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The most common operation of using Docker to build an application is Docker run or Docker pull, but for well-known reasons, it is not easy to get a high speed and steady access to the resources at the Docker hub at home. Although some Docker communities in the country also provide so-called accelerators, the measured results are not ideal. Today this article will introduce you how to use Azure storage to build a high-speed private Docker Hub (Registir
load balanced to run any number of instances you need, or you can change the number of instances at any time. Cloud storage provides blob storage, queues, and data tables similar to file systems.
SQL Data Services provides a complete relational database in the cloud, with the same functionality as SQL Server Enterprise products.
. NET Services provides the functionality required for enterprise business p
1. Buddha-Windows Azure
Buddha as Commander-in-Chief, living in the clouds, not common to, so I call Windows Azure Buddha.
Of course, he is essentially a Windows (windows-based) environment that manages and dominates a bunch of servers at Microsoft's data center (a large number of machines).
These big guys are responsible for the underlying computing and data storage.
Buddha also carries a vast crowd-
design the data table through the offline Microsoft SQL Server Management Studio, then export the SQL statement of the table structure, and then "new query" to execute the SQL statement again. SQL Server methods for exporting table structures see: http://www.kangry.net/blog/?type=articlearticle_id=946. Viewing data through SQL Server Management Studio(1) Open SQL Server Management Studio, click on the file-"Connection object, enter the server name, user name, and password." The service name can
your Azure Deployment Project, find package.xml:
Locate the Jetty startup line and add the JMX parameter after Java start : -dcom.sun.management.jmxremote=true-dcom.sun.management.jmxremote.port=1099 (the port can be defined by itself)-dcom.sun.management.jmxremote.ssl=false-dcom.sun.management.jmxremote.authenticate=falseFind Jetty Start line:?the above JMX parameter is added to the Jetty in the startup parameter
Save the changes and redeploy t
Exploring AWS and azure in cloud computing (3)
-- Amazon EC2 and Windows azure Virtual Machine
Today, I will compare the differences between AWS EC2 and azure VM processes. And compare some of their basic differences in the network environment.Article.
Today, I will use a medium-size machine, AWS's M1 medium,
Zabbix (4): Monitors multiple MySQL instances on Microsoft cloud Azure by modifying the official apsaradb for redis template of Zabbix.
Since MySQL instances on Microsoft cloud cannot install plug-ins to export data, refer to the previous article to monitor multiple Redis instances on Microsoft cloud
Zabbix (III): Monitors multiple Redis instances on Microsoft cloud Azure using the official Zabbix template, zabbixredis1. Running environment:
OS: CentOS 7.3/Python: 2.7.3/Pip: 9.0.1/Zabbix: 3.2.8/Redis: Microsoft cloud Redis 3.2.7
Monitoring templates officially provided by Zabbix.
Project address: https://github.com/blacked/zbx_redis_template
Python and Nodejs
partitioning, OLAP, Data Mining and Real application testing options Sql>
If you look at the background alert log in the Master Library Master Library, you will find that you have a record of starting the Transfer archive log:......******************************************************************Lgwr:setting ' active ' archival fordestination log_archive_dest_2******************************************************************Lgwr:standby Redo LogFile Selected toarchive thread
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