Observed Signal · Sep 21, 2026 · Market Signal · Source: drupal.org · Impact: 3.5/5
The AWS Migration: Building the Next Chapter of Drupal’s Infrastructure
This is the first post in a three-part series about the impact of the AWS Open Source Credits program on the Drupal community. Part one covers our testing infrastructure.
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AIOps on AWS: Observability, Tools, Dev Experience
This technical blog — the third in a 3-part series about the author’s DevOps and AI on AWS specialization — explains AIOps (AI for IT operations), contrasts monitoring and observability, and outlines how AIOps augments observability by automating anomaly detection, root-cause analysis, prediction, and remediation. It highlights AWS AIOps features including CloudWatch Anomaly Detection, AWS X-Ray Insights, and AWS DevOps Guru (reactive and proactive insights), and notes Amazon Q Developer’s code security scanning for earlier-phase developer tooling. The post frames AIOps as a way to correlate logs, metrics and traces to accelerate troubleshooting and reduce manual effort, and closes with personal reflections on the certification journey.
Building a Production Company Website on AWS
Josh Blair published a technical guide showing how to wire GitHub, AWS CodePipeline and CodeBuild to implement automated CI/CD for a static React + Vite site deployed to Amazon S3 and delivered via CloudFront. The pipeline is defined in a CloudFormation stack (infra/stacks/pipeline.yml) and uses an AWS CodeStar Connection (GitHub App) for source, an S3 artifact bucket, a CodeBuild project that runs a buildspec.yml (npm ci, npm run build, aws s3 sync --delete, CloudFront invalidation), and narrowly scoped IAM roles for CodePipeline and CodeBuild. The article documents a required manual approval step to authorize the GitHub App in the AWS Console, explains DetectChanges:true for automatic triggers on git push, and reports an end-to-end deployment timeline of roughly 90 seconds. This post appears to be part of the author’s broader DEV.to series about building a production site on AWS and supplements that series with detailed pipeline configuration and troubleshooting guidance.
Building Startup Infrastructure the Right Way
The author outlines a systematic "30-day startup infrastructure plan" published as a step-by-step GitHub repository and companion blog series. The objective is to build a clean, production-ready infrastructure from day one while keeping the process simple and well-documented. The plan emphasizes baseline practices such as secure access control, segmented environments, automated deployments (CI/CD), observability, and infrastructure-as-code. The post recommends cloud platforms—notably AWS (EC2, S3, RDS, VPC)—as a scalable base for startups and describes the series’ upcoming posts that will document account security, networking, compute, database architecture, CI/CD pipelines, and monitoring in practical stages.
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