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@laura_garcia shared a post, 4 months, 1 week ago
Software Developer, RELIANOID

🔐 RELIANOID & NIST Cybersecurity Framework Alignment

At RELIANOID, security is built into both our Load Balancer and our internal operations. We align our product and organizational practices with the NIST Cybersecurity Framework (CSF) across its five core functions: Identify, Protect, Detect, Respond, and Recover. ✔️ Consistent security controls acro..

NIST Cybersecurity Framework RELIANOID compliance
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@varbear shared a link, 4 months, 1 week ago
FAUN.dev()

Goodbye Microservices

Twilio Segment collapsed 140+ destination-specific microservices into asingle monolith, one repo, one set of dependencies, one test harness. They leveled out version sprawl and builtTraffic Recorder, a homegrown yakbak-based HTTP playback tool. That killed off hours-long test runs, dropping them to.. read more  

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@varbear shared a link, 4 months, 1 week ago
FAUN.dev()

Why I Didn’t Sign the Resonant Computing Manifesto: The Foundations Need Work

A sharp critique of theResonant Computing Manifestopushes it past vague ideals. It calls for real governance scaffolding, not just poetic prose. Without that? The manifesto risks becoming just another glossy PDF for entrenched players to wave around while changing nothing. Under the hood:What’s real.. read more  

Why I Didn’t Sign the Resonant Computing Manifesto: The Foundations Need Work
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@varbear shared a link, 4 months, 1 week ago
FAUN.dev()

Rust unit testing: file writing

To test file writes without hitting the disk, the author swaps in a closure that takes a file handle. That handle’s a test double, so after the code runs, you can crack it open and inspect what got written... read more  

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@varbear shared a link, 4 months, 1 week ago
FAUN.dev()

pqr.sql: Generate QR Codes with Pure SQL in PostgreSQL

A developer jammed out aQR code generator in pure SQL, just PostgreSQL, no extensions or libraries. One gnarly single-statement query. It even runs faster onPostgreSQL 17than on 16, thanks to engine tweaks... read more  

pqr.sql: Generate QR Codes with Pure SQL in PostgreSQL
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@varbear shared a link, 4 months, 1 week ago
FAUN.dev()

Full Unicode Search at 50× ICU Speed with AVX‑512

StringZilla v4.5drops a major speed bomb on Unicode text processing. Think10× faster tokenization and case folding. Up to150× faster for case-insensitive substring search. It leaves ICU and PCRE2 wheezing in the dust. Under the hood: SIMD all the way, AVX-512 on newer chips, plus script-aware SIMD k.. read more  

Full Unicode Search at 50× ICU Speed with AVX‑512
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@varbear shared a link, 4 months, 1 week ago
FAUN.dev()

5 engineering dogmas it's time to retire

Dependencies are risky, especially in smaller companies - avoid unnecessary packages to prevent security incidents and maintain code simplicity. Feature flags can become overwhelming if abused, leading to complex codebases and false sense of security - use them wisely. Commenting code is a balance -.. read more  

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@kaptain shared a link, 4 months, 1 week ago
FAUN.dev()

Dapr Deployment Models

Daprstarted as a humble Kubernetes sidecar. Now? It's a full-blownmulti-mode runtimethat runs wherever you need it,edge,VM, orserverless APIs. Diagrid’sCatalysttakes that further. It wraps Dapr in a fully managed API layer that’s detached from your app’s lifecycle. No infra lock-in, just token-based.. read more  

Dapr Deployment Models
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@kaptain shared a link, 4 months, 1 week ago
FAUN.dev()

v1.35: Job Managed By Goes GA

In Kubernetes v1.35,spec.jobControllerManagedByhits GA. That means full handoff of Job reconciliation to external controllers is now official. It unlocks tricks likeMultiKueue, where a single management cluster fires off Jobs to multiple worker clusters, without losing sight of what’s running where... read more  

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@kaptain shared a link, 4 months, 1 week ago
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Troubleshooting Cilium network policies: Four common pitfalls

Cilium’s Day 2 playbook covers the real work: dialing inL7 policy controls, tuningHubble observability, and wringing performance fromBPF. It's how you keep big Kubernetes clusters sane. The focus?Multi-tenant isolation,node-to-node encryption, and scaling cleanly withexternal etcdso the network does.. read more  

Claude is an AI assistant built by Anthropic, a safety-focused AI research company. It's designed around three core principles - being helpful, harmless, and honest - which shapes how it approaches everything from simple questions to complex, multi-step tasks. In practice, Claude handles a broad range of work: writing and editing, coding and debugging, research and summarization, data analysis, brainstorming, and extended back-and-forth conversation. It's built to engage thoughtfully rather than just generate output - it can push back when something seems off, ask clarifying questions, and reason through problems step by step. What sets Claude apart from many AI assistants is its emphasis on nuance and judgment. It tries to give calibrated answers - acknowledging uncertainty when it exists, avoiding overconfidence, and flagging when a question might not have a clean answer. It also has a large context window, making it well suited for long documents, complex codebases, or extended workflows. Claude is available through Claude.ai for individual users, through an API for developers building products and tools, and through Claude Code for agentic coding tasks directly in the terminal. The current model family includes Claude Opus 4.6, Claude Sonnet 4.6, and Claude Haiku 4.5 - ranging from lightweight and fast to highly capable for complex reasoning tasks.