Google Cloud DevOps Certification Practice Test

The first step in preparing an application for peak traffic season should be to perform load testing to assess application performance. Load testing is critical as it simulates the increased traffic and helps identify how the application reacts under stress. This assessment provides valuable insights into bottlenecks, resource limitations, and overall application behavior, enabling teams to pinpoint areas that require optimization before the actual peak season.

By understanding how the application performs under heavy load, teams can make informed decisions about necessary adjustments. This might include refining application code, enhancing database performance, or adjusting server configurations. Identifying these issues early allows for a more proactive approach to capacity planning and ensures that the application can handle increased user demand, thus minimizing the risk of outages or slowdowns during critical times.

While options like migrating to Cloud Run or developing a Terraform configuration are important considerations in the cloud ecosystem, they do not directly address the immediate concerns of performance under load. Preemptively allocating resources is based on historical data but may not be as effective without current testing to validate assumptions about application behavior and performance. Therefore, conducting load testing is essential for making data-driven decisions that will ensure the application's reliability during peak traffic.