Hermann  Frami

Hermann Frami

1656629280

Serverless Framework Plugin to Export AWS SAM Templates for A Service

Serverless SAM 

Serverless-sam is a plugin for the Serverless framework that makes it easy to create Serverless Application Model (SAM) templates from an application. The plugin adds the sam command to the serverless cli.

Installation

From your Serverless application directory, use npm to install the plugin:

$ npm install --save-dev serverless-sam

Once you have installed the plugin, add it to your serverless.yml file in the plugins sections.

service: my-serverless-service

plugins:
  - serverless-sam

frameworkVersion: ">=1.1.0 <2.0.0"
...

Usage

Use the sam export command to generate a SAM definition from your service. Use the --output or -o option to set the name for the SAM template file.

$ serverless sam export --output ./sam-template.yml

Once you have exported the template, you can follow the standard procedure with the AWS CLI to deploy the service. First, the package command reads the generated templates, uploads the packaged functions to an S3 bucket for deployment, and generates an output template with the S3 links to the function packages.

$ aws cloudformation package \
    --template-file /path_to_template/template.yaml \
    --s3-bucket bucket-name \
    --output-template-file packaged-template.yaml

The next step is to deploy the output template from the package command:

$ aws cloudformation deploy \
    --template-file /path_to_template/packaged-template.yaml \
    --stack-name my-new-stack \
    --capabilities CAPABILITY_IAM

Author: SAPessi
Source Code: https://github.com/SAPessi/serverless-sam 
License: Apache-2.0 license

#serverless #node #plugin #lambda 

What is GEEK

Buddha Community

Serverless Framework Plugin to Export AWS SAM Templates for A Service
Christa  Stehr

Christa Stehr

1598408880

How To Unite AWS KMS with Serverless Application Model (SAM)

The Basics

AWS KMS is a Key Management Service that let you create Cryptographic keys that you can use to encrypt and decrypt data and also other keys. You can read more about it here.

Important points about Keys

Please note that the customer master keys(CMK) generated can only be used to encrypt small amount of data like passwords, RSA key. You can use AWS KMS CMKs to generate, encrypt, and decrypt data keys. However, AWS KMS does not store, manage, or track your data keys, or perform cryptographic operations with data keys.

You must use and manage data keys outside of AWS KMS. KMS API uses AWS KMS CMK in the encryption operations and they cannot accept more than 4 KB (4096 bytes) of data. To encrypt application data, use the server-side encryption features of an AWS service, or a client-side encryption library, such as the AWS Encryption SDK or the Amazon S3 encryption client.

Scenario

We want to create signup and login forms for a website.

Passwords should be encrypted and stored in DynamoDB database.

What do we need?

  1. KMS key to encrypt and decrypt data
  2. DynamoDB table to store password.
  3. Lambda functions & APIs to process Login and Sign up forms.
  4. Sign up/ Login forms in HTML.

Lets Implement it as Serverless Application Model (SAM)!

Lets first create the Key that we will use to encrypt and decrypt password.

KmsKey:
    Type: AWS::KMS::Key
    Properties: 
      Description: CMK for encrypting and decrypting
      KeyPolicy:
        Version: '2012-10-17'
        Id: key-default-1
        Statement:
        - Sid: Enable IAM User Permissions
          Effect: Allow
          Principal:
            AWS: !Sub arn:aws:iam::${AWS::AccountId}:root
          Action: kms:*
          Resource: '*'
        - Sid: Allow administration of the key
          Effect: Allow
          Principal:
            AWS: !Sub arn:aws:iam::${AWS::AccountId}:user/${KeyAdmin}
          Action:
          - kms:Create*
          - kms:Describe*
          - kms:Enable*
          - kms:List*
          - kms:Put*
          - kms:Update*
          - kms:Revoke*
          - kms:Disable*
          - kms:Get*
          - kms:Delete*
          - kms:ScheduleKeyDeletion
          - kms:CancelKeyDeletion
          Resource: '*'
        - Sid: Allow use of the key
          Effect: Allow
          Principal:
            AWS: !Sub arn:aws:iam::${AWS::AccountId}:user/${KeyUser}
          Action:
          - kms:DescribeKey
          - kms:Encrypt
          - kms:Decrypt
          - kms:ReEncrypt*
          - kms:GenerateDataKey
          - kms:GenerateDataKeyWithoutPlaintext
          Resource: '*'

The important thing in above snippet is the KeyPolicy. KMS requires a Key Administrator and Key User. As a best practice your Key Administrator and Key User should be 2 separate user in your Organisation. We are allowing all permissions to the root users.

So if your key Administrator leaves the organisation, the root user will be able to delete this key. As you can see **KeyAdmin **can manage the key but not use it and KeyUser can only use the key. ${KeyAdmin} and **${KeyUser} **are parameters in the SAM template.

You would be asked to provide values for these parameters during SAM Deploy.

#aws #serverless #aws-sam #aws-key-management-service #aws-certification #aws-api-gateway #tutorial-for-beginners #aws-blogs

Hermann  Frami

Hermann Frami

1656629280

Serverless Framework Plugin to Export AWS SAM Templates for A Service

Serverless SAM 

Serverless-sam is a plugin for the Serverless framework that makes it easy to create Serverless Application Model (SAM) templates from an application. The plugin adds the sam command to the serverless cli.

Installation

From your Serverless application directory, use npm to install the plugin:

$ npm install --save-dev serverless-sam

Once you have installed the plugin, add it to your serverless.yml file in the plugins sections.

service: my-serverless-service

plugins:
  - serverless-sam

frameworkVersion: ">=1.1.0 <2.0.0"
...

Usage

Use the sam export command to generate a SAM definition from your service. Use the --output or -o option to set the name for the SAM template file.

$ serverless sam export --output ./sam-template.yml

Once you have exported the template, you can follow the standard procedure with the AWS CLI to deploy the service. First, the package command reads the generated templates, uploads the packaged functions to an S3 bucket for deployment, and generates an output template with the S3 links to the function packages.

$ aws cloudformation package \
    --template-file /path_to_template/template.yaml \
    --s3-bucket bucket-name \
    --output-template-file packaged-template.yaml

The next step is to deploy the output template from the package command:

$ aws cloudformation deploy \
    --template-file /path_to_template/packaged-template.yaml \
    --stack-name my-new-stack \
    --capabilities CAPABILITY_IAM

Author: SAPessi
Source Code: https://github.com/SAPessi/serverless-sam 
License: Apache-2.0 license

#serverless #node #plugin #lambda 

Hermann  Frami

Hermann Frami

1655426640

Serverless Plugin for Microservice Code Management and Deployment

Serverless M

Serverless M (or Serverless Modular) is a plugin for the serverless framework. This plugins helps you in managing multiple serverless projects with a single serverless.yml file. This plugin gives you a super charged CLI options that you can use to create new features, build them in a single file and deploy them all in parallel

splash.gif

Currently this plugin is tested for the below stack only

  • AWS
  • NodeJS λ
  • Rest API (You can use other events as well)

Prerequisites

Make sure you have the serverless CLI installed

# Install serverless globally
$ npm install serverless -g

Getting Started

To start the serverless modular project locally you can either start with es5 or es6 templates or add it as a plugin

ES6 Template install

# Step 1. Download the template
$ sls create --template-url https://github.com/aa2kb/serverless-modular/tree/master/template/modular-es6 --path myModularService

# Step 2. Change directory
$ cd myModularService

# Step 3. Create a package.json file
$ npm init

# Step 3. Install dependencies
$ npm i serverless-modular serverless-webpack webpack --save-dev

ES5 Template install

# Step 1. Download the template
$ sls create --template-url https://github.com/aa2kb/serverless-modular/tree/master/template/modular-es5 --path myModularService

# Step 2. Change directory
$ cd myModularService

# Step 3. Create a package.json file
$ npm init

# Step 3. Install dependencies
$ npm i serverless-modular --save-dev

If you dont want to use the templates above you can just add in your existing project

Adding it as plugin

plugins:
  - serverless-modular

Now you are all done to start building your serverless modular functions

API Reference

The serverless CLI can be accessed by

# Serverless Modular CLI
$ serverless modular

# shorthand
$ sls m

Serverless Modular CLI is based on 4 main commands

  • sls m init
  • sls m feature
  • sls m function
  • sls m build
  • sls m deploy

init command

sls m init

The serverless init command helps in creating a basic .gitignore that is useful for serverless modular.

The basic .gitignore for serverless modular looks like this

#node_modules
node_modules

#sm main functions
sm.functions.yml

#serverless file generated by build
src/**/serverless.yml

#main serverless directories generated for sls deploy
.serverless

#feature serverless directories generated sls deploy
src/**/.serverless

#serverless logs file generated for main sls deploy
.sm.log

#serverless logs file generated for feature sls deploy
src/**/.sm.log

#Webpack config copied in each feature
src/**/webpack.config.js

feature command

The feature command helps in building new features for your project

options (feature Command)

This command comes with three options

--name: Specify the name you want for your feature

--remove: set value to true if you want to remove the feature

--basePath: Specify the basepath you want for your feature, this base path should be unique for all features. helps in running offline with offline plugin and for API Gateway

optionsshortcutrequiredvaluesdefault value
--name-nstringN/A
--remove-rtrue, falsefalse
--basePath-pstringsame as name

Examples (feature Command)

Creating a basic feature

# Creating a jedi feature
$ sls m feature -n jedi

Creating a feature with different base path

# A feature with different base path
$ sls m feature -n jedi -p tatooine

Deleting a feature

# Anakin is going to delete the jedi feature
$ sls m feature -n jedi -r true

function command

The function command helps in adding new function to a feature

options (function Command)

This command comes with four options

--name: Specify the name you want for your function

--feature: Specify the name of the existing feature

--path: Specify the path for HTTP endpoint helps in running offline with offline plugin and for API Gateway

--method: Specify the path for HTTP method helps in running offline with offline plugin and for API Gateway

optionsshortcutrequiredvaluesdefault value
--name-nstringN/A
--feature-fstringN/A
--path-pstringsame as name
--method-mstring'GET'

Examples (function Command)

Creating a basic function

# Creating a cloak function for jedi feature
$ sls m function -n cloak -f jedi

Creating a basic function with different path and method

# Creating a cloak function for jedi feature with custom path and HTTP method
$ sls m function -n cloak -f jedi -p powers -m POST

build command

The build command helps in building the project for local or global scope

options (build Command)

This command comes with four options

--scope: Specify the scope of the build, use this with "--feature" tag

--feature: Specify the name of the existing feature you want to build

optionsshortcutrequiredvaluesdefault value
--scope-sstringlocal
--feature-fstringN/A

Saving build Config in serverless.yml

You can also save config in serverless.yml file

custom:
  smConfig:
    build:
      scope: local

Examples (build Command)

all feature build (local scope)

# Building all local features
$ sls m build

Single feature build (local scope)

# Building a single feature
$ sls m build -f jedi -s local

All features build global scope

# Building all features with global scope
$ sls m build -s global

deploy command

The deploy command helps in deploying serverless projects to AWS (it uses sls deploy command)

options (deploy Command)

This command comes with four options

--sm-parallel: Specify if you want to deploy parallel (will only run in parallel when doing multiple deployments)

--sm-scope: Specify if you want to deploy local features or global

--sm-features: Specify the local features you want to deploy (comma separated if multiple)

optionsshortcutrequiredvaluesdefault value
--sm-paralleltrue, falsetrue
--sm-scopelocal, globallocal
--sm-featuresstringN/A
--sm-ignore-buildstringfalse

Saving deploy Config in serverless.yml

You can also save config in serverless.yml file

custom:
  smConfig:
    deploy:
      scope: local
      parallel: true
      ignoreBuild: true

Examples (deploy Command)

Deploy all features locally

# deploy all local features
$ sls m deploy

Deploy all features globally

# deploy all global features
$ sls m deploy --sm-scope global

Deploy single feature

# deploy all global features
$ sls m deploy --sm-features jedi

Deploy Multiple features

# deploy all global features
$ sls m deploy --sm-features jedi,sith,dark_side

Deploy Multiple features in sequence

# deploy all global features
$ sls m deploy  --sm-features jedi,sith,dark_side --sm-parallel false

Author: aa2kb
Source Code: https://github.com/aa2kb/serverless-modular 
License: MIT license

#serverless #aws #node #lambda 

Ajay Kapoor

1626759008

AWS Development Company | Amazon Web Development Services

PixelCrayons provides its clients with best-in-class AWS development services in India. They are backed by a team of 500+ professionals and help to reduce the operational overhead and risk of the organisations.

AWS development services aid in automating simple activities, such as to request change, monitoring, patch management, security, and backup services. Our services are efficient to provide the full-lifecycle services to establish, run, plus support IT infrastructure.

Overview of Our Amazon Web Services
PixelCrayons AWS Managed Services relieves you from infrastructure operations to provide direct access to resources toward distinguishing your business.

Ready to Get Started?
Stay ahead of competition with our professional, tailor-made & enterprise-grade Amazon Web Services. We provide you the right talent with right skills to the right business. Our professionals have expertise with modern technologies to address critical needs of global clients across industries.

Amazon web development services

#aws development services #aws development services in india #amazon web services #aws managed services #amazon web development services

Serverless Services on AWS: An Overview

This article reviews one cloud provider to help with serverless services; AWS, the leader in cloud computing with various services in one place.

As digitalization takes over, there are more and more serverless applications on the market. If you choose to develop a serverless application, you don’t have to spend money on infrastructure, own room for it, or hire a team for server maintenance. There are a lot of cloud providers that offer the necessary tools for developing such applications. One of them is AWS, the leader in cloud computing with various services in one place.

Read more:  What is Serverless?

Here is a list of AWS services that will help you to build and run your serverless application.

1. AWS Lambda

2. AWS Fargate

3. AWS DynamoDB

4. Amazon Aurora

5. Amazon SNS

6. Amazon SQS

7. AWS CloudWatch

8. Amazon QuickSight

9. AWS Step Functions

10. Amazon API Gateway

11. Amazon Cognito

12. AWS KMS

#aws #aws services #aws architect #serverless