Recently I've been doing more work with Kubernetes and as such I've had to set-up my environment a few times to run Kubernetes, but also maintain some other work I've been doing separately in Docker. Not wanting to run both MiniKube/VirtualBox and the full Docker Desktop installation (including
I've been getting more and more into analytics and ETL tools at work and have spent some time getting my head around how AWS S3, Glue and Athena all integrate to provide a serverless ETL and analytics process. I think it's really cool and so wanted to write about it
Recently I've been working on an authentication and authorization solution for a client where they had a requirement to use Azure AD for both internal and external users while all of their application infrastructure is based in AWS. At a high-level this means that we needed to come up
The following is a brief discussion of an approach to versioning a serverless API on the AWS stack. In this stack the typical serverless API architecture comprises an API within the API Gateway service that has endpoints connected to Lambda functions. These Lambda functions then perform different actions (i.
Recently I've been working to create a bash script that can be used to make a curl request to AWS. Something I thought would be trivial ended up being quite fun to work on, the results of which can be seen in the bash script I've put into Github.
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