PinnedIndevgorillabyGrigor Khachatryan·Apr 4, 2024Removing AWS CDK Cross-Stack ReferenceAWS CDK — Dealing with cross-stack reference: this.exportValue(this.bucket.bucketName);A response icon1A response icon1
PinnedIndevgorillabyGrigor Khachatryan·Mar 11, 2024Exploring Localhost and 127.0.0.1: What is the difference?TL;DR: This article explains the difference between “localhost” and “127.0.0.1” and their significance in networking. “localhost” is a…
PinnedGrigor Khachatryan·Jan 29, 2023Docker Best Practices: SecurityDocker is a popular tool for creating and managing containerized applications. However, as with any technology, there are security best…
Grigor Khachatryan·May 25AI Agents in CI/CD: Give Them Context, Not Production AuthorityAI coding agents are showing up in CI/CD pipelines more often. They can review code, suggest fixes, and even deploy. But there’s a problem.
Grigor Khachatryan·Jul 6, 2025Practical Anomaly Detection with Prometheus and PromQLDetect anomalies in Prometheus using PromQL with no external tools. Real-world guide for SREs and platform engineers.A response icon1A response icon1
Grigor Khachatryan·Jun 22, 2025Dockerizing Your FastAPI ML App: From Script to ContainerContainerize your FastAPI ML app with an optimized Dockerfile, run it locally, and prep for scalable deployment.
Grigor Khachatryan·Jun 19, 2025Fix “Unable to Resolve AWS Account” in CDKQuickly fix the “Unable to resolve AWS account” error in AWS CDK. Easy steps with clear solutions.
Grigor Khachatryan·Jun 17, 2025Securing Docker Images with Sigstore CosignLearn to sign, verify, and secure Docker images in CI/CD using Cosign and GitHub Actions. Practical, production-grade walkthrough.
Grigor Khachatryan·Jun 15, 2025Why Modern LLMs Struggle with URLs (and How Markdown Helps)Discover why modern LLMs struggle with URL data extraction and learn how Markdown solves Reddit thread parsing for efficient AI ingestion.
Grigor Khachatryan·Jun 14, 2025Serving ML Models with FastAPI: A Production-Ready API in MinutesLearn how to build a fully working REST API using FastAPI to serve real ML model predictions — complete with validation, testing, and clean
