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@@ -144,6 +144,8 @@ JobsLambda:
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Properties:
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Queue: !GetAtt JobsQueue.Arn
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BatchSize: 1
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FunctionResponseTypes:
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- ReportBatchItemFailures
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MemorySize: 1792
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PackageType: Image
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Policies:
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Here are some key aspects of our `JobsLambda` resource above:
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- The `Events` property uses the [SQS Type](https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/sam-property-function-sqs.html).
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- Our [BatchSize](https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/sam-property-function-sqs.html#sam-function-sqs-batchsize) is set to one so we can handle retrys more easily without worrying about idempotency in larger batches.
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- The [BatchSize](https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/sam-property-function-sqs.html#sam-function-sqs-batchsize) can be any number you like. Less means more Lambda concurrency, more means some jobs could take longer. The jobs function `Timeout` must be lower than the `JobsQueue`'s `VisibilityTimeout` property. When the batch size is one, the queue's visibility is generally one second more.
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- You must use `ReportBatchItemFailures` response types. Lambdakiq assumes we are [reporting batch item failures](https://docs.aws.amazon.com/lambda/latest/dg/with-sqs.html#services-sqs-batchfailurereporting). This is a new feature of SQS introduced in [November 2021](https://docs.aws.amazon.com/lambda/latest/dg/with-sqs.html#services-sqs-batchfailurereporting).
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- The `Metadata`'s Docker properties must be the same as our web function except for the `DockerTag`. This is needed for the image to be shared. This works around a known [SAM issue](https://github.com/aws/aws-sam-cli/issues/2466) vs using the `ImageConfig` property.
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- The jobs function `Timeout` must be lower than the `JobsQueue`'s `VisibilityTimeout` property. When the batch size is one, the queue's visibility is generally one second more.
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🎉 Deploy your application and have fun with ActiveJob on SQS & Lambda.
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- `retry`- Overrides the default Lambdakiq `max_retries` for this one job.
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## Concurrency & Limits
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AWS SQS is highly scalable with [few limits](https://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/sqs-quotas.html). As your jobs in SQS increases so should your concurrent functions to process that work. However, as this article, ["Why isn't my Lambda function with an Amazon SQS event source scaling optimally?"](https://aws.amazon.com/premiumsupport/knowledge-center/lambda-sqs-scaling/) describes it is possible that errors will effect your concurrency.
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To help keep your queue and workers scalable, reduce the errors raised by your jobs. You an also reduce the retry count.
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## Observability with CloudWatch
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Get ready to gain way more insights into your ActiveJobs using AWS' [CloudWatch](https://aws.amazon.com/cloudwatch/) service. Every AWS service, including SQS & Lambda, publishes detailed [CloudWatch Metrics](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/working_with_metrics.html). This gem leverages [CloudWatch Embedded Metrics](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/CloudWatch_Embedded_Metric_Format.html) to add detailed ActiveJob metrics to that system. You can mix and match these data points to build your own [CloudWatch Dashboards](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/CloudWatch_Dashboards.html). If needed, any combination can be used to trigger [CloudWatch Alarms](https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/AlarmThatSendsEmail.html). Much like Sumo Logic, you can search & query for data using [CloudWatch Logs Insights](https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/AnalyzingLogData.html).
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