- Programming Digest
- Build Latency, Predictability, and Developer Productivity
Build Latency, Predictability, and Developer Productivity
#538 – September 04, 2023
On the surface, build latency is a purely technical problem. But humans experience and respond to it in interesting ways: forming expectations, making choices, and organizing work around build latency and similar factors.
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In this blog, I will describe a Simple, Scalable eviction algorithm with three Static FIFO queues (S3-FIFO). Evaluated on 6594 cache traces from 14 companies, we show that S3-FIFO has lower miss ratios than 12 state-of-the-art algorithms designed in the past decades. Moreover, S3-FIFO’s efficiency is robust — it has the lowest mean miss ratio on 10 of the 14 datasets. The use of FIFO queues enables S3-FIFO to achieve good scalability with 6× higher throughput compared to optimized LRU in cachelib at 16 threads.
This article is a deep dive into the internal architecture of databases/DBMS (Database Management Systems). I'll begin with a standard architecture relational databases have; will then take a peek into the architectures of a couple of real-world SQL databases.
It is tempting to build abstractions so developers have to do less and build more. However, this can easily end up causing frustrations with developers if not done right.
Only parties of well-mannered guests will be considered.
A brief introduction to keeping your body moving as someone who spends a lot of time sitting down.
As fraudsters continue to evolve, it becomes more challenging to automatically detect new fraudulent behaviours. At Grab, we are committed to continuously improving our security measures and ensuring our users are protected from fraudsters. Find out how Grab’s Data Science team designed a machine learning model that has the ability to discover new fraud patterns without the need for label supervision.
Needing to deliver faster and more reliably while managing a growing number of contributors and a more complex codebase seems like the fate of every hyper-growth tech company. For platform teams, the challenge is not any different. How can we quickly roll out and increase the adoption of new technologies safely with a growing codebase and organization?