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One particularly interesting anomaly is the dominance of Windows paired with Mongo on EC2 in the Updates test. The performance is only slightly lower than the same pairing on i7, where in most cases our i7s (2600K workstations, to be precise) and EC2 (m1.large) large) instances differ by a factor of seven or more.
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. Additionally, we have added a new test type focused on writes, wherein a variable number of database updates are executed per request.
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. In preliminary tests, we experimented with more requests per pipeline but doing so caused socket write buffer overflows.
What’s astonishing and few other than those who lived it as startups (I launched my second startup in this era) realize is how profound of an impact that rise of Amazon AWS (S3 & EC2) had on the startup market. The “A Round” of my startup in 1999 was $16.5 million and my A Round in 2005 was only $500,000 (and that’s all I ever raised).
“By the way, back then it was just Amazon’s Elastic Compute Cloud [EC2] and both ‘Elastic’ and ‘Cloud’ were candidate key terms. I taught a somewhat crazy course about writing and deploying a scalable website in Ruby on Rails and deploying it in EC2. The term ‘cloud computing’ only caught on much later.
As I write these words I’m aware that I could practically change the words AOL and Facebook for much of this section and with a few factual tweaks it might not be noticeable to the reader which of the firms I was talking about. At the bottom end of the stack is storage (S3) and processing (EC2).
At the time we viewed Amazon’s offering, EC2 as too nascent. They have built tools to store the data but also to allow 3rd-party developers to rapidly consume or even write data to their tables. How on Earth could I rely on Amazon to guarantee me performance so that I didn’t risk slow response times for my customers?
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