AWS on Bruce on AI Engineering

AWS CLI Complete Guide: Installation, Configuration, S3/EC2 Commands & Troubleshooting

Sat, 04 Jul 2020 00:16:54 +0800

The AWS CLI (Amazon Web Services Command Line Interface) is Amazon’s official unified tool for managing all AWS services from the terminal. Whether you are spinning up EC2 instances, syncing files to S3, or automating deployments, the CLI is often the fastest path. This guide walks through installation, configuration, everyday commands for the most popular services, and solutions to the errors you will inevitably hit.

Nginx HTTPS Configuration Guide: Self-Signed Certs, Mixed Sites, and Reverse Proxy Pitfalls

Fri, 03 Jul 2020 13:19:44 +0800

Configuring HTTPS on Nginx is a core skill for any backend engineer working in production. This article covers three real-world scenarios I have dealt with in actual projects: setting up self-signed certificates, running a mixed HTTP/HTTPS site, and debugging a nasty DNS caching issue when reverse proxying to AWS ELB.

1. Self-Signed SSL Certificates with OpenSSL

In development and testing environments, self-signed certificates let you enable HTTPS without purchasing a certificate from a third-party CA.

Jenkins + AWS CodeDeploy + Auto Scaling: A Complete CI/CD Pipeline Guide

Tue, 20 Nov 2018 11:05:40 +0800

This article walks through setting up a continuous delivery pipeline using Jenkins, AWS CodeDeploy, S3, and Auto Scaling. It covers everything from creating Auto Scaling groups to configuring blue/green deployments with lifecycle hooks.

AWS Auto Scaling

Benefits of Auto Scaling

Consistent infrastructure — Every instance launches with the same software stack (Nginx, PHP, etc.), eliminating configuration drift.
Rapid scaling — Simply set the desired instance count in your Auto Scaling group and new instances spin up automatically.
Policy-driven scaling — Define scaling policies based on metrics like CPU utilization to add or remove instances automatically.
Cost control — Use smaller instances that scale horizontally, which is the whole point of Auto Scaling.

Auto Scaling Components

Auto Scaling Group: A logical grouping of EC2 instances used for scaling and management. When creating a group, you specify the minimum, maximum, and desired number of instances.

AWS EKK Log System Setup: Elasticsearch + Kinesis + Kibana Hands-On Guide

Wed, 12 Sep 2018 18:52:59 +0800

EKK is a log collection stack built entirely on AWS managed services: Amazon Elasticsearch Service, Amazon Kinesis, and Kibana. Compared to a self-managed ELK stack, EKK is significantly easier to set up and maintain since AWS handles the infrastructure. Here is the basic architecture:

This guide focuses on the practical aspects of collecting Nginx logs and getting them into Elasticsearch with the correct field mappings, rather than covering every AWS console click.

Amazon Redshift Performance Tuning: VACUUM, ANALYZE, and Operations Best Practices

Thu, 09 Aug 2018 16:03:05 +0800

Amazon Redshift is AWS’s fully managed cloud data warehouse built on columnar storage and massively parallel processing (MPP) architecture. It can deliver sub-second query performance on petabyte-scale datasets. However, as data is continuously inserted and deleted, table performance gradually degrades – and that’s where VACUUM and ANALYZE come in.

This article covers Redshift’s performance optimization strategies in depth, including all six VACUUM types, ANALYZE statistics updates, and practical commands for day-to-day operations.