Apache Cassandra High Availability
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Mastering Apache Cassandra
Unleash the Power of Distributed Database for Scalable and High-Performance Applications Are you ready to explore the world of distributed databases and unlock the potential of Apache Cassandra? "Mastering Apache Cassandra" is your comprehensive guide to understanding and harnessing the capabilities of Cassandra for building scalable and high-performance applications. Whether you're a database administrator seeking to optimize performance or a developer aiming to create resilient data-driven solutions, this book equips you with the knowledge and tools to master the art of Cassandra database management. Key Features: 1. Deep Dive into Cassandra: Immerse yourself in the core principles of Apache Cassandra, understanding its architecture, data model, and distributed nature. Build a solid foundation that empowers you to manage data effectively in distributed environments. 2. Installation and Configuration: Master the art of installing and configuring Cassandra on various platforms. Learn about cluster setup, node communication, and replication strategies for fault tolerance. 3. Cassandra Query Language (CQL): Uncover the power of CQL for interacting with Cassandra databases. Explore data definition, manipulation, and querying using CQL's intuitive syntax. 4. Data Modeling: Delve into effective data modeling for Cassandra. Learn about tables, primary keys, composite keys, and denormalization strategies to optimize data retrieval and storage. 5. Distributed Data Management: Discover techniques for managing distributed data effectively. Explore concepts like consistency levels, replication factor, and data partitioning for maintaining data integrity. 6. Performance Tuning and Optimization: Explore strategies for optimizing Cassandra performance. Learn about compaction, read and write paths, caching, and tuning settings to achieve low-latency responses. 7. High Availability and Failover: Master the art of ensuring high availability in Cassandra clusters. Learn about replication strategies, data repair, and handling node failures to maintain continuous data access. 8. Security and Authentication: Explore security features and best practices in Cassandra. Learn how to implement authentication, authorization, and encryption to protect your data. 9. Batch Processing and Analytics: Uncover strategies for performing batch processing and analytics with Cassandra. Learn how to integrate with tools like Apache Spark and execute complex queries. 10. Real-World Applications: Gain insights into real-world use cases of Cassandra across industries. From e-commerce to finance, explore how organizations are leveraging Cassandra's capabilities for innovation. Who This Book Is For: "Mastering Apache Cassandra" is an indispensable resource for database administrators, developers, and IT professionals who want to excel in managing Cassandra databases. Whether you're new to Cassandra or seeking advanced techniques, this book will guide you through the intricacies and empower you to harness the full potential of distributed data management.
Cassandra 3.x High Availability
Author: Robbie Strickland
language: en
Publisher: Packt Publishing Ltd
Release Date: 2016-08-29
Achieve scalability and high availability without compromising on performance About This Book See how to get 100 percent uptime with your Cassandra applications using this easy-follow guide Learn how to avoid common and not-so-common mistakes while working with Cassandra using this highly practical guide Get familiar with the intricacies of working with Cassandra for high availability in your work environment with this go-to-guide Who This Book Is For If you are a developer or DevOps engineer who has basic familiarity with Cassandra and you want to become an expert at creating highly available, fault tolerant systems using Cassandra, this book is for you. What You Will Learn Understand how the core architecture of Cassandra enables highly available applications Use replication and tunable consistency levels to balance consistency, availability, and performance Set up multiple data centers to enable failover, load balancing, and geographic distribution Add capacity to your cluster with zero downtime Take advantage of high availability features in the native driver Create data models that scale well and maximize availability Understand common anti-patterns so you can avoid them Keep your system working well even during failure scenarios In Detail Apache Cassandra is a massively scalable, peer-to-peer database designed for 100 percent uptime, with deployments in the tens of thousands of nodes, all supporting petabytes of data. This book offers a practical insight into building highly available, real-world applications using Apache Cassandra. The book starts with the fundamentals, helping you to understand how Apache Cassandra's architecture allows it to achieve 100 percent uptime when other systems struggle to do so. You'll get an excellent understanding of data distribution, replication, and Cassandra's highly tunable consistency model. Then we take an in-depth look at Cassandra's robust support for multiple data centers, and you'll see how to scale out a cluster. Next, the book explores the domain of application design, with chapters discussing the native driver and data modeling. Lastly, you'll find out how to steer clear of common anti-patterns and take advantage of Cassandra's ability to fail gracefully. Style and approach This practical guide will get you implementing Cassandra right from the design to creating highly available systems. Through a systematic, step-by-step approach, you will learn different aspects of building highly available Cassandra applications and all this with the help of easy-to-follow examples, tips, and tricks.
Jaeger Distributed Tracing in Practice
"Jaeger Distributed Tracing in Practice" "Jaeger Distributed Tracing in Practice" is a definitive guide to mastering observability in today’s complex, distributed systems. Beginning with a thorough exploration of foundational concepts—such as the evolution of system observability, core distributed tracing principles, and the prominent role of emerging standards like OpenTracing and OpenTelemetry—this book helps readers understand the “why” and “how” of distributed tracing. Through insightful comparisons with alternative tools and real-world use cases, it contextualizes Jaeger within the broader observability ecosystem, highlighting its value in addressing the unique challenges of monitoring modern architectures. The book proceeds to expertly dissect Jaeger’s architecture and its operational lifecycle, providing a granular look at individual system components, data flows, storage backends, and deployment models suitable for both monolithic and cloud-native environments. With dedicated chapters on instrumentation strategies, scaling, security, and customization, it offers best practices for introducing tracing into existing codebases, managing context propagation, applying advanced sampling strategies, and optimizing for both performance and cost. Real-world advice for production environments ensures that readers are equipped to plan capacity, secure deployments, monitor health, and maintain high availability. In the latter sections, the guide unlocks advanced analytics and troubleshooting techniques, including the integration of trace data with logs and metrics for full-stack observability, and the use of automated diagnostics for rapid incident response. In-depth case studies illuminate proven deployment patterns and organizational roll-out strategies, while forward-looking chapters address emerging trends—such as tracing for IoT and edge, privacy and regulatory compliance, and Jaeger’s evolving role in the open-source observability landscape. Comprehensive yet accessible, this book is essential for engineers, architects, and leaders intent on building resilient, transparent, and high-performance distributed systems.