goldstack VS aws-lambda-java-libs

Infrastructure Complexity: Serverless computing emerged as a simplified approach to application development, but the infrastructure it requires can be unexpectedly complex. Tasks like setting up an API gateway with Lambdas can result in extensive configuration, increasing brittleness and the learning curve for developers.

I completed the upgrade and released this in version 0.5.0 of Goldstack.

If you have any question or comments, please reach out or raise an issue 🤗.

Thus, I started the process of developing a server-side rendering friendly template a few months ago. I released this template a while ago and have since also completed the implementation of the new version of my blog. This post contains my experiences and learnings from this process.

For any suggestions, ideas and comments, please be welcome to head to GitHub and create an issue 🤗.

See a full source code example here: lambdaCompression.ts

The above template and boilerplate are regularly updated and automatically tested (project install & standing up infrastructure). If you nonetheless encounter any problems, please raise an issue on GitHub.

Consider helping out making this template better for others by raising an issue in GitHub if you encounter any problems or have questions or ideas.

The above assumes that there is a local .aws/config and/or .aws/credentials file present. Note that the AWS credentials in awsUser can be initialised in many different ways, see the file awsUserUtils.ts for reference or the AWS documentation on Setting SDK Credentials in Node.js.

If you have any comments or ideas for this template, please head over to the Goldstack GitHub project and raise an issue.

FaaS is specifically focused on building and running applications as a set of independent functions or microservices. Major cloud providers like AWS (Lambda), Microsoft Azure (Functions), and Google Cloud (Cloud Functions) offer FaaS platforms that allow developers to write and deploy individual functions without managing the underlying infrastructure.

So AWS Lambda is basically a serverless computing service that is offered by AWS. It enables developers to run the code in response to various events. It protects the developers from the pain of managing the servers. Using a serverless execution model helps the developers to handle provision, manage and scale the servers automatically. Through this approach the developers can fully focus on writing the code instead of dealing with other aspects.

The first product that popularized the term “serverless” was AWS Lambda, which is both the prototypical and archetypical function as a service provider. It also has a great name, which pings back to its envisioned place in the cloud of the future. In computer programming, a lambda, often referred to as a lambda function or lambda expression, is a concise way to represent an anonymous function, which is a function without a name. The concept originates from lambda calculus in mathematical logic and has been adopted by many programming languages, each with its own syntax and characteristics.

You can build a custom config rules in 2 ways, using AWS Lambda and CloudFormation Guard. Lambda gives you a lot of flexibility, but it also brings complexity of maintaining. CloudFormation Guard is a bit more lightweight in that regard. Yes, you still need to maintain the logic to determine when your resource is compliant or not. But you need to do this in both cases, thus my go to preference is CloudFormation Guard.

AWS Lambda: https://aws.amazon.com/lambda/

This blog details how you can use some key serverless components from AWS like Amazon Eventbridge, AWS Lambda, and Simple Notification Service to setup a system that will monitor your site (which can be running anywhere) and send emails, text messages, slack messages, and more when the reachability status of your site changes.

I use the OpenWeather API to receive the current temperature data by providing the latitude and longitude coordinates as query strings in the request. A Lambda function invokes the weather API and sends the current temperature value as a custom metric to CloudWatch. I then graph the temperature values on a dashboard and activate an alarm when the temperature sinks below zero degrees Celsius.

After two years, I moved to a Web3 startup where I was given a lead software engineer role. This new role gave me more hands-on experience with AWS, where I've learned to implement serverless technologies like Lambda and DynamoDB.

I discussed a way to control access to endpoints using JSON web tokens and a Lambda authorizer earlier.