Florian JakobAWS (Amazon Web Services) Cloud Professional
Bio

+++ 8 years of experience working with AWS, with a deep understanding of the platform

+++ AWS certified instructor, teaching a variety of AWS classes to students of all levels

+++ Specialization in designing and implementing highly redundant architectures using AWS services such as Lambda, Fargate, Step Functions, RDS, DynamoDB, and more

+++ Successful track record in implementing serverless solutions for various projects

+++ Active participation in AWS events such as AWS Summits and AWS Popup Lofts, and presenting on AWS architecture at "This is My Architecture" session

+++ Passion for sharing knowledge and ideas, always seeking opportunities to learn and grow in the field

++ Check out my credly page to see all of my certifications
https://www.credly.com/users/florian_jakob/badges

+++ Follow me on LinkedIn
https://www.linkedin.com/in/florianjakob/


Recent Answers


Depends on your specific setup and use-case. If you use AWS Load-Balancing you will get a managed service that will autoscale and will only have such a small latency that you can only measure it on a network point of view (milliseconds).
The advantage of using AWS Loadbalancing is that you will get detailed metrics that give you a detailed overview about latency, error rate on each of your services behind the reverse proxy. This way you can easily find the bottleneck.

Another possibility would be to setup a nginx reverse proxy running on EC2 instance. This way you could enable caching functions for specific locations and your reverse proxy will cache request. This way your reverse proxy can dramatically improve your perfomance but you might need to have rules for auto-scaling if you have a high traffic site...


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