Published 3 Mar 2026
Duration: 1718
The architecture of the Venice database system, used by LinkedIn, balances scalability and consistency through an asynchronous ingestion model and eventual consistency, prioritizing availability and partition tolerance.
This interview was recorded for GOTO Unscripted. https://gotopia.tech Check out more here: https://gotopia.tech/articles/421 Felix GV - Current Intere...
The podcast details the architecture of the Venice database system, a modular, distributed solution designed for recommendation data storage at LinkedIn. It emphasizes the system's unbundled structure, with distinct components such as a write-ahead log, a server fleet utilizing RuxDB, and specialized clients for querying, caching, and real-time data streaming. This design prioritizes scalability and flexibility, enabling efficient handling of large-scale data workloads. The discussion contrasts Venices asynchronous ingestion and eventual consistency model with traditional databases like PostgreSQL, which emphasize immediate consistency, highlighting the trade-offs between scalability and data consistency in distributed systems.
The systems resilience is evaluated through load simulations and chaos engineering techniques, such as those inspired by Netflixs Chaos Monkey, to test reliability during data center outages. The podcast also addresses the implications of the CAP theorem, noting Venices focus on availability and partition tolerance over strong consistency, particularly in multi-region architectures where reliability often takes precedence over strict consistency guarantees. Additional topics include data ingestion strategies, the use of derived data systems for optimization, and experimental integrations like DOXDB to enhance querying capabilities, underscoring ongoing efforts to adapt the system for evolving use cases.
31 Mar 2026 Platform Engineering Ajay Chankramath & Nic Cheneweth
Platform engineering challenges are addressed through product-centric internal development, standardized "golden paths," control planes abstracting cloud infrastructure for self-service, developer ownership of pipelines, Kubernetes-driven self-healing systems, balancing AI's infrastructure benefits with reliability risks, domain-specific design, clear team boundaries, and the critical role of human oversight in automation.
27 Mar 2026 State of the Art of Container Security Adrian Mouat & Charles Humble
Modern software development must prioritize container security, updated practices for base images, minimized attack surfaces, SBOMs for dependency tracking, and defense-in-depth strategies to combat supply chain risks and outdated components.
24 Mar 2026 The Rush to Adopt AI: How to Get it Right & Business Risks Nick Selby & Sarah Wells
Enterprise AI integration demands robust governance, cross-functional collaboration, and clear terminology to address communication gaps, data leakage risks, security vulnerabilities, and strategic misalignment caused by rapid adoption.
20 Mar 2026 Learn C++ by Example Frances Buontempo & Matt Godbolt
Modern C++ innovations like the spaceship operator, coroutines, and structure bindings are explored through practical examples, interactive learning, and tools like Compiler Explorer, emphasizing the balance between low-level control, high-level abstractions, and educational challenges in mastering advanced concepts.
17 Mar 2026 State of the Art of Biological Computing Ewelina Kurtys & Charles Humble
Bio-inspired computing using living neurons offers potential energy efficiency and paradigm shifts in AI, yet faces scalability, ethical, and technical challenges requiring interdisciplinary collaboration to advance biocomputing and neuroscience.