In the next year, you expect the number of concurrent active users of your application to increase from approximately 50 to 500. Which two…

A tenfold increase in concurrent users places significant strain on the Appian environment's ability to process transactions and manage user sessions.

1. Adding more process execution engines (B) directly addresses the increased transactional load. Each engine can handle a finite number of active processes. Scaling out the execution engines distributes the workload, allowing the environment to process a much higher volume of concurrent user actions and process instances without creating a bottleneck.

2. Adding more application server memory (C) is crucial for accommodating the increased number of user sessions. Each active user consumes memory on the application server. Insufficient memory can lead to excessive garbage collection and OutOfMemoryError exceptions, severely degrading performance for all users.

A. Add more design engines.

Design engines (like analytics) serve specific functions. While they may need scaling for certain workloads, they are not the primary component for handling a general increase in concurrent transactional users.

D. Switch from a records-centric to a process-centric design.

This is an application architecture change, not an environment configuration. Modern, well-designed records-centric applications are highly performant and scalable; switching paradigms is not a standard solution for scaling.

1. Appian 23.4 Documentation

"High Availability and Disaster Recovery

" Section: "Scaling Out Services." This section explicitly states: "For environments with high-throughput processing needs

you can scale out the execution and analytics engines by adding more of them to your site." This directly supports adding more process execution engines (B) to handle increased load.

2. Appian 23.4 Documentation

"System Requirements

" Section: "Application Server." This section details memory requirements

noting that they are dependent on factors including "the number of concurrent users." It provides sizing guidelines that show a direct correlation between user load and required application server memory (RAM and JVM heap size)

supporting option (C).

3. Appian 23.4 Documentation

"Preparing for an Appian Installation

" Section: "Hardware Capacity Planning." This guide emphasizes that "The number of concurrent users directly impacts the required memory and CPU of the application server(s)." This reinforces the need to increase application server resources

specifically memory (C)

when anticipating a large growth in the user base.