How to Deploy Applications into AWS from GitLab

How to Deploy Applications into AWS from GitLab

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  • Create Date March 29, 2023
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A single application for Lambda, Fargate, EC2, EKS, and ECS

Amazon Web Services (AWS) is the de facto leader in the worldwide cloud infrastructure market, accounting for nearly 33% in 2019. As of January 2020, AWS offers nearly 160 global cloud-based products including compute, storage, databases, analytics, networking, mobile, developer tools,
management tools, IoT, security and enterprise applications. Millions of customers, including startups, large-scale enterprises, and government agencies rely on AWS cloud services to power their business.

Developer tools have a high capacity for driving cloud usage and organizations adopt cloud native application development to take advantage of the power of the cloud computing model. Teams utilize cloud native technologies to build and deploy to a limitless number of cloud services, but with small teams managing microservices written in different languages deployed using separate tools, information silos eventually emerge.

Toolchain complexity is a common thread among DevOps teams that are doing cloud native development today. In a 2019 Forrester survey of IT professionals, they found that many software development teams are struggling with managing and integrating multiple tools. In order to leverage AWS services, development teams can through five or more different tools just to deploy code. Teams then have to manage these tools. Developers end up spending a lot of time maintaining a complex toolchain rather than innovating or building new things.

Many organizations use AWS because it is an all-in-one cloud service, offering everything from storage, to networking, to serverless under one roof. AWS is meant to be comprehensive, and that can bring multiple benefits for its customers:

» Simplicity: All of our cloud data is one place.
» Convenience: AWS has everything we need.
» Reliability: We can rely on AWS to have solutions.
» Ease of use: We don’t have to train our team on multiple clouds.

Teams that go “all-in” on AWS do so in order to simplify their cloud needs, but because AWS offers so many cloud services, this simplicity does not come at the cost of functionality. When it comes to DevOps tools, organizations can also take advantage of this all-in-one meets functionality approach. Instead of bringing in separate tools, integrating them, and maintaining them, DevOps teams can have the entire software development lifecycle in one application with GitLab.

 

 

 

 

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