Businesses are to cloud technologies, moving their operations there and relying on them to handle everything from large-scale applications to growing customer demands. However, as they make this shift, many companies find that their older systems just aren’t built to handle the speed or complexity of the cloud.
This is where Pradeep Kumar, a Performance Engineering Expert, comes in. He has spent years researching how to improve older systems so they can work better in the cloud, helping companies provide faster, more reliable service while saving money.
The Problem with Old Systems
A lot of older systems, like SAP SuccessFactors Learning, were built with outdated technology that struggles to keep up with modern cloud demands. These systems depend on databases like HANA DB to manage user sessions.
But when millions of people use the system at once, these databases cannot handle the pressure. As a result, there’s high CPU usage, slow speeds, and higher costs for businesses as they try to keep the system running smoothly. On top of this, users can experience problems like delays or system failures, which can impact their experience and make the system less reliable.
Addressing this issue, Kumar provides a solution through his research work, “Optimizing HTTP Session Persistence in SAP SuccessFactors Learning: Transitioning from HANA DB to Redis for Enhanced Performance and Scalability.” According to him, organisations should use Redis, a tool that stores data in memory instead of relying on traditional databases. The open-source database offers several benefits that can fix many of the issues older systems face in the cloud.
Switching from HANA DB to Redis can reduce the amount of resources a business needs to run the system by 30-40%. It means businesses save money while still handling more users. The platform also improves system speed, making things run faster by 20-25%, even during busy times.
Unlike traditional systems, it doesn’t require expensive licensing fees, so it helps keep costs down. It also scales well, which means businesses can easily add more resources as needed without hurting performance. Additionally, it is more reliable because it can automatically recover from failures, ensuring the system stays up and running even if something goes wrong.
Improving Multi-Threaded Systems
The professional doesn’t just focus on database performance. His work also looks at how multi-threaded applications can run more efficiently in the cloud. These types of applications, which use multiple processors at the same time, are key for scaling cloud systems.
In his research, Kumar introduces techniques like dynamic scheduling, which helps balance the workload across processors, and cache optimization, which improves the system’s efficiency by reducing delays. These strategies allow cloud systems to run more smoothly and use resources better.
The insights shared by the expert have already shown great success. When he worked on improving SAP SuccessFactors Learning, the results were impressive. Application throughput – the number of tasks the system could handle at once – increased 5 times, meaning the system could support more users. Response time was reduced by 50%, making the system faster and more responsive. Simultaneously, database costs were reduced by 20%, freeing up money for other areas.
These improvements show how businesses can handle more users, lower their costs, and still provide a great user experience. By making the switch to Redis and using smart techniques to optimize multi-threaded applications, businesses can ensure that their cloud systems are up to the task.
Looking to the Future
Kumar’s research also explores how businesses can stay ahead by preparing for future changes. He mentions trends like machine learning, which could help optimize workloads and improve system performance, and edge computing, which could make cloud services faster for users in different locations. Businesses that understand and adopt these trends will be better positioned to meet the demands of the future.
By moving from outdated databases to more efficient solutions like Redis, and optimizing multi-threaded applications, businesses can boost performance, cut costs, and ensure that their systems can grow with them. The desired advancements will come by not just moving to the cloud, but also by optimizing systems so they can handle the demands of today and the future. With the right strategies, companies can make sure they provide fast, reliable services while saving money.
