Which solution will reduce the launch time of the application during the next testing phase?
Launch two or more EC2 On-Demand Instances. Turn on auto scaling features and make the EC2 On-Demand Instances available during the next testing phase.
Launch EC2 Spot Instances to support the application and to scale the application so it is available during the next testing phase.
Launch the EC2 On-Demand Instances with hibernation turned on. Configure EC2 Auto Scaling warm pools during the next testing phase.
Launch EC2 On-Demand Instances with Capacity Reservations. Start additional EC2 instances during the next testing phase.
Explanations:
Launching multiple EC2 On-Demand Instances and enabling auto-scaling may help handle increased load but does not specifically address the issue of slow application launch and memory loading times during initial startup. This option focuses more on scaling rather than improving launch performance.
Using EC2 Spot Instances is a cost-saving measure but does not inherently improve the application launch time. Spot Instances are less reliable for critical applications as they can be interrupted, and this does not directly resolve the underlying performance issue during the testing phase.
Launching EC2 On-Demand Instances with hibernation enabled allows the instance to save its state, which reduces the time taken to resume and become operational. Configuring EC2 Auto Scaling warm pools further enhances this by pre-warming instances, thus significantly improving launch times during the next testing phase.
While using Capacity Reservations ensures that EC2 instances are available when needed, it does not improve the launch time of the application itself. This option addresses capacity availability but does not focus on the performance of the application during startup.