Articles

Creating a distributed file system with Ceph is a challenging but rewarding endeavor. With careful planning, proper configuration, and ongoing maintenance, Ceph can provide a robust and scalable storage solution that meets the demands of modern applications.

This blog post provides a comprehensive guide to building and securing an API gateway for microservices using Kong and OpenID Connect, with detailed steps, best practices, and essential insights to help readers implement and maintain a secure microservices architecture.

Building a highly available database system with Galera Cluster and MariaDB involves careful planning, precise configuration, and adherence to best practices. Galera Cluster with MariaDB offers a robust solution for high availability, ensuring that your data is always accessible and secure.

As distributed systems become more complex, the challenges of balancing consistency, availability, and partition tolerance will only grow. Emerging technologies, such as blockchain and distributed ledger systems, may offer new ways to navigate these challenges. However, the principles of the CAP theorem will remain relevant, serving as a foundational concept for understanding the limitations and possibilities of distributed systems.

Building a high-performance graph database with Neo4j requires careful planning, effective data modeling, and a focus on optimization. By understanding the basics of graph databases, choosing the right tools, and implementing best practices, you can create a database that not only handles complex data relationships but does so efficiently and at scale. Whether you’re working on a social network, a supply chain management system, or any other application that involves interconnected data, Neo4j provides the tools and capabilities needed to manage and optimize your data effectively.

Implementing RabbitMQ on Kubernetes offers a powerful combination for building scalable and resilient messaging systems. By leveraging Kubernetes' container orchestration capabilities, you can deploy, scale, and manage RabbitMQ with ease, ensuring that your application can handle increasing workloads and maintain high availability.