I wrote a book about using Lambda with Go
Hi HN! During the last few years, I worked on a few applications built with Go, running on AWS Lambda. As I got to know the platform better, I started to find Go & Lambda to be a really productive combination. The applications were fast, and they ended up being much cheaper to run than what my team & I had built before. It’s probably not the best platform for _every_ application, but I was surprised at how much of our workload worked well on it. As we brought new engineers on to our team and helped them get up to speed with the stack, I found that we were covering a lot of the same topics…
What it does
In the maker’s words, at launch
Hi HN! During the last few years, I worked on a few applications built with Go, running on AWS Lambda. As I got to know the platform better, I started to find Go & Lambda to be a really productive combination. The applications were fast, and they ended up being much cheaper to run than what my team & I had built before. It’s probably not the best platform for _every_ application, but I was surprised at how much of our workload worked well on it. As we brought new engineers on to our team and helped them get up to speed with the stack, I found that we were covering a lot of the same topics over and over — especially things like performance, testing and monitoring. Since this knowledge turned out to be very useful for our team, I decided to gather it into a book that will hopefully also be useful to others. This is my first time putting something like this together, so I'm grateful for any feedback! The book is at: https://kevinmcconnell.gumroad.com/l/lambda-go-book/hn (with HN discount ;)) There's also a link on that page to a free sample that you can download without registering. Thanks! Cheers, Kevin
Does the same job
all alternatives →- IBI built a service to help companies save on their AWS bills2020 · ▲73
Hey HN: I'm Kaveh, the founder of Usage (https://www.usage.ai/) We help companies drive down AWS costs. Why? Because the way it's done now is a pain. Stakeholders, especially engineers, are required to spend unnecessary time manually finding underutilized or overly expensive EC2s. We believe the optimization process should be done automatically through a series of sophisticated algorithms. At the moment, there are over 70,000 AWS EC2 prices - doing that manually just won't scale at most organizations. My background is in software engineering. Previous to founding Usage, I…
- IBI built a service to help companies reduce AWS spend by 50%2022 · usage.ai · ▲123
Hey HN: Kaveh here, the founder of https://www.usage.ai/ We help companies drive down AWS EC2 spend. Why? Because the way it's done now is a pain. DevOps and Software Engineers end up spending time managing costs rather than focusing on business problems. Previous to founding Usage, I worked on high-performance computing research at JP Morgan Chase and as a software engineer at a number of smaller startups. Here's how it works: We are typically brought in by a DevOps manager to cut AWS EC2 costs. The app is entirely self-service and the savings are generated automatically,…
- BSBuilding services on lambda should be easy and fun2022 · github.com · ▲6
i had previously posted this when it was aws-rce. it’s changed enough that i want to post it again.
- BPBest practices for building Serverless apps2019 · ▲10
Hi all, I'm one of the authors of Serverless-Stack.com — an open source guide to building full-stack apps with AWS Lambda and React. Since it's launch in 2017, it's become one of the most widely read guides for building Serverless apps. Today we are adding a new section to the guide that walks you through the best practices of building large Serverless applications. It tries to address some of the most common questions that teams have: - How should my project be structured when I have dozens of interdependent services? - How should I manage my environments? - What are the best practice for…
- LLambdaway2016 · ▲29
I am working on this project, http://epsilonwiki.free.fr/lambdaway/, and would be happy to get your opinion back. Thanks a lot. Alain Marty
- ICI co-wrote a book on training Deep Learning models in Go2019 · ▲45
A friend and I wrote a book on how to build and train Deep Learning models in Go. We wanted it to be a useful reference for deep learning basics for Go programmers. Deep Learning is slowly seeping into everything we use every day and we thought it would be great if more people could do it in Go. The book is available here and on Amazon as well. https://www.packtpub.com/big-data-and-business-intelligence/hands-deep-learning-go We would appreciate any feedback and we're always looking to improve.
More work this month
the category →


The app store for voice native apps that lives in your notch
Work · 28d ago · voiceos.com

The New Calendly▲211Handle all of the work before, during, and after meetings
Work · 17d ago · calendly.com
Launched alongside, December 2021
the whole month →
Powerful enhanced experience for Twitter
Life & fun · 2021 · blackmagic.so
- IM
Life & fun · 2021 · modernwiki.app

- ETEmoji to Scale▲713
Life & fun · 2021 · javier.xyz

BitsForDigits▲625A partial buyout marketplace free for bootstrapped founders
Commerce · 2021 · flippa.com