aws-fargate-with-rstudio-open-source | project delivers AWS CDK Python code to provision | AWS library

 by   aws-samples Python Version: Current License: MIT-0

kandi X-RAY | aws-fargate-with-rstudio-open-source Summary

kandi X-RAY | aws-fargate-with-rstudio-open-source Summary

aws-fargate-with-rstudio-open-source is a Python library typically used in Cloud, AWS applications. aws-fargate-with-rstudio-open-source has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. SPDX-License-Identifier: MIT-0. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. This package depends on and may incorporate or retrieve a number of third-party software packages (such as open source packages) at install-time or build-time or run-time ("External Dependencies"). The External Dependencies are subject to license terms that you must accept in order to use this package. If you do not accept all of the applicable license terms, you should not use this package. We recommend that you consult your company's open source approval policy before proceeding. Provided below is a list of External Dependencies and the applicable license identification as indicated by the documentation associated with the External Dependencies as of Amazon's most recent review. THIS INFORMATION IS PROVIDED FOR CONVENIENCE ONLY. AMAZON DOES NOT PROMISE THAT THE LIST OR THE APPLICABLE TERMS AND CONDITIONS ARE COMPLETE, ACCURATE, OR UP-TO-DATE, AND AMAZON WILL HAVE NO LIABILITY FOR ANY INACCURACIES. YOU SHOULD CONSULT THE DOWNLOAD SITES FOR THE EXTERNAL DEPENDENCIES FOR THE MOST COMPLETE AND UP-TO-DATE LICENSING INFORMATION. YOUR USE OF THE EXTERNAL DEPENDENCIES IS AT YOUR SOLE RISK. IN NO EVENT WILL AMAZON BE LIABLE FOR ANY DAMAGES, INCLUDING WITHOUT LIMITATION ANY DIRECT, INDIRECT, CONSEQUENTIAL, SPECIAL, INCIDENTAL, OR PUNITIVE DAMAGES (INCLUDING FOR ANY LOSS OF GOODWILL, BUSINESS INTERRUPTION, LOST PROFITS OR DATA, OR COMPUTER FAILURE OR MALFUNCTION) ARISING FROM OR RELATING TO THE EXTERNAL DEPENDENCIES, HOWEVER CAUSED AND REGARDLESS OF THE THEORY OF LIABILITY, EVEN IF AMAZON HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES. THESE LIMITATIONS AND DISCLAIMERS APPLY EXCEPT TO THE EXTENT PROHIBITED BY APPLICABLE LAW. RStudio Server Open Source Edition - - AGPL-3.0 Shiny Server Open Source Edition - - AGPL-3.0.
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              aws-fargate-with-rstudio-open-source has a low active ecosystem.
              It has 54 star(s) with 9 fork(s). There are 6 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 3 open issues and 1 have been closed. On average issues are closed in 13 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of aws-fargate-with-rstudio-open-source is current.

            kandi-Quality Quality

              aws-fargate-with-rstudio-open-source has no bugs reported.

            kandi-Security Security

              aws-fargate-with-rstudio-open-source has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              aws-fargate-with-rstudio-open-source is licensed under the MIT-0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              aws-fargate-with-rstudio-open-source releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed aws-fargate-with-rstudio-open-source and discovered the below as its top functions. This is intended to give you an instant insight into aws-fargate-with-rstudio-open-source implemented functionality, and help decide if they suit your requirements.
            • Sends an email message
            • Return html content
            • Return text content
            • Return a random id
            Get all kandi verified functions for this library.

            aws-fargate-with-rstudio-open-source Key Features

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            aws-fargate-with-rstudio-open-source Examples and Code Snippets

            No Code Snippets are available at this moment for aws-fargate-with-rstudio-open-source.

            Community Discussions

            QUESTION

            Python/Docker ImportError: cannot import name 'json' from itsdangerous
            Asked 2022-Mar-31 at 12:49

            I am trying to get a Flask and Docker application to work but when I try and run it using my docker-compose up command in my Visual Studio terminal, it gives me an ImportError called ImportError: cannot import name 'json' from itsdangerous. I have tried to look for possible solutions to this problem but as of right now there are not many on here or anywhere else. The only two solutions I could find are to change the current installation of MarkupSafe and itsdangerous to a higher version: https://serverfault.com/questions/1094062/from-itsdangerous-import-json-as-json-importerror-cannot-import-name-json-fr and another one on GitHub that tells me to essentially change the MarkUpSafe and itsdangerous installation again https://github.com/aws/aws-sam-cli/issues/3661, I have also tried to make a virtual environment named veganetworkscriptenv to install the packages but that has also failed as well. I am currently using Flask 2.0.0 and Docker 5.0.0 and the error occurs on line eight in vegamain.py.

            Here is the full ImportError that I get when I try and run the program:

            ...

            ANSWER

            Answered 2022-Feb-20 at 12:31

            I was facing the same issue while running docker containers with flask.

            I downgraded Flask to 1.1.4 and markupsafe to 2.0.1 which solved my issue.

            Check this for reference.

            Source https://stackoverflow.com/questions/71189819

            QUESTION

            Docker push to AWS ECR hangs immediately and times out
            Asked 2022-Mar-30 at 07:53

            I'm trying to push my first docker image to ECR. I've followed the steps provided by AWS and things seem to be going smoothly until the final push which immediately times out. Specifically, I pass my aws ecr credentials to docker and get a "login succeeded" message. I then tag the image which also works. pushing to the ecr repo I get no error message, just the following:

            ...

            ANSWER

            Answered 2022-Jan-02 at 14:23

            I figured out my issue. I wasn't using the correct credentials. I had a personal AWS account as my default credentials and needed to add my work profile to my credentials.

            EDIT
            If you have multiple aws profiles, you can mention the profile name at the docker login as below (assuming you have done aws configure --profile someprofile at earlier day),

            Source https://stackoverflow.com/questions/70452836

            QUESTION

            What is jsconfig.json
            Asked 2022-Mar-29 at 17:49

            If i search the same question on the internet, then i'll get only links to vscode website ans some blogs which implements it.

            I want to know that is jsconfig.json is specific to vscode or javascript/webpack?

            What will happen if we deploy the application on AWS / Heroku, etc. Do we have to make change?

            ...

            ANSWER

            Answered 2021-Aug-06 at 04:10

            This is definitely specific to VSCode.

            The presence of jsconfig.json file in a directory indicates that the directory is the root of a JavaScript Project. The jsconfig.json file specifies the root files and the options for the features provided by the JavaScript language service.

            Check more details here: https://code.visualstudio.com/docs/languages/jsconfig

            You don't need this file when deploy it on AWS/Heroku, basically, you can exclude this from your commit if you are using git repo, i.e., add jsconfig.json in your .gitignore, this will make your project IDE independent.

            Source https://stackoverflow.com/questions/68675994

            QUESTION

            Error: While updating laravel 8 to 9. Script @php artisan package:discover --ansi handling the post-autoload-dump event returned with error code 1
            Asked 2022-Mar-29 at 06:51

            Nothing to install, update or remove Generating optimized autoload files Class App\Helpers\Helper located in C:/wamp64/www/vuexylaravel/app\Helpers\helpers.php does not comply with psr-4 autoloading standard. Skipping. > Illuminate\Foundation\ComposerScripts::postAutoloadDump > @php artisan package:discover --ansi

            ...

            ANSWER

            Answered 2022-Feb-13 at 17:35

            If you are upgrading your Laravel 8 project to Laravel 9 by importing your existing application code into a totally new Laravel 9 application skeleton, you may need to update your application's "trusted proxy" middleware.

            Within your app/Http/Middleware/TrustProxies.php file, update use Fideloper\Proxy\TrustProxies as Middleware to use Illuminate\Http\Middleware\TrustProxies as Middleware.

            Next, within app/Http/Middleware/TrustProxies.php, you should update the $headers property definition:

            // Before...

            protected $headers = Request::HEADER_X_FORWARDED_ALL;

            // After...

            Source https://stackoverflow.com/questions/71103241

            QUESTION

            Python Selenium AWS Lambda Change WebGL Vendor/Renderer For Undetectable Headless Scraper
            Asked 2022-Mar-21 at 20:19
            Concept:

            Using AWS Lambda functions with Python and Selenium, I want to create a undetectable headless chrome scraper by passing a headless chrome test. I check the undetectability of my headless scraper by opening up the test and taking a screenshot. I ran this test on a Local IDE and on a Lambda server.

            Implementation:

            I will be using a python library called selenium-stealth and will follow their basic configuration:

            ...

            ANSWER

            Answered 2021-Dec-18 at 02:01
            WebGL

            WebGL is a cross-platform, open web standard for a low-level 3D graphics API based on OpenGL ES, exposed to ECMAScript via the HTML5 Canvas element. WebGL at it's core is a Shader-based API using GLSL, with constructs that are semantically similar to those of the underlying OpenGL ES API. It follows the OpenGL ES specification, with some exceptions for the out of memory-managed languages such as JavaScript. WebGL 1.0 exposes the OpenGL ES 2.0 feature set; WebGL 2.0 exposes the OpenGL ES 3.0 API.

            Now, with the availability of Selenium Stealth building of Undetectable Scraper using Selenium driven ChromeDriver initiated google-chrome Browsing Context have become much more easier.

            selenium-stealth

            selenium-stealth is a python package selenium-stealth to prevent detection. This programme tries to make python selenium more stealthy. However, as of now selenium-stealth only support Selenium Chrome.

            • Code Block:

            Source https://stackoverflow.com/questions/70265306

            QUESTION

            AttributeError: Can't get attribute 'new_block' on
            Asked 2022-Feb-25 at 13:18

            I was using pyspark on AWS EMR (4 r5.xlarge as 4 workers, each has one executor and 4 cores), and I got AttributeError: Can't get attribute 'new_block' on . Below is a snippet of the code that threw this error:

            ...

            ANSWER

            Answered 2021-Aug-26 at 14:53

            I had the same error using pandas 1.3.2 in the server while 1.2 in my client. Downgrading pandas to 1.2 solved the problem.

            Source https://stackoverflow.com/questions/68625748

            QUESTION

            Terraform AWS Provider Error: Value for unconfigurable attribute. Can't configure a value for "acl": its value will be decided automatically
            Asked 2022-Feb-15 at 13:50

            Just today, whenever I run terraform apply, I see an error something like this: Can't configure a value for "lifecycle_rule": its value will be decided automatically based on the result of applying this configuration.

            It was working yesterday.

            Following is the command I run: terraform init && terraform apply

            Following is the list of initialized provider plugins:

            ...

            ANSWER

            Answered 2022-Feb-15 at 13:49

            Terraform AWS Provider is upgraded to version 4.0.0 which is published on 10 February 2022.

            Major changes in the release include:

            • Version 4.0.0 of the AWS Provider introduces significant changes to the aws_s3_bucket resource.
            • Version 4.0.0 of the AWS Provider will be the last major version to support EC2-Classic resources as AWS plans to fully retire EC2-Classic Networking. See the AWS News Blog for additional details.
            • Version 4.0.0 and 4.x.x versions of the AWS Provider will be the last versions compatible with Terraform 0.12-0.15.

            The reason for this change by Terraform is as follows: To help distribute the management of S3 bucket settings via independent resources, various arguments and attributes in the aws_s3_bucket resource have become read-only. Configurations dependent on these arguments should be updated to use the corresponding aws_s3_bucket_* resource. Once updated, new aws_s3_bucket_* resources should be imported into Terraform state.

            So, I updated my code accordingly by following the guide here: Terraform AWS Provider Version 4 Upgrade Guide | S3 Bucket Refactor

            The new working code looks like this:

            Source https://stackoverflow.com/questions/71078462

            QUESTION

            How can I get output from boto3 ecs execute_command?
            Asked 2022-Jan-13 at 19:35

            I have an ECS task running on Fargate on which I want to run a command in boto3 and get back the output. I can do so in the awscli just fine.

            ...

            ANSWER

            Answered 2022-Jan-04 at 23:43

            Ok, basically by reading the ssm session manager plugin source code I came up with the following simplified reimplementation that is capable of just grabbing the command output: (you need to pip install websocket-client construct)

            Source https://stackoverflow.com/questions/70367030

            QUESTION

            AWS Graphql lambda query
            Asked 2022-Jan-09 at 17:12

            I am not using AWS AppSync for this app. I have created Graphql schema, I have made my own resolvers. For each create, query, I have made each Lambda functions. I used DynamoDB Single table concept and it's Global secondary indexes.

            It was ok for me, to create an Book item. In DynamoDB, the table looks like this: .

            I am having issue with the return Graphql queries. After getting the Items from DynamoDB table, I have to use Map function then return the Items based on Graphql type. I feel like this is not efficient way to do that. Idk the best way query data. Also I am getting null both author and authors query.

            This is my gitlab-branch.

            This is my Graphql Schema

            ...

            ANSWER

            Answered 2022-Jan-09 at 17:06

            TL;DR You are missing some resolvers. Your query resolvers are trying to do the job of the missing resolvers. Your resolvers must return data in the right shape.

            In other words, your problems are with configuring Apollo Server's resolvers. Nothing Lambda-specific, as far as I can tell.

            Write and register the missing resolvers.

            GraphQL doesn't know how to "resolve" an author's books, for instance. Add a Author {books(parent)} entry to Apollo Server's resolver map. The corresponding resolver function should return a list of book objects (i.e. [Books]), as your schema requires. Apollo's docs have a similar example you can adapt.

            Here's a refactored author query, commented with the resolvers that will be called:

            Source https://stackoverflow.com/questions/70577447

            QUESTION

            'AmplifySignOut' is not exported from '@aws-amplify/ui-react'
            Asked 2021-Dec-19 at 14:09

            I've run into this issue today, and it's only started today. Ran the usual sequence of installs and pushes to build the app...

            ...

            ANSWER

            Answered 2021-Nov-20 at 19:28

            I am following along with the Amplify tutorial and hit this roadblock as well. It looks like they just upgraded the react components from 1.2.5 to 2.0.0 https://github.com/aws-amplify/docs/pull/3793

            Downgrading ui-react to 1.2.5 brings back the AmplifySignOut and other components used in the tutorials.

            in package.json:

            Source https://stackoverflow.com/questions/70036160

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install aws-fargate-with-rstudio-open-source

            Create the AWS accounts to be used for deployment and ensure you have admin permissions access to each account. Typically, the following accounts are required:. Install (https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-install.html) AWS CLI and create (https://docs.aws.amazon.com/cli/latest/userguide/cli-configure-files.html) AWS CLI profile for each account (pipeline, rstudio, network, datalake ) so that AWS CDK can be used. Install (https://docs.aws.amazon.com/cdk/latest/guide/work-with-cdk-python.html) AWS CDK in Python and bootstrap each account and allow the Central Development account to perform cross-account deployment to all the other accounts. Ensure you have a docker hub login account, otherwise you might get an error while pulling the container images from Docker Hub with the pipeline - You have reached your pull rate limit. You may increase the limit by authenticating and upgrading: https://www.docker.com/increase-rate-limits. Build the docker container images in Amazon ECR in the central development account by running the image build pipeline as instructed in the readme. Rstudio and Shiny container images are customised from a base of image of rocker/r-ver. The current conatiner use R version 4.1.0. Move into the rstudio_config folder. Pass the instance names in instances and account numbers (comma separated) where rstudio instances will be deployed in the cdk.json paramter rstudio_account_ids. Synthesize the stack Rstudio-Configuration-Stack in the Central Development account. Deploy the Rstudio-Configuration-Stack. This stack should create a new CMK KMS Key to use for creating the secrets with AWS Secrets Maanger. The stack will output the AWS ARN for the KMS key. Note down the ARN. Set the parameter "encryption_key_arn" inside cdk.json to the above ARN. Move into the rstudio_fargate folder. Run the script rstudio_config.sh after setting the required cdk.json parameters. Refer readme in rstudio_fargate folder. Remember to run this script if you change paramters like rstudio_users, rstudio_install_types and rstudio_individual_containers in cdk.json. Run the script check_ses_email.sh with comma separated profiles for rstudio deployment accounts. This will check whether all user emails have been registed with Amazon SES for all the rstudio deployment accounts in the region before you can deploy rstudio/shiny. Remember to run this script whenever you run rstudio_config.sh. Before committing the code into the CodeCommit repository, synthesize the pipeline stack against all the accounts involved in this deployment. The reason behind this is to ensure all the necessary context values are populated into cdk.context.json file and to avoid the DUMMY values being mapped. Deploy the Rstudio Fargate pipeline stack. You need to run the below command only for the first time to create the pipeline. Subsequent code changes will automatically be deployed by AWS CodePipeline on git push to AWS CodeCommit repository. AWS CodePipeline supports up to 50 actions in a stage. If you are deploying multiple instances of RStudio, you will see that the pipeline deploys two instances at a time to work with limit on number of actions in a stage. Once the stack is deployed, monitor the pipeline by using the AWS CodePipeline service from the central development account. The name of the pipeline is RstudioDev. Different stacks will be visible in AWS CloudFormation from the relevant accounts.
            Create the AWS accounts to be used for deployment and ensure you have admin permissions access to each account. Typically, the following accounts are required: Central Development account - this is the account where the AWS Secret Manager parameters, CodeCommit repository, ECR repositories, and CodePipeline will be created. Central Network account - the Route53 base public domain will be hosted in this account Rstudio instance account - You can use as many of these accounts as required, this account will deploy RStudio and Shiny containers for an instance (dev, test, uat, prod etc) along with a bastion container and associated services as described in the solution architecture. Central Data account - this is the account to be used for deploying the data lake resources - such as S3 bucket for picking up ingested source files.
            Install (https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-install.html) AWS CLI and create (https://docs.aws.amazon.com/cli/latest/userguide/cli-configure-files.html) AWS CLI profile for each account (pipeline, rstudio, network, datalake ) so that AWS CDK can be used.
            Install (https://docs.aws.amazon.com/cdk/latest/guide/work-with-cdk-python.html) AWS CDK in Python and bootstrap each account and allow the Central Development account to perform cross-account deployment to all the other accounts. export CDK_NEW_BOOTSTRAP=1 npx cdk bootstrap --profile <AWS CLI profile of central development account> \ --cloudformation-execution-policies arn:aws:iam::aws:policy/AdministratorAccess aws://<Central Development Account>/<Region> npx cdk bootstrap \ --profile <AWS CLI profile of rstudio deployment account> \ --trust <Central Development Account> \ --cloudformation-execution-policies arn:aws:iam::aws:policy/AdministratorAccess \ aws://<RStudio Deployment Account>/<Region> npx cdk bootstrap \ --profile <AWS CLI profile of central network account> \ --trust <Central Development Account> \ --cloudformation-execution-policies arn:aws:iam::aws:policy/AdministratorAccess \ aws://<Central Network Account>/<Region> npx cdk bootstrap \ --profile <AWS CLI profile of central data account> \ --trust <Central Development Account> \ --cloudformation-execution-policies arn:aws:iam::aws:policy/AdministratorAccess \ aws://<Central Data Account>/<Region>
            Ensure you have a docker hub login account, otherwise you might get an error while pulling the container images from Docker Hub with the pipeline - You have reached your pull rate limit. You may increase the limit by authenticating and upgrading: https://www.docker.com/increase-rate-limits
            Build the docker container images in Amazon ECR in the central development account by running the image build pipeline as instructed in the readme. Rstudio and Shiny container images are customised from a base of image of rocker/r-ver. The current conatiner use R version 4.1.0. Using the AWS console, create a CodeCommit repository to hold the source code for building the images - e.g. rstudio_docker_images Clone the GitHub repository and move into the rstudio_image_build folder Using the CLI - Create a secret to store your DockerHub login details as follows: aws secretsmanager create-secret --profile <AWS CLI profile of central development account> --name ImportedDockerId --secret-string '{"username":"<dockerhub username>","password":"<dockerhub password>"}' Create a CodeCommit repository to hold the source code for building the images - e.g. rstudio_docker_images and pass the repository name to the name parameter in cdk.json for the image build pipeline. See https://docs.aws.amazon.com/codecommit/latest/userguide/how-to-create-repository.html for instructions. Pass the account numbers (comma separated) where rstudio instances will be deployed in the cdk.json paramter rstudio_account_ids. Refer readme in rstudio_image_build folder. Synthesize the image build stack cdk synth --profile <AWS CLI profile of central development account> Commit the changes into the CodeCommit repo you created using git Deploy the pipeline stack for container image build cdk deploy --profile <AWS CLI profile of central development account> Log into AWS console in the central development account and navigate to CodePipeline service. Monitor the pipeline (pipeline name is the name you provided in the name parameter in cdk.json) and confirm the docker images build successfully.
            Move into the rstudio_config folder
            Pass the instance names in instances and account numbers (comma separated) where rstudio instances will be deployed in the cdk.json paramter rstudio_account_ids
            Synthesize the stack Rstudio-Configuration-Stack in the Central Development account cdk synth Rstudio-Configuration-Stack --profile <AWS CLI profile of central development account>
            Deploy the Rstudio-Configuration-Stack. This stack should create a new CMK KMS Key to use for creating the secrets with AWS Secrets Maanger. The stack will output the AWS ARN for the KMS key. Note down the ARN. Set the parameter "encryption_key_arn" inside cdk.json to the above ARN cdk deploy Rstudio-Configuration-Stack --profile <AWS CLI profile of rstudio deployment account>
            Move into the rstudio_fargate folder. Run the script rstudio_config.sh after setting the required cdk.json parameters. Refer readme in rstudio_fargate folder. Remember to run this script if you change paramters like rstudio_users, rstudio_install_types and rstudio_individual_containers in cdk.json sh ./rstudio_config.sh <AWS CLI profile of the central development account> "arn:aws:kms:<region>:<profile of central development account>:key/<key hash>" <AWS CLI profile of central data account> <comma separated AWS CLI profiles of the rstudio deployment accounts>
            Run the script check_ses_email.sh with comma separated profiles for rstudio deployment accounts. This will check whether all user emails have been registed with Amazon SES for all the rstudio deployment accounts in the region before you can deploy rstudio/shiny. Remember to run this script whenever you run rstudio_config.sh sh ./check_ses_email.sh <comma separated AWS CLI profiles of the rstudio deployment accounts>
            Before committing the code into the CodeCommit repository, synthesize the pipeline stack against all the accounts involved in this deployment. The reason behind this is to ensure all the necessary context values are populated into cdk.context.json file and to avoid the DUMMY values being mapped. cdk synth --profile <AWS CLI profile of the central development account> cdk synth --profile <AWS CLI profile of the central network account> cdk synth --profile <AWS CLI profile of the central data account> cdk synth --profile <repeat for each AWS CLI profile of the RStudio deplyment account>
            Deploy the Rstudio Fargate pipeline stack. You need to run the below command only for the first time to create the pipeline. Subsequent code changes will automatically be deployed by AWS CodePipeline on git push to AWS CodeCommit repository. AWS CodePipeline supports up to 50 actions in a stage. If you are deploying multiple instances of RStudio, you will see that the pipeline deploys two instances at a time to work with limit on number of actions in a stage. cdk deploy --profile <AWS CLI profile of the central development account> Rstudio-Piplenine-Stack

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