Book Image

Mastering Apache Cassandra 3.x - Third Edition

By : Aaron Ploetz, Tejaswi Malepati, Nishant Neeraj
Book Image

Mastering Apache Cassandra 3.x - Third Edition

By: Aaron Ploetz, Tejaswi Malepati, Nishant Neeraj

Overview of this book

With ever-increasing rates of data creation, the demand for storing data fast and reliably becomes a need. Apache Cassandra is the perfect choice for building fault-tolerant and scalable databases. Mastering Apache Cassandra 3.x teaches you how to build and architect your clusters, configure and work with your nodes, and program in a high-throughput environment, helping you understand the power of Cassandra as per the new features. Once you’ve covered a brief recap of the basics, you’ll move on to deploying and monitoring a production setup and optimizing and integrating it with other software. You’ll work with the advanced features of CQL and the new storage engine in order to understand how they function on the server-side. You’ll explore the integration and interaction of Cassandra components, followed by discovering features such as token allocation algorithm, CQL3, vnodes, lightweight transactions, and data modelling in detail. Last but not least you will get to grips with Apache Spark. By the end of this book, you’ll be able to analyse big data, and build and manage high-performance databases for your application.
Table of Contents (12 chapters)

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...