There are lot of reasons why you should consider adopting Resonate.

Shared logs offer linearizable total order across storage shards. However, they enforce this order eagerly upon ingestion, leading to high latencies.

This clickable map (adapted from Bailis, Davidson, Fekete et al and Viotti & Vukolic) shows the relationships between common consistency models for concurrent systems.

Convex is the reactive database for app developers. Everything you need to build your full-stack project.

Here is the tentative schedule of lectures and due dates. The lecture notes and paper questions for future dates are copies from previous years, and may change.

What's the big deal about Deterministic Simulation Testing?

Causal ordering is essential for understanding distributed systems, where events may not have a clear time order. This concept helps determine the causal relationship between events in a system. It enables reasoning about causality, leading to simpler solutions in distributed computing.

The text discusses various design choices and characteristics of incremental and streaming systems. It highlights the core idea of these systems, which is to process inputs to generate outputs efficiently. The systems are categorized based on unstructured vs structured design, high temporal locality vs low temporal locality workloads, internal consistency vs internal inconsistency, and eager vs lazy computation approaches. The text explains the advantages and disadvantages of each design choice and provides examples of systems that fall into different categories. Additionally, it emphasizes the importance of understanding these design choices in selecting the appropriate system for specific workloads.

The text discusses the importance of internal consistency in streaming systems. It explains how eventual consistency can lead to incorrect outputs and the need for systems to wait for all relevant inputs before emitting results. Maintaining internal consistency ensures correct outputs and prevents confusion between changes and corrections.

HYTRADBOI was a conference featuring lightning talks on innovative uses of databases for solving problems. Talks included topics like building data-centric apps, realtime machine learning, and interactive databases. The event focused on embracing new solutions and fostering professional behavior among attendees.

The text discusses the benefits of local-first software, emphasizing ownership and control of data while also enabling seamless collaboration. It compares traditional cloud apps with new approaches that prioritize user ownership and real-time collaboration. The focus is on developing software that combines the convenience of cloud apps with the data ownership of traditional software.

This reading list covers materials for understanding distributed systems design and challenges. It includes resources on topics like latency, Amazon's organizational culture, Google's cutting-edge technologies, consistency models, theory, languages, tools, infrastructure, storage, Paxos consensus, and gossip protocols. The list aims to help readers adapt their thinking to effectively tackle distributed system complexities.

Dr. Werner Vogels shares insights from working on Amazon's S3 storage system, highlighting the scale and unique challenges faced. S3's design incorporates innovative strategies to efficiently handle vast amounts of data across millions of hard drives while prioritizing customer experience. Vogels emphasizes the need for a broader perspective on software systems and the rewarding journey of scaling as an engineer at Amazon.