ContentPosts from @meibutuoyaji..
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@bergerx started using tool Kubernetes , 1 day, 17 hours ago.
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@bergerx started using tool Kubectl , 1 day, 17 hours ago.
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@bergerx started using tool Kubeadm , 1 day, 17 hours ago.
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@bergerx started using tool Go , 1 day, 17 hours ago.
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@faun shared a link, 5 days ago

Going down the rabbit hole of Postgres 18 features by Tudor Golubenco

PostgreSQL 18 just hit stable. Big swing! Async IO infrastructureis in. That means lower overhead, tighter storage control, and less CPU getting chewed up by I/O. Adddirect IO, and the database starts flexing beyond traditional bottlenecks. OAuth 2.0? Native now. No hacks needed. UUIDv7? Built-in su..

Going down the rabbit hole of Postgres 18 features by Tudor Golubenco
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@faun shared a link, 5 days ago

Development gets better with Age

A longtime AWS insider, Werner Vogels, breaks down the shift from slow-and-steady software growth to the generative AI rocket ride. Capabilities soared. Guardrails? Not so much. No docs, no handrails - just launch and learn. AWS didn’t chase the hype. It pulled a classic AWS move: doubled down on B2..

Development gets better with Age
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@faun shared a link, 5 days ago

Advanced PostgreSQL Indexing: Multi-Key Queries and Performance Optimization

Advanced PostgreSQL tuning gets real results: composite indexes and CTEs can cut query latency hard when slicing huge datasets. AddLATERALjoins and indexed subqueries into the mix, and you’ve got a top-N query pattern that holds up—even when hammering long ID lists...

Advanced PostgreSQL Indexing: Multi-Key Queries and Performance Optimization
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@faun shared a link, 5 days ago

walrus: ingesting data at memory speeds

Walrusis a lock-free, single-nodeWrite Ahead Log in Rustthat rips through a million ops/sec and moves 1 GB/s of write bandwidth - on bare-metal, nothing fancy. It leans on mmap-backed sparse files, atomic counters, and zero-copy reads to get there. Each topic gets its own line of 10MB memory-mapped ..

walrus: ingesting data at memory speeds
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@faun shared a link, 5 days ago

Inside Husky’s query engine: Real-time access to 100 trillion events

SteamPipe just gutted its real-time storage engine and rebuilt it inRust. Expect faster performance and better scaling. Now runs oncolumnar storage, ships withvectorized queries, and rolls anobject store-backed WAL. Serious firepower for time series data. System shift:Another sign that high-throughp..

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@faun shared a link, 5 days ago

How I Block All 26 Million Of Your Curl Requests

A developer built a razor-sharp TLS fingerprinting and blocking tool - all in kernel space - witheBPFandXDP. It hooks into incoming packets, scrapes TLS Client Hello messages, and cranks out simplified JA4-style hashes from their cipher suite lists. The fun part? It's running under tight stack limit..

How I Block All 26 Million Of Your Curl Requests