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On Tuesday of this week, we kicked off a pair of EC2 instances and a pair of our i7 workstations to produce updated data. We dive right in with the EC2 JSON test results, but please read to the end where we include important notes about what has changed since last week. First up is data from the EC2 m1.large large instances.
This is an EC2 test run on a pair of Large instances. We ran each test on EC2 and our i7 hardware. First up is plain JSON serialization on Amazon EC2 large instances. The high-performance Netty platform takes a commanding lead for JSON serialization on EC2. Starting again with EC2. JSON serialization test.
This is an EC2 test run on a pair of Large instances. We ran each test on EC2 and our i7 hardware. First up is plain JSON serialization on Amazon EC2 large instances. The high-performance Netty platform takes a commanding lead for JSON serialization on EC2. Starting again with EC2. JSON serialization test.
We''ve included Windows on EC2 results as a separate set of data within the results view but caution that the results should be considered preliminary. Equipping the i7 workstation with a high-performance SSD has given the database updates test the largest performance gulf between our physical hardware and EC2 m1.large.
For example, in some cases a framework is tested both with and without its ORM (“full ORM” versus “Raw”). Onion , a C platform contributed by Coralbits is now included in the EC2 JSON serialization test and the results are extremely impressive, clocking in over 52,000 JSON responses per second.
The results web site has been improved with test-type and hardware-type navigation, allowing you to share links to a specific results chart, such as Round 6, Fortunes on EC2. For example, in the multiple query test, Revel currently considerably exceeds Go. This seems implausible on the surface, but it''s repeatable.
The focus was S3 - storage service, EC2 - their compute cloud, their queuing system, and their flexible payment system. The EC2 is very similar to having a Linux box in a colocation facility. A lot of the examples that Amazon used were media related. What's interesting about storing media is that it's not a CDN like Akamai.
Furthermore, due to the modestly rushed nature (at least on our side) of Round 12, we elected to not capture Amazon EC2 results for this Round. For example, Slim's performance in the JSON test and Laravel's performance in the Fortunes test both approximately doubled versus Round 11 with PHP 5. View the full results of Round 12.
I was also surprised by the performance improvement on dedicated hardware as compared to EC2 instances of roughly 10x. However, startup founders who are building applications that have: Large Audiences - consumer facing Complex Processing - examples: Matching , Social Network Analysis, Compatibility Scoring, etc.
One obvious example is the OSI model in which we have seven layers ranging from the physical layer at the bottom of the stack (e.g. We put all of this infrastructure in an Exodus web hosting facility and had to pay for rack space, bandwidth and some management services if a disk failed, for example. Let’s take some examples.
Amazon EC2 would be considered fully managed cloud, which also happens to be off premise. A good example of that is Ceph. That is on premise, off premise, fully managed, and do-it-yourself. We think those four dimensions matter because you can sort of mix and match those, and end up with interesting business models.
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