Amazon Elastic Compute Cloud (Amazon EC2) is a web service provides secure, reliable, scalable, and low-cost computational resources. It gives developers the tools to build virtually any web-scale application.
Amazon SQS is a fully managed message queuing service. It offers reliable, highly scalable, reliable messaging and transaction processing that lets you decouple tasks or processes that must communicate.Amazon SQS Integrations
Amazon EC2 + Amazon SQSCreate Queue to Amazon SQS from New Scheduled Event in Amazon EC2 Read More...
Amazon EC2 + Amazon SQSCreate Message to Amazon SQS from New Scheduled Event in Amazon EC2 Read More...
Amazon EC2 + Amazon SQSCreate JSON Message to Amazon SQS from New Scheduled Event in Amazon EC2 Read More...
Amazon EC2 + Amazon SQSCreate Queue to Amazon SQS from New Instance in Amazon EC2 Read More...
Amazon EC2 + Amazon SQSCreate Message to Amazon SQS from New Instance in Amazon EC2 Read More...
It's easy to connect Amazon EC2 + Amazon SQS without coding knowledge. Start creating your own business flow.
Triggers when a new instance is created.
Triggers when a new event is scheduled for one of your instances.
Triggers when you add a new queue
Start Stop or Reboot Instance
Create a new JSON message using data from the source trigger
Create a new message.
Create a new queue
Amazon Elastic Compute Cloud (Amazon EC2. is a web service where users can rent virtual servers on demand. Amazon Simple Queue Service (Amazon SQS. is a web service that allows users to create, send, receive, and read messages from queues. The integration of Amazon EC2 and Amazon SQS is a computer technology that allows users to communicate with each other via Amazon SQS.
Amazon EC2 is a web service where users can rent virtual servers on demand. A virtual server is also called an instance. There are two types of instances. standard and spot. A standard instance is used for general purpose computing and costs a flat rate every hour. A spot instance is used for general purpose computing, but the cost of running a spot instance changes frequently. Users bid on unused Amazon EC2 spot instances and if the bid exceeds the current price then the user can use the spot instance. Users can create new instances from Amazon Machine Images (AMIs. An AMI is a template that contains the software, configuration, and data that will be needed when launching an instance. Every Amazon EC2 instance has its own private IP address. When one launches an instance, it will be running in an Amazon Virtual Private Cloud (Amazon VPC. An Amazon VPC is network that exists within the Amazon cloud environment and is isolated from all other networks, except those permitted by the user. The user can configure security groups which define rules for incoming and outgoing traffic such as the IP addresses of allowed sources for incoming TCP or UDP traffic, protocols, port numbers, and source and destination ports. The user will be charged according to storage consumed by their applications on an hourly basis, but the charge will not exceed the maximum monthly price. Storage pricing is based on three metrics. provisioned storage, utilized storage, and available storage. If a user's application requests more storage than what they have provisioned for it, then the extra storage will be billed at the same rate as provisioned storage for the first month and then billed at double the provisioned storage rate for all months after. If a user's application uses less storage than what they have provisioned for it, then the difference between provisioned storage and the amount of storage actually used is credited back to them until it reaches zero or the maximum monthly price is reached.
Amazon SQS is a web service that allows users to create, send, receive, and read messages from queues. A queue is a repository for messages that have been sent by an application or generated by other applications. Messages are stored in queues until they are retrieved by an application. Messages are stored within the region in which they were sent or received. Messages are deleted from queues after they have been read or after they have expired. Messages sent to a queue can be up to 4KB in size. Messages received by applications are automatically decoded from JSON format into objects and vice versa. There are three types of queues. standard queues, FIFO queues, and message queues. A standard queue can hold up to 2 million messages and each message can be up to 4KB in size. A FIFO queue can hold up to 40,000 messages but each message can only be up to 4KB in size. A message queue can hold up to 150 messages and each message can be up to 4KB in size. Messages sent to a standard queue can be retrieved by any application that has been granted permission to do so, while messages sent to FIFO and message queues can only be retrieved by the application that sent them or by applications that have been granted permission to do so.
Users can integrate Amazon EC2 and Amazon SQS together to improve AWS security features. encryption of data at rest and encryption of data in transit. Encryption of data at rest is done via EBS volumes encrypted by using data volumes keys (DVKs), KMS-managed customer master keys (CMK), or customer-provided CMKs. Encryption of data in transit is done via HTTPS connections which are secured using TLSv1/TLSv1.1/TLSv1.2 protocols with AES256 encryption algorithm in cipher block chaining mode with SHA1 hash function or AES128 encryption algorithm in cipher block chaining mode with MD5 hash function or AES256 encryption algorithm in cipher block chaining mode with SHA256 hash function or AES128 encryption algorithm in cipher block chaining mode with MD6 hash function. B. Benefits of Integration of Amazon EC2 and Amazon SQS
Users can integrate Amazon EC2 and Amazon SQS together to improve performance and increase reliability by reducing redundant work done by multiple applications. eliminating polling loops between applications by using queues as a communication system between applications instead of HTTP requests; if one application needs information from another application via HTTP requests then there will be a lot of redundant HTTP requests made because many applications require the same information; if one application needs information from another application via queues then there will only be a few unnecessary HTTP requests made because only one application requires the same information.
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