telegraf influxdb

The following statements can be called directly in the INFLUXDB Web management interface+# Create a databaseCREATE DATABASE"Db_name"# Show All DatabasesSHOW DATABASES# Delete DatabaseDROP DATABASE"Db_name"# using the databaseUse MyDB# Show tables in this databaseSHOW measurements# Create a table# Specify the table name directly when inserting data (weather is the table name)Insert Weather,altitude= +, Area= North Temperature= One, humidity=-4# Delete

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

This open lesson theme: Go language sharingContent: Go Introduction Go features Go object-oriented (features and principles) Go Network programming (socket, HTTP, RPC) Go concurrency Go Star Project (Docker, Kubernetes, Etcd, Consul, InfluxDB, Openfalon) How to build a deployment system with go Main lecturer: Radish Years of experience in go language development Work in automated operations and infras

(11,0,7,0), these values can be expressed in 4bit. That is to say [23,5,4,0xb0700000] (23,22,24,25,24). 4 of them represent a total of 4 in the following. If such a rule has been maintained to 100 int value, it can be represented by 16 int, with a compression rate of up to 6.3.The specifics are a lot more complicated, but here's a simple example. The InfluxDB lossless compression algorithm has a complete description on its page (note 3), which can be

Elasticsearch data with custom search for page presentation GPE MonitoringElk the main collection and analysis of the early warning is the business log of each service in our platform system, generally through the log components (log4j, LOG4J2, Logback) to collect and write text. But for the system itself and some application software monitoring and warning, this package is obviously not suitable, here is recommended GPE Three Musketeers, of course, GPE is my own out of the mix.Architectur

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

SaltStack practice: Remote execution-Returners,Remote Execution of SaltStack-Returners @ (Learning) [SaltStack] Remote Execution of SaltStack-Returners Returners list introduction mysql returner usage 1 install pip and MySQLdb2 configure mysql database 2 configure salt-master3 Test1. Returners list Returners Description Carbon_return Take data from salt and "return" it into a carbon else er Cassandra_cql_return Return data to a cassandra server Ca

The first two articles analyzed why I grabbed the http://www.php.cn/code/11829.html "target=" _blank "> interface and the results of data analysis from the motorcycle, which is provided as a direct source for learning. Statement:This crawler is only used for learning, research purposes, please do not use for illegal purposes. Any legal disputes arising therefrom shall be the sole responsibility of the No patience to read the article after the Please direct: git clone Https://github.co

fact, most of the database is the pressure of reading and writing, Database this actually does not understand ah, but can make use that influxdb to do. Take a look at this. There is also the matter of alarm, related to business important urgent matters priority alarm and so on. You can get a trigger priority. Let's do it first. 4, the machine is more, you can set the automatic discovery function, or automatic registration and so on. Batch management

system is described as follows: After the agent on the job machine starts, it sends a registration message to NSQ's register topic, NSQ Client changes the status of the job machine to "normal operation" according to the registration message in the Register data table; Then, the agent regularly reports the monitoring data to the NSQ,NSQ client in the processing process of various data persisted data to the SQLite database file; When the user access/central server invokes the API, Web

automatically added load balancing, and then delete the old version. To view application events: Application events primarily collect event information that is applied to the Kubernetes cluster. Monitoring, Alarm systemMonitoring alarms We have two major categories of PAAs platforms and business applications. The PAAs platform focuses on monitoring alarms for the various service components of the infrastructure and leengine (such as host CPU, memory, IO, disk space, leengine each service pr

This is a creation in Article, where the information may have evolved or changed. This series of documentation describes kubernetes all the steps of using a binary deployment cluster, rather than kubeadm deploying the cluster using automated methods; During deployment, the startup parameters of each component are listed in detail, their meanings, and the problems they may encounter. Once the deployment is complete, you will understand the interaction principles of each component of the system,

As a development, it is always necessary to help operations to troubleshoot problems, to give operational guidance data, but also worry about whether the system you develop is strong enough, the performance of the machine has been played, which business will be the bottleneck. It's always a distraction to deal with these things, how to write good code, maybe it's time to develop a monitoring system.Elk (Elasticsearch+logstash+kibana) is a good solution, they are open source software, with each o

1.14.5Registry.cn-shenzhen.aliyuncs.com/rancher_cn/k8s-dns-dnsmasq-nanny-amd64 1.14.5Registry.cn-shenzhen.aliyuncs.com/rancher_cn/heapster-influxdb-amd64 v1.3.3Registry.cn-shenzhen.aliyuncs.com/rancher_cn/heapster-grafana-amd64 v4.4.3Registry.cn-shenzhen.aliyuncs.com/rancher_cn/heapster-amd64 v1.4.0The contents of the Pause-amd64/3.0/dockerfile file in my private code library on GitHub are:From gcr.io/google_containers/pause-amd64:3.0maintainer [emai

Cluster components and versionsKubernetes 1.6.2Docker 17.04.0-ceEtcd 3.1.6Flanneld 0.7.1 Vxlan NetworkTLS Authenticated Communications (all components, such as ETCD, Kubernetes Master, and node)RBAC AuthorizationKubelet TLS BootStrappingKubedns, Dashboard, Heapster (Influxdb, Grafana), EFK (Elasticsearch,Fluentd, Kibana) pluginsPrivate Docker registry, using Ceph RGW back-end storage, TLS + HTTP Basic authenticationThis article is from the "according

This section describes the following components of several listenerAggregate report-Summary ReportFrom left to right: the number of samples with the same label, the average time of a set of results, the intermediate time of a set of results (50% of the sample does not exceed this time), 90% of the sample does not exceed this time, 95% of the sample does not exceed this time, 99% of the sample does not exceed this time, the shortest time, maximum time , throughput, received kb/sec, sent to kb/sec

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

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