grafana dashboard

/influxdb.conf [http] Enabled = true Bind-address = "127.0.0.1:8086" # Modify the configuration file and change the bind-address of http to 127.0.0.1. # Because it is used for monitoring, it does not authenticate, but only allows local address access. Systemctl start influxdb #StartInfluxDB Influx CREATE USER "pgwatch2" WITH PASSWORD ‘xyz‘ CREATE DATABASE pgwatch2 Use pgwatch2 GRANT ALL ON pgwatch2 to "pgwatch2" #Create a pgwatch2 user and a database of the same name, and a

Kubernetes Dashboard1.8.3 Deployment DescriptionPlease click images to download and use the image below. Installing Dashboard#下载yamlwget https://raw.githubusercontent.com/kubernetes/dashboard/master/src/deploy/recommended/kubernetes-dashboard.yaml#查看yaml中imageimage: k8s.gcr.io/kubernetes-dashboard-amd64:v1.8.3 Installing Heapster#下载yamlwget https://raw.gi

ASP. NET Core API Gateway real-time performance monitoringUsing Influxdb, GrafanaDockerfile running InfluxDB, Grafanainfluxdb:image: influxdb ports: - "8086:8086" - "8083:8083" environment: - INFLUXDB_DB=TogetherAppMetricsDB - INFLUXDB_ADMIN_ENABLED=true - INFLUXDB_ADMIN_USER=admin - INFLUXDB_ADMIN_PASSWORD=admingrafana: image: grafana/grafana ports: - "3000:3000"Configure

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

:v1.8.3 heapster-influxdb-amd64:v1.3.3 heapster-grafana-amd64:v4.4.3 heapster-amd64:v1.4.2 )for imageName in ${images[@]} ; dodocker pull registry.cn-shenzhen.aliyuncs.com/duyj/$imageNamedocker tag registry.cn-shenzhen.aliyuncs.com/duyj/$imageName k8s.gcr.io/$imageNamedocker rmi registry.cn-shenzhen.aliyuncs.com/duyj/$imageNamedonedocker pull quay.io/coreos/flannel:v0.10.0-amd64docker tag k8s.gcr.io/pause-amd64:3.1 k8s.gcr.io/pause:3.13. View

Build kubernetes cluster, there is a default dashboard, but this dashboard is relatively humble, can not be customized display. So we're going to use GRAFANA+HEAPSTER+INFLUXDB to build an integrated monitoring platform.What's the first thing? Get the source code from Https://github.com/kubernetes/heapster, in the Heapster/deploy/kube-config/influxdb folder will a

down the state of the text, processes can easily understand how many programs the system is waiting for I/O. Second, PMM architecture analysis The PMM architecture is shown in the following figure The PMM server is distributed as a Docker mirror, and PMM client is the normal RPM, which requires installing server-side and client-side software. Server components Query Analytics (QAN) is used to collect instructions and perform profiling, and its components are described as follows: Qan API: Stor

part of every cloud service. (Click to read "Why is kubernetes so popular") Hugo: Is the most popular open source static Web engine at the moment. Hugo's amazing speed and flexibility make building a Web site fun again. According to W3techs,hugo currently has a near-dominant Jekyll 3 times times the application. (GitHub address: Https://github.com/gohugoio/hugo) Prometheus: A combination of open source monitoring solutions and time-series databases that reinforces metrics and alert design to

Recovery of the specified data from a fully-prepared data, there are many ways to remove the data database name and table name from a fully-prepared data file, and so on, you can also restore the specified data by a fully-specified library name, this method is simple and fast, this method restores the unwanted library, but does not recover the data.The process is as follows:1. Check the status of the database before it has been backed upMariaDB [(None)]> show databases;+--------------------+| Da

-dashboard-amd64:v1.8.3Docker Pull k8s.gcr.io/heapster-influxdb-amd64:v1.3.3Docker Pull k8s.gcr.io/heapster-grafana-amd64:v4.4.3Docker Pull k8s.gcr.io/heapster-amd64:v1.4.21.10.1 Dependency Packages:Image update:Docker Pull k8s.gcr.io/kube-proxy-amd64:v1.10.1Docker Pull k8s.gcr.io/kube-scheduler-amd64:v1.10.1Docker Pull k8s.gcr.io/kube-controller-manager-amd64:v1.10.1Docker Pull k8s.gcr.io/kube-apiserver-am

series of functions for convenient statisticsNative http API, built-in HTTP support, read and write using HTTPPowerful Query Language similar to SQLBuilt-in Explorer comes with management tools3. APIInfluxDB supports two API modesHTTP APIProtobuf APIPersonal experience:1: Data for monitoring and health;2: Convenient expansion;3: Management, use is very cool;3:grafanaGrafana is a purely HTML/JS application that accesses influxdb without the restriction of cross-domain access. As long as you have

the new record. The other is the precision of manual lifting timestamp, up to microseconds, in theory can support 86,400,000,000 of non-repeating log each day, can greatly avoid the overlap of timestamps, the configuration is as follows: Business log output time stamp formatted to microseconds: 2006-01-02t15:04:05.999999z07:00Logstash filter based on timestamp conversionFilter {Ruby {Code = "Event.set" (' Time ', (Time.parse (Event.get (' time)). to_f*1000000). To_i) "}} 6. Data displayGrafan

= config . Withconsolereport (TimeSpan. FromSeconds (())Then enter http://localhost:1234/metrics/in the browser, you can see the various acquisition of quasi-real-time various metrics information:The performance of the above dashboard is slightly humble. In general, we typically store these real-time collected data in a distributed sequential database influxdb, and then use the Open source Chart control Gr