Arc Notes Weekly #61: Reprise
This week, we delve into running intense database workloads on Kubernetes using spot instances, the application of GPT-4 in summarizing technical reviews, and fast robust job queues using PostgreSQL.
This week, we delve into running intense database workloads on Kubernetes using spot instances, the application of GPT-4 in summarizing technical reviews, and fast robust job queues using PostgreSQL.
Enjoy this week's round-up!
— Mahdi Yusuf (@myusuf3)
🥳 Experience the Power of Franz: Elevate your Apache Kafka experience with Franz, a native desktop client for macOS and Windows. Seamlessly manage Kafka topics, visualize data with Lua. Get ready to streamline your data operations with Franz.
Articles
Write libraries instead of services, where possible
its important to know where the costs lie
How Much Testing is Enough?
Summarizing Post Incident Reviews with GPT-4 - Canva Engineering Blog
Canva employs GPT-4 for efficient and consistent summarization of Post Incident Reports
Take Control of Apache Kafka With Franz
Take control of your Apache Kafka clusters from the comfort of your Mac, Windows or Linux desktop with Franz. Native on all platforms, no Docker containers necessary. Get 20% off for a limited time with code ARCNOTES20!
Franz: Native macOS and Windows Desktop Client for Apache Kafka
ScyllaDB on Kubernetes: How to Run Intense Workloads with Spot Instances
ScyllaDB on Kubernetes effectively handles intense workloads using cost-efficient spot instances
Building and operating a pretty big storage system called S3
The building and operation of a large-scale storage system - s3, highlighting key insights and strategies.
Projects
Welcome to MirageOS
MirageOS is a library operating system designed for creating unikernels.
River: a Fast, Robust Job Queue for Go + Postgres
River is a new job queue solution for Go and Postgres, designed to offer fast and robust transactional processing for building efficient applications
❤️ The Favourites - this section won't make an appearance every week, will usually be something that was a particularly high point in tech that impacts us all. If you see something worthy of the favourite, tweet at @arcnotes
Hixie’s Natural Log: Reflecting on 18 years at Google