My career in data started as a SQL Server performance specialist, which meant I was deep into the nuances of indexes, locking and blocking, execution plan analysis and query design. These days I’m mor...

Gateway API Benchmarks provides a common set of tests to evaluate a Gateway API implementation. - howardjohn/gateway-api-bench

I recently blogged about why I believe the future of cloud data services is large-scale and multi-tenant, citing, among others, S3.  “ Top tier SaaS services like S3 are able to deliver amazing ...

This is a discussion about a new syntax that may be used to handle errors. This is issue #71203 converted into a discussion. I've written a tool that converts ordinary Go code into code that uses t...

YouTube video by CNCF [Cloud Native Computing Foundation]

I'm starting this discussion to collect early feedback on a draft design for a kind of region-based memory management in Go. There is no prototype yet, only a design and a preliminary evaluation. P...

Docstore is Uber's in-house, distributed database built on top of MySQL®. Storing tens of PBs of data and serving tens of millions of requests/second, it is one of the largest database engines at Uber used by microservices from all business verticals. Since its inception in 2020, Docstore users and use cases are growing, and so are the request volume and data footprint. The growing number of demands from business verticals and offerings introduces complex microservices and dependency call graphs. As a result, applications demand low latency, higher performance, and scalability from the database, while simultaneously generating higher workloads.