Deployment simplifies continuous code integration and delivery automation for startups and agile engineering teams on the AWS cloud, eliminating the need for DevOps engineering. A developer can deploy static sites, web services, and environments without knowledge of AWS or DevOps. Deployment supports previews on pull requests and automatic deployments on code push without manual setup or scripting. It enables engineering teams to focus on tasks that add customer value instead of worrying about DevOps-related grunt work.
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Deployment.io's answer:
I led engineering teams at early-stage startups and realized that startups waste 70% of valuable engineering time on tedious, non-coding tasks that they can easily automate.
To solve this problem, we've built Deployment.io so engineering teams at startups can focus on writing more code that adds value and helps them achieve PMF faster.
Deployment.io's answer:
ReactJs using Typescript, GatsbyJs using Typescript, GoLang, and AWS
Deployment.io's answer:
Deployment.io is built and designed for startups. Our customers can onboard in 5 minutes and start deploying apps to AWS without any DevOps or AWS knowledge. Other platforms are complex and require scripting or DevOps knowledge. They are built for bigger companies with a lot of resources.
Deployment.io's answer:
Startups and agile engineering teams should choose Deployment.io for the simplicity and ease of use. Our competitors are complex and are designed for bigger companies.
Deployment.io's answer:
For startups, speed and focus are crucial. Our primary audience is engineering teams at startups that want to focus on building code that adds value and not on DevOps related grunt work.
Deploying web apps on AWS has never been this easy and it also takes care of scaling based on usage.
Based on our record, Kitemaker seems to be a lot more popular than Deployment.io. While we know about 13 links to Kitemaker, we've tracked only 1 mention of Deployment.io. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
When we built Kitemaker [0] we elected to not use CRDTs. We built our sync engine after reading the blog article Figma wrote about they didn't need CRDTs because they have the server arbitrating any conflicts. We ended up taking the same approach. It's worked out very well for us though in a tool like our "last one in wins" generally works fine and doesn't lead to a lot of surprises. For documents, we had to do... - Source: Hacker News / about 1 year ago
There is no one-size-fits-all approach to writing descriptions, so you need to figure out what works best for you and your team. However, seeing real-world examples might inspire you to find new ways to write them. Here are some examples from descriptions we have written for Kitemaker. - Source: dev.to / over 2 years ago
Kitemaker.co - Collaborate through all phases of the product development process and keep track of work across Slack, Discord, Figma, and Github. Unlimited users, unlimited spaces. Free plan up to 250 work items. - Source: dev.to / over 2 years ago
At Kitemaker, we recently made the leap to Recoil.js for our React state management needs. Before using Recoil, Kitemaker used a simple state management solution built upon useReducer(). We built Kitemaker to be super fast, responding to every user interaction instantly. However, in organizations with lots of data, we sometimes had a difficult time achieving this due to unnecessary re-renders. Kitemaker has a sync... - Source: dev.to / over 2 years ago
Definitely feel your pain. We did a full OT implementation for our startup [0] and it was a beast. We based it on Slate.js which has a nice concept of operations that maps nicely to OT, but it was still a lot of work to get it working well (and there are still rough edges we try to improve all of the time). We did base it on Postgres in the backend so really looking forward to what the Supabase team comes up with... - Source: Hacker News / almost 3 years ago
Deployment.io is an AI-powered, self-serve developer platform that simplifies deployment of complex backend services on AWS. - Source: dev.to / 8 months ago
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