The CDK Book The CDK Book “A Comprehensive Guide to the AWS Cloud Development Kit” is a book by Sathyajith Bhat, Matthew Bonig, Matt Coulter, Thorsten Hoeger written end of 2021. Because the CDK itself is polyglott with jsii, the TypeScript examples are automatically translated in other languages. So the example CDK code used in the book is jsii generated, and there are samples for TypeScript, Python, Java and C#.

Over many years, we have now read warnings about the exhaustion of available IPv4 addresses. So far, there still seem to be ways and ideas on how to extend their lifetime (by approaching large organizations, using NAT, re-dedication of 240.0.0.0/4, and so on). Switching over to the much-dreaded IPv6 sounds easy, but even minor things can still cause problems. So what is the current state of AWS with this topic? And how did the landscape change during re:Invent 2021?

This post explains how you can ingest data from a MQTT broker such as VerneMQ into your data lake via IoT Core and Kinesis Data Firehose. We’ll set up a data processing pipeline from start to finish in Terraform.

Comparing the development methodology of a monolithic program to a Serverless IAC application you will see that the power of DevOps lies in automating everything. I will show you a working example of a serverless CI pipeline with automated unit, integration and end2end test and test reports in CodeBuild. The full source is written GO, with references to Node.JS and python for the test parts.

AWS launched re:Post as a successor to the AWS forums and it looks suspiciously similar to stackoverflow. In this post I take a first look at the platform and try to find out if it’s good enough to drive traffic away from stackoverflow.

Logfile analytics with Spark is tricky. One of the common problems are multi-line logs. In this post I explain to you how you can use PySpark to get your multi-line logs into a structured data frame.

Over the last years, demands and expectations on data security have increased dramatically. The main drivers are local data privacy regulations like the EU-GDPR, which imply awareness of sensitive data and an overview of potential risks. Amazon has offered its service Macie in 2017, added new capabilities lately, and is doing a great job with data on S3. But how do you include your EFS/FSx file shares and RDS databases to eliminate blind spots? Meet NetApp Cloud DataSense.

Recently, I got a bug report for the kitchen-vcenter driver, which allows lifecycle management of testing VMs on VMware vCenter environments. Apparently, a customer tried to create a VM without any network interface. The problem was that this crashed in a very unintuitive way. But it made me wonder: Would it be possible to use non-networked machines for tests? It turns out: That’s absolutely possible!