Linux

Not every second Friday, but still… We have two mainstream approaches

Here’s a set of instructions on How to Configure to Run any Executable as a Service in Linux with Systemd.

DeepSeek’s first-generation of reasoning models with comparable performance to OpenAI-o1, including six dense models distilled from DeepSeek-R1 based on Llama and Qwen.

Some time ago I described how to Deploy Flutter project with backend to AWS Amplify.

SearXNG is a free and open-source federated metasearch engine that was forked from Searx. The SearXNG project on github has more then 15k stars.

Use PyInstaller to package Python programs as standalone executables. It works on Linux, Windows, and Mac.

Not the most efficient way, but usable.

Here I list steps needed to implement pair of lambda functions in AWS SAM:

1. REST API Lambda: send message to SQS
2. SQS Lambda Trigger: process message from SQS

These are the step-by-step instructions on how to add layers to AWS Lambdas - in Python. Will be using base code generated by standard HelloWorld template example.

Here is the list and examples of the most useful Ollama commands (Ollama commands cheatsheet) I compiled some time ago. Hopefully it will be useful to you.

Not long ago was released. Let’s catch up and test how Mistral Small performs comparing to other LLMs.

LaTeX is a software system for document typesetting (designing high-quality text page). The resulting document format in PDF probably will be looking better then if created with MS Word. Have a look! A feast for the eyes.

Integration systems could be Commercial with a lot of paid connection modules and a bit of free ones; Or kind of free but with some strange license; Or ready for self-hosting and not.

Here’s a Conda Cheatsheet I’ve compiled some time ago… This Conda Cheatsheet is covering the most essential commands and tips for managing environments, packages, and channels I’ve found useful.

Howto: installing Kubernetes using Kubespray, including setting up the environment, configuring the inventory, and running the Ansible playbooks.

Here is my k8s cheat sheet covering kubenetes most important commands and concepts from installing to running containers and cleaning up: