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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Auf den devopsdays 2015 in Berlin hatten wir eine Open Space Gruppe, die sich mit dem Thema beschäftigte: “Ich lese viele Bücher, Blogs etc, und würde dieses Wissen gerne in das Unternehmen tragen, in dem ich gerade arbeite”. Dabei kam die Idee auf, Lesegruppen zu bilden. Diese Idee fand ich so gut, dass ich sie direkt einmal ausprobiert habe.
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