Introduction

If you’ve read the first two posts in this series, welcome back. So far in our story, our heroes – microservices and serverless functions – save us from a monolithic meltdown. Go have a read if you’d like to laugh, cringe, and learn from my adventures.

This final post covers a different project. We had...

Introduction

If you’ve read part one of this series, welcome back. If you didn’t, it was an action-packed exposé on start-up life and the ways in which microservices will decrease your stress and your snack budget. Pour your beverage of choice and go read it.

In chapter two - the project hits the big-time. Serverless 

Introduction

In the early days of my career, monolithic APIs were common. SOAP and XML were still popular - REST and JSON were the new kids on the block.

I worked in a development team that had inherited a monolithic API. A bad deployment left multiple key systems inoperable, and our support lines were inundated to...

Introduction

In the previous post of the series, we described the design of an approach to meet common observability requirements of distributed services using Azure Functions. Now, in this post, we are going to cover how this can be implemented and how we can query and analyse the produced tracing logs.

This post...

Introduction

In my previous post, I discussed why it is important to consider traceability and observability practices when we are designing distributed services, particularly when these are executed in the background with no user interaction. I also covered common requirements from an operations team supporting...

Introduction

As developers, we tend to focus our efforts on building and shipping our services and apps to production, but it’s quite common that we forget to think about what happens after go-live. Once we reach production, the solution becomes someone else’s problem. But, even if we could build bug-free services,...

When implementing modern application integration solutions, we rely on platforms that abstract many of the challenges inherent to these types of solutions. While the Enterprise Integration Patterns previously covered in this series describe architectural and implementation patterns, the Platform Management patterns...

It is quite common that integration solutions interact with diverse applications, each with disparate data models and heterogeneous formats. In this post, we will discuss the Message Transformation patterns and how these can be implemented on Azure to overcome the challenges derived from working with different...

In the previous post of the series on the Enterprise Integration Patterns on Azure, I explored the Messaging Endpoint patterns, which abstract integration interfaces from the application internals when building messaging-based integration solutions. In this post, I will cover the Message Routing patterns on Azure,...

This post is part of a series

1. Your Own Serverless Request Bin with Azure Functions
2. Your Own Serverless Request Bin with Azure Durable Functions (this)

In a previous post, I shared how you can deploy a Serverless Request Bin using Azure Functions. I also shared how I built it using a memory cache as a persistence...