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You're reading from  Real-time Analytics with Storm and Cassandra

Product typeBook
Published inMar 2015
Reading LevelIntermediate
Publisher
ISBN-139781784395490
Edition1st Edition
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Author (1)
Shilpi Saxena
Shilpi Saxena
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Shilpi Saxena

Shilpi Saxena is an IT professional and also a technology evangelist. She is an engineer who has had exposure to various domains (machine to machine space, healthcare, telecom, hiring, and manufacturing). She has experience in all the aspects of conception and execution of enterprise solutions. She has been architecting, managing, and delivering solutions in the Big Data space for the last 3 years; she also handles a high-performance and geographically-distributed team of elite engineers. Shilpi has more than 12 years (3 years in the Big Data space) of experience in the development and execution of various facets of enterprise solutions both in the products and services dimensions of the software industry. An engineer by degree and profession, she has worn varied hats, such as developer, technical leader, product owner, tech manager, and so on, and she has seen all the flavors that the industry has to offer. She has architected and worked through some of the pioneers' production implementations in Big Data on Storm and Impala with autoscaling in AWS. Shilpi has also authored Real-time Analytics with Storm and Cassandra (https://www.packtpub.com/big-data-and-business-intelligence/learning-real-time-analytics-storm-and-cassandra) with Packt Publishing.
Read more about Shilpi Saxena

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Cassandra – gossip protocol


Gossip is a protocol wherein periodically the nodes exchange information with other nodes about the nodes they know; this way, all the nodes obtain information about each other via this peer-to-peer communication mechanism. It's very similar to real-world and social media world gossip.

Cassandra executes this mechanism every second, and one node is capable of exchanging gossip information with up to three nodes in the cluster. All these gossip messages have a version associated with them to track the chronology, and the older gossip interaction updates are overwritten chronologically by newer ones.

Now that we know what Cassandra's gossip is like at a very high level, let's have a closer look at it and understand the purpose of this chatty protocol. Here are the two broad purposes served by having this in place:

  • Bootstrapping

  • Failure scenario handling—detection and recovery

Let's understand what they mean in action and what their contribution is towards the well-being...

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Real-time Analytics with Storm and Cassandra
Published in: Mar 2015Publisher: ISBN-13: 9781784395490

Author (1)

author image
Shilpi Saxena

Shilpi Saxena is an IT professional and also a technology evangelist. She is an engineer who has had exposure to various domains (machine to machine space, healthcare, telecom, hiring, and manufacturing). She has experience in all the aspects of conception and execution of enterprise solutions. She has been architecting, managing, and delivering solutions in the Big Data space for the last 3 years; she also handles a high-performance and geographically-distributed team of elite engineers. Shilpi has more than 12 years (3 years in the Big Data space) of experience in the development and execution of various facets of enterprise solutions both in the products and services dimensions of the software industry. An engineer by degree and profession, she has worn varied hats, such as developer, technical leader, product owner, tech manager, and so on, and she has seen all the flavors that the industry has to offer. She has architected and worked through some of the pioneers' production implementations in Big Data on Storm and Impala with autoscaling in AWS. Shilpi has also authored Real-time Analytics with Storm and Cassandra (https://www.packtpub.com/big-data-and-business-intelligence/learning-real-time-analytics-storm-and-cassandra) with Packt Publishing.
Read more about Shilpi Saxena