Cloud Authority

CodeProject Hello folks, In this post, we'll talk a little bit about Redis cluster. Limitations of Redis cluster. How we can overcome the limitations of redis cluster. Redis cluster is a distributed implementation of Redis with three major goals: High performance and linear scalability upto 1000 nodes. Acceptable degree of write safety. Availability: Redis cluster is able to survive partitions where the majority of the master nodes are reachable and there is at least one reachable slave for every master node that is no longer reachable. As an example, let's take a look at the following cluster configuration with six nodes. Node A (master node) Node B (master node) Node C (master node) Node D (slave of master node A) Node E (slave of master node B) Node F (slave of master node C) Now at this point, a natural question may arise, "When I write to a Redis key, how a node is picked up to store that key or what are the factors that decide which node to sto

CodeProject Hello Folks, Caching has always been an important part of a good application design and performance optimization. Fetching something over the network is both slow and expensive; large responses require many round-trips between the client and server, which delays when they are available and can be processed by the browser, and also incurs data costs for the visitor. As a result, the ability to cache and reuse previously fetched resources is a critical aspect of optimizing for performance. In this post, we'll see how we can optimize performance by using "Cache-Control" header in Azure Blob Storage.For this, I assume you have an Azure subscription and have a Storage account. Let's see step by step how we can add "Cache-Control" header to a block blob. In this example we'll upload an image to Azure Blob Storage from a simple ASP.Net application. 1. Go to Azure Portal -> Storage->Containers and create a new container. You can selec