://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
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
Because of the project needs, it simply appears that the next time series database:The time series database is for the large amount of data writing, mainly used to record time series data, so as to monitor the record of the scene; write more read less scenes;What is time series data. Timing data is a series of data based on time. These data points are connected to a line in the coordinates of time, which can be made into multi-latitude report, revealing its trend, regularity and anomaly. Looking
WebSocket development based on embedded jetty serverWebSocket provides a full-duplex communication (Full-duplex) between the browser and the server, replacing the traditional polling (polling) practice. At present, in some web-base Rich text editor has a wide range of applications, such as Etherpad, graphite documents, Youdao cloud notes and so on. For a specific definition of websocket, see:http://baike.baidu.com/view/3623887.htmAndHttps://en.wikiped
After learning about the world's largest PHP site and Facebook's background technology, today we will learn about the website architecture of a million-level PHP site: Poppen.de. Poppen.de is a social networking website in Germany. It is a very small website relative to Facebook and Flickr, but it has a good architecture that integrates many technologies, such as Nigix, MySql, CouchDB, Erlang, Memcached, RabbitMQ, PHP, Graphite, Red5, and Tsung.
Stati
, mpfr, and mpc, but downloads and decompress download_prerequisites directly, finally, it is recommended to compile and install with gcc (download_prerequisites will decide whether to enable Graphite loop optimization based on the actual situation ).
If you cannot directly connect to the Internet in Linux, you can only open the download_prerequisites file, obtain the download link for these files, and then download the software from other Internet d
code typically follows the guidelines outlined in Code Style, And does its best to express a clear and concise intent to the reader.
Included below is a list of recommended Python projects for reading. Each one of these projects is a paragon of Python coding.
HowdoiHowdoi is a code search tool, written in Python.
FlaskFlask is a microframework for Python based on Werkzeug and Jinja2. It's intended for getting started very quickly and was developed with best intentions in mind.
DiamondDiamon
running history:
!cat
Find all empty sub-directories under/home/user:
find /home/user -maxdepth 1 -type d -empty
Line 50-60 in the test.txt file:
Run the last command (if the last command is mkdir/root/test, run: sudo mkdir/root/test ):
sudo !!
Create a temporary RAM File System-ramdisk (first create the/tmpram directory ):
mount -t tmpfs tmpfs /tmpram -o size=512m
Grep whole words:
grep -w "name" test.txt
Append the text to a file when you need to escalate permissions:
echo "some text" | sudo
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