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From 1 October 2026, Scotland will restrict the prominent placement and certain promotions of high-fat, high-sugar and high-salt foods in larger shops, both in-store and online. The measures aim to reduce impulse purchases, encourage healthier eating habits and help address obesity, while limiting the impact on smaller businesses.

RobloxDB is Roblox’s in-house, next-generation ‌multi-tenant distributed database platform‌ that underpins every online data workload across the Roblox ecosystem, built entirely by Roblox’s dedicated database engineering team rather than relying solely on off-the-shelf solutions .

It is purpose-engineered to meet the platform’s extreme global scale requirements, supporting high-QPS, low-latency operations for tens of millions of concurrent users, while delivering strong consistency, multi-region high availability, and elastic scaling to keep services fast, reliable, and cost-efficient as Roblox’s user base and data footprint expand toward multi-exabyte volumes .

Core technical capabilities of RobloxDB include custom-built database engine enhancements (optimized indexing, storage formats, WAL, replication protocols, sharding, and query planner improvements), an advanced control plane that enables autonomous healing, zero-downtime schema updates, and seamless tenant migration across global regions, plus full integration with Kubernetes/Nomad container orchestration stacks paired with comprehensive observability frameworks . The team behind RobloxDB also actively contributes upstream improvements to open-source ecosystems including #PostgreSQL and RocksDB, extending the value of their custom engineering work to the broader database community .

The system is built on deep expertise in database internals (B-trees, MVCC, buffer management), consensus algorithms (Raft, Paxos), and low-level performance optimization, with rigorous automation for testing, CI/CD, rollout safety, and auto-scaling that allows the platform to operate reliably at massive scale with minimal manual intervention

https://careers.roblox.com/jobs/8129410

This analysis set out to test the common but under-proven intuition that a strong type system helps LLM agents produce more correct results, running a controlled benchmark that kept the AI model, underlying dataset and set of test questions consistent while swapping between the #SQL, Cypher and TypeQL query languages to isolate this effect. While #SQL had the highest single-shot success rate, TypeQL’s robust type checker caused 93% of its incorrect queries to throw clear visible errors, compared to just 5% for #SQL and 40% for Cypher, and when paired with a simple retry loop that feeds these errors back to the LLM to fix, TypeQL ultimately achieved the highest overall query accuracy.

https://typedb.com/blog/benchmarking-llm-query-generation-across-sql-cypher-and-typeql

SurrealDB 3.3.0 lets any #Postgres client connect and query the database, delivers results row by row as they are generated, and dramatically speeds up graph traversals and filtered searches by combining indexes as bitmaps to minimize unnecessary record reads. It also adds locked reads, per-session permission contexts, JWT audience validation, S3/GCS/Azure cloud storage support for file buckets, and Chinese, Japanese, Korean word segmentation for full-text search, alongside automatic in-place data migrations from 3.2 without requiring manual exports or imports. The release includes hundreds of performance tweaks and bug fixes, and makes the ISO #GQL (Cypher Query Language) functionality available by default without needing an experimental flag enabled.

https://surrealdb.com/releases/3.3

Go 1.27 introduces an experimental, portable SIMD API that lets developers write vectorized code once and run it efficiently across different CPU architectures, while providing emulation where SIMD hardware isn’t available. It aims to make high-performance data processing easier without requiring architecture-specific assembly, though the API is still experimental and limited to operations that can work consistently across platforms.

https://go.dev/blog/simd-experiment