![]() ![]() We're pleased to bring the agility, manageability and cost benefits of the Amazon RDS platform to PostgreSQL.”Īmazon RDS supports the core PostgreSQL database features, including PostGIS, free text indexing and search extensions, offering the following benefits: “As mobile, web, social and geospatial applications proliferate, we have seen a steady demand for PostgreSQL as a managed service. “Since we launched Amazon RDS four years ago, a large number of enterprises and startups have adopted the service because it allows them to run familiar relational databases without any of the operational complexity of on-premise systems, at a substantially lower cost,” said Raju Gulabani, Vice President of Database Services, AWS. With Amazon RDS for PostgreSQL, application developers can now take advantage of PostgreSQL as a fully managed service, offloading database management tasks to free up more time to focus on application innovation and delivering value to their customers. Over the past few years, PostgreSQL has become the preferred open source relational database for many enterprise developers and start-ups, powering leading web, mobile, social and geospatial applications. To get started with Amazon RDS for PostgreSQL, visit. PostgreSQL is the fourth database engine for Amazon RDS, which already supports managed MySQL, Oracle and Microsoft SQL Server deployments. Customers can provision a PostgreSQL database with five gigabytes of storage to start and easily scale up to as much as three terabytes without incurring any downtime. With just a few clicks in the AWS Management Console, customers can deploy a PostgreSQL database in minutes with automatically configured database parameters for optimal performance. Amazon RDS manages complex and time-consuming administrative tasks such as PostgreSQL software installation and upgrades, storage management, replication for high-availability and back-ups for disaster recovery. 14, 2013- Today at AWS re:Invent, Amazon Web Services, Inc. (AWS), an company (NASDAQ: AMZN), announced Amazon Relational Database Service (Amazon RDS) for PostgreSQL. What are your thoughts on this approach to software design? Share your insights in the comments section below.PostgreSQL now available as a managed service on AWS with up to 3TB of storage, 30,000 IOPS and support for high-availability 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. ![]() 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. 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. 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. Let’s talk about the Ticketmaster (Taylor Swift) Debacle and what we can learn from it. ![]()
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