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@devopslinks shared a link, 2ย weeks ago
FAUN.dev()

Shell Tricks That Actually Make Life Easier (And Save Your Sanity)

This post provides a collection of lesser-known terminal tricks that can improve productivity and efficiency when working in various POSIX shells. The tricks cover a range of functions, from efficient text manipulation to file operations and script writing. By incorporating these tips into daily wor.. read more ย 

Shell Tricks That Actually Make Life Easier (And Save Your Sanity)
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@devopslinks shared a link, 2ย weeks ago
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Donโ€™t trust, verify

Daniel Stenberg, creator of curl, argues that software security should be built on verification rather than trust, outlining the many ways a widely used project like curl could be compromised - from malicious insiders and breached credentials to hacked distribution sites and CI tool exploits. To cou.. read more ย 

Donโ€™t trust, verify
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@devopslinks shared a link, 2ย weeks ago
FAUN.dev()

Reducing our monorepo size to improve developer velocity

Dropbox cut itsmonorepofrom 87GB to 20GB. It ran a GitHubโ€‘approved serverโ€‘sidegit repack, tuned bywindow/depth. Clone times dropped to under 15 minutes. Engineers traced growth to Gitโ€™s 16โ€‘char path heuristic. That heuristic mispairedi18nfiles. They tested--path-walklocally, then ran phased replica .. read more ย 

Reducing our monorepo size to improve developer velocity
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@devopslinks shared a link, 2ย weeks ago
FAUN.dev()

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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@laura_garcia shared a post, 2ย weeks, 2ย days ago
Software Developer, RELIANOID

how to migrate ADC services from Array Networks APV Series to RELIANOIDโ€”step by step.

Migrating from legacy ADC platforms doesnโ€™t have to be complex. In our latest Knowledge Base article, we walk you through how to migrate ADC services from Array Networks APV Series to RELIANOIDโ€”step by step. ๐Ÿ” What youโ€™ll find inside: - Clear terminology mapping between both platforms - Practical mi..

Knowledge base migrate ADC services from ARRAY NETWORKS APV SERIES to RELIANOID
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@laura_garcia shared a post, 2ย weeks, 3ย days ago
Software Developer, RELIANOID

DevOpsCon Amsterdam 2026

- ๐——๐—ฒ๐˜ƒ๐—ข๐—ฝ๐˜€๐—–๐—ผ๐—ป ๐—”๐—บ๐˜€๐˜๐—ฒ๐—ฟ๐—ฑ๐—ฎ๐—บ ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฒ ๐—ถ๐˜€ ๐—ท๐˜‚๐˜€๐˜ ๐—ฎ๐—ฟ๐—ผ๐˜‚๐—ป๐—ฑ ๐˜๐—ต๐—ฒ ๐—ฐ๐—ผ๐—ฟ๐—ป๐—ฒ๐—ฟ! - Amsterdam, Netherlands April 20โ€“24, 2026 Simplify complexity, amplify agility, and accelerate innovation. Join DevOpsCon Amsterdam 2026 โ€” one of the leading conferences for professionals working with CI/CD, Kubernetes, Platform Engineering, ..

devopscon amsterdam april 26
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@sanjayjoshi shared a post, 2ย weeks, 4ย days ago

10+ Shadcn Table Components, Blocks & Tools

A curated list of Shadcn table components and blocks you can use in React and Next.js projects to build clean, flexible, and production-ready data tables faster.

Thumbnail Shadcn Table
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@sancharini shared a post, 2ย weeks, 4ย days ago

Black Box Testing Techniques to Improve Test Coverage

Learn black box testing techniques to improve test coverage. Explore methods like equivalence partitioning, boundary value analysis, and more with practical examples.

black box testing techniques
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@laura_garcia shared a post, 2ย weeks, 4ย days ago
Software Developer, RELIANOID

๐—ช๐—ผ๐—ฟ๐—น๐—ฑ ๐—ค๐˜‚๐—ฎ๐—ป๐˜๐˜‚๐—บ ๐——๐—ฎ๐˜†

๐Ÿš€ ๐—ช๐—ผ๐—ฟ๐—น๐—ฑ ๐—ค๐˜‚๐—ฎ๐—ป๐˜๐˜‚๐—บ ๐——๐—ฎ๐˜† ๐—ถ๐˜€ ๐—ต๐—ฒ๐—ฟ๐—ฒโ€ฆ and itโ€™s not just science fiction anymore. Quantum computing is rapidly moving from theory to realityโ€”and with it comes a ๐—บ๐—ฎ๐˜€๐˜€๐—ถ๐˜ƒ๐—ฒ ๐˜€๐—ต๐—ถ๐—ณ๐˜ ๐—ถ๐—ป ๐—ฐ๐˜†๐—ฏ๐—ฒ๐—ฟ๐˜€๐—ฒ๐—ฐ๐˜‚๐—ฟ๐—ถ๐˜๐˜† that organizations simply canโ€™t ignore. Hereโ€™s the uncomfortable truth: ๐Ÿ‘‰ The same technology that promises breakthrou..

quantum_computing_relianoid
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@hamzmu shared a link, 2ย weeks, 5ย days ago
Fellow, Rootly

Using Graphify to turn Incident Data into a Knowledge Graph

Karpathy said we should build LLM knowledge bases. 48 hours later made Graphify was made: one command, full semantic knowledge graph.

We applied the idea to incident data turning them into a queryable and interactable semantic graph. This lets us see past fixes, predict failures, cluster services, cut alert noise, and reveal team load in seconds.

If youโ€™re using Rootly, here is a small plugin to explore your incident data.

Check it out: github.com/Rootly-AI-Labs/rootly-graphify-importer

Interactive knowledge graph visualization of incident management data showing clustered services, alerts, and responders with connected nodes and relationships in Graphify
Winston AI is an advanced, all-in-one content verification platform designed to deliver the most accurate AI content detection available today. Recognized as the best AI detector by educators, students, publishers, journalists, researchers, and businesses worldwide, Winston AI helps users confidently verify whether content is written by a human, generated by AI, or a combination of both.

Built for academic, professional, and enterprise use, Winston AI addresses the growing need for transparency and authenticity in an AI-driven world. Whether reviewing essays, research papers, articles, marketing content, or digital publications, Winston AI provides fast, reliable, and explainable results that users can trust.

At the core of Winston AI is a powerful AI content checker capable of identifying text generated by ChatGPT, Claude, Google Gemini, and all known AI models. Winston AI continuously updates its detection systems to keep pace with the rapidly evolving AI landscape, ensuring consistent accuracy even as new models and writing techniques emerge.

Winston AI analyzes content at a deep linguistic level, evaluating structure, predictability, and stylistic patterns to distinguish AI-generated text from human writing. This advanced approach reduces false positives and delivers clear probability scores, helping users make informed decisions without uncertainty.

Winston AI goes beyond basic AI detection by offering a comprehensive suite of tools designed to support content authenticity, credibility, and integrity across multiple formats.

AI Detector
Accurately identifies AI-generated, human-written, and mixed text with detailed confidence scores and sentence-level insights.

Plagiarism Checker
Detects copied or unoriginal content across academic and professional sources, supporting originality and ethical content creation.

Fact Checker Tool
Helps verify claims and statements within content, reducing misinformation and improving accuracy for research, journalism, and publishing.

AI Image & Deepfake Detector
Analyzes images to determine whether they were generated or manipulated by AI, helping users identify synthetic visuals and deepfake content.

Writing Feedback
Provides actionable feedback on clarity, structure, and quality, supporting students, educators, and professionals in improving written work.

HUMN-1 Website Certification
Allows websites to display a trust signal certifying human-verified content, reinforcing transparency and credibility with audiences and search engines.

Together, these tools make Winston AI a complete solution for verifying authenticity, accuracy, originality, and credibility across text, images, and websites.