The cloud is often viewed as the white knight of enterprise IT needs, and evolving database services in particular are marketed as a cure-all for the thorny problems surrounding scaling and uptime. Adoption of Internet-as-a-service (IaaS) offerings, such as Amazon Web Services (AWS) or Microsoft Azure, offer ready scalability and geo flexibility.
Interest in Platform-as-a-Service (PaaS) options, such as Amazon Aurora and Microsoft Azure SQL DB is also growing. PaaS solutions augment IaaS offerings, providing capabilities such as automated database management.
To simplify operations, accelerate time to market, and enable infrastructure flexibility, enterprises will adopt the cloud. But despite marketing to the contrary, cloud services don’t free IT from all concerns about availability and performance. On the contrary, organizations will need preparation to overcome shortcomings of IaaS and PaaS in servicing their critical applications.
In this white paper, we'll explain how Database load balancing software helps address the limitations in:
- I/O performance
- Network latency