What are your thoughts on this approach to software design? Share your insights in the comments section below. So when designing a reliable service, try to create an escalator-like system instead of an elevator. During rush hour, elevators tend to get overwhelmed and stop functioning effectively. In comparison, an elevator is like a service that does not handle variability in demand very well.
It operates at a consistent pace and can handle a certain amount of demand.
This environment is where you run your PostgreSQL databases. Had Ticketmaster used this mechanism, it’d have protected their service from crashing while ensuring that a portion of the demand was still being served. The basic building block of Amazon RDS is the DB instance. If 50,000 requests arrive, instead of crashing, it will show an error message or queue up the other 49500 requests while it serves the 500. Suppose your service can handle 500 requests per second. You do that by putting a queue in front of your service, which acts as a buffer between the service and the incoming requests.
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To me, that’s nonsense because this situation could have been easily avoided if they had load tested their systems properly.īut I want to talk about a deeper underlying issue: The first job of a service is to protect itself. In this video, Ill show you how to use Amazon Web Services (AWS) Relational Database Service (RDS) PostgreSQL with Django to build a robust and scalable. They said that it happened due to the unprecedented demand. Strong experience with DevOps essential tools like Docker, Kubernetes, Subversion(SVN),GIT, Jenkins, and Maven and migrated VMWARE VMs to AWS and Managed Services like EC2, S3, Route53, ELB, EBS. Release calendar for Amazon RDS for PostgreSQL. You may remember this incident where Ticketmaster tried to sell tickets for a Taylor Swift concert, and their site went down for hours. What are your thoughts on this approach to software design? Share your insights in the comments section below.Let’s talk about the Ticketmaster (Taylor Swift) Debacle and what we can learn from it. aws rds describe-db-engine-versions -default-only -engine postgres. In comparison, an elevator is like a service that does not handle variability in demand very well. For example, to display the default PostgreSQL engine version, use the following command. Had Ticketmaster used this mechanism, it’d have protected their service from crashing while ensuring that a portion of the demand was still being served. To me, that’s nonsense because this situation could have been easily avoided if they had load tested their systems properly.īut I want to talk about a deeper underlying issue: The first job of a service is to protect itself. They said that it happened due to the unprecedented demand. You may remember this incident where Ticketmaster tried to sell tickets for a Taylor Swift concert, and their site went down for hours. AWS DMS supports a PostgreSQL version 9.4 and later (for versions 9.x), 10.x, 11.x, 12.x, 13.x and 14. Let’s talk about the Ticketmaster (Taylor Swift) Debacle and what we can learn from it.
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