Insights
Practical writing on software architecture, SaaS products, AI automation, legacy modernisation, and the business of building reliable systems.
Curated links from external sources — not 360Softy original articles.
We use GPT-4 for content policy development and content moderation decisions, enabling more consistent labeling, a faster feedback loop for policy refinement, and less involvement from human moderators.
Vercel now supports and automatically optimizes your as of Vercel CLI . When importing a new project, it will detect Hydrogen and configure the right settings for optimal performance — including using for server-rendering pages.Hydrogen 2 projectsVercel Edge Functionsv31.2.3 Deploy the or run command in your terminal to get started.Hydrogen templatevercel init hydrogen-2 Read more
Every day PlanetScale processes more than 10 billion of our customers’ queries. We need to collect, store, and serve telemetry data generated by these queries to power Insights, our built-in query performance tool. This post describes how we built a scalable telemetry pipeline using Apache Kafka and a sharded PlanetScale database. Insights requirements To show you Insights, we pull from the following datasets: Database-level time series data (e.g., queries per second across the entire database).
Accelerate is going into Preview! Learn how to enable high-speed, scalable applications with a global cache and connection pooler.
For too long, web race condition attacks have focused on a tiny handful of scenarios. Their true potential has been masked thanks to tricky workflows, missing tooling, and simple network jitter hiding
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