ec2 cloudwatch

request will be filters/weighers, in order to optimize this problem, Filter/weighter initialization from handler to scheduler, This can be reused every time the request is made. In the next version, Scheduler will be separated to Gantt, so there is some preparation for the separation in this release. Libvirt NFV Related Features NUMA (Non Uniform memory Architecture), under which each processor accesses a "local" pool of memory, resulting in a smaller latency and greater bandw

Codis Source Address: Https://github.com/wandoulabs/codisFor Codis components, refer to: https://github.com/wandoulabs/codis/blob/master/doc/tutorial_zh.mdToday's share of this article is purely personal understanding and use of some of the experience, if the mistake also ask a friend to point out.It is more important to know that some friends who are using or are going to use codis have more or less help.About the overall architecture and functionality of the CODIS official documentation given

List Instances of all T1.micro typesAWS EC2 describe-instances--output Table--query ' reservations[]. Instances[]. [Join (', ', tags[? key== ' Name ']. Value), Instanceid,state.name,publicdnsname] '--filters ' {"Name": "Instance-type", "Values": ["T1.micro"]} 'list the volume types for all EC2AWS EC2 Describe-volumes--query ' volumes[*]. [Volumeid, Attachments[0]. Instanceid,volumetype] 'list Elb and the in

How do I implement bulk operations in RESTful API designs? For example, a request to delete n IDs, similar to Elasticsearch in bulk that design. Reply content: How do I implement bulk operations in RESTful API designs? For example, a request to delete n IDs, similar to Elasticsearch in bulk that design. There are many ways to design, borrowing Backbone.js's argument: there's more Than one means to do It, don't be too tangled. To put it simply, here are a few good things: GET /

hosts list of master exists, Master joins it in the cluster.192.168.45.67:9300 adding logs172.20.5.161:9300 adding logs172.20.5.161:9301 addElasticsearch-1.5.2/config/elasticsearch.yml need to modify the division intoDiscovery.zen.ping.multicast.enabled and Discovery.zen.ping.unicast.hosts, modified as follows:################################## Discovery ################################### Discovery Infrastructure ensures Nodes can found within a cluster# and master node is elected. Multicast

reduced the sorting time to 23 minutes when 206 EC2 nodes were used. This means that Spark is three times faster than MapReduce in sorting the same data when one tenth is used to calculate resources! In addition, without the official PB sorting comparison, we first pushed Spark to the sorting of 1 PB of data (100,000 billion records. The result of this test is that when 190 nodes are used, the workload is completed in less than 4 hours, it also far e

training is complete. Because digits runs on a Web server, team users can easily share database and network configurations, as well as test and share results. The digits integrates the popular Caffe deep learning framework and supports GPU acceleration using CUDNN. Resource information Search in Baidu: NVIDIA DIGITS Software Home (DIGITS): https://developer.nvidia.com/digits hardware platform (NVIDIA-Built environment) DIGITS? Devbox):Https://developer.nvidia.com/d

Today I suddenly wanted to check my MySQL resource limits. First of all:[[Email protected] ec2-user]# PS aux|grep MySQLRoot 3208 0.0 0.0 110284 848 pts/0 s+ 02:02 0:00 grep mysqlRoot 31989 0.0 0.1 115016 1672? S Feb04 0:00/bin/sh/usr/bin/mysqld_safe--datadir=/var/lib/mysql--socket=/var/lib/mysql/mysql.sock--pid-file=/var /run/mysqld/mysqld.pid--basedir=/usr--user=mysqlMySQL 32256 0.0 8.9 684072 91100? Sl Feb04 0:39/usr/libexec/mysqld--basedir=/usr--da

Over the past few years, the use of Apache Spark has increased at an alarming rate, often as a successor to MapReduce, which can support a thousands of-node-scale cluster deployment. In-memory data processing, Apache Spark is much more efficient than mapreduce, but when the amount of data is far beyond memory, we also hear about some of the agencies ' problems with spark usage. So, together with the spark community, we've invested a lot of effort to improve spark stability, scalability, performa

, the configured IP is not the same ssh=$ (Weave run 10.1.1.2/24-t-I. Ubuntu) We can also tell HOST1 to connect HOST2, or both tell them that there is no problem, weave will automatically connect, after their service startup, we can also tell weave to connect multiple peers, you can provide multiple IP addresses, separated by a space. Above the HOST1: The code is as follows: Docker Attach $ssh Above the HOST2: The code is as follows: Docker Attach $ssh And then ping each other, and you'

/sshd_config created as/etc/ssh/sshd_config.rpmnew ############################## ####### [100%] 1.4.6 View the installed rpm $ sudo rpm-qa | grep OpenSSHOpenssh-clients-6.6p1-1.x86_64Openssh-server-6.6p1-1.x86_64Openssh-6.6p1-1.x86_64 2. Configure Controlmaster $ cd/home/dong.guo$ vim. Ssh/config Host *Compression YesServeraliveinterval 60Serveralivecountmax 5Controlmaster AutoControlpath ~/.ssh/sockets/%r@%h-%pControlpersist 4h 3. Download CMC tool for managing sockets $ cd ~$ sudo yum

Modify Chroot_local_user=yes To change the local user's root directory to their own FTP root directory Modify Chroot_list_enable=yes Effective chroot_list. The default file is Chroot_list_file=/etc/vsftpd/chroot_list Modify Tcp_wrappers=no Do not use tcp_wrappers restrictions (use the AWS EC2 security group as a constraint) Modify Connect_from_port_20=no Do not use Active

SQL starts to execute slowly, because long SQL executions block many other sqls.Check approach:There is reports that can is generated from within Management Studio for blocking transactions and long running SQL.Solutions:Find the blocker SQL with SQL below:SELECTDb.name DBName,TL.REQUEST_SESSION_ID,WT.BLOCKING_SESSION_ID,object_name (p.object_id) Blockedobjectname,Tl.resource_type,H1. TEXT as Requestingtext,H2. TEXT as Blockingtest,Tl.request_modeFrom Sys.dm_tran_locks as TLINNER JOIN sys.databa

clientipaddress , Db.name as DatabaseName , Wt.wait_type as WaitType , Ec1.connect_time as blockingstarttime Wt. wait_duration_ms/1000 as waitduration , ec1.session_id as Blockedsessionid , H1. TEXT as Blockedsqltext , H2. TEXT as

Article Title: Red Hat and Canonical seize the lead in the cloud era. Linux is a technology channel of the IT lab in China. Includes basic categories such as desktop applications, Linux system management, kernel research, embedded systems, and open source. Red Hat and Canonical, the two largest Linux vendors, respectively announced new initiatives to provide cloud computing commercial services to customers. I don't know if Linux will emit a ray of light in the fog of cloud computing? RedHat laun

The mysterious situation of Linux page table isolation patch Errata and supplement in this article Long message warning:This is a strictly restricted security bug that is not allowed to be disclosed (LCTT Note: it has been partially disclosed). It affects almost all CPU architectures that implement virtual memory, hardware changes are required to completely solve this bug. Urgent development work is in progress to mitigate this impact through software, and has recently been implemented in the L

Cloudify REST script 01 #! /Bin/bash02 03 bootOutput = "bl. out "04rm-f $ bootOutput // Delete b1.out file 05. /cloudify. sh "bootstrap-cloud ec2"> $ bootOutput 2> 1 // run. /cloudify. sh bootstrap-cloud ec2 redirects the output to b1.out and standard input to standard output. 06 searchString = "Rest service is" 07 selectedText = 'grep "$ {searchString}" $ bootoutput' // find the line "Rest service is" in

offers automatic backups. Selecting one of them depends mostly on which infrastructure you use to run your main applications. amazon RDS wocould be the best fit if you host them on EC2 for example, because of low latencies. but the combo isn' t required, you can host a Google Cloud SQL database with an EC2 server. Xeround en ClearDB take it up a notch, by providing high availability (100% uptime), easy bac

threatened us to repeat the contract price. Fortunately, we have little loss in that respect. According to IDC figures, there are almost the same number of free red hats and paid red hats. Obviously, people value those features, but many will not pay for them. Q: What about high-growth companies like Google and Amazon with a large scale-out infrastructure? Are you worried that these companies will use Linux for free? Whitehirst: Amazon is a paying customer, and Google is a rare exception. As th

CPU allocation method is still coarse-grained. For example, many tasks may be IO-intensive and consume very few CPU resources. If you allocate a CPU for it at this time, it is a serious waste, you can make him share a CPU with several other tasks. That is to say, we need to support a more granular CPU expression.Based on the division of CPU resources in Amazon EC2, The Minimum CPU Unit is EC2 Compute Unit