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🌳 LSM Trees
Write Optimization, Compaction, Level Structure, RocksDB Internals
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26448
posts in
676.2
ms
Machine learning reveals hidden
landscape
of
robust
information storage
phys.org
·
1d
💾
Persistence Strategies
🎲
Architecting
for Resilience: When 150
RPS
Becomes 2,000: Finding the Bottleneck
d13z.dev
·
1d
🏗️
Infrastructure Economics
AI-augmented
data quality engineering
infoworld.com
·
2d
🔍
AI Interpretability
Compound
Engineering: The
Definitive
Guide
kill-the-newsletter.com
·
1d
💾
Persistence Strategies
A high-performance Go framework (
250k
+
req/sec
) with built-in batteries
go-kvolt.github.io
·
1d
⚡
Glommio
Evolving
our real-time
timeseries
storage again: Built in Rust for performance at scale
datadoghq.com
·
2d
📱
Embedded Databases
Scaling
GraphLLM
with
Bilevel-Optimized
Sparse Querying
arxiv.org
·
11h
💰
Cost-Based Optimization
A Note on
Flat
Abstract
Syntax
Trees
gist.github.com
·
1d
·
Discuss:
Hacker News
📏
Linear Types
When
Bigger
Instances
Don’t Scale
scylladb.com
·
1d
·
Discuss:
r/programming
⚡
Systems Performance
QUOKA
: Query-Oriented KV Selection For Efficient LLM
Prefill
arxiv.org
·
1d
🧠
LLM Inference
January 2026 Monthly report | Alternative Rust
Compiler
for
GCC
rust-gcc.github.io
·
1d
·
Discuss:
r/rust
⚙
Rust Compiler Internals
Going
raw
dog on the
database
mkennedy.codes
·
1d
⚡
DataFusion
Linux
Zoned
Storage
Ecosystem
zonedstorage.io
·
2d
🗜️
Compaction
Show HN: Bitcoin,
GEB
, and Bach's
fugues
share the same structural move
falsework.dev
·
31m
·
Discuss:
Hacker News
🪨
RocksDB
Uncached
buffered
IO [LWN.net]
lwn.net
·
21h
⚡
Glommio
🦆 Lance x
DuckDB
SQL Retrieval, 🚗 Uber-Scale Storage, ⚡ 1.5M
IOPS
kill-the-newsletter.com
·
1d
🚀
LanceDB
Btrfs
Brings Experimental
Remap-Tree
Feature & More In Linux 7.0
phoronix.com
·
1d
·
Discuss:
Hacker News
📜
Atuin
sohzm/jasonisnthappy
: simple, embeddable document database with acid guarantees
github.com
·
6d
·
Discuss:
Lobsters
,
Hacker News
,
r/opensource
🪨
RocksDB
DFlash
: Block Diffusion for Flash
Speculative
Decoding
z-lab.ai
·
1d
·
Discuss:
Hacker News
🕯️
Candle ML
llama.cpp
guide - Running LLMs
locally
, on any hardware, from scratch
blog.steelph0enix.dev
·
2d
🏗️
LLM Infrastructure
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