influxdb vs prometheus

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Big Data Resources

columnstore is and when it will need to be used; ACtian Vector: Column-oriented analytic database;  C-Store: column-oriented DBMS;  MONETDB: column storage database;  Parquet:hadoop the Columnstore format;  Pivotal Greenplum: Specially designed, dedicated analytical data warehouses, similar to traditional line-based tools, provide a single-column tool;  Vertica: Used to manage large-scale, fast-growing volumes of data that can provide very fast query performance when used in data warehouses;  G

Monitoring Linux systems with Python

to use, and the direct input glances command enters an interactive interface similar to the top command. In this interface, more comprehensive, more readable information is displayed than top.To increase readability, the glances will indicate different states in different colors. Among them, the green indicates good performance, the yuan should do any extra work; Blue indicates that there are some small problems in system performance, users should start to pay attention to system performance, p

How to build Kubernetes Platform (build Kubernetes Platform Scenario Reference)

).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 additi

Time series Database Selection--essentially column storage, B-tree index, or inverted index in search engine

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

Kubernetes Integrated Heapster Monitoring

Heapster is a container cluster monitoring and performance analysis tool that naturally supports kubernetes and CoreOS.Kubernetes has a well-known surveillance agent-cadvisor. The cadvisor is run on each kubernetes node, and it collects monitoring data (cpu,memory,filesystem,network,uptime) for both native and container.In the newer version, K8S has integrated the Cadvisor functionality into the Kubelet component. Each node can be accessed directly from the Web.1. Image download[Email protected]

Kubernetes monitoring: Grafana plugins in Kubernetes

Description: Use the Grafana official plugins (Grafana-kuberneres-app) Link Prometheus show kubernetes informationNote: All monitoring-related information is placed on the Namespace=monitorGithub:https://github.com/grafana/kubernetes-app1, Installation PrometheusProm-rbac.yamlapiVersion: rbac.authorization.k8s.io/v1beta1kind: ClusterRolemetadata: name: prometheus namespace: monitorrules:- apiGroups: [""]

Real-time data monitoring platform (2): Introduction and installation of telegraf

Next, I wrote a blog about influxdb and how to install it. This blog introduces how to install telegraf in Linux and its features... Official website address: influxdata Official documentation: telegraf documentation Environment: centos7.4 64-bit Influxdb version: 1.0.2 1. Introduction to telegraf 1. Basic Introduction Telegraf is a go agent that collects statistics on systems and services and writes them

K8S Cluster Monitoring deployment

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

PSP 5.03 cracking upgrade steps

Upgrade the official 5.03 system to a self-built system, such as 5.03 Prometheus 3 Installation instructions: 1.This system targetsPSP 3000/2000 v3User, and like GEN-C, currently only available on PSP 3000 host and the Official System Version cannot be higher5.03. 2. The attack method is also based on the image scalping vulnerability. The attack sequence is to shut down completely, read the image vulnerability, and then run the system. 3. p

Real-time performance monitoring for the cross-platform of ASP.

PrefaceIn front of us we talked about the 8 key locations an application should monitor.. Well.. The address is as follows:8 Key performance indicators and measurement methods for applicationsFinally sold a small xiaoguanzi about how to monitor the ASP.Today we will talk about how to monitor it, below:Read about the technologies and content you need to know in this article:InfluxDb (Distributed time Series database, open source) (Note: The distributed part has been commercialized the latest dist

Greek culture in the series of lectures on Western culture (Part II)

the tragedy by the famous Greek tragedy writer eskuros-the bound Prometheus. Prometheus is the God who steals fire from heaven to the earth. It is a God of high morality and a member of the Titan family. He used to help Zeus defeat Kloos, so he gained the favor of Zeus. However, in Greek, Prometheus was meant to be a prophet, that is, among the gods, only that h

How to monitor MongoDB replica set using Prometheu

Tags: etc from step TPS file Digital Dash Ofo shouldHow to monitor MongoDB replica set using PrometheusThere are many ways to monitor MongoDB replica set: Using Zabbix template to view MongoDB data (Zabbix+grafana) MongoDB official own but now charge for Prometheus collects data through Mongodb-exporter and then uses Grafana to display data (Prometheus+grafana) etc... Install

Compile the service management script using systemd

Compile the service management script using systemd The main purpose of running a Linux server is to provide services by running programs, such as mysql and web server. Therefore, the main task of Linux Server Management is to configure and manage various service programs running above. In Linux, The init system is responsible for managing service programs. As I introduced in my article "getting started with systemd", Linux's init system has evolved from sysvinit to systemd. This article describ

[k8s Cluster Series-09] Kubernetes Component Dashboard

version, K8S has integrated the Cadvisor functionality into the Kubelet component. Each node can be accessed directly from the Web. Cadvisor Web Interface Access:http://Cadvisor also offers restful api:https://github.com/google/cadvisor/blob/master/docs/api.mdGo to heapster release page to download the latest version of HeapsterGet file> wget https://github.com/kubernetes/heapster/archive/v1.5.3.tar.gz> tar -xf v1.5.3.tar.gz # 相关文件> cd heapster-1.5.3/deploy/kube-config/> ls rbac/ ls

How to implement the custom elastic telescopic _docker of Docker application

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

Dockone WeChat Share (102): container-based log management practices

=host--add-env test=env_name1-- Add-label tlabel=label_name) Prometheus Indicator data Log processing needs to provide fast data processing capabilities, in the development process encountered a performance problem, CPU occupied very high, for the problem of the program tuning, using Golang built-in package net/http/pprof, the Golang program tuning is very useful, The proportion of CPU memory consumed by each function in the program can be vis

Create the smallest Docker Image for Go programs

can see the display not a dynamic executable , where we disable CGO to generate a static binary file, while setting the system to Linux. We set the base image to scratch, which is a very small image.The re-written dockerfile is as follows: FROM scratchADD main /ENTRYPOINT ["/main"]CMD ["-logtostderr"] Execute Docker build-t example-scratch. To generate the image, you can see that the size of the image is only 8.27M in size and can be performed normally. The is sometimes used in practice in

"Istio Official document" Google Kubernetes engine Quick Start

installed features. By default, the tool creates a Gke alpha cluster with the specified settings, and then installs the Istio control surface, BookInfo the sample application, Grafana and Prometheus,servicegraph, and Zipkin. You'll find out more about how to access all of these below. Istio Gke Deployment Management Click to deploy: Gke-istio Launcher Wait until Istio is fully deployed. Please note that this may take five minutes. Bootstrap Gcloud

Common time Series Database Overview __ Database

For the storage of time series, a special time series database is used instead of MySQL or MONGO (but Zabbix is the MySQL used, so it encounters a bottleneck on Io). Now there are a lot of databases of time series, such as Graphite, OPENTSDB and the new influxdb. These three databases have been studied recently, and the Institute is now recorded. Graphite Graphite is a veteran time series storage solution, graphite consists of three parts, respectivel

Using elk to quickly realize the visualization of website traffic monitoring

ObjectiveThis article may not detail every step of the implementation process, but to a certain extent can lead the small partners to a more open vision, in tandem with each link, showing you a different effect.Business Scale 8 Platforms 100+ Platform Server More than one cluster grouping Micro-Service 600+ User n+ Facing problemsWith the development of distributed micro-service container technology, traditional monitoring system faces many problems: How co

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