Consensus algorithms are fundamental to distributed systems, enabling multiple nodes to agree on a single value or state even in the presence of failures. This deep dive explores the most important consensus algorithms, their mechanisms, trade-offs, and real-world applications.
A distributed system is a collection of autonomous computing elements that appears to its users as a single coherent system. These systems are essential for building scalable, fault-tolerant applications that can handle large amounts of data and traffic across multiple machines.
Introduction
This document explores various storage architectures and key concepts, including object storage, Single Point of Storage (SPOS), Single Point of Backup and Storage (SPBS), and the distributed storage platform, Ceph. We will discuss their characteristics, trade-offs, and suitability for different use cases.
Introduction
MinIO is a high-performance, open-source object storage server that is API-compatible with Amazon S3. It is designed for cloud-native workloads, offering a scalable, distributed, and cost-effective solution for storing unstructured data. This document provides an overview of MinIO, its key features, architecture, and use cases.