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Azure Functions 2.0: Create Function App from Docker Image (Functions triggered by Cosmos DB, Blob storage, Event Hub and SignalR service bindings)

This is second part of the series on developing and deploying Azure Functions 2.0 where I will

  • Create a function triggered by Azure Cosmos DB
  • Create Azure SignalR Service bindings for Azure Functions 2.0
  • Publish Docker Image to Docker Hub
  • Create Function App from Docker Image in Azure Portal
  • Deploy functions to Azure Kubernetes Service from VS Code

The first part of the series provides details on creating functions triggered by Azure Blob storage and Event hub in Visual Studio Code along with deploying Azure Functions to Azure Kubernetes Service (AKS).

Azure Functions 2.0: Create, debug and deploy to Azure Kubernetes Service (AKS)

Dev tools used to develop these components are Visual Studio Code for macOS and Docker. The complete source code for this article can be downloaded from GitHub.

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ASP.NET Core 2.1 Web API – Load App Configuration from appsettings.json, Dockerfile environment variables, Azure Key Vault Secrets and Kubernetes ConfigMaps/Secrets

This article is second part of the series on Deploying Angular, ASP.NET Core and SQL Server on Linux to Azure Kubernetes Service (AKS) cluster. The first part, describes steps needed to deploy these components to AKS. App configuration in ASP.NET Core is based on key-value pairs established by configuration providers. Configuration providers read configuration data into key-value pairs from a variety of configuration sources. In this article I am going to share multiple ways to load App configuration in ASP.net Core Web API

  • Hosting Environment specific appsettings.json
  • Dockerfile Environment Variables
  • Kubernetes
    • Container Environment variables with data from ConfigMap/Secret
    • Populate Volume (Config file) with data stored in a ConfigMap/Secret
  • Azure Key Vault Secrets

The tools used to develop these components are Visual Studio for Mac/VS Code/VS 2017, AKS Dashboard, Docker for Desktop and kubectl. The formatting of code snippets in this article may get distorted (especially yaml), thus please refer to GitHub repository for complete source code for this article.

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Ingest Azure Redis Cache messages into Elasticsearch, Logstash and Kibana cluster deployed in Azure Kubernetes Service (AKS)

This is third article on the series on deploying Elasticsearch, Logstash and Kibana (ELK) in Azure Kubernetes Service (AKS) cluster. The first article covered deploying non-SSL ELK to AKS and consuming messages from Azure Event Hub. The second article described how to secure communications in ELK and use Azure AD SAML based SSO for Kibana and Elasticsearch. In this article I am going to share steps needed to ingest Azure Redis Cache messages into Elasticsearch using Logstash’s Redis plugin.

Azure Redis Cache is based on the popular open-source Redis cache. It is typically used as a cache to improve the performance and scalability of systems that rely heavily on backend data-stores. Logstash’s Redis plugin will read events from Redis instance. I will create a Logstash event processing pipeline where I will define Redis as input and Elasticsearch as output. The component diagram has been updated to add Azure Redis Cache integration.

The dev tools used to develop these components are Visual Studio for Mac/VS Code, AKS Dashboard, kubectl, bash and openssl. The code snippets in this article are mostly yaml snippets and are included for reference only as formatting may get distorted thus please refer to GitHub repository for formatted resources.

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Azure Functions 2.0: Create, debug and deploy to Azure Kubernetes Service (AKS)

Azure Functions is a serverless compute service that enables you to run code on-demand without having to explicitly provision or manage infrastructure. You can read about Azure Functions 2.0 general availability @ Introducing Azure Functions 2.0.  Runtime 2.0 runs on .NET Core 2, which means it can run on all platforms supported by .NET Core, including macOS and Linux. This enables cross-platform development and hosting scenarios.

In this article I am going to

  • Create Azure Functions triggered by Azure Blob storage and Event hub in Visual Studio Code
  • Debug locally in Visual Studio Code
  • Deploy Azure Functions to Azure Kubernetes Service

Dev tools used to develop these components are Visual Studio Code for macOS, Docker, AKS Dashboard and kubectl.

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Azure Kubernetes Service (AKS): Deploying Elasticsearch, Logstash and Kibana (ELK) and consume messages from Azure Event Hub

This article is part of the series of blogs on Azure Kubernetes Service (AKS). In this article I am going to share my experience of setting up Elasticsearch, Logstash and Kibana cluster in Azure Kubernetes Service (AKS) and consume messages from Event Hub. After the end of this article, we are going to have fully functional ELK stack with Azure Event Hub integration.

A sample client App (e.g. IOT device) will be publishing messages to Event Hub and these messages will be ingested into Elasticsearch using ‘Azure Event Hub’ plugin of Logstash. This article needs x-pack features of Elasticsearch thus I will show steps needed to activate trial license.

The second part of this series  goes through steps needed to enable Azure AD SAML based single sign on to secure Elasticsearch and Kibana hosted in AKS. The third part of this series goes through steps needed to ingest Azure Redis Cache messages into Elasticsearch using Logstash’s Redis plugin.

The dev tools used to develop these components are Visual Studio for Mac/Visual Studio 2017, AKS Dashboard as well as kubectl commands are used to create/manager Kubernetes resources in AKS.

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Azure Dev Spaces – Debug Containers directly in Azure Kubernetes Service (AKS) from Visual Studio 2017

This is second part of the series on Azure Dev Spaces. The first part of this services describes steps needed to deploy Angular App and ASP.net Core Web API to AKS using Azure Dev Spaces. This article will show ease of debugging containers deployed in AKS from Visual Studio 2017.

In the first part of this series, I had created a sample ASP.net Core Web API app and deployed that to AKS using Azure Dev Spaces. The steps needed to debug ASP.net Core Web API application running in AKS are

  • Install Visual Studio Tools for Kubernetes. Once installation completes, open ‘Tools -> Extensions and Updates’ in Visual Studio and update this extension for any updates.
  • Open SampleWebApp solution in Visual Studio. The source code can be downloaded from GitHub.
  • Select Debug target as Azure Dev Spaces

  • Add a breakpoint in Get method of UsersController which we are going to debug
  • Start Debugging and select AKS cluster and Space in Azure Dev Spaces prompt
  • You can get public URL from Output window by selecting Azure Dev Spaces as displayed below
  • Open http://{URL}/api/users in browser and request will hit the breakpoint added previously

You can check the status of URL by running command azds list-uris. If URL isn’t available for more than 5 minutes you will need to delete PODS as explained in previous article. This completes this article which showed how easy it is to debug containers deployed in AKS from Visual Studio 2017 using Azure Dev Spaces.

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Azure Dev Spaces – Deploying Angular and ASP.net Core App to Azure Kubernetes Service (AKS)

This article will show the ease of running and deploying containers in Azure Kubernetes Service (AKS) with minimal dev machine setup with Azure Dev Spaces. I am going to reuse sample application components from my previous article on AKS. With Azure Dev Spaces, you can develop on Windows, Mac, or Linux using familiar tools like Visual Studio, Visual Studio Code, or the command line. I have chosen Visual Studio Code on Mac.

In this article, I will share the steps needed to deploy sample application I created in Angular and ASP.net Core Web API using Azure Dev Spaces.

At time of writing this article Azure Dev Spaces is in preview and is isn’t available in all regions.

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