
Exploring distributed computing landscape, from early computer architecture to modern challenges. Covers key theories, protocols, and technologies, with insights into Akka Cluster's design and future developments.

Explore sagas for modeling complex collaborative domains without distributed transactions, focusing on failure handling and eventual consistency in stateful systems.

Explore alternatives to HTTP for microservices communication, including messaging and RPC. Learn benefits and challenges of different approaches for efficient, scalable, and resilient architectures.

Unlock your company's potential with an internal API platform. Learn to simplify integrations, accelerate innovation, and create scalable services for streamlined business processes.

Explore 13 functional programming techniques through turtle graphics implementations, from partial application to interpreter patterns, in this comprehensive overview for FP-curious developers.

Explore challenges and solutions for tracking logs and debugging in microservices, covering clock synchronization, event ordering, and distributed systems concepts.

Explore refactoring patterns and steps to transform a non-DDD SOA system into a domain-driven design approach, covering key concepts, implementation strategies, and decision-making processes.

Explore microservices scaling using message queues, .NET, and Kubernetes. Learn to design, package, and deploy reliable applications with autoscaling for improved performance and robustness.

Explore OpenTracing and Zipkin for debugging distributed systems. Learn to instrument applications, visualize operations across services, and enhance performance analysis in microservice architectures.

Explore distributed systems challenges in e-commerce, examining failures, coupling, and refactoring towards resilient checkout processes that embrace distributed computing fallacies.

Explore coordination strategies for distributed systems without transactions. Learn implementation techniques using Azure services and real-world examples for robust, scalable enterprise solutions.

Learn to implement chaos engineering on AWS, revealing system failures before they become outages. Discover tools and methods for injecting failures to enhance architecture resilience.

Fault-tolerant far memory system using erasure-coding and remote memory compaction for efficient datacenter applications, offering improved latency and performance over existing solutions.

Explore Orca, a distributed serving system for transformer-based generative models, featuring iteration-level scheduling and selective batching to enhance performance and efficiency in large-scale language model inference.

Explores metastable failures in distributed systems, analyzing real-world incidents to categorize triggers and amplification mechanisms, aiding understanding and potential solutions for this prevalent issue.

Microsecond-scale RDMA control plane for elastic computing, enabling rapid connection establishment and efficient data transfer in distributed systems and serverless environments.

Explore RDMA's Turing completeness and its potential for complex offloads in distributed systems, enhancing performance and reducing CPU load through innovative programming techniques.

Innovative multicast architecture for datacenter networks, reducing switch state and communication overhead while improving scalability and efficiency for large-scale group communications.

Explore efficient distributed transactions for disaggregated persistent memory using FORD, a system leveraging one-sided RDMA to improve throughput and reduce latency in remote memory pools.

Discover how LinkedIn uses spike detection in alert correlation to quickly identify root causes of outages in their complex microservices architecture, reducing false positives and engineer toil.

Automated system for distributed inference serving, optimizing model selection and resource allocation to meet performance and accuracy requirements while reducing costs and complexity for developers.