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AWS and Salesforce Announce Expansive Partnership to Unify Developer Experiences and Launch New Intelligent Applications
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Why businesses need a data integration platform
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Why you need a data integration platform
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OtterTune to compete with Oracle automation, but also for open source databases
Lindsay Clark Fri 14 May 2021 // 10:45 UTC Share
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A university spin-out startup has announced a private beta of an automated database tuning service which its founder claims can double the performance or halve the cost of the popular AWS Relational Database Service.
Among its marketing hype, though, is the, erm, novel approach of launching a hip-hop album of beats and screeching otters. More of that later.
Originating from a project at Carnegie Mellon Database Group, OtterTune is based on the idea you can use machine learning to identify the optimal setting for database parameter knobs, a task well beyond most developers and something even seasoned DBAs struggle with, given the number of databases on the market that they might be required to manage.
Complete with nervous warnings: how much chaos is too much?
Tim Anderson Tue 16 Mar 2021 // 17:15 UTC Share
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AWS has rolled out its Fault Injection Simulator (FIS), designed to introduce deliberate faults into its cloud services so that users can test the resilience of their applications.
Chaos engineering is useful for discovering what actually happens in the event of a failure, observing the principle that administrators cannot know whether something like a failover system will work as expected until there is an actual outage.
It can also be used to test the impact of things like services that are slow to respond, or which encounter bad data, or which run out of memory. The idea is not only to avoid catastrophe but also to measure the outcome and its potential impact on a business.