Like many organizations, tecRacer uses HubSpot as a CRM. Integrating Hubspot with other (internal) systems enables smooth workflows for everyone involved. Since I recently built a custom integration, I thought it may be helpful to explain how to set up a secure interface with AWS.
In the previous post, “API Gateway and Lambda Throttling with Terraform”, we covered the basics of setting up throttling for your API Gateway and Lambda functions. In this follow-up, we’ll take it to the next level, adding budget controls, time-based throttling adjustments, and AWS WAF security integration to safeguard your API while optimizing both performance and cost-efficiency.
In today’s cloud-native world, effectively managing API and serverless function performance is crucial for building reliable and cost-effective applications. This guide explores advanced throttling techniques for AWS API Gateway and Lambda using Terraform, incorporating best practices from the AWS Well-Architected Framework and real-world implementation patterns.
In the most recent installment of the Serverless Dash series, we’ll look at implementing proper authentication using Cognito. This post covers setting up the user pool, the app client and also the logout option.
Many projects get to the point where your sophisticated infrastructure delivers reports to S3 and now you need a way for your end users to get them. Giving everyone access to the AWS account usually doesn’t work. In this post we’ll look at an alternative - we’re going to build a Serverless S3 Explorer with Dash, Lambda and the API Gateway.
I’ll teach you how to add interactive basic auth to the Serverless Dash app that we deployed recently.
Note: This is an updated version of this blog. Building Lambda Functions with Terraform Introduction Many of us use Terraform to manage our infrastructure as code. As AWS users, Lambda functions tend to be an important part of our infrastructure and its automation. Deploying - and especially building - Lambda functions with Terraform unfortunately isn’t as straightforward as I’d like. (To be fair: it’s very much debatable whether you should use Terraform for this purpose, but I’d like to do that - and if I didn’t, you wouldn’t get to read this article, so let’s continue)
Today I’m going to show you how to deploy a Dash app in a Lambda Function behind an API Gateway. This setup is truly serverless and allows you to only pay for infrastructure when there is traffic, which is an ideal deployment model for small (internal) applications. Dash is a Python framework that enables you to build interactive frontend applications without writing a single line of Javascript. Internally and in projects we like to use it in order to build a quick proof of concept for data driven applications because of the nice integration with Plotly and pandas.
