AWS CodeBuild VS AWS Lambda

Therefore, I used AWS Codebuild and AWS CodePipeline to automate the steps of building and deploying the services. The diagram below depicts all the steps required to continuously deliver the frontend and backend applications:. - Source: dev.to / about 1 year ago

We treat these services in one  group as they belong together from a strategic point of view. They have been around for a few years and the teams that built these are now involved in CodeCatalyst. CodeCatalyst partly uses them “under the hood”. CodeCommit is a managed git hosting, CodeBuild is a managed “build” system, CodeStar is a “project management” tool. CodePipeline allows combining multiple CodeBuild steps... - Source: dev.to / about 1 year ago

Design for Operations You should implement your entire workload as code. The benefit is that you can apply the same engineering discipline that you use for application code to your infrastructure. Use version control system like AWS Codecommit to enable tracking of changes and releases, and use AWS Cloudformation for your infrastructure templates. It is recommendable to test and validate changes to help limit... - Source: dev.to / over 1 year ago

AWS CodeBuild: fully managed continuous integration service that compiles source code, runs tests, and produces software packages that are ready to deploy. - Source: dev.to / over 1 year ago

AWS CodeBuild is a completely managed service for compiling code, testing quality assurance using automated procedures, and generating software ready for deployment. CodeBuild is incredibly secure, as each client receives a unique set of encryption keys to include in each created artifact. Source: almost 2 years ago

Event Producers: Generate streams of events, which can be implemented using straightforward microservices with AWS Lambda (for serverless computing), Amazon DynamoDB Streams (to captures changes to DynamoDB tables in real-time), Amazon S3 Event Notifications (Notify when certain events occur in S3 buckets) or AWS Fargate (a serverless compute engine for containers). - Source: dev.to / 8 days ago

Amazon Web Services (AWS) Lambda is a serverless function-as-a-service (FaaS) platform that lets you deploy, run, and scale code in the cloud as self-contained functions without having to manually configure any infrastructure. Lambda runs your functions on demand in response to specific events, such as an HTTP request from the internet or activity in another AWS service. - Source: dev.to / 5 days ago

FaaS is specifically focused on building and running applications as a set of independent functions or microservices. Major cloud providers like AWS (Lambda), Microsoft Azure (Functions), and Google Cloud (Cloud Functions) offer FaaS platforms that allow developers to write and deploy individual functions without managing the underlying infrastructure. - Source: dev.to / 17 days ago

So AWS Lambda is basically a serverless computing service that is offered by AWS. It enables developers to run the code in response to various events. It protects the developers from the pain of managing the servers. Using a serverless execution model helps the developers to handle provision, manage and scale the servers automatically. Through this approach the developers can fully focus on writing the code... - Source: dev.to / 30 days ago

The first product that popularized the term “serverless” was AWS Lambda, which is both the prototypical and archetypical function as a service provider. It also has a great name, which pings back to its envisioned place in the cloud of the future. In computer programming, a lambda, often referred to as a lambda function or lambda expression, is a concise way to represent an anonymous function, which is a function... - Source: dev.to / 3 months ago