reference-architectures | templates and scripts for deploying Azure Reference | Azure library

 by   mspnp C# Version: Current License: Non-SPDX

kandi X-RAY | reference-architectures Summary

kandi X-RAY | reference-architectures Summary

reference-architectures is a C# library typically used in Cloud, Azure applications. reference-architectures has no bugs, it has no vulnerabilities and it has low support. However reference-architectures has a Non-SPDX License. You can download it from GitHub.

Microsoft patterns & practices. This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.
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              reference-architectures has a low active ecosystem.
              It has 640 star(s) with 564 fork(s). There are 98 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 45 have been closed. On average issues are closed in 148 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of reference-architectures is current.

            kandi-Quality Quality

              reference-architectures has no bugs reported.

            kandi-Security Security

              reference-architectures has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              reference-architectures has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

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              reference-architectures releases are not available. You will need to build from source code and install.

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            Community Discussions

            QUESTION

            Can a MassTransit Consumer Saga be InitiatedBy the same message(s) that it Orchestrates?
            Asked 2020-Nov-03 at 20:09

            The new support for Event Hub Riders in 7.0 plus the existing InMemoryRepository backing for Sagas looks like it could provide a straightforward means of creating aggregate states based on a stream of correlated messages, e.g. across all sensors in a Building). In this scenario, the Building's Identifier would be used as the CorrelationId of the Messages, the Saga, and as the PartitionKey of the EventData messages sent to the Event Hub, ensuring the same consuming service instance receives all messages for that device at a given time. Given the way Event Hub's rebalancing works, it can be assumed that at some point while this service is running, the service instance managing messages for a Partition will shift to a new host, which will start reading messages sent by the sensors in the building. At that moment:

            1. The new host does not know anything about the old host's processing. It just knows that it is now receiving messages for the Event Hub partition that includes that Building's messages.
            2. The devices sending the messages do not know anything about the transition in state aggregation responsibility "downstream of them" - they are still happily reporting new measurements as always.

            The challenge this creates is: on the new service instance, we need a new Saga to be created to take over for the previous Saga, but the only thing that knows no Saga lives for a given entity is MassTransit: nothing on the new instance knows a sensor reading from Building A is the first one from Building A since this service instance took over tracking the aggregate Building A state. We thought this could be handled by marking the same Message (DataCollected) with both InitiatedBy and Orchestrates:

            ...

            ANSWER

            Answered 2020-Nov-03 at 20:09

            As per Chris Patterson's comments on the question above, this is achievable with the state machine syntax:

            Source https://stackoverflow.com/questions/64420661

            QUESTION

            Port over existing MVC user authentication to Azure functions
            Asked 2020-Jan-23 at 16:23

            I have an old web application which is using ASP.net with the build in cookie based authentication which has the standard ASP.net SQL tables for storing the users credentials.

            This is currently running as an Azure web app, but I was toying with the idea of trying to go serverless as per this example creating a ReactJs SPA hosting on blob storage to try and keep costs down and also improve performance without breaking the bank.

            https://docs.microsoft.com/en-us/azure/architecture/reference-architectures/serverless/web-app

            I was wondering if it is possible to port over the existing ASP.net authentication to Azure functions, to instead return a JWT (JSON Web Token) which could be passed back in the headers to handle authenticated requests.

            When I have tried this in the past I have failed misserably, so I was wondering if anyone knows if it is possible?

            I've seen this article, which seems to talk about Azure functions doing authentication, but with Azure AD, which I don't think is right for what I need.

            https://blogs.msdn.microsoft.com/stuartleeks/2018/02/19/azure-functions-and-app-service-authentication/

            ...

            ANSWER

            Answered 2020-Jan-23 at 16:23

            The answer is kind of. What I mean by this is that you can use your existing database and many of the same libraries, but you can't port over the code configuration. The default authentication for Functions is either 1) The default API tokens or 2) one of the EasyAuth providers baked into App Services which is in the guide you linked. Currently, any other solution you'll need to setup yourself.

            Assuming you go with the JWT option, you'll need to turn off all of the built-in authentication for Functions. This includes setting your HttpRequest functions to AuthorizationLevel.Anonymous.

            At a basic level You'll need to create two things. A function to issue tokens, and either a DI service or a custom input binding to check them.

            Issuing tokens

            The Functions 2.x+ runtime is on .NET Core so I'm gong to borrow some code from this blog post that describes using JWTs with Web API. It uses System.IdentityModel.Tokens.Jwt to generate a token, which we could then return from the Function.

            Source https://stackoverflow.com/questions/59555660

            QUESTION

            I am getting error while executing aws cloudformation template,throwing error ROLLBACK_COMPLETE
            Asked 2019-Oct-09 at 19:04
            AWSTemplateFormatVersion: '2010-09-09'
            Transform: AWS::Serverless-2016-10-31
            Description: "Template to set up Kinesis stream, Lambda functions, S3 bucket, DynamoDB table and related IAM roles for AWS Lambda Real-time Stream Processing Reference Architecture. PLEASE NOTE: The CloudFormation Stack Name must be all lowercase as it is used as part of the S3 bucket name. Otherwise the stack creation will fail."
            Parameters: 
              LambdaS3Bucket: 
                Type: String
                Default: awslambda-reference-architectures
                Description: Name of S3 bucket where Lambda function packages are stored.
              LambdaDDBEventProcessorS3Key:
                Type : String
                Default : stream-processing/ddb_eventprocessor.zip
                Description : Name of S3 key for Zip with Stream Processing DynamoDB Event Processor Lambda function package.
              LambdaDDBEventProcessorHandler:
                Type : String
                Default : ddb_eventprocessor.handler
                Description : Name of handler for Stream Processing DynamoDB Event Processor Lambda function.
            Resources:
              EventStream:
                Type: 'AWS::Kinesis::Stream'
                Properties:
                  ShardCount: 1
              DDBEventProcessor:
                Type: 'AWS::Serverless::Function'
                Properties:
                  Description: Stream Processing DDB Event Processor
                  Handler: !Ref LambdaDDBEventProcessorHandler
                  MemorySize: 128
                  Role: !GetAtt 
                    - EventProcessorExecutionRole
                    - Arn
                  Timeout: 10
                  Runtime: nodejs6.10
                  CodeUri:
                    Bucket: !Ref LambdaS3Bucket
                    Key: !Ref LambdaDDBEventProcessorS3Key
                  Events:
                    Stream:
                      Type: Kinesis
                      Properties:
                        Stream: !GetAtt EventStream.Arn
                        StartingPosition: TRIM_HORIZON
                        BatchSize: 25
              EventDataTable:
                Type: 'AWS::DynamoDB::Table'
                Properties:
                  AttributeDefinitions:
                    - AttributeName: Username
                      AttributeType: S
                    - AttributeName: Id
                      AttributeType: S
                  KeySchema:
                    - AttributeName: Username
                      KeyType: HASH
                    - AttributeName: Id
                      KeyType: RANGE
                  ProvisionedThroughput:
                    ReadCapacityUnits: '1'
                    WriteCapacityUnits: '1'
                  TableName: !Join 
                    - ''
                    - - !Ref 'AWS::StackName'
                      - '-EventData'
              EventProcessorExecutionRole:
                Type: 'AWS::IAM::Role'
                Properties:
                  AssumeRolePolicyDocument:
                    Version: 2012-10-17
                    Statement:
                      - Effect: Allow
                        Principal:
                          Service:
                            - lambda.amazonaws.com
                        Action:
                          - 'sts:AssumeRole'
                  Path: /
                  Policies:
                    - PolicyName: EventProcessorExecutionPolicy
                      PolicyDocument:
                        Version: 2012-10-17
                        Statement:
                          - Effect: Allow
                            Action:
                              - 'logs:*'
                            Resource: 'arn:aws:logs:*:*:*'
                          - Effect: Allow
                            Action:
                              - 'dynamodb:BatchWriteItem'
                            Resource: !Join 
                              - ''
                              - - 'arn:aws:dynamodb:'
                                - !Ref 'AWS::Region'
                                - ':'
                                - !Ref 'AWS::AccountId'
                                - ':table/'
                                - !Ref 'AWS::StackName'
                                - '-EventData'
                  ManagedPolicyArns:
                    - 'arn:aws:iam::aws:policy/service-role/AWSLambdaKinesisExecutionRole'
              streamprocessingclient:
                Type: 'AWS::IAM::User'
              ClientPolicy:
                Type: 'AWS::IAM::Policy'
                Properties:
                  PolicyName: StreamProcessingClientPolicy
                  PolicyDocument:
                    Statement:
                      - Effect: Allow
                        Action:
                          - 'kinesis:Put*'
                        Resource: !Join 
                          - ''
                          - - 'arn:aws:kinesis:'
                            - !Ref 'AWS::Region'
                            - ':'
                            - !Ref 'AWS::AccountId'
                            - ':stream/'
                            - !Ref EventStream
                  Users:
                    - !Ref streamprocessingclient
              ClientKeys:
                Type: 'AWS::IAM::AccessKey'
                Properties:
                  UserName: !Ref streamprocessingclient
            Outputs:
              AccessKeyId:
                Value: !Ref ClientKeys
                Description: AWS Access Key Id of stream processing client user
              SecretAccessKey:
                Value: !GetAtt 
                  - ClientKeys
                  - SecretAccessKey
                Description: AWS Secret Key of stream processing client user
              KinesisStream:
                Value: !Ref EventStream
                Description: The Kinesis stream used for ingestion.
              Region:
                Value: !Ref 'AWS::Region'
                Description: The region this template was launched in.
            
            ...

            ANSWER

            Answered 2019-Oct-09 at 19:04

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

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