the two types of information are differentiated in info-type.Then, when we enter Info-type:trace in the search box above

-http_ssl_module -- With-OpenSSL =/opt/openssl-1.0.1i -- With-PCRE =/opt/pcre-8.33 -- With-zlib =/opt/zlib-1.2.8 Nginx command Start:/usr/local/nginx/sbin/nginx Restart:/usr/local/nginx/sbin/nginx-s reload Stop:/usr/local/nginx/sbin/nginx-s stop View the main process: netstat-ntlp Check whether the startup is successful: netstat-ano | grep 80 Required to install Ruby to run kibana Sudo apt-Get update Wget http://cache.ruby-lang.org/pub/ruby/2.1/ruby

Elk Architecture: Elasticsearch+kibana+filebeatVersion information:Elasticsearch 5.2.1Kibana 5.2.1Filebeat 6.0.0 (preview)Today in the Elk Test, the Kibana above the discover regardless of the index, found that will be error:[Request] Data too large, data for [And in the Elasticsearch log you can see:Org.elasticsearch.common.breaker.CircuitBreakingException: [Request] data too large, data for [According to

Elasticsearch+logstash+kibana ConfigurationThere are a lot of articles about the installation of Elasticsearch+logstash+kibana, which is not repeated here, only some of the more detailed content. Considerations for installing in AWS EC2 9200,9300,5601 Port to remember to open Elasticsearch address do not write external IP, otherwise it will be a waste of data, write internal IP"ip-10-1

In the use of the Kibana plug-in Discover feature, there are two shortcuts for "filter in" (finding data that matches this value) and "filter out" (excluding data that matches this value), and when working with date data, you are prompted with the following error: Discover:failed to parse Date field [975542400000] with format [Year_month_day] failed to parse date field [975542400 with format [Year_month_day] As a hint, it should be an error that th

Tags: grafana, prometheus, MySQL MonitorFirst, Prometheus is an open source service monitoring system and time series database. :The official GitHub address is: Https://github.com/prometheus/prometheusOfficial address: https://prometheus.io/The official topology map is as follows650) this.width=650; "Src=" https://s1.51cto.com/wyfs02/M01/98/A6/wKiom1k_T1_iPyeZAABYjYY42Hw608.png-wh_500x0-wm_ 3-wmp_4-s_3448237193.png "title=" 082749_47dp_5189.png "alt="

more flexible and convenient and highly available implementation of our alert notification feature, here we implement the Webhook function ourselves.The first two articles look here:Grafana+prometheus system monitoring of the mail alarm functionGrafana+prometheus System monitoring nail alarm functionWebhook implementation look here:We use the recently popular spring-boot to implement this function, some of the code is as follows:/*** JSON data format* body:{* "IMAGEURL": "Http://grafana.org/ass

Dashboard Final EffectMore windows to execute SHHeapster+influxdb+grafana ConstructionThe entire architecture is dashboard to detect Hepster service services, Heapster through Cadvisor collects data into the influxdb. Instead, dashboard accesses the 8086 port of the Heapster Svc to get the data drawing.Prepare Yamlhttps://github.com/kubernetes/heapster/blob/master/deploy/kube-config/influxdb[[emailprotected] influxdb]# tree ..├── grafana.yaml├── heaps

{ get; set; } [FieldOrder(7)] public IActivity Activity { get; set; } [FieldOrder(8)] public string EnvironmentName => Environment.MachineName;}Based on business development:public class LatencyEvent : LogEventBase{ [FieldOrder(9)] public long Latency { get; set; } [FieldOrder(10)] public string SearchId { get; set; }}public class SearchEvent : LogEventBase{ [FieldOrder(9)] public string SearchId { get; set; } [FieldOrder(10)] public string SearchString { get

Collectd+influxdb+grafana Building Performance monitoring PlatformPreface InfluxDB is an open-source distributed time-series database for Go language development, which is well suited for storing metrics, events, analytics and other data; key-value times database performance is good. COLLECTD is a system performance acquisition tool written in the C language. Grafana is a front-end tool for

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.coElasticsearch is an open source distributed search engine, it features: distributed, 0 configuration, automatic discovery, Index auto-shard, index copy mechanism, RESTful style interface, multi-data source, automatic search load, etc.Logstash is a fully open source tool that collects, a

This article is written to record the Logstash+elasticsearch+kibana+redis building process. All programs are running under the Windows platform.1. Download1.1 Logstash, Elasticsearch, Kinana download from official site: https://www.elastic.co/1.2 Redis official without the Windows platform. You can download Windows platform version from GitHub: https://github.com/MSOpenTech/redis/releases2. Start each part of the component2.1 Redis Boot: Still relativ

This article is a reference to the practice of logstash official documentation. The environment and required components are as follows: RedHat 5.7 64bit/centos 5.x JDK 1.6.0 _ 45 Logstash 1.3.2 (with kibana) Elasticsearch 0.90.10 Redis 2.8.4 The process of building a centralized log analysis platform is as follows: Elasticsearch 1. Download elasticsearch. wget https://download.elasticsearch.org/elasticsearch/elasticsearch/elasticsearch-0.90.10.

Elasticsearch + Logstash + Kibana ConfigurationElasticsearch + Logstash + Kibana Configuration There are many articles about the installation of Elasticsearch + Logstash + Kibana. I will not repeat them here, but I will only record some details here. Precautions for installing AWS EC2Remember to open the elasticsearch address on ports 9200,9300 and 5601. Do not w

Kubernetes Release:stac Kdriver Logging for use with Google Cloud Platform, and Elasticsearch. You can find more information and instructions in the dedicated documents. Both use FLUENTD with custom configuration as a agent on the node.Okay, here's our pits guide.1. Preparatory work The Kubernetes code in GitHub is planted down to master local. git clone https://github.com/kubernetes/kubernetes Configure ServiceAccount, this is because after the download of FLUENTD images

Official Document: http://docs.grafana.org/reference/templating/ Grafana Show Zabbix host monitoring graphics, one host adds too much trouble. Want to view the monitoring graphics of multiple hosts, by using the configuration template, call multiple host data show!! 1. Configuration variables 650) this.width=650; "Style=" background-image:none; border-bottom:0px; border-left:0px; padding-left:0px; padding-right:0px; border-top:0px; border-right:0px;