performance-optimization's Introduction

Optimizing Performance for Cloud Applications

This repo contains sample code for a set of performance antipatterns.

Documentation and guidance for these patterns can be found on the Azure Architecture Center. For each antipattern, the documentation describes why the antipattern typically occurs, symptoms of the antipattern, and techniques for resolving the problem. The corresponding sample code shows (1) the problem and (2) a recommended way to fix the problem.

Antipattern	Description	Load test
Busy Database	Offloading too much processing to a data store.	Load testing Busy Database
Busy Front End	Moving resource-intensive tasks onto background threads.	Load testing Busy Front End
Chatty I/O	Continually sending many small network requests.	Load testing Chatty I/O
Extraneous Fetching	Retrieving more data than is needed, resulting in unnecessary I/O.	Load testing Extraneous Fetching
Improper Instantiation	Repeatedly creating and destroying objects that are designed to be shared and reused.	Load testing Improper Instantiation
Monolithic Persistence	Using the same data store for data with very different usage patterns.	Load testing Monolithic Persistence
No Caching	Failing to cache data.	Load testing No Caching
Synchronous I/O	Blocking the calling thread while I/O completes.	Load testing Synchronous I/O

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