Posts Tagged s3

In the introductory blog post, we learned to Create an AI Slack Bot to Chat with Your Data Using Embedchain, Pulumi on AWS, and continued with Adding data to Pinecone using S3, Embedchain, and Pulumi on AWS for an AI Slack bot.

For reference, here’s what our architecture looked like at the end of the second blog post.

To follow along, clone the project, git clone https://github.com/catmeme/arti.git or view it on GitHub.

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At AWS re:Invent 2023, AWS announced the new Amazon S3 Express One Zone storage class. This new service provides incredible performance by collocating your S3 buckets closer to the workloads that use the data. Compared to the S3 Standard storage class, the Express One Zone storage class is up to 10x faster, handles 100,000s of requests per second, offers single-digit millisecond latency, and can reduce request costs by 50%. This can be extremely beneficial for data-intensive workloads such as AI/ML, media, finance, realtime, and high-performance computing scenarios. This blog post shows how to get started with Amazon S3 Express One Zone using Pulumi infrastructure as code.

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Netlify CMS is an open-source content management system that provides UI for editing content and adopting Git workflow. Initially, we want to take advantage of it to increase efficiency to edit Pulumi’s website. However, during development, we found few examples are deploying the CMS application on AWS instead of Netlify, its home platform. Therefore, in this blog post, we would like to share how to organize Netlify’s file structure and use Pulumi to store the content on S3 buckets, connect to CloudFront, and configure certificate in Certificate Manager.

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Modern applications have brought many benefits and improvements, including the ability to scale and rapid iterations to update software. However, this has come at the cost of complexity. Modern infrastructure is composed of many resources that require detailed configuration to work correctly and securely. Even managed solutions from cloud service providers need additional configuration to ensure that services are secure and free of defects. Cloud providers, such as AWS, do allow you to create policies to ensure that applications are secure, but they are specific to resources that are already deployed. A significant benefit of Policy as Code is the ability to verify and spot problems before deploying your infrastructure.

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