AWS cloud has a broad global presence which is used by customers around the world to build applications present in international markets to achieve agility, cost savings, elasticity and a wide range of services that simplify the implementation of their platforms and services. More and more customers are enabling their workloads in the AWS cloud. However, integration with existing applications sometimes makes this activity difficult. For these reasons, it is necessary to implement a hybrid architecture that allows the customer's data center to be integrated with the AWS cloud so that it can be considered an extension of their network. Say no to plagiarism. Get a Tailored Essay on “Why Violent Video Games Should Not Be Banned”?Get the original essay With AWS Direct Connect, a connection can be enabled on-premises to the AWS Cloud or an IPSec VPN can be configured in a cloud virtual private. (VPC).Some customers report having high latency between their architecture in AWS and the local database. Sometimes we see that the service responsible for 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 database licensing system prevents moving it to AWS. Another challenge when moving is the integration between the application and the database since the system is in production and it is not possible to rewrite the entire application on another database engine. data, 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 its database. This would also help improve response time since the cache would be inside the VPC. This would improve the end-user experience. Amazon Elasti Cache is a web service that makes it easy to implement, operate, and scale an in-memory cache or data store in the cloud. It improves application performance by allowing information to be retrieved from fast, managed in-memory data stores instead of relying on slower on-disk databases. Amazon Elasti Cache supports two open source memory engines: Redis: Redis is a memory-structured data warehouse, cache, and message broker. Amazon ElastiCache for Redis offers Multi-AZ with automatic failover and improved robustness. Memcached: This 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 costs associated with self-management infrastructure. This also reduces the risk of database overload which leads to slow application load times. When integrated with Amazon CloudWatch, it helps provide better visibility into key performance metrics associated with Memcached or Redis nodes. An in-memory layer can be added to your infrastructure in minutes with Amazon ElastiCache, using the AWS Management Console. Amazon Elasti Cache lets you pay for memory capacity per hour while nodes are active, with no long-term commitment. Keep in mind: this is just a sample. Get a personalized article from our expert writers now. Get a Custom Trial Common uses for Amazon Elasti Cache are: Reducing latency in hybrid architectures where the basis of