https://antoineboucher.info/CV/blog/tags/aws/Recent content in AWS on Antoine BoucherHugoen-usTue, 14 May 2024 18:00:00 -0400https://antoineboucher.info/CV/blog/posts/caddy-ec2-cloudwatch-lambda/Tue, 14 May 2024 18:00:00 -0400https://antoineboucher.info/CV/blog/posts/caddy-ec2-cloudwatch-lambda/<h2 id="introduction">Introduction</h2> <p>Creating a robust and scalable web infrastructure can be both complex and costly. However, with the right tools and a little bit of creativity, you can build a cost-effective and efficient solution. In this article, we will walk through setting up a Caddy web server on AWS EC2, integrating it with AWS CloudWatch for monitoring, and using AWS Step Functions and Lambda to automate and streamline operations. This guide aims to provide a comprehensive approach to setting up a low-cost dashboard using these technologies.</p>https://antoineboucher.info/CV/blog/posts/aws-certified-cloud-practitioner/Tue, 14 May 2024 16:00:00 -0400https://antoineboucher.info/CV/blog/posts/aws-certified-cloud-practitioner/<p>I’m thrilled to share that I’ve recently obtained the AWS Certified Cloud Practitioner certification from Amazon Web Services (AWS)! This accomplishment represents a significant milestone in my professional journey, and I want to take this opportunity to highlight some of the incredible tools that made this achievement possible.</p> <p>AWS Skill Builder and AWS Cloud Quest were instrumental in my preparation, providing an engaging and comprehensive learning experience. In this article, I’ll share my study plan and how these AWS tools can help anyone aiming to enhance their cloud computing skills.</p>https://antoineboucher.info/CV/blog/posts/runai-aws-inference-webinar/Tue, 06 Sep 2022 10:00:00 -0400https://antoineboucher.info/CV/blog/posts/runai-aws-inference-webinar/<p>Notes from the <strong>Run:ai</strong> webinar on running and scaling <strong>inference</strong> workloads on <strong>AWS</strong> (Americas). Run:ai focuses on scheduling, visibility, and efficiency for GPU-backed models in shared environments.</p> <h2 id="dashboard">Dashboard</h2> <p>Overview of jobs and resource usage.</p> <p><img src="https://antoineboucher.info/CV/blog/posts/runai-aws-inference-webinar/images/dashboard.jpeg" alt="Dashboard"></p> <p><img src="https://antoineboucher.info/CV/blog/posts/runai-aws-inference-webinar/images/dashboard1.jpeg" alt="Dashboard (alternate view)"></p> <h2 id="cli">CLI</h2> <p>Command-line operations and automation.</p> <p><img src="https://antoineboucher.info/CV/blog/posts/runai-aws-inference-webinar/images/cli.jpeg" alt="CLI"></p> <h2 id="models-and-load">Models and load</h2> <p><img src="https://antoineboucher.info/CV/blog/posts/runai-aws-inference-webinar/images/model.jpeg" alt="Model view"></p> <p><img src="https://antoineboucher.info/CV/blog/posts/runai-aws-inference-webinar/images/multi.jpeg" alt="Multi-instance / scaling"></p> <h2 id="workload-management">Workload management</h2> <p><img src="https://antoineboucher.info/CV/blog/posts/runai-aws-inference-webinar/images/managing.jpeg" alt="Managing workloads"></p> <h2 id="infrastructure-view">Infrastructure view</h2> <p><img src="https://antoineboucher.info/CV/blog/posts/runai-aws-inference-webinar/images/servers.jpeg" alt="Servers"></p> <h2 id="demo">Demo</h2> <p><img src="https://antoineboucher.info/CV/blog/posts/runai-aws-inference-webinar/images/demo.jpeg" alt="Demo"></p> <h2 id="challenges">Challenges</h2> <p><img src="https://antoineboucher.info/CV/blog/posts/runai-aws-inference-webinar/images/challenges.jpeg" alt="Challenges slide"></p> <hr> <p>For product details, see the official <strong>Run:ai</strong> documentation and <strong>AWS</strong> marketplace or partner listings.</p>