Architecting for Efficiency: Performance, Cost, and Maintainability

This track focuses on achieving efficiency in software architecture by emphasizing cost-effective performance at scale. As systems grow, so do infrastructure costs and operational complexity—making architectural decisions critical to long-term sustainability. We'll explore how to design systems that deliver high performance while minimizing compute, storage, and data transfer costs, with an eye toward maximizing ROI.

Topics include cost-aware architectural patterns, efficient data modeling, scalable system design, and techniques for measuring and optimizing resource usage. We’ll also examine how tooling, observability, and automation contribute to keeping performance high and costs under control.

Beyond the technical layers, we’ll consider how teams can work together efficiently—how organizational structure, ownership models, and decision-making processes impact architectural outcomes. The goal is to help engineering leaders build systems that are not only technically performant and cost-efficient but also adaptable and sustainable in fast-moving environments.


From this track

Session

How Netflix Shapes our Fleet for Efficiency and Reliability

Netflix runs on a complex multi-layer cloud architecture made up of thousands of services, caches, and databases. As hardware options, workload patterns, cost dynamics and the Netflix products evolve, the cost-optimal hardware and configuration for running our services is constantly changing.

Speaker image - Joseph Lynch

Joseph Lynch

Principal Software Engineer @Netflix Building Highly-Reliable and High-Leverage Infrastructure Across Stateless and Stateful Services

Speaker image - Argha C

Argha C

Staff Software Engineer @Netflix Building Highly Available, High Throughput Systems

Track Host

Vidhya Arvind

Tech Lead & a Founding Architect for the Data Abstraction Platform @Netflix, Previously @Box and @Verizon

Vidhya Arvind is a Tech Lead at Netflix and a founding architect of Netflix’s cutting-edge data abstraction platform. She is a recognized expert in designing and delivering scalable, high-impact data abstractions that empower thousands of developers across the organization to move faster with confidence. With expertise in crafting robust APIs and high-performance abstractions, Vidhya drives the seamless operation of complex abstractions at massive scale. She is known for her strategic thinking, curiosity, and a systems-level mindset that fuels her passion for debugging, innovating, and solving deeply technical challenges. Vidhya has played a pivotal role in shaping the evolution of Netflix's data infrastructure, enabling mission-critical systems to run with exceptional efficiency, reliability, and resilience. Vidhya lives in the Bay Area with her family and loves hiking on trails in the area.

Read more
Find Vidhya Arvind at: