gomodest-template VS aws-lambda-java-libs

Its too early for a roadmap. I have tried different approaches and rejected them: https://github.com/adnaan/gomodest-template, https://github.com/goliveview/examples. I want the library to be have a great UX, good for moderately complex apps while building tech which is maintainable(no new rendering layer engine). I could use some help brainstorming the approaches though.

Oh wow someone finally went ahead with the server rendered js in Go ! Looks great. I have been experimenting various ways to build web apps in Go: https://github.com/adnaan/gomodest-template. I have landed on pursuing one approach more deeply: server rendered html templates over websockets. Don’t have a lot of code right now but here are some examples: https://github.com/goliveview/examples.

Since early this year, I started working on https://gomodest-template.fly.dev/samples, https://github.com/adnaan/gomodest-template to experiment with various ways to build user interfaces in Go, html and a bit of javascript. Now, I have taken all the learnings from gomodest-template and started working on https://github.com/goliveview/ . Its super early work.

So I have been exploring server side rendered Go web apps using only sprinkles & spots of javascript: source: gomodest-template , live demo .

I have built an app template which uses Go html/template package to render html on the server. The app is enhanced using sprinkles of javascript(stimulusjs, svelte single file components) on the client, wherever needed.

1. template: https://github.com/adnaan/gomodest-template

gomodest-template

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.

In this blog post, you will learn how to build a Serverless solution for entity detection using Amazon Comprehend, AWS Lambda and the Go programming language.