Recent Articles on the tecRacer AWS Blog

Customer requirements demanded the setup of a SQL Failover Cluster on EC2. Following AWS’s reference setup, I encountered some issues that cost me a couple of hours. In this blog post, I’ll share my experience and the solutions I found, hopefully saving you valuable time and making your journey to set up a SQL 2019 Failover Cluster with Windows Server 2019 on EC2 smoother and more enjoyable.

Lambda@Edge functions are executed in multiple regions around the world, but which ones exactly? In this post we’ll find out together, which will enable us to pre-create log groups and other resources for them.

Your agentic multi-channel, multi-modal GenAI solution idea may be buzz-word-compatible. But to do some expectation management: It will not run as fast as this dog. So, we share some of the tips from our projects on how to speed up your GenAI solution.

Like many organizations, tecRacer uses HubSpot as a CRM. Integrating Hubspot with other (internal) systems enables smooth workflows for everyone involved. Since I recently built a custom integration, I thought it may be helpful to explain how to set up a secure interface with AWS.

To battle security compliance is a challenge, which is besten solved as a team sport. We show you some solutions to win this tug of war, like knowing not only the technical, but also the psychological aspects of the game. This is the way our MSSP works together with you.

Even the best security measures can’t prevent all security incidents. With the right tools, you can detect and respond to incidents quickly. The problem is not anymore that you have no tools at hand but that you have too many. How do you choose the right one?

Opportunity cost is an important economic concept, but sometimes we need to ignore it to learn something. Join me in using a variety of services and tools to figure out what is using my KMS keys and if I can safely delete them.

Retrieval-Augmented Generation (RAG) solutions are an impressive way to talk to one’s data. One of the challenges of RAG solutions is the associated cost, often driven by the vector database. In a previous blog article I presented how to tackle this issue by using Athena with Locality Sensitive Hashing (LSH) as a knowledge database. One the of the main limitations with Athena is the latency and the low number of concurrent queries. In this new blog article, I present a new low-cost serverless solution that makes use of an embedded vector database, SQLite, to achieve a low cost while maintaining high concurrency.