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@bergerx started using tool Python , 3 weeks, 3 days ago.

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@bergerx started using tool Kubernetes Dashboard , 3 weeks, 3 days ago.

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@bergerx started using tool Kubernetes , 3 weeks, 3 days ago.

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@bergerx started using tool Kubectl , 3 weeks, 3 days ago.

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@bergerx started using tool Kubeadm , 3 weeks, 3 days ago.

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@bergerx started using tool Go , 3 weeks, 3 days ago.

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@faun shared a link, 4 weeks 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...

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@faun shared a link, 4 weeks ago

OpenAI Agent Builder: A Complete Guide to Building AI Workflows Without Code

OpenAI’sAgent Builderdrops the guardrails. It’s a no-code, drag-and-drop playground for building, testing, and shipping AI workflows - logic flows straight from your brain to the screen. Tweak interfaces inWidget Studio. Plug into real systems with theAgents SDK. Just one catch: it’s locked behind P..

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@faun shared a link, 4 weeks 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 ..

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@faun shared a link, 4 weeks 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..

Snapper is a command-line tool developed by SUSE for managing filesystem snapshots. It allows users to create, delete, compare, and restore snapshots of their system or data. A snapshot is a read-only point-in-time copy of a filesystem, useful for recovering from system changes or errors. Snapper integrates deeply with the SUSE ecosystem and works primarily with Btrfs, though it also supports LVM with thin provisioning. It can automatically take snapshots before and after software updates or system modifications, helping users track what changed and roll back if necessary. By using pre and post snapshots, Snapper provides a simple way to undo changes or restore files without requiring full system backups. It also supports automatic cleanup routines to manage disk space efficiently. In practice, Snapper serves as both a safety net and a diagnostic tool, making it easier to maintain system stability and recover quickly from mistakes or failed updates.