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5 Best Practices for Optimizing PeopleSoft Performance on AWS

Author: Mahesh Vanapalli | 9 min read | January 18, 2024

PeopleSoft is one of the most widely used ERP solutions in the world, helping businesses manage their human resources, finance, and other enterprise functions.

Optimizing the performance of PeopleSoft enterprise applications is crucial for empowering businesses to unlock the various benefits of Amazon Web Services (AWS) infrastructure effectively. Research indicates that AWS has approximately five times more deployed cloud infrastructure than their next 14 competitors. With its robust, flexible, and highly scalable cloud solutions, businesses can utilize AWS to enhance their PeopleSoft deployment to facilitate better performance, scalable business processes, and reduced costs.

In this blog, we will discuss various best practices for optimizing PeopleSoft’s performance on AWS. By implementing these robust strategies, your business can effectively harness the power of AWS infrastructure and tools to achieve cost efficiency and enhanced overall system performance.

By understanding, implementing, and embracing these essential best practices, your business can undergo an effortless and efficient PeopleSoft deployment on AWS. This guide will empower your business to meet the growing demands of growing business processes and operations while simultaneously delivering outstanding user experiences.

Best Practices for Maximizing PeopleSoft Performance On AWS:

1. Right Sizing Your AWS Infrastructure

One of the best ways to optimize the performance of PeopleSoft on AWS is by right sizing your AWS infrastructure. This usually involves analyzing the workload requirements of PeopleSoft, choosing appropriate AWS instance types, and utilizing appropriate scaling options for managing peak loads.

Understanding your organization’s workload requirements of PeopleSoft is the first step to right-sizing AWS infrastructure. This process involves monitoring application resource usage patterns, expected user concurrency, and transaction volume. Use memory-optimized instances for databases and compute-optimized instances for application servers. This analysis will help you select the most appropriate configuration to support your existing and future workflows.

Selecting appropriate AWS instance types is crucial for achieving satisfactory performance. AWS provides users with a wide variety of options for instance types. Your business can choose relevant instances by considering factors such as I/O performance, CPU power, memory, and more to match the requirements of your PeopleSoft deployment. This depends on the intensity and size of your current workload. Set up your auto-scaling groups to scale in and out based on actual demand, ensuring optimal performance and cost-effectiveness.

This approach will help ensure that your overall organizational infrastructure can handle the demands of enterprise applications without compromising performance and efficiency.

2. Leverage AWS Services to Optimize Database Management

Leveraging AWS services for database optimization is crucial for optimizing PeopleSoft deployments on AWS. AWS offers over 175 fully functioning, dynamic services enabling users to install critical applications faster than ever. Tools such as Amazon Relational Database Service (RDS) can help users effectively manage PeopleSoft databases using solutions such as scalability, high availability, and automated backups.

Amazon RDS can simplify time-consuming and complex administrative tasks such as routine database maintenance processes, hardware provisioning, and software patching. This can allow your business to automate updates and security processes while simultaneously dedicating scarce organizational resources to higher-level business processes.

Tuning database parameters and RDS configuration settings based on the requirements of your current PeopleSoft workload, such as cache sizes, I/O rates, connection limits, and more, can substantially impact overall performance.

3. Implement Elastic Load Balancing

Implementing elastic load balancing (ELB) is a crucial best practice for maximizing PeopleSoft performance on AWS. ELB can help your business distribute incoming traffic across various instances. This can lead to more efficient utilization of resources, higher availability, and enhanced scalability.

An ELB is a central entry point that automatically distributes requests based on predetermined criteria across multiple instances. By evenly distributing workloads, ELB can help prevent individual instances from being overprocessed, improving responsiveness and overall performance.

Implementing ELB for PeopleSoft workloads involves defining relevant health checks, load-balancing algorithms, and session management settings. This process can enable you to effectively distribute traffic and organizational resources to prevent a particular instance from being overwhelmed or becoming a bottleneck. Furthermore, this process can help you improve overall performance, availability, and scalability for your PeopleSoft deployment on AWS.

4. Optimize Storage and Network Performance

Optimizing network and storage configurations is a crucial aspect of maximizing the performance of your PeopleSoft deployment on AWS. Route 53, AWS’s scalable Domain Name System (DNS), helps in the efficient routing of end-user requests to the PeopleSoft environment. Selecting the correct AWS network configuration, leveraging the benefits of Elastic File System (EFS) for shared storage, and optimizing storage performance with provisioned IOPS can help your business significantly improve PeopleSoft performance and responsiveness. AWS can enable users to process twice the amount of data and reduce processing time and costs by 50% compared to on-premises solutions.

Selecting the most appropriate AWS configuration involves analyzing network requirements and selecting the optimal network setup to facilitate efficient and reliable communication between environments. Your business can leverage the power of EFS shared storage to significantly enhance performance and scalability by eliminating the need for manual file synchronization, empowering consistent data access, and reducing latency. For businesses requiring a dedicated network connection from their on-premises data centers to AWS, Direct Connect offers a more consistent and faster network experience.

AWS also provides users with provisioned IOPS, which allows users to allocate dedicated I/O capacity to Amazon EBS volumes. These optimizations can help avoid or reduce bottlenecks, reduce latency, and foster more efficient processing of your PeopleSoft enterprise applications.

5. Performance Monitoring and Tuning

Performance monitoring and tuning are crucial aspects of maximizing the performance of your PeopleSoft enterprise applications on AWS. Leveraging powerful and robust tools such as AWS CloudWatch can enable your business to build customized alarms and metrics, implement various performance-tuning strategies, and proactively identify and address potential bottlenecks in business processes and workflows.

Amazon CloudWatch can also provide your business with valuable, data-driven insights about the health of your current PeopleSoft environment. It can also monitor memory usage, network utilization, and other aspects of your deployment so that you can identify patterns, identify potential errors and issues, and more.

This tool also allows users to create custom metrics to track specific vital metrics relevant to individual business processes and applications. Setting alarms based on these metrics can enable your business to receive regular performance-level notifications and take proactive action to avoid downtime.

Navigating PeopleSoft in the AWS Ecosystem

Optimizing PeopleSoft’s performance on AWS is crucial for businesses trying to maximize their deployments’ reliability, efficiency, and scalability.

The five best practices outlined in this article can help your business unlock the true potential of running PeopleSoft on AWS. Each of these best practices plays a critical role in achieving an optimum level of performance. This guide can enable organizations to create a powerful and dynamic environment for their PeopleSoft applications, hence facilitating a significant competitive advantage. Read more about AWS optimization techniques, best practices, and benefits of moving on PeopleSoft workloads to AWS in our latest whitepaper, “Maximizing the Benefits of PeopleSoft on AWS: A Comprehensive Guide.”

By partnering with Datavail, your business can expedite its migration to AWS, saving substantial time and organizational resources. Datavail is an Oracle partner with an AWS-approved Oracle Services Competency, helping clients build and manage applications and data via a world-class tech-enabled delivery platform and software solutions across all leading technologies. Datavail has earned a distinguished status as a trusted partner with top-notch credentials for migrating to leading cloud providers. We are among a select few AWS partners who have successfully completed demanding certifications and supplied strong references showcasing our expertise in migrating Oracle ERP On-Premises Applications (such as Oracle EBS, PeopleSoft, and JD Edwards) to AWS. Our team of experts can help ensure that your PeopleSoft applications are optimized for high availability, security, and performance on AWS.

Contact Datavail today to leverage the power of our robust cloud migration services and empower your organization.

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