tecRacer Amazon AWS Blog

The blog about Amazon Web Services by the AWS Premier Tier Services Partner tecRacer. We share our expertise and passion about technology with the world.

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Airgapped Testing - VMware Edition

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

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Chef Technology Partner of the Year

To our pleasant surprise, Chef awarded tecRacer the “2021 Technology Partner of the Year” title at the opening keynote of ChefConf 2021.

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Demystifying FinOps in Cloud Computing: A Paradigm Shift Towards Effective Financial Management

In an era where cloud computing is revolutionizing businesses, the rise of a new discipline called FinOps is commanding attention. Financial Operations, or FinOps, brings a financial lens to the operational aspects of cloud computing, enabling organizatio

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Testing Physical Machines with kitchen-static

Testing on Physical Machines with kitchen-static This article shows how to work with Test Kitchen on physical machines using the kitchen-static Driver. If you need to deliver a product (bundle of server and software) instead of just configuration, some ta

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Guest Operations and kitchen-vcenter

Guest Operations and kitchen-vcenter In this part of the blog series, we will look on how to speed up IP discovery of new machines with a little-known feature of the VMware Tools.

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Anpassen von Konfigurationsdateien mit Ausgabewerten von CloudFormation Stacks

Bei der Migration von Anwendungen auf AWS müssen auch die Konfigurationsdateien der Anwendungen angepasst werden.  Auch dabei gilt der Grundsatz “Automatisiere alles”. Doch wie kommen die Daten aus der neu auf AWS provisionierten Infrastruktur

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Streamlined Kafka Schema Evolution in AWS using MSK and the Glue Schema Registry

In today’s data-driven world, effective data management is crucial for organizations aiming to make well-informed, data-driven decisions. As the importance of data continues to grow, so does the significance of robust data management practices. This

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GO-ing to production with Bedrock RAG Part 1

The way from a cool POC (proof of concept), like a walk in monets garden, to a production-ready application for an RAG (Retrieval Augmented Generation) application with Amazon Bedrock and Amazon Kendra is paved with some work. Let`s get our hands dirty. W

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Implementing SAML federation for Amazon OpenSearch Service with KeyCloak

Welcome back to our series on implementing SAML Federation for Amazon OpenSearch Service. In our previous post, we explored setting up SAML Federation using OneLogin. Today, we’ll focus on another popular identity provider - Keycloak. Keycloak is an

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Build Golden AMIs with Packer and AWS CodePipeline

When leveraging AWS services such as EC2, ECS, or EKS, achieving standardized and automated image creation and configuration is essential for securely managing workloads at scale. The concept of a Golden AMI is often used in this context. Golden AMIs repr

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Import existing resources into an AWS CloudFormation Stack

Presentation Deploying resources with infrastructure as code is the recommended way to provision resources in AWS. The native AWS-way of doing it is by using Cloudformation or CDK (Cloud Development Kit), and you should of course do this from day one. But

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Climb the (bed)rock with Python, Javascript and GO

Bedrock is now available in eu-central-1. It’s time to get real and use it in applications. Reading all blog posts about Bedrock, you might get the impression that Python and LangChain is the only way to do it. Quite the opposite! As Bedrock makes c

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SAP HANA High Availability on AWS - How tecRacer helped secure cash register operations for Germanys leading department store chain

Galeria Karstadt Kaufhof and tecRacer have been collaborating on developing Galeria’s Cloud Platform for many years with tecRacer as their Go-To Partner for everything related to AWS. The work we have been doing ranges from designing, setting up and

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Stop LLM/GenAI hallucination fast: Serverless Kendra RAG with GO

RAG is a way to approach the “hallucination” problem with LLM: A contextual reference increases the accuracy of the answers. Do you want to use RAG (Retrieval Augmented Generation) in production? The Python langchain library may be too slow fo

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Teaching boto3 to store floats and datetime objects in DynamoDB

In this blog post, we’ll explore how you can teach the DynamoDB Table resource in boto3 (and the client) to store and retrieve Python’s datetime and float objects, which they can’t do natively. We’ll also discuss why you should or

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