prometheus grafana

, stored in the database for the query, the other is to store the original data, in the user query according to filter conditions to screen the corresponding records for field calculation. It is obvious that the first scheme is undesirable in reality because the arrangement of filtration conditions is almost impossible, and in the second scenario, where the raw data is stored. If you're still using a relational database, then how do you want to index the table? This series of questions leads us

vitality of data products.Computing layer: Data generated in the data source layer, Datax, DBSync and Timetunnel are transmitted to the Hadoop cluster "ladder" by Taobao data transmission component, which is the main component of the computing layer. On the "ladder", there are about 40,000 jobs per day for 1.5PB of raw data according to the product requirements of different mapreduce calculation. Some of the data required for high effectiveness of the "ladder" to calculate the efficiency is rel

TiDB8 .69 CentOS7.4 X64 4c+8g+60g Central control Machine Ansible+monitor Use TIDB to log in to the console for planning configuration $ cd/home/tidb/tidb-ansible $ VI inventory.ini Configure the server IP under each configuration item # TIDB Cluster part [Tidb_servers] ***.***.**66 ***.***.**67 ***.***.**68 [tikv_servers] ***.***.**62 ***.***.**63 . ***.**64 [pd_servers] ***.***.**66 ***.***.**67 ***.***.**68 [Spark_master] . ***.**62 [spa

Tags: columnstore www reading monitor infoq cas level ISP selectionThe time series database is the largest and most widely used. This type of storage is commonly referred to when people talk about time series databases. Depending on the underlying technology, it can be divided into three categories. Straightforward file-based storage: RRD Tool,graphite Whisper. This type of tool is attached to the Monitoring alarm tool, and there is no regular database engine at the bottom. Simply there is

area), showing the memory size in gigabytes:The small letter M can control whether memory information is displayed.Task DetailsMemory information The following is a blank line (in fact, the area that interacts with the user), and the following empty line is the task detail area:By default, this will show 12 columns of data, all of which we are more concerned about to carry out the relevant information, below we are one of the introduction. The PID represents the process ID. User represents a

information (memory, CPU, network, JVM, and other information). In order to do this project, I also went to find a lot of similar articles on the Internet to refer to commonly used monitoring indicators and how they do monitoring. My mission was mainly to collect information, and then save to the company's major projects in the Influxdb, and finally show up with Grafana, behind my group's ops big guy showed me the monitoring market, the interface is

-a ' Local area Connection 'Number of crawl Windows user connections:#/usr/lib64/nagios/plugins/check_wmi_plus.pl-h 10.0.0.3-a/etc/check_wmi_plus/wmi.auth-m checkts-s SessionsIntegration into ICINGA2:# vi/etc/icinga2/conf.d/templates.confObject Checkcommand "Win-users" {Import "Plugin-check-command"Command = [Plugindir + "/check_wmi_plus.pl"]Arguments = {"-H" = "$address $""-A" = "$wmiauthdir $""-M" = "$mode $""-S" = "$sessions $"}}: Wq# vi/etc/icinga2/conf.d/services.confApply Service "Win_user

States is a configuration language in Saltstack and requires a large number of states files to be written in daily configuration management. For example, install a package, then manage a configuration file, and finally ensure that a service runs correctly.Write some states SLS files (files describing the state configuration) to describe and implement our functionality. The states SLS file is written in Yaml syntax. Of course states SLS files also support the use of the Python language, in fact,

. Based on HTML5, allows large screen display in data center or conference room. Diamond-Python-based statistics collection daemon Ganglia-high performance, scalable monitoring device based on RRD servers for grids and/or clusters. Compatible with graphite, using a single collection process. Grafana-A graphite or influxdb dashboard and graphics editor Open source, scalable drawing server InfluxDB-Open Source distributed time series

://GNOCCHI.XYZ.Why gnocchi? Why use gnocchi?Gnocchi has been created to meet the needs of a time-series database that is available in a cloud computing environment: the ability to store large amounts of metric data and be easily extensible.The gnocchi project began in 2014 as a branch of the OpenStack Ceilometer project to address the performance issues encountered by Ceilometer when using a standard database as a storage backend for metering data. For more information, see Julien's Blog Gnocchi

)InfluxDB:Sequential DB https://github.com/influxdata/influxdbGrafana:Visualization tool Https://github.com/grafana/grafana3. Implementation 3-1. Request PoolUse Gor to record line requests, serialize to JSON String according to line request, persist to Redis; performance test scripts get to the online request data based on key, and perform a pressure test.To facilitate the deployment of the request pool, Docker the request pool and use the following

biggest feeling is that I am still playing a single game, many of the first body has evolved to the cloud. Suddenly the brain hole big open, especially listened to the group of friends to share the PM2.5, back after a half-day run up, although eventually feel no use, but the PM2 used up, It also began to focus on program operation, especially the use of memory and CPU. Because PM2 can only show real-time usage, and I want to know the health of the program every day, what to do? Write a collecti

bootstrapping boot:Kickstart, Cobbler, Rpmbuild/xen, KVM, LXC, Openstack, Cloudstack, Opennebula, Eucalyplus, RHEVConfiguration class Tools:Capistrano, Chef, puppet, Func, Salstack, Ansible, RundeckMonitoring class Tools:Cacti, Nagios (Icinga), Zabbix, time-based monitoring front-end Grafana, mtopLog System:Logstash, ScribeDrawing tools:RRDtool, GnuplotFlow control System:PanabitPAAs platform as a service:Cloudify, Cloudfoundry, Openshift, Deis (Docke

Cache system: memcached (Group cache), Redis, MongoDB, Couchbase (CouchDB, Membase, Couchone)HTTP cache: Varnish, nginx, traficserver, squidLoad balancing: LVs, F5, NginxAgent: NginxCluster operating system (running on a standalone system): MesosCluster Management: KubernetesWeb server: Nginx, LIGHTHTTPD, Apache, TengineWSGI implementation: UWSGI, GunicornWeb framework (WSGI Server): web.py, Bottle, Django, Tornado, Beego (Golang), Martini (Golang), Revel (Golang)Web performance test: AB, SiegeC

history and then optimize them. On the other hand, we also made a real-time monitoring system to monitor processing conditions such as inflow, outflow data speed and so on. By monitoring the system alarm, it is convenient to operation the spark streaming real-time processing program. This small monitoring system mainly uses the Influxdb+grafana and so on realizes.4, our test network often appear can not find third-party jar case, if is with CDH class

In the Grafana interface found a lot of 499 status code, on the Internet to understand that 499 of the reasons are generally said that the server processing time is too long, the client actively shut down the connection.Since the service-side processing time is probably too long, take a look at the upstream_response_time time to see how long the backend program has been processed.Let's look at what Upstream_response_time and Request_time are, respecti

的访问路径If in the public network environment, it is recommended to make the next limit on the firewall, only allow 8081 to come in, 1101 for intranet access, so relatively safe, and do not have to enter the cumbersome password.Under Http://localhost:1101/admin/metrics, you can see output similar to the following:{mem:466881,mem.free:289887,processors:4,instance.uptime:10947,uptime:18135,systemload.average:3.12646484375, heap.committed:411648,heap.init:131072,heap.used:121760,heap:1864192,nonheap.co

APP MetricsHttps://www.app-metrics.ioReal-time performance monitoring for the cross-platform of ASP.Http://www.cnblogs.com/GuZhenYin/p/7170010.htmlThe. Net Core 2.0+ Influxdb+grafana+app Metrics enables real-time performance monitoring across platformsHttp://www.cnblogs.com/landonzeng/p/7904402.htmlOpen source Server monitoring System Opserver (ASP)Http://www.csharpkit.com/2017-11-29_59796.html[# in Progress]-. NET platform for real-time performance m

-amd64Gcr.io/google_containers/exechealthz-amd64 # Network plugin, all nodes will be installedWeaveworks/weave-kubeWeaveworks/weave-npc # DNS plug-in, Management node installationGcr.io/google_containers/kubedns-amd64Gcr.io/google_containers/kube-dnsmasq-amd64Gcr.io/google_containers/dnsmasq-metrics-amd64 # Web interface, Management node installationGcr.io/google_containers/kubernetes-dashboard-amd64 "' Start the Kubelet service Systemctl Start Kubelet Install work node Kubeadm join–token=[Previ

/hellodb/classes.frm--port=3310--user=root # Note This port is random. Mysqlindexcheck Find the redundant index under a libraryExample:mysqlindexcheck--server=root: ' 123456 ' @localhost: 3306:/tmp/mysql.sock grafana-f vertical-r-D--stats mysqlprocgrep identify user connections that meet certain criteria Parameters: -G,--basic-regexp,--regexp Use the ' REGEXP ' operator to match pattern. Default is to Use the ' like '. -Q,--print-sql,--sql Print the