Giorgos Saloustros

[Giorgos Saloustros @gesalous]

Check out our new paper on Tebis (https://t.co/wz9FkbG09Q), a distributed LSM KV store that enhances efficiency by managing local NVMe devices with Parallax LSM KV store (https://t.co/GXQJ2Vlqib) and shipping the index to avoid compaction at replicas.

[Giorgos Saloustros @gesalous]

@jorandirkgreef @adeevicc Great suggestions! Are these inspired by this classic paper https://t.co/TJKfc0kCgS

[tetsuo @tetsuoai]

RAW Sockets in C

[Giorgos Saloustros @gesalous]

@gwenshap “memory ≠ storage” probably comes from:
-Storage media latency (HDD, flash) was in the ms–µs range, so you hid it behind PCIe + DMA
-Flash SSDs never exposed their whole address space as a PCIe region — instead, MMIO regs + an LBA interface. Probably simpler device design.

[Giorgos Saloustros @gesalous]

@gwenshap Been thinking along the same lines for CXL‑SSDs: flash exposed over PCIe as a coherent address space, CXL to trim latency, CPUs/GPUs using plain load/store, and DRAM caches hiding flash latency + GC. Curious to see how NVM ends up getting packaged in these kinds of products.

[Giorgos Saloustros @gesalous]

@aerospikedb Flash endurance is rarely a bottleneck today; with ≤300B keys, WA is often just 2–5×. Tail latency has also improved: https://t.co/DxB6wrcjmp

[Giorgos Saloustros @gesalous]

@aerospikedb Most modern LSM engines (e.g., RocksDB) use leveled compaction rather than size‑tiered.
• In leveled designs, Bloom filters aren’t needed at the largest level → far less memory use, predictable lookups (≈1 I/O).

[Giorgos Saloustros @gesalous]

@aerospikedb Flash endurance is rarely a bottleneck today; with ≤300B keys, WA is often just 2–5×. Tail latency has also improved: https://t.co/DxB6wrcRbX

[Giorgos Saloustros @gesalous]

@aerospikedb A very good overview — thanks for sharing, this is really interesting tech. Just to add a few clarifications for readers

[Debasish (দেবাশিস্) Ghosh 🇮🇳 @debasishg]

Found this C book, Modern C, h/t @RuiCarrilho5 - published by @ManningBooks but a free copy available for download from INRIA.
If you are looking for some advanced C based on C23, look at Level 3 of the book - an awesome platter of topics such as performance, reentrancy, atomicity, threads, and type-generic programming.

[The Figen @TheFigen_]

They are ants solving a geometric problem and it is great in color.

[TigerBeetle @TigerBeetleDB]

matklad's talk from @hytradboi 2025 is up!

- Deterministic Simulation Testing doesn't work with classical, finite CI
- CI is "edge triggered", DST needs "level trigger"
- But you can do DST CI yourself!

See the end result at https://t.co/wU5ApNvfRC

https://t.co/neO5O7hnzU

[TigerBeetle @TigerBeetleDB]

Joran's talk from @Interledger Summit is up!

- In 7 years, OLTP increased 3 orders
- Existing infra is general purpose, 20-30 years old
- What will the future look like?

Plus, questions from @justmoon and @copernicc, former Chief Architect of SWIFT.

https://t.co/5Y6wmrfGrS

[wangbin579 @wangbin579]

If you're interested in databases, this paper is a must-read! It provides an in-depth analysis of the challenges faced when implementing MVCC in most databases and their solutions.

[Epic Maps 🗺️ @theepicmap]

7. Antarctica without ice

[Giorgos Saloustros @gesalous]

@ThaleiaDimitra Μπράβο Θάλεια!

[Abhinav Upadhyay @abhi9u]

What every systems programmer should know about concurrency—a very dense but impactful read. Things like lock free and wait free synchronisation techniques will stop seeming like black box if you understand this.

[François Zaninotto @francoisz]

Embeddings are a powerful way to find semantic similarities between pieces of content, but they are heavy. By compressing embeddings into arrays of bits instead of 32bits floats, you drop their size dramatically while only losing 10% in accuracy. #AI https://t.co/a1g30cax72

[Robert C. Seacord (@[email protected]) @RCS]

C23 appears to have been published:
https://t.co/kdjAM5eMmu
I sort of expected to get a formal notification of some kind, but ¯\_(ツ)_/

Thanks to everyone who contributed to this effort over the past decade or so, particularly our editors @__phantomderp and Freek Wiedijk.

[Brendan Gregg @brendangregg]

AI Flame Graphs: Showing what's actually running on the HW and how we got there. Uses Intel EU stall profiling and eBPF. https://t.co/zIkkBG5nly

[ahmet alp balkan @ahmetb]

Reading this awesome mini book on Linux page caching today https://t.co/iMGL08SRHw