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Paper Notes: Spanner – Google’s Globally-Distributed Database
Spanner is a scalable & globally distributed database built at Google. It is the first database to replicate data globally…
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13 min read
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Paper Notes: Kora – A Cloud-Native Event Streaming Platform For Kafka
With growing demand for data, robust solutions for handling large-scale data streaming has become essential for organizations. In the cloud-native…
12 min read
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Paper Notes: Megastore- Providing Scalable, Highly Available Storage for Interactive Services
Megastore is a storage system built at Google that provides best of the both database worlds. It provides scalability of…
9 min read
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Paper Notes: Spark – Cluster Computing with Working Sets
In one of the previous posts, we looked into how MapReduce is used to perform large scale computations on large-scale…
10 min read
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Paper Notes: Distributed Transactions at Scale in Amazon DynamoDB
NoSQL databases come up with lot of good things such as high-availability, high-scalability and cloud-scale performance. But providing transaction support…
8 min read
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Paper Notes: MapReduce – Simplified Data Processing on Large Clusters
MapReduce is another paradigm-shift similar to Google file system in the domain of distributed computing. It is a programming model…
14 min read
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Paper Notes: The Google File System
Google file system(GFS) is a foundational paper in the domain of distributed storage. Built at Google, GFS is a scalable…
9 min read
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Paper Notes: Firestore – The NoSQL Serverless Database for the Application Developer
In the world of application development, most of the computation is performed on the edge. Though for certain use cases…
5 min read
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Vector Clocks: So what time is it?
In last 2 posts, we have seen how time is a hard thing to calculate in a distributed systems and…
4 min read
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Lamport Logical Clock: One after the another. But not together.
“Using a clock to model causality is like using a banana to model a nuclear reactor.” – Leslie Lamport As…