DevSecOps vs. Chaos: Testing Amazon Q in the Real World (and Nothing Perfect)

DevSecOps vs. Chaos: Testing Amazon Q in the Real World (and Nothing Perfect) Event: DevSecOps Technical Event Date: September 29, 2025 Location: Online Duration: 45 minutes Audience: DevOps Engineers, Security Engineers, Developers ๐Ÿ“‹ About the Talk ๐Ÿ’ก What happens when we put Amazon Q to solve real problems in messy environments? In this presentation, I demonstrate in practice how Amazon Q behaves when confronted with reality: broken pipelines, misconfigured settings, and security risks. With humor, live demos, and real-world lessons, we explore the limits and possibilities of AI in real-world DevSecOps scenarios. ...

September 29, 2025 ยท 3 min ยท 429 words ยท Matheus Costa

Running LLMs Locally with Ollama: Privacy and Performance

Why Run LLMs Locally? With the growth of Large Language Models (LLMs), the need to run them locally arises for reasons such as: ๐Ÿ”’ Privacy: Sensitive data never leaves your environment ๐Ÿ’ฐ Cost: No per-token or API call fees โšก Latency: Faster responses without internet dependency ๐ŸŽ›๏ธ Control: Full model customization What is Ollama? Ollama is a tool that simplifies running LLMs locally, offering: Simple CLI interface Support for multiple models Built-in REST API Automatic resource management Installation and Setup 1. Installation on Linux curl -fsSL https://ollama.ai/install.sh | sh 2. Installation on macOS brew install ollama 3. Installation on Windows Download the installer at ollama.ai ...

July 16, 2025 ยท 3 min ยท 625 words ยท Matheus Costa