I typically use Aerospike Cloud Managed Service for user session management, fraud detection pipelines, and real-time data processing in our apps. The main use case revolves around real-time data tracking and processes. Anything that demands fast, consistent performance across large volumes of data is where Aerospike Cloud Managed Service fits perfectly for our use cases.
My main use case for Aerospike Cloud Managed Service is to keep the key values of my ad serving application where data latency is so critical.A quick, specific example of how Aerospike Cloud Managed Service helps with that day-to-day is that we are working on an ad serving platform where we had a lot of data that needed to be stored, and we have to retrieve it on demand as and when we are publishing or an ad is being clicked. We tried multiple things, but nothing could give us the speed of performance as Aerospike.Our application is very time-critical, and we need to make sure that the application should be able to get the information about the customer from our database as soon as possible. We tried multiple things, but Aerospike was the best to give us the least latency and the best performance.
At the time I was working in the travel industry, we needed efficient search capabilities. We needed to find inventory from our database, which was kept in two distributed systems: SQL and Aerospike. To achieve fast reads, we stored all the inventory data in Aerospike, which significantly improved our performance in terms of read-write operations. In SQL, saving and fetching takes time, and our clients often commented on performance. However, introducing Aerospike enhanced our read and write speeds immensely. Aerospike is a NoSQL database, allowing us to store extensive data and perform read and write operations rapidly, resolving our inventory-related performance issues.
Managed Cloud Services offer businesses optimized cloud resource management, ensuring scalability, security, and cost efficiency. These services help organizations focus on core activities while experts handle the cloud infrastructure.
Companies looking for Managed Cloud Services seek reliable solutions to streamline their cloud operations and improve performance. These services provide continuous monitoring, maintenance, and support to ensure smooth functioning and adaptability to...
I typically use Aerospike Cloud Managed Service for user session management, fraud detection pipelines, and real-time data processing in our apps. The main use case revolves around real-time data tracking and processes. Anything that demands fast, consistent performance across large volumes of data is where Aerospike Cloud Managed Service fits perfectly for our use cases.
My main use case for Aerospike Cloud Managed Service is to keep the key values of my ad serving application where data latency is so critical.A quick, specific example of how Aerospike Cloud Managed Service helps with that day-to-day is that we are working on an ad serving platform where we had a lot of data that needed to be stored, and we have to retrieve it on demand as and when we are publishing or an ad is being clicked. We tried multiple things, but nothing could give us the speed of performance as Aerospike.Our application is very time-critical, and we need to make sure that the application should be able to get the information about the customer from our database as soon as possible. We tried multiple things, but Aerospike was the best to give us the least latency and the best performance.
At the time I was working in the travel industry, we needed efficient search capabilities. We needed to find inventory from our database, which was kept in two distributed systems: SQL and Aerospike. To achieve fast reads, we stored all the inventory data in Aerospike, which significantly improved our performance in terms of read-write operations. In SQL, saving and fetching takes time, and our clients often commented on performance. However, introducing Aerospike enhanced our read and write speeds immensely. Aerospike is a NoSQL database, allowing us to store extensive data and perform read and write operations rapidly, resolving our inventory-related performance issues.