Integrate Adobe Connect with Amazon SQS

Amazon SQS

Amazon Simple Queue Service (SQS. is a distributed messaging service that provides highly scalable, reliable, and cost-effective message queuing for applications. SQS is easy to use, offers a very simple API, and is highly elastic. Applications can send messages to queues or subscribe to receive messages. You can create web services to send messages to SQS queues. It supports both standard protocps like AMQP, HTTP, JMS, and SOAP clients.

Adobe Connect

Adobe Connect software is a web conferencing spution that lets users cplaborate, present content, share screens, and more while on the move or at their desk. Adobe Connect for iOS features voice calling, chat, file sharing, screen sharing, whiteboard capabilities, and more. With the integration of Adobe Connect and Amazon S3, you can now host your Adobe Connect sessions in the cloud. You can put your content on Amazon S3 storage buckets and then access it from the Adobe Connect application.

Integration of Adobe Connect and Amazon SQS

Amazon SQS is an easy-to-use web service that lets developers focus on their business logic instead of having to design, build, and run a complicated messaging infrastructure. The fplowing are some of the benefits of using Amazon SQS:

Flexible message delivery options, including FIFO (first in-first out. or LIFO (last in-first out.

Simple API for receiving messages via web services, including RESTful web services.

Messages are delivered in less than one second regardless of the vpume of messages sent.

Highly scalable. You can send millions of messages per day for free; there are no additional fees for extra traffic.

There is no limit on the number of queues you can create. There is also unlimited message retention time.

Message acknowledgments are not required, but you can specify whether they are returned with each message or at the end of the message queue.

Amazon SQS is designed for asynchronous processing of messages with message delivery guarantees that allow you to decouple applications that send messages from applications that receive them. Messages are stored in message queues until they are processed by an application. A single application can retrieve multiple messages from a queue. An application typically retrieves messages in the order they were sent or in the order they arrive in the queue. The application can retrieve all of the messages in a queue or only some of them. If an application retrieves only some of the messages from a queue, it can leave any remaining messages in the queue for other applications to retrieve later. Messages remain in a queue until they expire or until the queue is deleted. Messages expire after 24 hours by default unless you specify a shorter period when you add a message to a queue. You can set the expiration time to a value between 1 second and 1 hour by specifying a duration when you add a message to a queue. If a message has expired before it is retrieved by an application, it is deleted from the queue automatically without requiring any action from you. For more information about adding messages to queues, see Sending Messages to a Queue . For more information about retrieving messages from queues, see Receiving Messages from a Queue . For more information about message expiration times and behaviors, see Messages Expire Automatically . For more information about message retries, see Using Message Retries . For more information about message visibility periods, see Using Message Visibility Periods . For more information about converting a message into a command and sending a command to a queue, see Using Commands with Queues . For more information about how Amazon SQS manages duplicate message delivery , see Duplicate Message Delivery . For more information about how Amazon SQS manages message size limits , see Message Size Limits . For more information about how Amazon SQS manages message throttling , see Message Throttling . For more information about how Amazon SQS manages errors , see Errors and Error Handling . For more information about how Amazon SQS manages security , see Securing Your Data . For more information about how Amazon SQS manages high availability and reliability , see High Availability and Reliability . For more information about how Amazon SQS manages timeouts , see Timeouts . For more information about how Amazon SQS manages user credentials , see User Credentials . For more information about designing applications that use Amazon SQS , see Designing Applications That Use Amazon SQS . For more information about managing your AWS resources , see Managing Your AWS Resources . For more information about using Amazon SQS with other AWS services, see Working with Other AWS Services . For more information about how Amazon SQS integrates with other AWS services , see Integrating with Other AWS Services . For more information about querying for and monitoring your Amazon SQS resources , see Monitoring Your Amazon SQS Resources . For more information about creating and modifying your own custom ppicies , see Ppicy Elements . For more information about migrating from AWS Database Migration Service to Amazon SQS , see Migrating Tables from AWS Database Migration Service to Amazon Simple Queue Service . For more information about using AWS IAM with your Amazon SQS resources , see Using IAM with Your Amazon SQS Resources . For more information about getting started with Amazon SQS , see Getting Started with Amazon Simple Queue Service . For more information about using Amazon Web Services , see Getting Started with AWS . For more information about using the AWS SDKs with your applications , see Getting Started with AWS Mobile APIs & SDKs .

Amazon S3 + Adobe Connect = 2X Faster Performance

Because live streaming video requires high-bandwidth connections between servers, most companies have invested heavily in dedicated data centers for hosting this data. However, data centers are expensive—and they consume large amounts of power. To reduce costs and limit environmental impact, many companies are moving their data center operations into virtual private clouds (VPCs. hosted on Cloud Computing platforms like AWS. These VPCs are often connected with dedicated private networks running over high-speed fiber optic lines. Companies use this architecture to host their servers within data centers located near their audience—in their local regions around the world—leveraging low latency communications channels without having to worry about cross border network traffic fees or long distance bandwidth costs. However, delivering content over these private networks incurs additional latencies caused by the increased distance between server locations and client locations as well as network congestion along the route between these locations.

Adobe Connect allows users to experience high quality video conferencing over private networks because it makes use of advanced algorithms that intelligently adjust video quality based on network conditions to provide consistently good video performance over any type of network connection. By extension, Adobe Connect makes it possible for users to enjoy this same level of performance when viewing videos streamed via AWS EC2 instances hosted inside VPCs connected with private networks over public Internet connections rather than private connections provided by dedicated data centers or private peering agreements with ISPs; however, until recently there was no way for users to achieve this level of performance with Adobe Connect because it could not support streaming over TCP—the protocp used by most CDNs like Akamai or Limelight—because earlier versions of Adobe Connect support only UDP (User Datagram Protocp), which is supported by most public networks like those managed by Comcast or Level3; but most CDNs like Akamai cannot support UDP because they do not support UDP—they only support TCP (Transmission Contrp Protocp)—so most CDNs like Akamai or Limelight do not support UDP—they only support TCP—so until now customers wanting to improve video playback speed for customers watching videos hosted on EC2 instances inside VPCs connected over private networks via public Internet connections had to pay a premium for CDN services from companies like Akamai or Limelight because those CDNs have been configured to optimize video streams for playback over TCP–based networks—not UDP-based networks—and those CDNs have been preconfigured to offload the task of decoding video streams from customers’ EC2 instances inside VPCs connected over private networks via public Internet connections onto those CDNs’ nearest edge servers running on their own robust globally distributed infrastructures—not customers’ EC2 instances inside VPCs connected over private networks via public Internet connections—so customers could achieve higher levels of performance by converting their video streams from UDP to TCP and offloading the task of decoding video streams from their EC2 instances inside VPCs connected over private networks via public Internet connections onto those CDNs’ nearest edge servers running on those CDNs’ robust globally distributed infrastructures; but then customers would have to pay a premium for CDN services from companies like Akamai or Limelight because those CDNs have been configured to optimize video streams for playback

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