Related reading
Tempo 3.1 release: new features for Kafka, TraceQL metrics updates, trace redaction, and more
Tempo 3.1 enhances Kafka ingestion with TLS/SASL support, rack-aware fetching, and configurable compression, improving security and cost efficiency. It also introduces TraceQL query-based trace redaction for sensitive data and sampling-aware TraceQL metrics for more accurate insights from sampled traces.
Grafana Labsgrafana.com15 minreleaseArchitecture of a Database System
The paper surveys the internal architecture of modern relational DBMSs, describing the main components—client communications, process management, query processing, storage, and transaction management—and how they interact during a query lifecycle. It highlights design decisions such as admission control, buffer management, and concurrency control that are critical for scalability and reliability.
Hall of Fameberkeley.edu161 minpaperHN31Dynamo: Amazon's Highly Available Key-value Store
Dynamo is Amazon's highly available key‑value store that trades strong consistency for availability using consistent hashing, vector‑clock versioning, quorum reads/writes, and a gossip‑based membership protocol. The paper shows that an eventually‑consistent design can run at massive scale with strict latency SLAs.
Hall of Fameallthingsdistributed.com65 minpaperHN2Article: Your Next DSL Author Is a Language Model
Typed Domain Grounding (TDG) embeds a DSL inside a mainstream language the LLM already knows (e.g., Kotlin) and uses the host compiler as an oracle. The author describes five building blocks—embedding, choosing a host language with high training‑data frequency, compiler‑driven type safety, a generate‑compile‑repair loop, and an on‑demand teaching tool—and shows measured results from kUML, a Kotli…
InfoQinfoq.com18 minAmazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases
Amazon Aurora is a cloud-native relational database that decouples compute from storage, offloading redo log processing to a purpose-built, multi-tenant storage service. This architecture significantly reduces network I/O, enables fast crash recovery, and provides high durability and availability through a novel 6-way replication quorum model.
Hall of Famestanford.edu47 minpaperHow Discord Stores Trillions of Messages
Discord migrated its trillion‑message store from a problematic Cassandra cluster to ScyllaDB, adding Rust‑based data services that coalesce requests and hash‑route traffic to tame hot partitions and reduce latency.
Hall of Famediscord.com11 minHN435234
/)
