Diving Deep on S3 ConsistencyApril 20, 2021 • 1938 words I recently posted about Amazon S3 and how it’s evolved over the last 15 years since we launched the service in 2006 as “storage for the internet.” We built S3 because we knew customers wanted to store backups, videos, and images for applications like e-commerce web sites. Our top design priorities at the time were security, elasticity, relia
Over half of the Instagram community visits Instagram Explore every month to discover new photos, videos, and Stories relevant to their interests. Recommending the most relevant content out of billions of options in real time at scale introduces multiple machine learning (ML) challenges that require novel engineering solutions. We tackled these challenges by creating a series of custom query langu
What we look for in a resume
I read every single one of the resumes we receive. Sometimes, I’d talk to a candidate and see that what we perceived as their strongest aspects actually weren’t included in their resume. Occasionally, a candidate would tell me that they didn’t expect their resume to still be screened by humans – had they known, they would have written their resume differently. The resume evaluation process is pret
Today, OpenAI released OpenAI o1, a new series of AI models equipped with advanced reasoning capabilities to solve hard problems. Like you, we are excited to put the new o1 model through its paces and have tested integrating o1-preview with GitHub Copilot. While we are exploring many use cases with this new model, such as debugging large-scale systems, refactoring legacy code, and writing test sui
Code Red: The Business Impact of Code Quality– A Quantitative Study of 39 Proprietary Production Codebases
Code Red: The Business Impact of Code Quality – A Quantitative Study of 39 Proprietary Production Codebases Adam Tornhill CodeScene Malmö, Sweden adam.tornhill@codescene.com Markus Borg RISE Research Institutes of Sweden Lund University Lund, Sweden markus.borg@ri.se ABSTRACT Code quality remains an abstract concept that fails to get traction at the business level. Consequently, software companies
Clojure, Faster
Dynamic, functional programming languages like Clojure are sometimes considered “slower” than their statically-typed and/or OO counterparts, due to facilities like dynamic function dispatch and immutable-orientation, etc. But this comparison is too general. Clojure is readily optimizable in cases where utmost performance is key. Clojure embraces the “Get it working, then make it fast” approach to
In Search of an Understandable Consensus Algorithm (Extended Version) Diego Ongaro and John Ousterhout Stanford University Abstract Raft is a consensus algorithm for managing a replicated log. It produces a result equivalent to (multi-)Paxos, and it is as efficient as Paxos, but its structure is different from Paxos; this makes Raft more understandable than Paxos and also provides a better foundat
Improve system resiliency using Failure Mode and Effects Analysis
McDonald’s is using technology for its operations more than ever before, and it's critical that we are proactively building our large-scale global systems to be reliable and resilient. By Vamshi Komuravalli, Principal Architect With McDonald’s size and scale, it should be no surprise that it takes large-scale systems to operate restaurants, run the business, and engage with customers and crew. Lar
5 GitHub Projects to make you a better DevOps Engineer ⚡
DevOps is one of the most challenging fields to be in, and to stay relevant you need to learn constantly. CHeck out SigNoz - an open-source application performance monitoring tool. So today, I want to share 5 amazing GitHub projects which will help you become a better DevOps engineer. These 5 Github projects can come in handy for anyone looking to learn and want good resources to dive in. 🏊♀️ So
Oliver Jumpertz
Over the course of my career (10+ years), I have already built a few large-scale systems, both as a developer and software architect. Nowadays, I work in the streaming space where I'm responsible for a federated GraphQL API that serves millions of users every day, with minimal response times. This, here, is my space, where I share my learnings and useful content about software engineering and tech
Formal Methods: Just Good Engineering Practice? - Marc's Blog
About Me My name is Marc Brooker. I've been writing code, reading code, and living vicariously through computers for as long as I can remember. I like to build things that work. I also dabble in machining, welding, cooking and skiing. I'm currently an engineer at Amazon Web Services (AWS) in Seattle, where I work on databases, serverless, and serverless databases. Before that, I worked on EC2 and
This article explains what event sourcing is, common use cases, considerations and examples. This document discusses an approach to building event sourced systems. The use cases, architecture patterns and implementation details using both AWS native services and open source options. Event Sourcing is an architecture pattern that stores an application’s state as an append-only log of events. As wel
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Diving Deep on S3 Consistency
Powered by AI: Instagram’s Explore recommender system
First Look: Exploring OpenAI o1 in GitHub Copilot
In Search of an Understandable Consensus Algorithm
Event Sourcing | Event-driven Architecture on AWS