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.
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, Amazon EC2 seems to be a lot more popular than Deployment.io. While we know about 77 links to Amazon EC2, 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.
Deployment.io is an AI-powered, self-serve developer platform that simplifies deployment of complex backend services on AWS. - Source: dev.to / about 1 year ago
Compute: This is the big one. It's the cost of running EC2 instances with GPUs (like the g5 or p4 series) for model training and deployment. It also includes the compute for services like Amazon SageMaker and AWS Batch. - Source: dev.to / about 2 months ago
Introduction Imagine this: You run a small e-commerce site. Itโs Black Friday, traffic is flooding inโฆ and your main server suddenly crashes. Normally, this means lost sales, angry customers, and a long night for your IT team. But with Amazon EC2 (Elastic Compute Cloud), your app keeps running because your servers arenโt tied to a single machine โ they live in the AWS cloud, spread across multiple data... - Source: dev.to / about 2 months ago
Setting up servers, networking, or cloud resources via IaC is tedious โ but Forge can help. I often describe the desired infrastructure in plain English (e.g. โSpin up an AWS EC2 instance with Docker installed and expose port 80โ), and Forge will draft the Terraform/CloudFormation script or shell commands for it. This means spinning up or updating our cloud environment becomes much faster and consistent. While... - Source: dev.to / 2 months ago
Amazon EC2 โ Virtual server for running the Docker container. - Source: dev.to / 5 months ago
These packages are not limited to Lambda. You can use them to validate tokens in Express servers running on EC2 instances or containers, for example. - Source: dev.to / 6 months ago
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