Generating Dynamic Open Graph Images with Azure Functions
Oct 08, 2020 · 6 min read
Open Graph (OG) tags allow you to control what content shows up when you share the webpage on major social media sites such as Facebook, Twitter, and Google. The essential Open Graph properties that you must configure in the <head> section of your webpage are the following. og:title: The title of your webpage. og:image: An image URL displayed as the thumbnail of your webpage when it is shared. The recommended dimension of this image is 1200px X 627 px.
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Integration Tests for gRPC Services in ASP.NET Core
Oct 01, 2020 · 6 min read
The default implementation of the gRPC on .NET - Grpc.net is built on Grpc.Core which uses the protoc tool (see: ProtoCompilerOutput) to generate C# artifacts from .proto files. Also, it adds complexity to testing the services and sharing the contracts with clients. The proto files are artifacts/files shared between the clients and the server that need to be managed and kept synced between the two parties. It is important to note that protobuf is simply a serialization format, and it is not dependent on proto files.
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Enable TLS on HTTP Triggered Function App in Kubernetes Using KEDA and NGINX
Sep 26, 2020 · 4 min read
With KEDA (Kubernetes-based Event-Driven Autoscaling), you can host Azure Functions on Kubernetes. KEDA allows you to scale pods based on configurable rules that rely on metrics from data sources such as Azure Queue. The Microsoft documentation outlines how you can use the Prometheus scaler to scale HTTP triggered Azure functions. However, it does not discuss the the security of the transport channel in detail. This quick tip will demonstrate how you can expose your HTTP triggered Azure Functions over TLS/SSL (HTTPS endpoint).
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Dynamic Admission Control in AKS with Azure Functions
Sep 20, 2020 · 15 min read
This article is part of #ServerlessSeptember. You’ll find other helpful articles, detailed tutorials, and videos in this all-things-Serverless content collection. New articles from community members and cloud advocates are published every week from Monday to Thursday through September. Find out more about how Microsoft Azure enables your Serverless functions at https://docs.microsoft.com/azure/azure-functions/. Controlling resource deployments in your Azure Kubernetes Service (AKS) cluster can quickly become quite challenging. For instance, pushing a change to the production environment might introduce undesirable vulnerabilities to the application.
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No Code Incident Management System with Azure Logic Apps
Sep 06, 2020 · 8 min read
In this lab, we will create an Azure Logic App that monitors Twitter, analyzes the sentiment of customer tweets with Text Analytics v2 service, and creates incidents in Pager Duty. PagerDuty is an incident management platform that provides reliable notifications, automatic escalations, on-call scheduling, and other functionality to help teams detect and fix problems quickly. This application can help customer service agents react swiftly to customer complaints and avoid brand reputation damages.
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Cheapskate’s Journey to On-Demand Load Tests on Heroku with Locust
Jun 20, 2020 · 17 min read
I want to stretch every dollar that I spend on the cloud. I run a handful of web applications on Heroku, and like everyone else, run a suite of smoke tests and load tests on every release increment in a non-production environment. Load tests are important: they help us not only to understand the limits of our systems but also bring up issues that arise due to concurrency, which often escape the realms of unit tests and integration tests.
#azure #heroku #devops #programming
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Using Startup Command to Pass Command Line Arguments to Azure App Service for Linux
Jun 06, 2020 · 6 min read
Azure App Service on Linux has several pre-fabricated Docker images that support applications written in languages such as .NET core, PHP, and Node.js. App Service also supports using your own Docker image to spin up a container for your application. A useful configuration feature of App Service on Linux is the Startup File configuration that you can set as part of configuring the runtime stack. The value that you specify for the configuration overrides the CMD instruction of the Dockerfile that creates the runtime of the application.
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VS Code Remote Development with Docker Compose: Developing services in Standalone and Integrated Modes
May 26, 2020 · 12 min read
VS Code remote development is a brilliant feature from the VS Code team. Using the extensions available in the VS Code remote extension pack, you can develop your applications in an external development environment viz. a remote server (through SSH), containers, and WSL. The premise of the three modes of development is the same. The application code is stored either on your local system (on container and WSL through volume mount) or remote server (through SSH), and the local instance of the VS Code attaches itself to the external system through an exposed port (container and WSL), or SSH tunnel (remote server).
Istio Succinctly
Apr 21, 2020 · 4 min read
I am super happy to announce the release of my new eBook: Istio Succictly, published by Syncfusion. You can grab a copy of the book for free by clicking this link. If you are familiar with Kubernetes and want to augment your Kubernetes clusters with the most popular Service Mesh implementation, Istio, then this book is for you. In Istio Succinctly, we have tried to comprehensively cover the quintessence of Istio without sacrificing the necessary concepts and theory behind it.
Durable Cloud Event Production from Knative Container Source with Azure Durable Task Framework
Jan 15, 2020 · 11 min read
Knative is an excellent platform for building, deploying and managing serverless workloads on Kubernetes. The Serving resources of Knative extend Istio to support serverless applications. Another class of resources of Knative called Eventing extend Istio to support the production and consumption of Cloud Events. Knative offloads the responsibility of scaling the workloads from the users by only activating pods when they receive a request. It scales out the workload pods based on the number of requests and scales pods down to zero when they are idle.