Weekly update 24

Hi, welcome to another weekly update! New posts Observability without breaking the bank. In this post, I took a look at Thundra’s new sampling feature and how they can help prevent observability costs from spiralling out of control. Besides the rudimentary sampling methods such as by count and time interval, they also support more intelligent …

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Weekly update 23

Hi, welcome to another weekly update! Welcome Binaris as our sponsor for April! It is my pleasure to welcome Binaris back as the sponsor for this month. Here’s a message from Binaris. In Binaris we deeply believe in the power of serverless and the power of functions. We envision a future where applications are built …

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Weekly update 22

Hi, welcome to another weekly update, I have quite a few new posts for you this week! New posts Making Terraform and Serverless framework work together. In this post I discussed some ways you can reference Terraform-managed resources from the Serverless framework. This is a common challenge presented to teams that are using both Terraform …

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Making Terraform and Serverless framework work together

The Serverless Framework [1] is still the most popular deployment framework for serverless applications. It gives you a convenient abstraction over CloudFormation and some best practices out of the box: Filters out dev dependencies for Node.js function. Update deployment packages to S3, which lets you work around the default 50MB limit on deployment packages. Enforces …

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Weekly update 21

Hi, welcome to another weekly update. Designing serverless applications with AWS Lambda I’m running a live online training session with O’Reilly on April 15th and 16th. The session would provide some hands-on exercise for getting started with AWS Lambda and the Serverless framework, and provide you with the tools you need to design serverless applications …

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Understanding the scaling behaviour of DynamoDB OnDemand tables

Update 15/03/2019: Thanks to Zac Charles who pointed me to this new page in the DynamoDB docs. It explains how the OnDemand capacity mode works. Turns out you DON’T need to pre-warm a table. You just need to create the table with the desired peak throughput (Provisioned), and then change it to OnDemand. After you change the table to OnDemand …

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