Alternatives
Products that do what Open-source Python framework for user-triggered cloud workloads does
Hey HN, half a year ago we were building a feature where our users could trigger long-running jobs with the following requirements: (i) the job is provisioned by the user action (e.g., clicking a button in the UI), (ii) the job can be canceled by the user, (iii) the progress of the job can be inspected while the job is running, (iv) hardware for the job is provisioned only when needed (the job may require expensive hardware and isn't called that frequently). Because we couldn't find any existing ways of achieving this we decided to implement one for Python. Currently, it uses an AWS ECS…
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Hey everyone, we just released a new version of our Infrastructure as Code Python SDK that now runs entirely on your machine - no account required. LaunchFlow extends OpenTofu to provide features like multi-environment support [1], autoconfigured infrastructure clients [2], and API release management [3]. Our goal is to provide a Python-native infrastructure toolkit that handles everything from automating your infrastructure to using it in your application code. You can use our library of preconfigured OpenTofu modules to add GCP / AWS infrastructure to your app with just a few lines of…
2024 · launchflow.com
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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…
2021
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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,…
2022 · usage.ai
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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…
2020
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Hi! I’ve always wanted a simple way to throw my Python projects online. Just to try things out, share them, or test a webhook with a real endpoint. But every time I hit the same wall: Buy a server, Set up HTTPS, Configure DNS, Get a domain. Write boilerplate to glue it together. It always felt like too much for something so small that I wanted to test. So Ive been hacking on Thread4 (currently in alpha): a tiny platform where you can write a Python function and go live instantly at yourname.thread4.eu. It’s not for production use, just quick testing, experimenting, or sharing your idea…
2025 · thread4.eu
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I had an idea a couple days ago and I went with it. Basically, the idea was to create an IRC channel to help people find jobs; computer related jobs, in particular. There would be a bot to display job listings. So I started working on a first take on the bot. I decided to use Python because I love the language and I wanted to get more experience with a its libraries. TwitterBot (or JobFeeder on ##jobfeed) as I call it, uses Twisted (https://pypi.python.org/pypi/Twisted) and Twitter (https://pypi.python.org/pypi/twitter)for now. Basically, it gets the…
2014
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Hi HN, we’re Jessie and Eric. We’ve been baking away at Cakework (https://www.cakework.com/), which is a way to build async backends without needing to manage cloud infrastructure. Cakework is for operations that take time or more compute, like file processing, report generation, or machine learning. Devs write backends as Python functions and deploy them with our CLI. They use our client SDKs to make requests, get status, and get processing results. Each request runs with its own CPU and memory parameters in its own microVM, with no timeouts. Devs can query for failures and…
2023 · cakework.com
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2022 · pythonjob.xyz
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Hi everyone, I've been working on a side project over quarantine called Usage.ai and I finally feel comfortable enough to launch it. We're a service that plugs directly into AWS, automatically finds savings, and applies those savings at the press of a confirmation button all without ever needing to go to an AWS console. I'd love to get HN's thoughts on it! Demo: https://www.loom.com/share/2a6f1c8e4c214914a1cdd88c6fdec4ac Link: https://www.usage.ai/
2020
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Hey HN - over the past few months, I’ve been working on Hatchet, which is a workflow engine meant for event-driven applications. Workflows are triggered by user-defined events (along with schedules and cron jobs). It bundles a web UI for observability and has several integrations built out (Sentry, OpenTelemetry, Slack). It’s very similar to using an SQS + EventBridge + AWS Lambda stack, but uses worker pools to process functions instead of isolated function invocations. Some features that Hatchet offers: 1. Publish, react to, and query events using the Events API [1] 2. You can define…
2024 · github.com
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This is a little project I've been working on for a while in order to better learn Python. Although IRC may not exactly be the most exciting medium, I still find it to be fun and useful, this interest lead me to writing a bot. In doing this I realized that what would actually be more interesting would be if I had a framework. There may already be such a thing, certainly there are IRC libraries, but I don't know if they're well-suited to deploying bots. At any rate if for no other reason than the fact that I am relatively new to programming and eager to learn I decided to build a framework.…
2011
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Hi HN! This is Qian here with Peter (KraftyOne) and Jeremy (jedberg). We’re building DBOS, an open-source, lightweight durable workflows library that you can add to Python apps in just a few lines of code. It’s comparable to popular open-source workflow and queue libraries like Airflow and Celery, but more lightweight with a greater focus on reliability and automatically recovering from failures. Our goal in building DBOS is to make workflows lightweight and flexible so you can add them to your existing apps with minimal work. Everything you need to run durable workflows and queues is…
2025 · github.com
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As a software engineer, my reflex has always been to script everything I can. Scripting is easy, but everything around it is tricky: scripts have to run somewhere, they need access to credentials, they need to be monitored. None of it is simple. No-code automation platforms such as Zapier or IFTTT are too restrictive for technical tasks; CI/CD platforms make it easy to script tasks related to a repository, but are limited when trying to do anything else. I wanted the low level control you have when writing scripts while retaining the comfort of a platform managing execution for me. So I…
2022 · exograd.com
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Hi HN, I previously wore SWE/SRE hats on GCP. Later, I was on the other side, managing thousands of machines. The friction points of onboarding and operating cloud systems are personal problems to me. I’ve found it hard to keep track of all the random cloud resources floating around, especially as my team’s assets proliferated. Occasionally, there is a resource affecting an outage but no one remembers where it is. I am constantly frustrated by existing tooling. APIs can work, after you’ve navigated the byzantine documentation, but I often find myself doing ad-hoc tasks which are best…
2022 · listvms.com
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Hey HN, I'm Anurag, founder and CEO of Render, a cloud for application developers. We've just launched Render Workflows, a way to define durable tasks by decorating plain TypeScript or Python functions and running them on Render without operating queues, worker pools, retry logic, and state management. Code example below [1]. The use cases we have in mind include agent loops, ETL/data pipelines, billing flows, and other long-running jobs. The model is simple: mark an existing function as a Task, deploy the repo as a Workflow, then trigger runs from your application code or via our API.…
Apr 2026 · render.com
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In my last project, I was struggling to create and monitor cron jobs. So, instead of creating hundreds of standalone scrips and executing them with cron, I decided to turn those scripts into multiple endpoints. Next, I created a single service that I could schedule HTTP requests to those endpoints and monitor its execution. No more scripts, now everything is endpoints that I can run manually at any time I turned this scheduler service into a Micro-SaaS so you don't have to build it yourself: beew.io I know you can Schedule HTTP requests with Zapier but come on... I will not pay 50 bucks for…
2021
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