rackspace mailgun

have previously supported CoreOS mirroring, including Amazon's AWS, cloud giants Rackspace and Google computer Engine,coreos, are everywhere.As a more than a year old operating system (the first release in March 2013), CoreOS in the cloud-related open source community and large-scale server clusters are already emerging, directly competing with the mainstream Linux server operating system. As for the later Redhat offering built-in container managemen

AboutSource codeOnly the XMPP server is used to implement openfire and swift. Think about the stagnation of swift learning during this period, and feel that "if you want to learn the principle of something, you must first use it ", this will increase the understanding of the function processing process to a certain extent and resonate with the source code reading. For Swift API learning, because you have not found any reference system, there is no link on the official document homepage, theref

automatic loading, event-driven, document systems, caching, templates, internationalization, databases, Web services, payment gateways, loading, and cloud service technologies. To give us the best option, he has implemented the existing functions with Google services (Youtube, Drive, Contacts, Analytics, Checkout, Maps), Facebook (Facebook), Twitter (tweet), TUMBLR (Light blog), PayPal (PayPal), Authorize.Net, FedEx (FedEx), UPS (United Parcel Service company), Amazon +

Original article:Http://www.yeeyan.com/articles/view/pestwave/26832 Rackspace recently released a survey on cloud hosting. The company visited 1500 British and U.S. small and medium-sized companies and asked if they knew what cloud hosting was and whether they planned to use cloud hosting in the future. The results are surprising. The most important finding is that there is a big gap between small and medium-sized enterprises in their acceptance of c

Background and overviewSwift was originally a highly available distributed object Storage service developed by Rackspace, and in 2010 contributed to the OpenStack open source community as one of its initial core sub-projects, providing virtual machine image storage services for its Nova subproject. Swift is built on a less expensive standard hardware storage infrastructure, eliminating the need for RAID (redundant array of disks), enabling high availa

: Ubuntu Server.Like Rhel and SLEs, Ubuntu also offers technical support and product certifications, but its resource reserves are not as rich as Red Hat and SuSE. On the other hand, however, Ubuntu is easier to manage when performing simple server tasks. Linux server systems best suited to expert users Arch Gentoo Debian Fedora If you have a deep interest in cloud computing, don't forget that Ubuntu (as well as Rhel) can connect with OpenStack in depth. In additi

, tracking, reporting, and so on. Patching systems are similar to fire extinguishing, where users should isolate worms or viruses on the network segment before initiating the patching process. Rackspace's CTO, Mr. Engates, believes that patching routers and firewalls are very similar to the version of the upgrade software. The company is staffed by a network engineer to track vulnerabilities in firewalls and routers. After a patch is identified, the engineer notifies the IT director that if the

https://major.io/2010/12/07/tap-into-your-linux-system-with-systemtap/December 7, by Major Hayden 4 Comments One of the most interesting topics I's ve seen so far during my RHCA training at Rackspace this week Issystemtap. In short, SystemTap allows-dig out a bunch of details about your running system relatively easily. It takes scripts, converts them to C, builds a kernel module, and then runs the code within your script.Hold it:the steps below is de

Configuration File system configuration file in config/filesystems.php file, here we create a new uploads local disk space for storing uploaded files, specific configuration items and descriptions as follows: return [ /*|--------------------------------------------------------------------------| Default filesystem Disk|--------------------------------------------------------------------------|| Here/May specify the default filesystem disk that should to be used| By the framework. A "local"

retrieved from the queue, and the mail sender is called to complete the processing. after the message is successfully sent, the message is destroyed and the message content is inserted into the database (same case 2 ), if the message fails to be sent, put the message in the queue again and add a 60-second delay mark, meaning that the message will be retrieved and processed after 60 seconds. In this way, the throughput and response speed of the entire system will be greatly improved, and the sy

API-related work is challenging, and maintaining the stability and robustness of the system at peak times is one of the reasons why we do a lot of stress testing at Mailgun. Over the years, we've tried many different ways, from simple apachebench to more sophisticated custom test sets. But this post is a way to use Python for "fast rough" but very flexible stress testing.When using Python to write HTTP clients, we all like to use the requests library

Mailgun's free mail delivery service to fill the Mailgun SMTP configuration into the configuration.Nginx Anti-generation/etc/nginx/sites-availableCreate a new file in, and write the following to the file.server { server_name domain name or IP; Listen 80; # or 443, if you use HTTPS # SSL on; whether to enable encrypted connection # If you use HTTPS, you also need to fill in the Ssl_certificate and Ssl_certificate_key location /{# If you

Use PHP to implement an AmazonSES proxy server Understanding this article requires you to have a certain foundation of SES, if you do not understand, you can see the discussion of http://segmentfault.com/q/1010000000095210 in this question SES is short for Simple Email Service, which is a Mail basic Service launched by Amazon. As part of AWS basic services, it inherits the traditional advantages of AWS --Cheap.Yes, it's really cheap. This is why I didn't use

encapsulation of HTTP (response) response, and the good support of JSON format; If so, I would recommend it to you: Slim Bullet More lightweight small frames to search REST by themselves. However, it is not to say that since you want to see other people's code to learn, then it should be with the purpose and doubt to be better. So it's a good idea to take a look at some RESTful API designs like GitHub, Mailgun, enchant, and so on. In

How does this tell if it was sent successfully? \Mail::raw('Text to e-mail', function($message){ $message->from('from@163.com', '163'); $message->to('test@qq.com')->subject('Welcome!');}); Reply content: How does this tell if it was sent successfully? \Mail::raw('Text to e-mail', function($message){ $message->from('from@163.com', '163'); $message->to('test@qq.com')->subject('Welcome!');}); The default has a return value. The Send status is judged based on the return value.

network framework and an asynchronous network library. Pulsar–python Event-driven concurrency framework. Diesel–python Green-Event-based I/O framework. gevent– a Greenlet-based Python network library that uses the. Eventlet– has an asynchronous framework supported by WSGI. tomorrow– the wonderful modifier syntax for asynchronous code. Queue celery– Asynchronous task queue/job queue based on distributed message delivery. huey– Small multithreaded task queue.

delay token is added, which means that the processing is removed after 60 seconds. This improves the throughput and responsiveness of the entire system, and also allows the system to support the ability to run distributed. Each worker process can be treated as a processing node, and if the worker is dispersed on a different server, the distributed processing of the whole system is realized, which is one of the important features of the queue. In my actual project still do a lot of improvement

-Event-based I/O framework.gevent– a Greenlet-based Python network library that uses the.Eventlet– has an asynchronous framework supported by WSGI.tomorrow– the wonderful modifier syntax for asynchronous code.0x09 queuecelery– Asynchronous task queue/job queue based on distributed message delivery.huey– Small multithreaded task queue.MRQ–MR. queue– uses the Python distributed task queue for Redis Gevent.rq– a lightweight, Redis-based task Queue Manager.Simpleq– is a simple, infinitely extensibl

-Event-based I/O framework.gevent– a Greenlet-based Python network library that uses the.Eventlet– has an asynchronous framework supported by WSGI.tomorrow– the wonderful modifier syntax for asynchronous code.0x09 queuecelery– Asynchronous task queue/job queue based on distributed message delivery.huey– Small multithreaded task queue.MRQ–MR. queue– uses the Python distributed task queue for Redis Gevent.rq– a lightweight, Redis-based task Queue Manager.Simpleq– is a simple, infinitely extensibl

–python Event-driven concurrency framework. Diesel–python Green-Event-based I/O framework. gevent– a Greenlet-based Python network library that uses the. Eventlet– has an asynchronous framework supported by WSGI. tomorrow– the wonderful modifier syntax for asynchronous code. Queue celery– Asynchronous task queue/job queue based on distributed message delivery. huey– Small multithreaded task queue. MRQ–MR. queue– uses the Python distributed task queue for Red