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Repository Details

PlantUML sprites, macros, and other includes for Amazon Web Services services and resources

AWS Icons for PlantUML

PlantUML images, sprites, macros, and other includes for Amazon Web Services (AWS) services and resources. Used to create PlantUML diagrams with AWS components. All elements are generated from the official AWS Architecture Icons and when combined with PlantUML and the C4 model, are a great way to communicate your design, deployment, and topology as code.

Besides usage as custom sprites on PlantUML components, different types of diagrams can quickly and easily be created with the icons (including experimental support for "dark mode").

Table of Contents

Getting Started

In order to incorporate and use the AWS Icons for PlantUML resources, !include statements are added to your diagrams. A common include file/URL defines the base colors, styles, and characteristics for the diagram. Then additional configuration files can be added to further customize the diagram, followed by the elements used in the diagram.

To get started, include the AWSCommon.puml file from the dist directory in each .puml file or PlantUML diagram. This can be referenced by a URL directly to this repository, or by including the file locally. To use this repository, use the following:

!include https://raw.githubusercontent.com/awslabs/aws-icons-for-plantuml/v16.0/dist/AWSCommon.puml

or this if defining the URL:

!define AWSPuml https://raw.githubusercontent.com/awslabs/aws-icons-for-plantuml/v16.0/dist

This references the latest GitHub release version of the referenced file from GitHub when an Internet connection is available. It is recommended not to use the main branch, but instead a specific release version. The examples below reference the current v16.0 release.

All examples reference main and are designed with the most recent files. For consistency of UML diagrams when referencing the files directly via GitHub and not generated locally, it is recommended to use a specific release version.

!include path/to/AWSCommon.puml

❗ Earlier version of PlantUML required !includeurl for URLs. Now !include can be used with local file paths or URLs. Please see the Preprocessing notes for usage.

❗ Syntax of !include <awslib/AWSCommon.puml> uses the embedded plantuml-stdlib. As of the PlantUML version 1.2022.14 update, this includes the Release 14-2022.07.31 icon set.

After inclusion of the AWSCommon.puml file, there are two different ways to reference resources:

  1. Use individual include files - Use one file per service or setting. For example:

    !include AWSPuml/Storage/AmazonSimpleStorageService.puml

  2. Use category include file - Single include that contains all services and resources for that category. For example:

    !include AWSPuml/BusinessApplications/all.puml

All of the services can be found in the dist/ directory, which includes the service or product categories and the corresponding puml files.

For example, including these files from the repository (URL), the includes would look like this:

' Define the main location (URL or local file path)
!define AWSPuml https://raw.githubusercontent.com/awslabs/aws-icons-for-plantuml/v16.0/dist
' Include main AWSCommon and then resource files
!include AWSPuml/AWSCommon.puml
!include AWSPuml/BusinessApplications/all.puml
!include AWSPuml/Storage/SimpleStorageServiceS3.puml

This defines the macro AWSPuml to point to the root of the dist/ directory, which reduces the size of the include statements. Next the AWSCommon.puml file is loaded, and then the actual resource files. In this example, all of the entities in the BusinessApplications directory are added, and then only the AmazonSimpleStorageServiceS3 entity from the Storage directory.

❗ All examples reference the main branch of this repository. It is recommended that one of the release tags be used for documents. New releases will be created when AWS updates the AWS Architecture Icons. The release tag will be similar to the release date from AWS.

Hello World

This is the examples/HelloWorld.puml diagram code:

@startuml Hello World
' Uncomment the line below for "dark mode" styling
'!$AWS_DARK = true

!define AWSPuml https://raw.githubusercontent.com/awslabs/aws-icons-for-plantuml/v16.0/dist
!include AWSPuml/AWSCommon.puml
!include AWSPuml/BusinessApplications/all.puml
!include AWSPuml/Storage/SimpleStorageService.puml

actor "Person" as personAlias
WorkDocs(desktopAlias, "Label", "Technology", "Optional Description")
SimpleStorageService(storageAlias, "Label", "Technology", "Optional Description")

personAlias --> desktopAlias
desktopAlias --> storageAlias

@enduml

This code generates the following diagram:

Examples

Below are some sample diagrams that demonstrate the uses of this repository by using different styles. The images are generated from the source diagram in the examples directory, which reference the PUML files in the dist directory of the main branch of this repository..

Consider these as starting points for how to use the resources in your own documents and diagrams. You may wish to use the icon images in your UML diagrams, use the rectangle entities, or create large and complex C4 model diagrams.

These examples all support the experimental "dark mode", which is enabled by setting '!$AWS_DARK = true before you !include AWSPuml/AWSCommon.puml.

Basic Usage

This example shows AWS IoT processing of messages via the Rules Engine with an error action. It utilizes AWS service entities to show a simple architecture workflow. Each entity has a unique entity name and icon (<<foo..>>), name of function, and additional details or constraints.

@startuml Basic Usage - AWS IoT Rules Engine
' Uncomment the line below for "dark mode" styling
'!$AWS_DARK = true

!define AWSPuml https://raw.githubusercontent.com/awslabs/aws-icons-for-plantuml/v16.0/dist
!include AWSPuml/AWSCommon.puml
!include AWSPuml/InternetOfThings/IoTRule.puml
!include AWSPuml/Analytics/KinesisDataStreams.puml
!include AWSPuml/ApplicationIntegration/SimpleQueueService.puml

left to right direction

agent "Published Event" as event

IoTRule(iotRule, "Action Error Rule", "error if Kinesis fails")
KinesisDataStreams(eventStream, "IoT Events", "2 shards")
SimpleQueueService(errorQueue, "Rule Error Queue", "failed Rule actions")

event --> iotRule : JSON message
iotRule --> eventStream : messages
iotRule --> errorQueue : Failed action message

@enduml

This code generates the following diagram:

Raw Images

The individual icon images (complete list here) can be included in all diagrams. Here are few examples showing image usage on different entities (component, database, and AWS PlantUML).

@startuml Raw usage - Images
' Uncomment the line below for "dark mode" styling
'!$AWS_DARK = true

!define AWSPuml https://raw.githubusercontent.com/awslabs/aws-icons-for-plantuml/v16.0/dist
!include AWSPuml/AWSCommon.puml
!include AWSPuml/MachineLearning/SageMakerModel.puml
!include AWSPuml/Robotics/RoboMaker.puml

component "$SageMakerModelIMG()" as myMLModel
database "$RoboMakerIMG()" as myRoboticService
RoboMaker(mySecondFunction, "Reinforcement Learning", "Gazebo")

rectangle "$SageMakerModelIMG()" as mySecondML

myMLModel --> myRoboticService
mySecondFunction --> mySecondML

@enduml

This code generates the following diagram:

Simplified View

In some cases, PlantUML diagrams may contain too much information, but are still usable for executive or higher level conversations. Using the AWSSimplified.puml file filters out a lot of the technical details, while keeping the interactions between entities. Here is an example of a technical view and simplified view. To generate the simplified view, uncomment the !include statement and regenerate the image.

@startuml Two Modes - Technical View
' Uncomment the line below for "dark mode" styling
'!$AWS_DARK = true

!define AWSPuml https://raw.githubusercontent.com/awslabs/aws-icons-for-plantuml/v16.0/dist
!include AWSPuml/AWSCommon.puml

' Uncomment the following line to create simplified view
' !include AWSPuml/AWSSimplified.puml

!include AWSPuml/General/Users.puml
!include AWSPuml/ApplicationIntegration/APIGateway.puml
!include AWSPuml/SecurityIdentityCompliance/Cognito.puml
!include AWSPuml/Compute/Lambda.puml
!include AWSPuml/Database/DynamoDB.puml

left to right direction

Users(sources, "Events", "millions of users")
APIGateway(votingAPI, "Voting API", "user votes")
Cognito(userAuth, "User Authentication", "jwt to submit votes")
Lambda(generateToken, "User Credentials", "return jwt")
Lambda(recordVote, "Record Vote", "enter or update vote per user")
DynamoDB(voteDb, "Vote Database", "one entry per user")

sources --> userAuth
sources --> votingAPI
userAuth <--> generateToken
votingAPI --> recordVote
recordVote --> voteDb
@enduml

This code generates the following diagram:

And if the !include AWSPuml/AWSSimplified.pumlis uncommented, this simplified view is created:

Sequence Diagrams

Icons can also be used in UML sequence diagrams, either with Participant macros or by just using images and formatting via participant description. Here are examples of both.

@startuml Sequence Diagram - Technical
' Uncomment the line below for "dark mode" styling
'!$AWS_DARK = true

!define AWSPuml https://raw.githubusercontent.com/awslabs/aws-icons-for-plantuml/v16.0/dist
!include AWSPuml/AWSCommon.puml
!include AWSPuml/Compute/all.puml
!include AWSPuml/ApplicationIntegration/APIGateway.puml
!include AWSPuml/General/Internetalt1.puml
!include AWSPuml/Database/DynamoDB.puml

actor User as user
APIGatewayParticipant(api, Credit Card System, All methods are POST)
LambdaParticipant(lambda,AuthorizeCard,)
DynamoDBParticipant(db, PaymentTransactions, sortkey=transaction_id+token)
Internetalt1Participant(processor, Authorizer, Returns status and token)

user -> api: Process transaction\nPOST /prod/process
api -> lambda: Invokes lambda with cardholder details
lambda -> processor: Submit via API token\ncard number, expiry, CID
processor -> processor: Validate and create token
processor -> lambda: Returns status code and token
lambda -> db: PUT transaction id, token
lambda -> api: Returns\nstatus code, transaction id
api -> user: Returns status code
@enduml

The code above generates the fully detailed diagram with stereotypes.

Technical View Sequence Diagram

@startuml Sequence Diagram - Images
' Uncomment the line below for "dark mode" styling
'!$AWS_DARK = true

!define AWSPuml https://raw.githubusercontent.com/awslabs/aws-icons-for-plantuml/v16.0/dist
!include AWSPuml/AWSCommon.puml
!include AWSPuml/AWSExperimental.puml
!include AWSPuml/Compute/Lambda.puml
!include AWSPuml/ApplicationIntegration/APIGateway.puml
!include AWSPuml/General/Internetalt1.puml
!include AWSPuml/General/User.puml
!include AWSPuml/Database/DynamoDB.puml

'Hide the bottom boxes / Use filled triangle arrowheads
hide footbox
skinparam style strictuml

skinparam MaxMessageSize 200

participant "$UserIMG()\nUser" as user
box AWS Cloud
'Instead of using ...Participant(), native creole img tags can be used
participant "$APIGatewayIMG()\nCredit Card System\nAll methods are POST" as api << REST API >>
participant "$LambdaIMG()\nAuthorizeCard\nReturns status" as lambda << python3.9 >>
participant "PaymentTransactions\n$DynamoDBIMG()\nsortkey=transaction_id+token" as db << on-demand >>
endbox
participant "Authorizer\nReturns status and token\n$Internetalt1IMG()" as processor

'Use shortcut syntax for activation with colored lifelines and return keyword
user -> api++ $AWSColor(ApplicationIntegration): <$Callout_1> Process transaction\l<$Callout_SP> ""POST /prod/process""
api -> lambda++ $AWSColor(Compute): <$Callout_2> Invokes lambda with\l<$Callout_SP> cardholder details
lambda -> processor++ $AWS_COLOR_SQUID: <$Callout_3> Submit via API token\l<$Callout_SP> card number, expiry, CID
processor -> processor: Validate and\lcreate token
return status code, token
lambda ->> db: PUT transaction id, token
return status code,\rtransaction id
return status code
@enduml

The code above generates the same sequence diagram demonstrating how colors, text positioning, and stereotypes can be modified.

Image View Sequence Diagram

Groups

Groups are a system element which shows the connection between multiple services or resources. Diagrams that required Groups which overlap across other groups are not possible using PlantUML. Here is an example of a VPC with multiple Availability Zones and subnets.

@startuml VPC
' Uncomment the line below for "dark mode" styling
'!$AWS_DARK = true

!define AWSPuml https://raw.githubusercontent.com/awslabs/aws-icons-for-plantuml/v16.0/dist
!include AWSPuml/AWSCommon.puml
!include AWSPuml/AWSSimplified.puml
!include AWSPuml/Compute/EC2.puml
!include AWSPuml/Compute/EC2Instance.puml
!include AWSPuml/Groups/AWSCloud.puml
!include AWSPuml/Groups/VPC.puml
!include AWSPuml/Groups/AvailabilityZone.puml
!include AWSPuml/Groups/PublicSubnet.puml
!include AWSPuml/Groups/PrivateSubnet.puml
!include AWSPuml/NetworkingContentDelivery/VPCNATGateway.puml
!include AWSPuml/NetworkingContentDelivery/VPCInternetGateway.puml

hide stereotype
skinparam linetype ortho

AWSCloudGroup(cloud) {
  VPCGroup(vpc) {
    VPCInternetGateway(internet_gateway, "Internet gateway", "")

    AvailabilityZoneGroup(az_1, "\tAvailability Zone 1\t") {
      PublicSubnetGroup(az_1_public, "Public subnet") {
        VPCNATGateway(az_1_nat_gateway, "NAT gateway", "") #Transparent
      }
      PrivateSubnetGroup(az_1_private, "Private subnet") {
        EC2Instance(az_1_ec2_1, "Instance", "") #Transparent
      }

      az_1_ec2_1 .u.> az_1_nat_gateway
    }

    AvailabilityZoneGroup(az_2, "\tAvailability Zone 2\t") {
      PublicSubnetGroup(az_2_public, "Public subnet") {
        VPCNATGateway(az_2_nat_gateway, "NAT gateway", "") #Transparent
      }
      PrivateSubnetGroup(az_2_private, "Private subnet") {
        EC2Instance(az_2_ec2_1, "Instance", "") #Transparent
      }

      az_2_ec2_1 .u.> az_2_nat_gateway
    }

    az_2_nat_gateway .[hidden]u.> internet_gateway
    az_1_nat_gateway .[hidden]u.> internet_gateway
  }
}
@enduml

This code generates the following diagram:

VPC Groups Sample

Custom groups can also be constructed using the $AWSDefineGroup macro. Here is an AWS CodePipeline human approval workflow example defining a custom group for AWS CodePipeline.

@startuml AWS CodePipeline - Human Approval Step
' based on https://catalog.us-east-1.prod.workshops.aws/workshops/752fd04a-f7c3-49a0-a9a0-c9b5ed40061b/en-US/codepipeline-extend

' Uncomment the line below for "dark mode" styling
'!$AWS_DARK = true

!define AWSPuml https://raw.githubusercontent.com/awslabs/aws-icons-for-plantuml/v16.0/dist
!include AWSPuml/AWSCommon.puml
!include AWSPuml/ApplicationIntegration/SimpleNotificationService.puml
!include AWSPuml/Compute/EC2.puml
!include AWSPuml/DeveloperTools/CodeBuild.puml
!include AWSPuml/DeveloperTools/CodeCommit.puml
!include AWSPuml/DeveloperTools/CodeDeploy.puml
!include AWSPuml/DeveloperTools/CodePipeline.puml
!include AWSPuml/General/User.puml
!include AWSPuml/Storage/SimpleStorageService.puml

$AWSGroupColoring(CodePipelineGroup, $AWSColor(DeveloperTools))
!define CodePipelineGroup(g_alias, g_label="AWS CodePipeline") $AWSDefineGroup(g_alias, g_label, CodePipeline, CodePipelineGroup)

' Groups are rectangles with a custom style using stereotype - need to hide
hide stereotype
skinparam linetype ortho
skinparam rectangle {
    BackgroundColor $AWS_BG_COLOR
    BorderColor transparent
}

' define custom procedure for AWS Service icon and two lines of text
!procedure $AWSIcon($service, $line1, $line2="")
rectangle "$AWSImg($service)\n$line1\n$line2"
!endprocedure 

CodePipelineGroup(pipeline){
  $AWSIcon(CodeCommit, "AWS CodeCommit") as cc
  $AWSIcon(CodeBuild, "AWS CodeBuild") as cb
  $AWSIcon(SimpleStorageService, "Amazon S3", "(artifact store)") as s3
  cc -r-> cb
  cb -d-> s3

  $AWSIcon(CodeDeploy, "AWS CodeDeploy") as cd1
  $AWSIcon(EC2, "Amazon EC2", "(dev)") as ec2dev
  cb -r-> cd1
  cd1 -d-> ec2dev

  $AWSIcon(User, "Human", "Approval") as user
  cd1 -r-> user

  $AWSIcon(CodeDeploy, "AWS CodeDeploy") as cd2
  $AWSIcon(EC2, "Amazon EC2", "(prod)") as ec2prod
  user -r-> cd2
  cd2 -d-> ec2prod

  $AWSIcon(SimpleNotificationService, "SNS Notification") as sns
  cd2 -r-> sns
}
@enduml

Amazon S3 Upload Workflow Sample

Distribution "Dist" Details

All images, filenames, and content are provided from Amazon Web Services (AWS).

To reduce the length of the filename and ultimately the PUML file details, the leading Amazon or AWS have been removed from the product or service icon.

Beyond that, starting with the v11.1 release, all filenames now follow the original icon names provided by AWS. While this makes the AWS Symbols more difficult to view, this will reduce curation of new releases. It is recommended to use a versions release tag when referencing this repository instead of the main branch.

Advanced Examples

The examples folder includes additional examples, including some that map AWS References Architectures from the AWS Architecture Center.

A set of diagrams in examples/s3-upload-workflow show the architecture for an "S3 Upload Workflow" represented across multiple examples, including using C4-PlantUML.

Customized Builds

It is also possible to customize the creation of the dist/ PUML and PNG files. All details can be found in the Generating the PlantUML Icons for AWS distribution documentation.

Contributing

Please see the CONTRIBUTING.md file for details on how to contribute.

The following, in alphabetical order by name or GitHub username, have contributed to this repository:

License Summary

The icons provided in this package are made available to you under the terms of the CC-BY-ND 2.0 license, available in the LICENSE file. Code is made available under the MIT license in LICENSE-CODE.

Acknowledgements

  • PlantUML - Thank you for the ability to create technical diagrams by writing lines of code/text.
  • Standard Library for PlantUML - Thank you for including a version in the official release of PlantUML.
  • AWS-PlantUML - Thank you for the base structure and understanding how to incorporate new sprites into Plant-UML.
  • Azure-PlantUML - Thank you Ricardo for the elegant look and feel of the repository, diagrams, and the C4 Model.
  • C4 Model - Thanks you for an approach to document solutions without the specificity of UML.

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aws-jwt-verify

JS library for verifying JWTs signed by Amazon Cognito, and any OIDC-compatible IDP that signs JWTs with RS256, RS384, and RS512
TypeScript
452
star
62

amazon-dynamodb-lock-client

The AmazonDynamoDBLockClient is a general purpose distributed locking library built on top of DynamoDB. It supports both coarse-grained and fine-grained locking.
Java
447
star
63

ecs-refarch-service-discovery

An EC2 Container Service Reference Architecture for providing Service Discovery to containers using CloudWatch Events, Lambda and Route 53 private hosted zones.
Go
444
star
64

ssosync

Populate AWS SSO directly with your G Suite users and groups using either a CLI or AWS Lambda
Go
443
star
65

handwritten-text-recognition-for-apache-mxnet

This repository lets you train neural networks models for performing end-to-end full-page handwriting recognition using the Apache MXNet deep learning frameworks on the IAM Dataset.
Jupyter Notebook
442
star
66

awscli-aliases

Repository for AWS CLI aliases.
437
star
67

aws-config-rdk

The AWS Config Rules Development Kit helps developers set up, author and test custom Config rules. It contains scripts to enable AWS Config, create a Config rule and test it with sample ConfigurationItems.
Python
436
star
68

snapchange

Lightweight fuzzing of a memory snapshot using KVM
Rust
427
star
69

aws-security-assessment-solution

An AWS tool to help you create a point in time assessment of your AWS account using Prowler and Scout as well as optional AWS developed ransomware checks.
423
star
70

lambda-refarch-mapreduce

This repo presents a reference architecture for running serverless MapReduce jobs. This has been implemented using AWS Lambda and Amazon S3.
JavaScript
422
star
71

aws-lambda-cpp

C++ implementation of the AWS Lambda runtime
C++
409
star
72

aws-cloudsaga

AWS CloudSaga - Simulate security events in AWS
Python
389
star
73

amazon-kinesis-producer

Amazon Kinesis Producer Library
C++
385
star
74

soci-snapshotter

Go
383
star
75

pgbouncer-fast-switchover

Adds query routing and rewriting extensions to pgbouncer
C
381
star
76

serverless-photo-recognition

A collection of 3 lambda functions that are invoked by Amazon S3 or Amazon API Gateway to analyze uploaded images with Amazon Rekognition and save picture labels to ElasticSearch (written in Kotlin)
Kotlin
378
star
77

amazon-sagemaker-workshop

Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more
Jupyter Notebook
378
star
78

serverless-rules

Compilation of rules to validate infrastructure-as-code templates against recommended practices for serverless applications.
Go
378
star
79

logstash-output-amazon_es

Logstash output plugin to sign and export logstash events to Amazon Elasticsearch Service
Ruby
374
star
80

kinesis-aggregation

AWS libraries/modules for working with Kinesis aggregated record data
Java
370
star
81

smithy-rs

Code generation for the AWS SDK for Rust, as well as server and generic smithy client generation.
Rust
369
star
82

syne-tune

Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
Python
363
star
83

aws-sdk-kotlin

Multiplatform AWS SDK for Kotlin
Kotlin
359
star
84

dynamodb-transactions

Java
354
star
85

amazon-kinesis-client-python

Amazon Kinesis Client Library for Python
Python
354
star
86

aws-serverless-data-lake-framework

Enterprise-grade, production-hardened, serverless data lake on AWS
Python
349
star
87

threat-composer

A simple threat modeling tool to help humans to reduce time-to-value when threat modeling
TypeScript
346
star
88

amazon-kinesis-agent

Continuously monitors a set of log files and sends new data to the Amazon Kinesis Stream and Amazon Kinesis Firehose in near-real-time.
Java
342
star
89

rds-snapshot-tool

The Snapshot Tool for Amazon RDS automates the task of creating manual snapshots, copying them into a different account and a different region, and deleting them after a specified number of days
Python
337
star
90

amazon-kinesis-scaling-utils

The Kinesis Scaling Utility is designed to give you the ability to scale Amazon Kinesis Streams in the same way that you scale EC2 Auto Scaling groups – up or down by a count or as a percentage of the total fleet. You can also simply scale to an exact number of Shards. There is no requirement for you to manage the allocation of the keyspace to Shards when using this API, as it is done automatically.
Java
333
star
91

amazon-kinesis-video-streams-producer-sdk-cpp

Amazon Kinesis Video Streams Producer SDK for C++ is for developers to install and customize for their connected camera and other devices to securely stream video, audio, and time-encoded data to Kinesis Video Streams.
C++
332
star
92

landing-zone-accelerator-on-aws

Deploy a multi-account cloud foundation to support highly-regulated workloads and complex compliance requirements.
TypeScript
330
star
93

route53-infima

Library for managing service-level fault isolation using Amazon Route 53.
Java
326
star
94

aws-automated-incident-response-and-forensics

326
star
95

mxboard

Logging MXNet data for visualization in TensorBoard.
Python
326
star
96

aws-sigv4-proxy

This project signs and proxies HTTP requests with Sigv4
Go
325
star
97

statelint

A Ruby gem that provides a command-line validator for Amazon States Language JSON files.
Ruby
324
star
98

graphstorm

Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.
Python
317
star
99

ecs-nginx-reverse-proxy

Reference architecture for deploying Nginx on ECS, both as a basic static resource server, and as a reverse proxy in front of a dynamic application server.
Nginx
317
star
100

simplebeerservice

Simple Beer Service (SBS) is a cloud-connected kegerator that streams live sensor data to AWS.
JavaScript
316
star