Author: Hridyesh singh bisht

Hridyesh Bisht is a Technical Knowledge Specialist at Suse, where he focuses on creating technical documentation, designing training courses, and building GitHub Actions to automate processes. He also analyzes and visualizes user feedback and metrics to enhance documentation and training materials. Hridyesh is actively involved in open-source projects, including contributing to AsyncAPI under the Google Season of Docs 2023 program. He developed detailed documentation and training content and delivered a talk at the AsyncAPI conference. Hridyesh is currently contributing to SigNoz(An open source data monitoring tool). Hridyesh believes that "Engineering is the closest thing to magic in the world." He thrives on contributing to technical communities as a developer, technical writer, and speaker, sharing knowledge and fostering a community. A former AWS Community Builder for nearly three years, he also organizes meetups for the Doon Technical Community to connect and empower local tech enthusiasts.

Fault Tolerance and Recovery in Distributed systems

In this blog, we will focus on fault tolerance in distributed systems, two phase commit protocol and Voting Protocol. Also focus on recovery in distributed systems, backward and forward error recovery, database modification with state based approach and Checkpoint algorithm. Also a little information on Distributed database.

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How to detect a Deadlock and resolve it in Distributed Systems?

In this blog, we will focus on how to prevent a deadlock, how to detect a deadlock, centralized, decentralized and hierarchical resolution algorithms for deadlock.

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How to Synchronize Distributed systems?

In this blog, we will focus on how to synchronize distributed systems( actual time, relative time, Based on mutual exclusion, Election algorithms and Transactions).

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What do you mean by Distributed Systems, Shared Memory and File Systems

In this blog, we will focus on what do you mean by Central, Network, and Distributed systems along with Issues while designing a distributed system. We will also be covering Distributed Shared Memory along with coherence protocols. We will be covering the architecture of Distributed File Systems along with design Issues.

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intro to 4 types of NoSQL databases

There is no database that fits for all problems. This blog cover the 4 types of NoSQL databases which are Key value pairs, Columnar, Document and Graph. Along with some example of where to use each type of data base.

Introduction to Graph value data store along with a use case

This blog focuses primarily on graph value data stores, its example along with their architecture and features. Example used is Neo 4J.

Introduction to Document value data store along with a use case

This blog focuses primarily on document value data stores, its example along with their architecture and features. Example used is Mongo DB.

Introduction to columnar value data store along with use cases

This blog focuses primarily on column value data stores, its example along with their architecture and features. Examples are Apache Casandra and Google Big Table.

Introduction to Key value data store along with use cases

This blog focuses primarily on key value data stores, its example along with their architecture and features.

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Introduction to Hadoop(HDFS and HBase)

HI, this blog on focusing on introduction to Hadoop Distributed File System and it’s architecture, Hadoop Base and it’s architecture..