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
document is by default in v1.11.2 version
Kube-dns
1.14.10
This document is by default in the 1.14.10 version
Dashboard
1.8.3
This document is by default in the 1.8.3 version
Heapster
v1.5.4
This document is by default in the v1.5.4 version
Influxdb
v1.5.2
This document is by default in the v1.5.2 version
Grafana
v5.0.4
This documen
years of more than 10 years of time to develop products, of course, we send a classmate, a short time to build their own wheels can be compared to the. Don't tell us, you see, even the father of the Penguin. In their own public cloud large data package services, provide the products are Yong Hong.
So you have to say that people do not want to pay for commercial products, so they develop it. Also not necessarily, and do not say that the price of the purchase of commercial products and the co
variables like '%valid%pass% ';ERROR 1820 (HY000): Must reset your password using ALTER USER statement before executing this statement.mysql> alter user [email protected] ' localhost ' identified by ' Oracle ';Query OK, 0 rows affected (0.07 sec)Mysql> Show variables like '%valid%pass% ';Empty Set (0.01 sec)--Create a user who can log on remotely:mysql> create user [email protected] '% ' identified by ' Oracle ';Query OK, 0 rows affected (0.06 sec)Mysql> Grant all privileges the [email protect
Tags: sea stutter BSP monitoring system engine INFLUXDB IDT includes fetching dataTwo months ago, a monitoring system based on the Elasticsearch + xpack (watch) was tested, and a problem was found: Elasticsearch performance was poor when used as a timing database, in my current hardware configuration (es host memory 8G), using Grafana When displaying data for more than two months, there is a noticeable lag in reading the data, and ES has a resource oc
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
Architecture of the Monitoring System
Out of interest, I recently started to study the monitoring system. As one of the core O M tools, the monitoring system may spend most of my career with it.
But now we are all in 8102. Although we need to cultivate the human O M capability in case of problems, in peacetime, many operations only need to be deployed once, to put it simply ......
Give me
Simple, crude, and easy-to-use graphical Monitoring Interface
View logs? Nonexistent
So I searched, asked
HDP (Hortonworks Data Platform) is a 100% open source Hadoop release from Hortworks, with yarn as its architecture center, including pig, Hive, Phoniex, HBase, Storm, A number of components such as Spark, in the latest version 2.4, monitor UI implementations with Grafana integration.Installation process:
Cluster planning
Package Download: (HDP2.4 installation package is too large, recommended for offline installation )
HDP installation
Dashboard, Heapster, Grafana monitoring and Skydns.
In fact, we're forcing each microservices to use at least the HTTP protocol to provide the rest API, and its port must be 80, so we can make mutual discovery between services simple and unified – using Skydns as a service discovery! (for example, to get all the non-invoiced tickets can call Http://invoice:80/api/v1/Invoices?status=open, query the customer information by region call Http://customer:
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,
, which means we had to switch threads too many times. Just as our first version was implemented using the Rust Futures's Park and Unpark task mechanism, it was constantly switching before grpc its own event loop thread and logical thread, but C plus plus was directly in an event loop Thread-processed. So we immediately changed to a C plus plus architecture, without the overhead of the task, and then the performance of a sudden with C plus plus the same.
Of course, perf can do far more than this
-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
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
number of users using Zabbix+grafana. For some paid performance monitoring tools, such as New Relic, most users are reluctant to upgrade from the free edition to the paid version for price considerations.However, there are many "trendy" monitoring tools on the market, primarily for startups, which include newer SaaS monitoring tools such as Cloud insight (System monitoring platform), Application insight (application performance monitoring platform),
data analysis.We live in a time when data is becoming "the most precious resource in the World" (""Economist", May 2017). We saw Cambrian's professional database (OLAP, time series, documents, charts, etc.), data processing tools (Hadoop,spark,flink), the data Bus (KAFKA,RABBITMQ) and other Red Sea. There are more applications that need to rely on this data infrastructure, whether it is a third-party data visualization tool (Tableau,grafana,powerbi,s
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
instance
The controller maintains the number of pod replicas, ensuring that a pod or a group of similar pods is always available.
n Elastic Scaling
Automatically scales the number of pod replicas based on set metrics (CPU utilization).
N Service Discovery
Use an environment variable or DNS service plug-in to ensure that a pod portal access address is found in the container.
n Load Balancing
A set of pod replicas allocates a private cluster IP address, and load-balanced forwarding requests to th
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