A gaming company is developing a game that requires significant compute resources to process game logic, player interactions, and real-time updates. The company needs a compute solution that can dynamically scale based on fluctuating player demand while maintaining high performance. The company must use a relational database that can run complex queries.
A company is building a stock trading application in the AWS Cloud. The company requires a highly available solution that provides low-latency access to block storage across multiple Availability Zones.
A company has set up hybrid connectivity between an on-premises data center and AWS by using AWS Site-to-Site VPN. The company is migrating a workload to AWS.
The company sets up a VPC that has two public subnets and two private subnets. The company wants to monitor the total packet loss and round-trip-time (RTT) between the data center and AWS.
Which solution will meet these requirements with the LEAST operational overhead?
Question:
A company uses Apache Hadoop and Spark on-prem. The infrastructure is complex and not scalable. They want to reduce operational complexity but keep data processing on-premises.
Options: