Applications running in the cloud should expect to handle a large number of requests. One method of dealing with large amounts of requests is to pass them through a message broker to a consumer service that handles these requests asynchronously. This helps ensure that requests are being processed without throttling or degrading the performance of our applications.
The volume of these requests can vary over a period of time. Imagine that you’re a developer for an e-commerce website....
The Retry Pattern and Retry Storm Anti-pattern
When developing cloud applications, we’ll be interacting with remote services that can suffer from transient faults. Our applications need to be able to handle transient failures when trying to connect to remote services, and retry a failed operation to improve the stability of your applications. This is where the Retry pattern comes into play.
N.B Transient faults are faults that include the momentary loss of network connectivity to components and services, the temporary unavailability of a service, and timeouts that occur when a service is busy....
The Claim-Check Pattern (reference-based messaging)
The Claim-Check pattern, or Reference-Based Messaging, is a pattern where we split a large message into a claim check and a payload. The claim check is sent to our message broker and the payload will be stored in an external data store.
This pattern enables us to process large messages, while preventing our message bus from being overloaded and prevent our client applications slowing down. We can also reduce costs with this pattern, but utilizing cheap storage alternatives rather than increasing the resource units used by our message broker....
Improving Azure AI Search results with semantic search
In Azure AI Search, semantic ranking improves our searches by using language understanding to rerank search results. Semantic search is a collection of query capabilities that improve the quality of search results using text-based queries. Using semantic search we can:
Improve Search Results by adding a ranking over initial search results using advanced algorithms that consider the context and meaning of the query, resulting in more relevant search outcomes. Provides Additional Information by extracting and displaying captions and answers from search results, which can be used to improve the user’s search experience....
Introduction to analyzing text with Azure AI Language Service and C#
How much text data do you produce on a daily basis? This could be in the form of an email you send to a colleague, or posts you send on social media. You may have gone to a new restaurant and given them a review online, or you could have created some documents such as contracts as part of your work. Now imagine all that data being created on a global scale....
