In the first part, we covered the basics of AWS OpenSearch Service in general and the types of instances for Data Nodes – AWS: Getting Started with OpenSearch Service as a Vector Store. In the second part, we covered access, AWS: Creating an OpenSearch Service Cluster and Configuring Authentication and Authorization. Now let’s write… Read More »
Ephemeral resources and write-only arguments appeared in Terraform a long time ago, back in version 1.10, but there was no opportunity to write about them in detail. The main idea behind them is not to leave “traces” in the state file, which is especially useful for passwords or tokens, because the data only exists during… Read More »
We are currently using AWS OpenSearch Service as a vector store for our RAG with AWS Bedrock Knowledge Base. We will talk more about RAG and Bedrock another time, but today let’s take a look at AWS OpenSearch Service. The task is to migrate our AWS OpenSearch Service Serverless to Managed, primarily due to… Read More »
In the previous part, AWS: Getting Started with OpenSearch Service as a Vector Store, we looked at AWS OpenSearch Service in general, figured out how data is organized in it, what shards and nodes are, and what types of instances we actually need for data nodes. The next step is to create a cluster… Read More »
In the previous part – Arch Linux: installation in 2025 – disks, encryption, system installation – we installed the system itself, now we’ve gotten around to the working environment. Let’s go through the general settings of Arch Linux (more precisely, any Linux), then talk about the choice of Desktop Environments, and actually install and… Read More »
We use two systems for collecting logs in the project: Grafana Loki and VictoriaLogs, to which Promtail simultaneously writes all collected logs. We cannot get rid of Loki: although developers have long since switched to VictoriaLogs, some alerts are still created from metrics generated by Loki, so it is still present in the system.… Read More »