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@viktoriia-yarosh shared a post, 10 months, 4 weeks ago
Freshcode

How Clojure shapes teams and products. Part 2

Curious how Clojure shapes teams and products beyond the hype? Tune into episodes 5–10 of “Clojure in Product. Would you do it again?” to hear leaders from startups to enterprises share real stories on scaling, tackling complexity, and building sustainable, high-impact software with smaller, focused teams. Discover why Clojure isn’t just a language – it’s a game-changing approach to development. Listen now and see what thoughtful tech choices can do for your business!

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@laura_garcia shared a post, 10 months, 4 weeks ago
Software Developer, RELIANOID

🚨 Cyberattack on Qantas highlights growing threats to aviation

Up to 6 million customers affected via a third-party breach – allegedly linked to Scattered Spider, a group known for social engineering and supply chain attacks. 🔍 The lesson? The weakest link is often outside the organization. ✈️ At RELIANOID, we help airlines and critical services stay protected ..

Blog quantas breach Aviation Cyber Risks and Need for Proactive Defense
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@faun shared a link, 11 months ago
FAUN.dev()

Asynchrony is not Concurrency

Asynchronyisn't a twin toConcurrencyin Zig. It juggles async tasks without leaning on multi-threading, letting sync and async mingle harmoniously. Concurrency craves overlap, but Zig's savvy. When resources get stingy, it smartly reverts tasks to synchronous, dodging drama like deadlocks or sudden c.. read more  

Asynchrony is not Concurrency
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@faun shared a link, 11 months ago
FAUN.dev()

10 Unspoken NestJS Secrets for Production at Scale

UnlockNestJSspeed by steering clear of full module preloads. This trick slashes cold start drags, cutting first request delays by up to10 seconds... read more  

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@faun shared a link, 11 months ago
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“A Programmer Who Reads Is Worth Two”: Tech Books for Summer 2025

Crafting an LLM from the ground up? Dive intoSebastian Raschka’s guide. It tackles everything: data wrangling to toeing the ethical line. Seasoned ML pros will nod in approval. Craving a sharp take on AI’s charming deceptions?Narayanan & Kapoor's"AI Snake Oil" spills the beans on marketing myths wit.. read more  

“A Programmer Who Reads Is Worth Two”: Tech Books for Summer 2025
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@faun shared a link, 11 months ago
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Understand CPU Branch Instructions Better

Branch prediction matters. Why? About a quarter of instructions are branches, and modern CPUs nail an accuracyabove 90%. Yet, those often-pesky branches can choke CPUs, stalling instruction flow. So, take a wrench to yourif-else logic. Trim indirect branches whenever you can—your CPU will thank you... read more  

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@faun shared a link, 11 months ago
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Containers: Everything You Need To Know

cgroupsand namespaces anchor Linux containers, isolating resources and processes like gatekeepers with a mission. On macOS and Windows, these containers ride in VMs withWSL2orLinuxKit, putting on their "welcome to the virtual world" hats. EnterrunC, executing OCI-built images with isolation flair, w.. read more  

Containers: Everything You Need To Know
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@faun shared a link, 11 months ago
FAUN.dev()

Crawling a billion web pages in just over 24 hours

Imagine tearing through1 billion pages in a single dayon a shoestring budget. This crawler pulled it off with12 nodes and some savvy async maneuvering. But here's the kicker: it wasn’t the fetching that choked the CPU. Nope, it was the parsing. Today’s web behemoths, bloated with JavaScript and othe.. read more  

Crawling a billion web pages in just over 24 hours
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@faun shared a link, 11 months ago
FAUN.dev()

Exhausted man defeats AI model in world coding championship

A weary-eyed Polish coder,Przemysław Dębiak, bested an OpenAI model in a grueling 10-hour face-off, reminiscent ofJohn Henry’sepic duel against the steam-powered behemoth... read more  

Exhausted man defeats AI model in world coding championship
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@faun shared a link, 11 months ago
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How to catch GitHub Actions workflow injections before attackers do

GitHub Actions injections areone of the most common vulnerabilities in projects. Use CodeQL to scan workflows and protect against these risks effectively... read more  

BigQuery is a cloud-native, serverless analytics platform designed to store, query, and analyze massive volumes of structured and semi-structured data using standard SQL. It separates storage from compute, automatically scales resources, and eliminates the need for infrastructure management, indexing, or capacity planning.

BigQuery is optimized for analytical workloads such as business intelligence, log analysis, data science, and machine learning. It supports real-time data ingestion via streaming, batch loading from cloud storage, and federated queries across external data sources like Cloud Storage, Bigtable, and Google Drive.

Query execution is distributed and highly parallel, enabling interactive performance even on petabyte-scale datasets. The platform integrates deeply with the Google Cloud ecosystem, including Looker for BI, Vertex AI for ML workflows, Dataflow for streaming pipelines, and BigQuery ML, which allows users to train and run machine learning models directly using SQL.

Built-in security features include fine-grained IAM controls, column- and row-level security, encryption by default, and audit logging. BigQuery follows a consumption-based pricing model, charging for storage and queries (on-demand or reserved capacity).