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It all started in 2004 when Amazon was running Oracle's enterprise edition with clustering and replication. In addition, DynamoDB Accelerator (DAX) a fully managed, highly available, in-memory cache further speeds up DynamoDB response times from milliseconds to microseconds and can continue to do so at millions of requests per second.
You could create and update blog posts, all content was straight HTML — open-source WYSIWYG editors weren’t available at the time, and Markdown didn’t come about until 2004. We can see all the bones of modern Jamstack CMSs here. MovableType really was before its time. Large scale blogs. Dynamic functionality.
(There are advanced techniques that involve dumping and restarting an isolated portion of possibly tainted state, but that’s a system-level recovery strategy for an impossible-to-handle fault, not a handling strategy for run-time error.) C++ Coding Standards (Addison-Wesley, 2004). 2] Alan Turing. 67-9, June 1949). [3]
I saw this play out while I was at Sun Microsystems as the dot com bubble burst in 2001–2004. Simplify processes to reduce bureaucracy and management overhead, speed up time-to-value, and take advantage of the gaps in the market that appear as competitors fail. As an employee, it’s usually best to leave in the first wave of cuts.
Restore backups on secondary systems frequently to make sure that your complete backup strategy is functioning correctly. Make sure that you understand any write-caching strategies that the utility uses.
But that's not what strategy demands, and strategy is my job. [1] Sure, developing a codebase multiple time was more expensive than the web's write-once-test-everywhere approach, but at least you got speed for the effort. Today's popular JS-based approaches are simply unsafe at any speed. But why do I care?
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