aws-sdk-go-v2 VS microk8s

It turns out that the AWS SDK for go, aws-sdk-go-v2, released some breaking changes that are unrelated to S3 Express One Zone. You can read more about these changes here.

AWS S3 official documentation AWS S3 official examples

assume_role_with_mfa is a handy small MFA GUI tool from Cristian Magherusan-Stanciu designed to be used as credential_proces for AWS CLI configuration profiles. This is a workaround for the official AWS MFA setup, that works for the CLI but does not work for the Go SDK, as reported at aws-sdk-go-v2/#2356.

In this blog post, you will be using the aws-lambda-go library along with the AWS Go SDK v2 for an application that will process records from an Amazon SNS topic and store them in a DynamoDB table.

This blog post is for folks interested in learning how to use Golang and AWS Lambda to build a serverless solution. You will be using the aws-lambda-go library along with the AWS Go SDK v2 for an application that will process records from an Amazon Kinesis data stream and store them in a DynamoDB table. But that's not all! You will also use Go bindings for AWS CDK to implement "Infrastructure-as-code" for the entire solution and deploy it with the AWS CDK CLI.

The trouble with importing modules from within the same repository is that Go modules won't be able to work out where to download them from. The require directives I mentioned are used extensively by aws-sdk-go-v2 if you're interested in an example.

You may prefer https://github.com/aws/aws-sdk-go-v2 .

I ran into it by switching from aws-sdk-go to aws-sdk-go-v2 and the binary jumped from 27Mb to 66Mb [1]

Granted fully featured app will likely use all of the module's code so it's not a factor.

[1] https://github.com/aws/aws-sdk-go-v2/discussions/1532

If you want hands-on practice you should have a running Kubernetes cluster (I used MicroK8s for this tutorial) and Helm (see how to install on Installing Helm tutorial). It is important that you understand the basics of these tools to fully understand.

And install microk8s:

MicroK8s is a lightweight, batteries included Kubernetes distribution by Canonical designed for running edge workloads which also happens to be developer-friendly and a great choice for building your own homelab. The following lab covers how to install and run MicroK8s on your own edge node running Ubuntu 22.04 LTS, deploy the NGINX web service and exposing your NGINX website to the Internet with SSL/TLS enabled using AWS resources included within the Free Tier.

One quick and easy win I can recommend, is microk8s.

I had the same problem (and there's a github issue about this: https://github.com/canonical/microk8s/issues/2186). I swapped to k3s and the usage was half of what microk8s used.

microk8s currently has a showstopping issue that makes it guaranteed to have an irrecoverable failure in HA mode. see https://github.com/canonical/microk8s/issues/3227

k0s is better but also has a lot of bugs. it's the closest to vanilla kubernetes among all the distributions.

> like the simplest GPU support

linux users should be ready to install the nvidia device plugin. if they can't do that, they're never going to succeed in running a gpu accelerated application on their cluster anyway.

> like bootstrapping

in my experience, writing all the bootstrap scripts is painful. but now that there's chatgpt, so much of the drudgery as gone away.

MicroK8S to spin up a Kubernetes cluster

They now power my microk8s/x86 cluster (in addition to my 8-node Raspberry Pi4 ARM64 microk8s cluster), microceph cluster and my LXD cluster, and all are configured with WOL, so I can bring up the cluster from any machine in the homelab, on demand.