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Mastering Apache Cassandra 3.x - Third Edition

You're reading from  Mastering Apache Cassandra 3.x - Third Edition

Product type Book
Published in Oct 2018
Publisher Packt
ISBN-13 9781789131499
Pages 348 pages
Edition 3rd Edition
Languages
Authors (3):
Aaron Ploetz Aaron Ploetz
Profile icon Aaron Ploetz
Tejaswi Malepati Tejaswi Malepati
Profile icon Tejaswi Malepati
Nishant Neeraj Nishant Neeraj
Profile icon Nishant Neeraj
View More author details

Table of Contents (12) Chapters

Preface 1. Quick Start 2. Cassandra Architecture 3. Effective CQL 4. Configuring a Cluster 5. Performance Tuning 6. Managing a Cluster 7. Monitoring 8. Application Development 9. Integration with Apache Spark 10. References 11. Other Books You May Enjoy

Log stack

During an issue, logging on to each node and checking its logs is tiresome. Instead, we can use a logging stack or a built, custom logging stack with tools available based on our use case. The following stack is a subset of the Elasticsearch, Logstash, Kibana (ELK) stack. We wouldn't require a complex aggregation of logs across nodes, so logstash can be eliminated and we can use a simple Filebeat for log-forwarding, Elasticsearch for storage and querying, and Kibana for visualization and filtering. Moreover, this entire stack can be integrated with any application stack and all the logs across stacks can be visualized on a centralized backend with a single frontend along with all open source community tools. This wouldn't require a license as this logging stack is more of a replacement for a proprietary log aggregator:

Figure 7.33: Log stack built with all...
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