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Distributed Computing Musings

Deep dive into distributed computing concepts

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How does your computer know what time it is and why will it break your distributed systems?

Something that has always amused me is how does a computer know what time it is even when it is not connected to an internet.…

Posted on March 12, 2023March 12, 2023
  • Distributed Systems Theory

Paper Notes: Amazon Aurora – Design Considerations for High Throughput Cloud-Native Relational Databases

Amazon Aurora is an AWS service for relational database. As part of this paper, we will look into the decisions that led to a scalable…

Posted on February 26, 2023
  • Database
  • Technical Papers

Paper Notes: Bitcask – A Log-Structured Hash Table for Fast Key/Value Data

As part of this post, I will cover the research paper for Bitcask and do a code walkthrough of an implementation that I wrote using…

Posted on January 23, 2023January 23, 2023
  • Database
  • Technical Papers

Paper Notes: SWIM(Scalable Weakly-consistent Infection-style Process Group Membership Protocol)

In any distributed system comprising of multiple nodes, one question that we need to answer time and again is which nodes in our system are…

Posted on January 7, 2023January 7, 2023
  • Technical Papers

Materialized Views: An alternative to full-blown cache systems

Whenever we talk about caching in an application, the first thought that come to our mind is building an end to end caching mechanism. This…

Posted on November 22, 2022November 22, 2022
  • Cache

Testing for concurrency on JVM

Writing thread-safe code is in itself a major challenge and add to that the challenge of verifying if the code we have written is actually…

Posted on November 1, 2022
  • Concurrency
  • Java

Paper Notes: Bigtable – A Distributed Storage System for Structured Data

Bigtable is a distributed storage solution developed at Google for storing structured data in a scalable manner. Multiple products(At the time the paper was written)…

Posted on September 6, 2022September 6, 2022
  • Database
  • Technical Papers

Paper Notes: Real-time Data Infrastructure at Uber

An application like Uber might seem simple in the first look but does a great job of hiding complexity in order to provide a great…

Posted on August 15, 2022August 15, 2022
  • Technical Papers

Event Sourcing: Removing UD from CRUD

One of the common challenges of large-scale systems is maintaining the correct ordering and state of resources which are getting manipulated by client requests. Something…

Posted on August 4, 2022August 4, 2022
  • Patterns

Paper Notes: Amazon DynamoDB – A Scalable, Predictably Performant, and Fully Managed NoSQL Database Service

Sometime back, I wrote a post on Dynamo which is Amazon’s key-value store. This paper is not about that. This paper was presented at a…

Posted on July 22, 2022July 22, 2022
  • Database
  • Technical Papers

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Recent Posts

  • Paper Notes: Spanner – Google’s Globally-Distributed Database
  • Paper Notes: Kora – A Cloud-Native Event Streaming Platform For Kafka
  • Paper Notes: Megastore- Providing Scalable, Highly Available Storage for Interactive Services
  • Paper Notes: Spark – Cluster Computing with Working Sets
  • Paper Notes: Distributed Transactions at Scale in Amazon DynamoDB

Recent Comments

  1. Paper Notes: Spark – Cluster Computing with Working Sets – Distributed Computing Musings on Paper Notes: MapReduce – Simplified Data Processing on Large Clusters
  2. 纸条:Amazon DynamoDB中的大规模分布式事务 - 偏执的码农 on Paper Notes: Distributed Transactions at Scale in Amazon DynamoDB
  3. Notas em papel: Transações distribuídas em escala no Amazon DynamoDB – distribuído – linux-BR.org on Paper Notes: Distributed Transactions at Scale in Amazon DynamoDB
  4. Paper Notes: Disbursed Transactions at Scale in Amazon DynamoDB – Disbursed – TOP Show HN on Paper Notes: Distributed Transactions at Scale in Amazon DynamoDB
  5. Vector Clocks: So what time is it? – Distributed Computing Musings on Lamport Logical Clock: One after the another. But not together.
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