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Wow, that title is a mouthful. Here's what it means: * You can use AWS SAM to easily construct at Serverless Application on AWS where the AWS Lambda code is written in Go * You can deploy your app to AWS from the CLI with sam deploy which is nice when you
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A while back I created a repo on GitHub that was simply the output of doing sam init and choosing the AWS Quick Start Template for a Hello World Example. From there, I simplified the SAM template.yml file a little, restructured the folder where all my Go code lives,
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While working on my chat-cli program, I realized that waiting for a response from Amazon Bedrock could take some time, depending on the nature of your prompt. To offer a better user experience, I looked into the InvokeModelWithResponseStream API method, which allows you to receive the response from Bedrock in
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In yesterday's post I talked about building an Amazon Bedrock powered CLI that allowed for an interactive chat. Below is more or less the code I started with to create the command line chat. As you can see, there is an infinite loop nested within another infinite loop. One of
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chat-cli is a project I've been working on for the past couple months. It started out as a way to kick the tires on the now publicly available Amazon Bedrock service, and also as a way for me to learn a bit more about Go, and the AWS SDK for
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AWS App Runner was launched in 2021, and offers developers an incredibly easy way to deploy web applications.
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I think Go has taken a really smart approach to package and dependency management by simplifying things, removing the need for a complex package manager, and creating a global namespace.
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I've been getting going with Go for about a week now and I've already learned so much! I realized last weekend that I had two primary interests I want to focus on throughout my journey. The first is that I really want to learn the language itself, and get to
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Even though I've got some experience with Go, I'm gonna set out on this journey as if I'd just learned of Go today.
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So, now that the dust has settled, and I have some time to set up a more efficient method for backing up my Mastodon server, I figured I'd try simply dumping my PostgresSQL database and saving it to S3.
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Yesterday I took a poll to find out what would be most interesting to write about. I will abide by this poll.
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I worked this out a while back using TypeScript, but for some reason I decided I needed to redo this in Python. So, here it is. This is simply a CDK application that deploys an Amazon DynamoDB table called “Tickets” as well as a single AWS Lambda function with a
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Mastodon appears to be a really good copy machine, and makes cache copies of all kinds of image files, videos, and avatars based on the accounts you follow.
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In the end, I wound up with this nice looking custom dashboard in CloudWatch and a few alarms set up to monitor the metrics I decided were critical.
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I’ve been pretty Mastodon-curious for a couple weeks now, and after spending some time tinkering with an account I set up back in 2018 on mastodon.social, I decided to explore setting up my own instance. These are my notes.
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There are many, many excellent client applications available for connecting to an Amazon Simple Storage Service (S3) Bucket from macOS. Over the years, I’ve used plenty of them. But, I haven’t been able to find a good one that is also compatible with connecting via temporary credentials issued