statsd grafana

saved to a block deviceSystemIn:interrupts, Interrupt rateCs:context switch, process switching rateCpu:US, SY, ID, WA, STOptions:-S: Show memory statisticsPMAP command:Pmap-report memory Map of a processPMAP [options] pid [...]-X: Displays detailed format information;Another implementation:# Cat/proc/pid/mapsGlances command:glances [-BDEHMNRSVYZ1] [-B bind] [-C Server] [-C conffile] [-P port] [-p password] [--password] [-t refresh] [-f file] [- O Output]Built-in commands:A Sort processes automa

yourself using timed tasks to delete data from a table that is valid for only one hour, day, or weeks, you are not looking for the right way to do things. Using Redis,statsd/graphite, Riak, they are all more appropriate tools for doing this kind of thing. This recommendation also applies to data collected for those short life periods.Of course, it's also possible to plant potatoes in the back garden with an excavator, but it's much slower than taking

Sort processes by I/O rate1 Global CPU or PER-CPU statsd show/hide disk I/O statsH show/hideF show/hide File System statsT View network I/O as combinationN Show/hide Network StatsU View Cumulative network I/OS show/hide Sensors statsQ Quit (ESC and ctrl-c also work)Y show/hide hddtemp StatsGlances can be added with options at startup:Common options:-B: Display nic data rate in bytes-D: Turn off the disk I/O module-f/path/to/somefile: Setting the inpu

killers. Survival the thumbnail image into the database? Well, then you can't use Nginx or any other type of lightweight server to handle them.For your own convenience, in the database is simply to store a disk on the relative path of your files, or to use a S3 or CDN, and other services.Short Life Time DataUsage statistics, measurement data, GPS location data, session data, any data that is useful to you for a short period of time, or that changes frequently. If you find yourself using timed t

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

intelligent, root cause analysis and prediction of an application of the QPS trend, pre-HPA and so on, of course, this is now popular aiops category. Prometheus Data Persistence Scheme Solution Selection Support for Prometheus remote read and write programs in the community Appoptics:write Chronix:write Cortex:read and Write Cratedb:read and Write Elasticsearch:write Gnocchi:write Graphite:write Influxdb:read and Write Opentsdb:write Postgresql/timescaledb:r

-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,

)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

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

).MetricsHere is official suggested solution as follows. For more informaton, please see Tools for monitoring Compute, Storage, and Network ResourcesGrafana + heapster/prometheus + cadvisor + InfluxDBHeapster As a Metircs aggregator and processorInfluxDB Time Series database for storageGrafana As a dashboarding and alerting solutionCadvisor Have been built in Kubelet, which collects host metrics like CPUs, disk space, and memory utilization, in addition to Container metrics.And also, here's a pr

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

Recently in doing Prometheus monitoring, combined with Grafana to do front-end display, which involves memory time, there are many people on the memories of free and memory avaliable These two parameters are more confused, Here I use the Linux under the common view of memory usage of the free command, to do the next solution collation. Linux View memory usage, you can view/proc/meminfo and use the free command. root@prometheus-01:~# cat /proc/m

-ui.dz11.com http: paths: - path: / backend: serviceName: traefik-web-ui servicePort: webTo create a related resource:kubectl create -f ./traefik-ui.svc.yamlkubectl create -f ./traefik-ui.ingress.yamlConfigure DNS resolution to access the Traefik-ui service through traefik-ui.dz11.com, HTTP and HTTPS support at the same time, and do not force jumps.Monitor Traefik with PrometheusWhen you start Traefik, the--web.metrics.prometheus option is used, only the IP

-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