Serverless

You need to sample debug logs in production

It’s common practice to set log level to WARNING for production due to traffic volume. This is because we have to consider various cost factors: cost of logging : CloudWatch Logs charges $0.50 per GB ingested. In my experience, this is often much higher than the Lambda invocation costs cost of storage : CloudWatch Logs charges $0.03 …

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Serverless observability, what can you use out of the box?

part 1 : new challenges to observability part 2 : 1st party observability tools from AWS <- you are here part 3 : 3rd party observability tools part 4: the future of Serverless observability In part 1 we talked about the challenges serverless brings to the table. In this post, let’s look at 1st party tools from AWS …

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how to do fan-out and fan-in with AWS Lambda

In the last post, we look at how you can implement pub-sub with AWS Lambda. We compared several event sources you can use, SNS, Kinesis streams and DynamoDB streams, and the tradeoffs available to you. Let’s look at another messaging pattern today, push-pull, which is often referred to as fan-out/fan-in. It’s really two separate patterns …

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What is the best event source for doing pub-sub with AWS Lambda?

AWS offers a wealth of options for implementing messaging patterns such as pub-sub with Lambda, let’s compare and contrast some of these options. The pub-sub pattern Publish-Subscribe (often shortened to pub-sub) is a messaging pattern where publishers and subscribers are decoupled through an intermediary broker (ZeroMQ, RabbitMQ, SNS, etc.). SNS + Lambda In the AWS ecosystem, the obvious …

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AWS Lambda – monolithic functions won’t help you with cold starts

After my post on monolithic functions vs single-purposed functions, a few people asked me about the effect monolithic functions have on cold starts, so I thought I’d share my thoughts here. The question goes something like this: Monolithic functions are invoked more frequently so they are less likely to be in cold state, while single-purposed …

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Serverless observability brings new challenges to current practices

This is a the first in a mini series that accompanies my “the present and future of Serverless observability” talk at ServerlessConf Paris and QCon London. part 1 : new challenges to observability <- you’re here part 2 : first party observability tools from AWS part 3 : 3rd party observability tools part 4 : the future of Serverless observability 2017 …

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