The AWS Cloud has an extensive global presence that is used by customers around the world to build applications with presence in international markets to achieve agility, cost savings, elasticity, and a wide range of services that simplify the deployment of their platforms and services.More and more customers are enabling their workloads in the AWS Cloud, however, integration with legacy applications sometimes makes this task difficult. For these reasons, the need arises to implement a hybrid architecture that allows you to integrate the customer's data center with the AWS cloud so that it can be seen as an extension of your network. Say no to plagiarism. Get a tailor-made essay on "Why Violent Video Games Shouldn't Be Banned"? Get an original essay With AWS Direct Connect, you can enable a connection from on-premises to the AWS cloud, or you can set up an IPSec VPN in your virtual private cloud (VPC). Some customers report high latency between their architecture on AWS and their on-premises database. Sometimes it is found that the service responsible for the high latency is the database and not the distance. This issue can be resolved by moving the database to Amazon Relational Database Service (RDS) and creating RDS read replicas, however, the licensing scheme of the database prevents moving it to AWS. Another challenge while moving is the integration between application and database since the system is in production and it is not possible to rewrite the entire application on a different database engine, where it has no licensing restrictions. One of the mechanisms to optimize its operation is to use an in-memory cache using Amazon Elasti Cache to reduce the load on your database. This would also help improve response times since the cache would be located inside the VPC. This would provide an improved experience for the end user. Amazon Elasti Cache is a web service that makes it easy to deploy, operate, and scale an in-memory cache or data store in the cloud. Improves application performance by allowing you to retrieve information from fast, managed memory data stores instead of relying on slower disk-based databases. Amazon Elasti Cache supports two open source memory engines: Redis: Redis is an in-memory structured data warehouse, cache, and message broker. Amazon ElastiCache for Redis offers Multi-AZ with automatic failover and increased robustness. Memcached: is a high-performance memory object caching system, designed to accelerate dynamic web applications. Amazon Elasti Cache helps detect and replace bad nodes and reduce the overhead costs associated with self-managing infrastructure. It also reduces the risk of database overload causing slow application load times. When integrated with Amazon CloudWatch, it helps provide better visibility into key performance metrics associated with Memcached or Redis nodes. You can add an in-memory tier to your infrastructure in minutes with Amazon ElastiCache, using the AWS Management Console. Amazon Elasti Cache lets you pay for storage capacity by the hour while your nodes are active, without long-term commitments. Please note: this is just an example. Get a custom paper from our expert writers now. Get a Custom Essay Some of the common uses of Amazon Elasti Cache are: Reducing latency in hybrid architectures where the database is located in the local data center Reducing load on databases Optimizing dynamic web pages and reducing processing on servers and Data cache instances, for example, user preferences Session storage, for example websites