A recurring task when provisioning databases is to initialize them with initial users, stored procedures, and/or tables.
In the CDK world, there is currently no native support for this, but there are some workarounds. AWS has a blog post about this, but it’s using a Lambda function, and a bunch of custom code which seemed like too much operational overhead for me.
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Having defined what is serverless and what not in the last article, this time let’s have a look at one particular characteristic of serverless systems: they can scale to zero also known as: you don’t pay for idling resources. So let’s discuss why this is actually very important.
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Setting up Amazon Aurora as a replica of an external MySQL primary is a common way of synchronizing and/or migrating self-managed MySQL databases to RDS/Aurora.
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Recently I was trying to restore a Aurora database from an Percona xtrabackup, the de-facto industry standard for backing up self-managed MySQL databases. Luckily, RDS and Aurora natively support restoring a cluster from Percona xtrabackups. This comes very handy for migrations of big databases (For more information, check out the docs and this prescriptive guidance article from AWS).
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For me, serverless has become the default model of developing backend applications.
However, a meeting a few weeks ago was a reminder for me that not the entire world is embracing serverless applications already: I had the task to design an “Energy Data Importer”, an application that collects time series data from different locations, sanitizes and transforms them and stores them in a database for later lookup. So I went ahead and sketched the application with AWS serverless building blocks and patterns.
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There is a lot of buzz and marketing around the term “serverless”. This article aims to dismantle what’s serverless and what not - with practical examples.
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You want to upload a file to S3 with Axios and the PUT method.
S3 needs a Content-Length for PUT requests, otherwise it throws an 501.
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When we begin doing some things in AWS, we usually start with a single AWS account and create our AWS resources in it. And things can become a mess very fast. This article should give you an overview why you should switch to a using multi-account architecture very soon for workloads on AWS.
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This is an annotated transcription from Paul O’Neill’s talk on leadership - in my opinion the most powerful and inspiring talk I have ever seen on leadership. I decided to transcribe it (well, Youtube did the most work with its automatic subtitles feature), because there are so many great quotes in it and I wanted to have it as a source for myself, e.g. for futures articles, so I always have a written reference.
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A recent challenge for one of the teams I am currently involved was to find a way in AWS CloudWatch:
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