Previous Serverless Version 0.5.x
serverless-application-model
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Previous Serverless Version 0.5.x | serverless-application-model | |
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90 | 98 | |
46,050 | 9,235 | |
0.3% | 0.3% | |
8.2 | 8.9 | |
5 days ago | 4 days ago | |
JavaScript | Python | |
MIT License | Apache License 2.0 |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Previous Serverless Version 0.5.x
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The Top 10 GitHub Repositories Making Waves 🌊📊
Github | Website
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Invocation error - can't find any results helping me to solve this issue
i deployed a lambda and http api gateway using a serverless.com (sls) template as a start. I get the following error when it processes a specific request:
- Consulta: buenas practicas AWS
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Deploying Lambdas from Zipped Code on S3 vs Image Repository
Have you tried serverless.com ? It lets you have infrastructure as code.
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[p] I built an open source platform to deploy computationally intensive Python functions as serverless jobs, with no timeouts
- With Lambda, you manage creating and building the container yourself, as well as updating the Lambda function code. There are tools out there such as sst or serverless.com which help streamline this.
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AWS Lambda, a good host for a rest API?
If you'd like to use Lambda, usually you need to engineer FOR it, from day one, you don't (often) get to choose some other framework and shoehorn it into Lambda and Serverless. There's some great frameworks to help deploy code into Lambda easily and create REST endpoints for things, one such frameworks is serverless.com that helps easily deploy to it, but it lacks a framework for doing REST that also supports local emulation (as easily). For that, I recommend a framework by AWS called Chalice. This is an amazing REST framework that runs a proxy that works locally and deploys exactly the same on Lambda, it is Python however.
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How are you deploying cloud functions (GCF/Lambda/Firebase/whatever) from your monorepos?
I use serverless.com for AWS stuff.
- First time building microservice-based application
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Key learnings after 10h diving into Lambda, js and Github Actions
After knocking out a README with a set of goals and a list of TODOs to check off as I made progress, I spent about 10 hours over a weekend trying to get something to work. I used serverless for making Lambda easier, Github Actions for the deploy pipeline and store my credentials; and sadly I rolled my own access_token refresh logic because I couldn't find a helper that just did that for me! wtf!?
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Does anyone use serverless framework with Workers?
Does everyone who uses Workers just use wrangler cli and the cloudflare console UI for everything or is anyone using other tools like serverless framework (https://serverless.com) instead? Looks like they added some support for cloudflare but haven't tried it yet.
serverless-application-model
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Simple and Cost-Effective Testing Using Functions
The complete solution with SAM is available here.
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Deploying a Serverless Dash App with AWS SAM and Lambda
There are many options to deploy Serverless Applications in AWS and one of them is SAM, the Serverless Application Model. I chose to use it here, because it doesn't add too many layers of abstraction between what's being deployed and the code we write and our infrastructure is quite simple.
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Serverless Apache Zeppelin on AWS
The solution uses AWS SAM with the global configuration for Lambda functions and the public API you can use to access Apache Zeppelin. The stack deployment provides the URL as an output value.
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Using design patterns in AWS Lambda
When you combine this with the AWS Serverless Application Model you can also very easily include your dependencies. Or use a compiled language like golang for your Lambda functions. You simply run sam build before you run the aws cloudformation package and aws cloudformation deploy commands. SAM will build the binary and update the template to point to the newly built binary. Package will then upload it to S3 and replace the local reference to the S3 location. Deploy can then create or update the stack or you can use the CloudFormation integration in CodePipeline.
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Serverless Site Health Check Notification System
I'm a big fan of using an Infrastructure as Code (IaC) approach for any project. My go to tools for this are the Servlerless Application Model (SAM) and it's associated CLI (SAM CLI). For more official use cases and for cross platform apps I typically use Terraform.
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Starting My AWS Certification Journey as a Certified Cloud Practitioner
AWS SAM
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API Gateway, Lambda, DynamoDB and Rust
Kicking off the tour and not starting a war, but I'm going to be using the Serverless Application Model.
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Consuming an SQS Event with Lambda and Rust
The diagram here is super simple. I'm going to write something a little later that shows how this code could fit into a bigger workflow, but for now, I'm keeping it basic. And yes, that's the SAM Squirrel in there.
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AWS Data Engineer Associate Certification - Coming Soon
Interestingly, AWS CDK and SAM are both explicitly mentioned. While CDK broadly addresses Infrastructure as Code, SAM is highlighted for its role in developing serverless data pipelines - a hugely underrated concept.
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A Beginner's Guide to the Serverless Application Model (SAM)
Naturally, there are several options available to declare your cloud resources. The options with the most popularity are the CDK, AWS CloudFormation, SST, Serverless framework, Terraform, and AWS SAM. There are others, but when talking about Infrastructure as Code (IaC), these are the ones you hear about most often.
What are some alternatives?
Zappa - Serverless Python
aws-elastic-beanstalk-cli - The EB CLI is a command line interface for Elastic Beanstalk that provides interactive commands that simplify creating, updating and monitoring environments from a local repository.
apex
LocalStack - 💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
python-lambda - A toolkit for developing and deploying serverless Python code in AWS Lambda.
Moto - A library that allows you to easily mock out tests based on AWS infrastructure.
drover - Drover is a command-line utility for deploying Python packages to Lambda functions.
sst-start-demo - A simple SST app to demo the new `sst start` command
formidable - The most used, flexible, fast and streaming parser for multipart form data. Supports uploading to serverless environments, AWS S3, Azure, GCP or the filesystem. Used in production.
openvscode-server - Run upstream VS Code on a remote machine with access through a modern web browser from any device, anywhere.
atlantis - Terraform Pull Request Automation
aws-sam-cli - CLI tool to build, test, debug, and deploy Serverless applications using AWS SAM