prometheus grafana

-process cross-network multi-process extension, to achieve the cloud is sure to realize the resources to the process of remote orchestration and scheduling, we think this constitutes the foundation of the cloud. To give a simple example of monitoring services, a complete monitoring service based on STATSD needs to have Influxdb, Grafana, STATSD Three service components, each service is only a single function, a simple service is not able to provi

First, IntroductionHeapster is a cluster-wide monitoring and event data aggregator. It natively supports kubernetes and can be run on all kubernetes settings. Heapster is run as a cluster in a group, similar to how any other kubernetes application runs. InfluxDB is an open source database written in go that is designed to handle time-series data with high availability and high performance requirements. It exposes an easy-to-use API to write and get time series data. The Heapster is

Objective: Although the author has released the Docker version, it can be built with just one click (One command). But in the spirit of learning or to do their own toss over, a key although good but not clear ah. The official has already written the installation very detailed, but after all is English ... PGWATCH2 Official Address: HTTPS://GITHUB.COM/CYBERTEC-POSTGRESQL/PGWATCH2 System environment: CentOS 7.5 IP: 192.168.1.2

useful, but there was some pitfalls. Here is some tips: Don ' t publish expensive functions. These can make expvar too expensive and even turn it to an accidental DoS vector Use verbose names. Err on the side of greater descriptiveness through verbosity. Beyond Expvar:more operable HTTP Endpoints You can also expose other information via HTTP: Health Handler Specialized handlers for libraries (e.g. Vault integration) Shutdown handlers (quit and abort) Admin Handlers:

Objective In the K8S resource audit and billing this piece, the container and the virtual machine have very big difference. The container is not easy to implement relative to the virtual machine.Resource metrics can be collected using Heapster or Prometheus. Before the article has introduced, Prometheus Storage bottleneck and query large data volume, easy to oom these two problems. So I chose the heapster.

Xor SumTime limit:2000/1000 MS (java/others) Memory limit:132768/132768 K (java/others)Total submission (s): 4445 Accepted Submission (s): 652Problem DescriptionZeus and Prometheus did a game. Prometheus gives Zeus a collection that contains n positive integers. Prometheus will then initiate m queries to Zeus, including a positive integer S in each query. After t

Enter the Influxdb-grafana directoryFirst, ensure that you have successfully created Kube-system this namespace if not created namespace then use \kube-system.yaml file to create Kubectl create-f KUBE-SYSTEM.YAML Create Influxdb,grafana, execute Kubectl create-f./ Create a successful view: now create Heapster: There are two ways to create One is created in pod mode (not currently implemented Add-host functi

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.githubusercontent.com/kubernetes/heapster/master/deploy/kube-config/influxdb/grafana.yamlwget https://raw.githubusercontent.com/kubernete

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

monitoring data of the container and can send the monitoring data to the three-party monitoring framework through integration. With the monitoring data, we can define our own alarm rules in the monitoring framework, and call the Aliyun container service-provided triggers to enlarge or shrink the container when the indicator alarm occurs. The following is a influxdb,kapacitor to introduce how to implement a custom elastic scaling with a trigger and a monitoring framework integration. Generating

Start InfluxdbDocker run-d--net=host-e pre_create_db=cadvisor--name influxsrv tutum/influxdb:0.8.8Start CadvisorDocker run--volume=/:/rootfs:ro--volume=/var/run:/var/run:rw--volume=/sys:/sys:ro--volume=/var/lib/docker/:/va R/lib/docker:ro--publish=8080:8080--detach=true--name=cadvisor-e run_opts= "-storage_driver=influxdb-storage_d river_host=hostip:8086 "Logbase/cadvisor-influxdbAbnormal:At the beginning, the INFLUXDB executes the list series without data, knowing that cadvisor is not transmitt

who built the pyramid was a Prometheus (Prometheus) who stole fire from the heavenly house . Ancient and always without solution to the problem, along with the history of the archaeological excavation, again broke into the vision of civilization. How did the great masters of Science and Art, who built the pyramids, accomplish such masterpieces by what means? And how much of the wisdom and knowledge beyond

infrastructure developed by Golang. Prometheus, an early stage telemetry system is purely golang developed. Currently, stream processing takes Cassandra, but we are going to (almost) completely use Golang instead. We are also experimenting with HTTP streaming live services developed with Golnag. Many other small-product-oriented services. These projects are developed by about six teams, including more than 10 SoundCloud, most of whom

exit case, we may also be thousands of goroutine. If the Goroutine life cycle gets longer, we will instantly save up 100* thousands of goroutine, and if we don't, our service will crash instantly. So other people's problems may lead to failure of our own services. What to do? Use circuit breaker. We want to protect our services in this way: First set SLA (Service level agreement) Average response time Tolerance Rate Max QPS We need to monitor third-party service invocation error

, hash lists, and scalars. It uses whitespace notation indentation and a large number of dependent appearances, which are more appropriate for expressing hierarchical data structures. YAML 1.2 is a superset of the JSON format. https://github.com/prometheus/prometheus/blob/master/config/testdata/conf.good.yml 123456789101112131415161718192021 # My global configglobal

Today, Human civilization (civilization) has been highly developed, if the first-class project, many people will say that Prometheus (Prometheus) for the human stole the fire. There is no doubt that the discovery of Fire (discovery) plays a vital role in the process of human civilization (vital), especially for those who eat raw food like me, the Fire is my Savior (Savior). Oh.However, if fire is a prime co

Hadoop cluster monitoring needs to use a time series database, today spent half a day to investigate the use of the recent comparison of Fire influxdb, found it is really good, record the learning experience.Influx is written in the go language, developed for time series data persistence, and is supported by all platforms due to the use of the Go language. Similar time-series databases have Opentsdb,prometheus and so on.Opentsdb is very famous, perfor

Original: Istio Source analysis--mixer Telemetry report Statement This article needs to understand Istio,k8s,golang,envoy,mixer basics The analyzed environment is K8s,istio version 0.8.0 What are telemetry reports? This article mainly introduces a GRPC interface provided by mixer, which is responsible for receiving envoy escalated logs and showing the logs in Stdio and Prometheus. The word "telemetry report" was borrowed from Istio's

://DOCKONE.IO/ARTICLE/171 introduced here Prometheus (Prometheus) is also a good choice.3. Docker vs. virtual machine performance ComparisonHttp://chenbiaolong.com/2015/02/26/dockervm/?hmsr=toutiao.ioutm_medium=toutiao.ioutm_source= Toutiao.ioImportant: We've always said that Docker is a lightweight virtualization solution, and this article compares the CPU compute power and memory access to two dimensions,

1:helm (deployment tool that can be used to deploy common applications, instead of Kubelet native commands)Https://github.com/kubernetes/helmApplication list: https://github.com/kubernetes/charts/tree/master/stable2:prometheus Operator (k8s system monitoring)https://github.com/coreos/prometheus-operator/3:dashboard (Kubernetes Web UI Management Interface)Https://github.com/kubernetes/dashboard4:vmware Harbo