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@laura_garcia shared a post, 4ย weeks ago
Software Developer, RELIANOID

๐—ฒ๐—ป๐—ฎ๐—ฏ๐—น๐—ฒ ๐—ฆ๐—ฒ๐—ฐ๐˜‚๐—ฟ๐—ฒ ๐—•๐—ผ๐—ผ๐˜ ๐—ถ๐—ป ๐—ฅ๐—˜๐—Ÿ๐—œ๐—”๐—ก๐—ข๐—œ๐—— ๐—˜๐—ป๐˜๐—ฒ๐—ฟ๐—ฝ๐—ฟ๐—ถ๐˜€๐—ฒ ๐—˜๐—ฑ๐—ถ๐˜๐—ถ๐—ผ๐—ป

๐—ฆ๐—ฒ๐—ฐ๐˜‚๐—ฟ๐—ฒ ๐—•๐—ผ๐—ผ๐˜ + ๐—ฅ๐—˜๐—Ÿ๐—œ๐—”๐—ก๐—ข๐—œ๐—— = ๐˜ด๐˜ต๐˜ณ๐˜ฐ๐˜ฏ๐˜จ๐˜ฆ๐˜ณ ๐˜ต๐˜ณ๐˜ถ๐˜ด๐˜ต from the very first instruction executed. Here's a practical guide on ๐—ต๐—ผ๐˜„ ๐˜๐—ผ ๐—ฒ๐—ป๐—ฎ๐—ฏ๐—น๐—ฒ ๐—ฆ๐—ฒ๐—ฐ๐˜‚๐—ฟ๐—ฒ ๐—•๐—ผ๐—ผ๐˜ ๐—ถ๐—ป ๐—ฅ๐—˜๐—Ÿ๐—œ๐—”๐—ก๐—ข๐—œ๐—— ๐—˜๐—ป๐˜๐—ฒ๐—ฟ๐—ฝ๐—ฟ๐—ถ๐˜€๐—ฒ ๐—˜๐—ฑ๐—ถ๐˜๐—ถ๐—ผ๐—ป using the standard shim + MOK approach. ๐Ÿ” Whatโ€™s inside: - Why Secure Boot canโ€™t be enabled on first install - Step-by-step MOK enr..

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@laura_garcia shared a post, 4ย weeks, 1ย day ago
Software Developer, RELIANOID

๐—›๐—ฎ๐—ฐ๐—ธ ๐—ฆ๐—ฝ๐—ฎ๐—ฐ๐—ฒ ๐—–๐—ผ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฒ

๐Ÿš€ ๐—›๐—ฎ๐—ฐ๐—ธ ๐—ฆ๐—ฝ๐—ฎ๐—ฐ๐—ฒ ๐—–๐—ผ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฒ ๐Ÿ“ Kennedy Space Center ๐Ÿ“… May 6โ€“9, 2026 ๐™’๐™๐™š๐™ง๐™š ๐™˜๐™ฎ๐™—๐™š๐™ง๐™จ๐™š๐™˜๐™ช๐™ง๐™ž๐™ฉ๐™ฎ ๐™ข๐™š๐™š๐™ฉ๐™จ ๐™จ๐™ฅ๐™–๐™˜๐™š ๐™ž๐™ฃ๐™ฃ๐™ค๐™ซ๐™–๐™ฉ๐™ž๐™ค๐™ฃ. Hack Space Con is not your typical event โ€” itโ€™s where cybersecurity, aerospace, and advanced technologies converge to shape the future of security beyond Earth. ๐Ÿ” ๐—ช๐—ต๐—ฎ๐˜ ๐˜๐—ผ ๐—ฒ๐˜…๐—ฝ๐—ฒ๐—ฐ๐˜: - Hands-on techn..

HACKSPACECON2026_florida_RELIANOID
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@varbear shared a link, 4ย weeks, 1ย day ago
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How To Make a Fast Dynamic Language Interpreter

Zef's AST-walking interpreter posts a 16.6ร— speed-up. The gains come from surgical changes:64-bit tagged values,AST node & RMW specialization,symbol hash-consing,inline caches, and a shapedobject model. Developers built it onFil-C++and later ported it toYolo-C++. The Yolo build adds ~4x speed, at th.. read more ย 

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@varbear shared a link, 4ย weeks, 1ย day ago
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How We Reduced Median Memory Estimation Error by 99%, With the Help of AI

The compaction pipeline at Mixpanel ran into memory estimation issues causing OOMKills. By implementing AI-assisted analysis, they were able to reduce median estimation errorby 99%, leading to a significant improvement in memory estimation accuracy. Through thorough analysis and exploration of alter.. read more ย 

How We Reduced Median Memory Estimation Error by 99%, With the Help of AI
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@varbear shared a link, 4ย weeks, 1ย day ago
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Agentic Coding is a Trap

AI-driven coding agents are the hot new trend, but beware of the trade-offs: increased complexity, skills atrophy, vendor lock-in, and fluctuating costs. Only skilled developers can spot issues in the vast lines of generated code, but paradoxically, AI tools are impacting critical thinking skills ne.. read more ย 

Agentic Coding is a Trap
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@varbear shared a link, 4ย weeks, 1ย day ago
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A Couple Million Lines of Haskell: Production Engineering at Mercury

Mercury runs ~2M lines ofHaskellin production. They choseTemporalto replace cron and DB-backed state machines. Durable workflows replace brittle coordination. They open-sourced aHaskellSDK forTemporal, wired inOpenTelemetryhooks, and pushed records-of-functions plus domain-error types... read more ย 

A Couple Million Lines of Haskell: Production Engineering at Mercury
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@varbear shared a link, 4ย weeks, 1ย day ago
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When upserts don't update but still write: Debugging Postgres performance at scale

The Datadog team introduced a new upsert query to track inactive hosts, but it unexpectedly increased disk writes and WAL syncs due to row locking. By digging into Postgres's Write-Ahead Logging (WAL) and rewriting the query using a Common Table Expression (CTE), they avoided unnecessary overhead an.. read more ย 

AWX is the open source, community supported upstream project for Red Hat Ansible Automation Platform, formerly known as Ansible Tower. It gives teams a web based interface, a full REST API, and a distributed task engine on top of Ansible, turning command line playbook runs into a managed, auditable automation service.

The project began at AnsibleWorks as the commercial Ansible Tower product, and after Red Hat acquired Ansible, it open sourced the codebase as AWX in September 2017, positioning it as the development ground where new features land before they are hardened into the supported Automation Platform controller. With AWX, you organize automation around projects (synced from Git or other source control), inventories (static or dynamically pulled from cloud providers), credentials (stored encrypted and injected at runtime), and job templates that tie a playbook to its inventory and credentials. On top of that, it adds role based access control, a visual dashboard, job scheduling, workflow chaining, webhooks, and real time job output, so multiple teams can run, track, and delegate automation without sharing SSH keys or sitting at a terminal.

Modern AWX runs on Kubernetes or OpenShift through the AWX Operator, which manages installation, upgrades, and scaling declaratively, reflecting its shift from a single host application to a cloud native, container based platform. Because it is the upstream of a paid product, AWX moves fast and ships frequently, which makes it ideal for labs, learning, and self managed deployments, though teams needing formal support and long term stability typically run the downstream Automation Platform instead.