![]() SNS is generally sufficient for most use cases. Similarly to the above point, you can use the AWS JS SDK to send a message to a queue, and set up a separate lambda, perhaps on a schedule via AWS EventBridge, to poll the queue and pull messages from it. Amazon provides documentation on how to integrate Lambda with SQS. Or perhaps you need to carefully throttle how much of this offloaded work is being done at one time. Perhaps the order of work being offloaded matters. queue pattern using Amazon SQS: offload longer-running tasks to an SQS queue, from which you can consume in more sophisticated ways. ![]() You can use the AWS JS SDK to publish messages to an SNS topic from your bolt handler, and then read the linked documentation to see how to set up a separate lambda to subscribe to messages arriving in the SNS topic. Amazon has an example of this pattern described. This tells ack to identify all relevant files in the repository, without any search pattern. Here, the ack command runs with the -f option. You can achieve this using the following command: ack -f wc -l. This offloading, especially with SNS, is cheap: it doesn't cost much nor does it consume much time to publish to a topic. A basic usage of ack is simply getting a count of the relevant files in a source code directory. An easy solution is to summarize the task and offload it to another system for processing. Perhaps you need to do data analysis on an incoming Slack message event, or save data to a database, or do any other task that may take longer than 3 seconds. This is a relatively simple pattern that allows you to decouple longer-running tasks from the Slack HTTP request. ![]() publish/subscribe pattern using Amazon SNS: have your bolt handler publish data asynchronously to an SNS topic, and have another lambda subscribe to events from this topic.I highly suggest familiarizing yourself with techniques such as: I would recommend to employ event-driven programming best practices, which are a necessity in a cloud environment and particularly in a function-as-as-service architecture. However, there are many well-documented ways to work around this limitation, and in fact, make your application more resilient as a result. This is limitation of HTTP request integrations with AWS Lambda. The ACK development kits come with a custom development board with an integrated ACK module that provides connection with Alexa and the ACK. Therefore, the acknowledgement to the request from Slack is done as a final step in the Lambda execution. The timeout is short so that the user experience within the Slack client is relatively responsive to Slack client user since the HTTP request from Slack is tied to the lifecycle of the AWS Lambda execution, immediately responding to the HTTP request would effectively terminate the Lambda.
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