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muratbuffalo.blogspot.com | ||
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systemdesign.one
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| | | | | scalable broadcast algorithm in distributed system | |
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jack-vanlightly.com
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| | | | | This post continues my series looking at log replication protocols, within the context of state-machine replication (SMR) or just when the log itself is the product (such as Kafka). So far I've been looking at Virtual Consensus, but now I'm going to widen the view to look at how log replication protocols can be disaggregated in general (there are many ways). In the next post, I'll do a survey of log replication systems in terms of the types of disaggregation described in this post. | |
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decomposition.al
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| | | | | by Devashish Purandare ยท edited by Sohum Banerjea and Lindsey Kuper | |
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128bit.io
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| | | One of the things that really gets me excited about my new job is being able to use new technology. Sure, sometimes new technology is risky but I see groups befitting more then failing due to usingnewer technology. As always when talking about new technology, NoSQL seems to come up because there are a good number of people switching parts (or all) of theirapplication to use NoSQL databases to get by limits or to help withscalability issues. | ||