graphite vs grafana

its Update method to renew the value.this//update the histogram with the input data TimerA timer is a combination of histogram and meter, such as the rate at which the current request is being counted and the processing time.You can define a timer:measure the time rate and duration of requests // Metric . Timer ("Requests"Unit.) requests);When used, call the Newcontext of the timer. (This//measure until disposed{ ...}two output of metric dataAfter collecting so much data, we need to show

. Based on HTML5, allows large screen display in data center or conference room. Diamond-Python-based statistics collection daemon Ganglia-high performance, scalable monitoring device based on RRD servers for grids and/or clusters. Compatible with graphite, using a single collection process. Grafana-A graphite or influxdb dashboard and graphics editor

real time. Metric provides a variety of data reporting interfaces. Including the Metrics.NET.FlotVisualization, as well as the output to the professional system monitoring graphite, output to open source, distributed, time series in the Influxdb, or output to Elasticsearch. It is also very simple to configure. For example, if you want to display directly on an HTTP page, simply set the appropriate endpoint when initializing:Metric.config . Withhtt

JavaScript library for visualizing complex networks;　　Dc.js: Dimension chart, used with Crossfilter, is rendered by d3.js, which is more adept at connecting graphs/additional metadata, thus hovering around D3 events;　　D3: JavaScript library for manipulating files;　　D3.compose: Complex, data-driven visualizations from reusable diagrams and components;　　D3plus: A fairly powerful set of reusable charts, as well as a d3.js style;　　Echarts: Baidu Enterprise Scene chart;　　ENVISIONJS: Dynamic HTML5 vi

-enterprise-class software for monitoring of networks and applications. Zabbix-Enterprise-class software for monitoring networks and applications Zenoss-Zope-based application, server and network management platform Metrics and Metrics CollectionMetric collection and display software COLLECTD-System Statistics Collection Daemon COLLECTL-High precision system performance metrics collection tool. Dashing-ruby Gem, allows rapid development of statistical dashboards. Based on H

Zenoss-Zope-based application, server and network management platform Metrics and Metrics CollectionMetric collection and display software COLLECTD-System Statistics Collection Daemon COLLECTL-High precision system performance metrics collection tool. Dashing-ruby Gem, allows rapid development of statistical dashboards. Based on HTML5, allows large screen display in data center or conference room. Diamond-Python-based statistics collection daemon The ganglia– is base

. First, in some respects, monitoring is still poor and this will be explained in more detail below. Second, monitoring is still a problem because more and more companies are starting to turn to MicroServices (microservices). What monitoring tools are being used by the enterprise?Although many new tools have emerged in the market since 2011, many "old" open source tools, such as Nagios and Zabbix, still dominate the market. The interview found that 70% of companies are still us

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

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

One, micro-service architecture diagram:Second, Technical Introduction: (Technology selection as the code will be completed)about the technology selection, I stole a micro-service technology stack diagram, as follows: Original:http://www.jianshu.com/p/2da6becfb019I will use the following techniques in Service Registration and service discovery: Consul Service Health Check: Consul Configuration management: Consul, Archaius Cluster fault tolerance: Hystrix Count monitoring

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