Cloud Patterns - Andrei Dzimchuk

30 June 2017

Be prepared for downstream failures by implementing the Circuit Breaker pattern

When building distributed applications we need to make sure that when we talk to a remote services or our microservices talk to each other we can handle downstream call failures and either recover automatically or gracefully degrade our own service instead of failing outright.

16 June 2015

Make sure to implement transient fault handling when running in the cloud

Applications running in the cloud or just making use of various external services are likely to face temporary failures when trying to communicate with these services. These failures could be network connectivity issues or request timeouts when external services are overloaded.

3 March 2015

Implementing External Configuration Store Pattern on Azure

Configuration management is an important part of running and evolving public facing services when down time is not tolerated and you need maximum flexibility in adjusting settings of running services. Implementing External Configuration Store Pattern opens up some great possibilities for you like...

29 September 2014

A better implementation of a priority queue

In my previous post I provided a sample implementation of the Priority Queue pattern that was multiplexing messages from several queues through a dispatcher to a limited number of worker threads. While the basic idea looks good there were a couple of issues...

15 September 2014

Insuring exclusive processing of queue messages in Azure

It is pretty common that you have multiple instances of your worker process grabbing messages off the queues in a competing manner. What you often want to achieve is that every single message is processed exclusively by a single instance. That single instance may successfully complete...

18 August 2014

Adding SLAB out-of-process service to Azure cloud services

One great feature that Semantic Logging Application Block provides is an ability to use out-of-process service to listen to your messages. The idea is to move the logging sinks to another process so that messages don’t get lost if your application process crashes or it is terminated unexpectedly.

30 July 2014

A sample implementation of a priority queue based on Azure Service Bus

Last time I was talking about what a priority queue is and how we can approach designing it. In this post I want to guide you through a sample implementation of such a queue that won’t require dedicated computing resources per each priority.

28 July 2014

Implementing a priority queue on Microsoft Azure

Queues allow you to decouple components so that they process data or perform tasks in asynchronous manner. This greatly improves scalability and responsiveness of your application. Priority queues allow publishers influence the sequence in which requests are processed.

15 July 2014

Insuring proper payload when using Semantic Logging Application Block

I and my team have been using SLAB on our project where we create cloud services running on Azure. It’s important for publicly faced services to log everything so it's possible while analyzing that data to have a decent idea of what happened and how our services were used.