Join us

ContentUpdates and recent posts about BigQuery..
Link
@faun shared a link, 4 months, 3 weeks ago
FAUN.dev()

OpenAI prepares to launch GPT-5, but big leaps are unlikely

Internal testing showsGPT-5edges ahead of GPT-4—better code, cleaner math, sharper step-by-step thinking. But no breakthrough. No leap. OpenAI even scrapped “Orion,” the original GPT-5 push, and settled on GPT-4.5 instead. Translation: scaling Transformers is hitting a wall. System pivot:OpenAI’s n.. read more  

OpenAI prepares to launch GPT-5, but big leaps are unlikely
Link
@faun shared a link, 4 months, 3 weeks ago
FAUN.dev()

Code Execution Through Deception: Gemini AI CLI Hijack

Tracebit discovered a silent attack on Gemini CLI due to improper validation, prompt injection, and misleading UX leading to execution of malicious commands without user awareness. Google fixed this in v0.1.14... read more  

Link
@faun shared a link, 4 months, 3 weeks ago
FAUN.dev()

6 Weeks of Claude Code

Puzzmo just nuked years of tech debt in six weeks thanks toClaude Code, Anthropic’s AI-powered dev sidekick. With a clean monorepo, tight tooling (React, GraphQL, Relay), and some well-aimed prompts, one engineer knocked out core migrations, unified the UI, and abstracted the CMS—all without derail.. read more  

6 Weeks of Claude Code
Link
@faun shared a link, 4 months, 3 weeks ago
FAUN.dev()

One Dataset. No Warning. Google Took Everything. You’re Not Safe Either.

An indie dev got their Google account nuked—no warning—right after unzipping an NSFW dataset on Drive. It was for benchmarking a private, on-device AI model that actually beat the cloud. Didn’t matter. The system flagged a CSAM violation, locked everything, and offered no appeals. Key takeway:If yo.. read more  

Link
@faun shared a link, 4 months, 3 weeks ago
FAUN.dev()

AWS CLI Cheatsheet

The AWS CLI lets developers skip the console and drive AWS straight from the terminal. It’s scriptable, cross-region, and built for automation. Run a command, get back JSON. Pipe it intojq, slice what you need, done. Tab-completion and in-line help make it faster to poke around and stitch together .. read more  

Link
@faun shared a link, 4 months, 3 weeks ago
FAUN.dev()

Indexed Views in SQL Server: A Production DBA's Complete Guide

Indexed viewsare apowerfulyet underutilized feature in SQL Server for optimizing complex query performance, with potential for significant performance gains in read-heavy applications. Automatic query substitution is a game-changer when it comes to leveragingindexed viewsfor performance optimization.. read more  

Link
@faun shared a link, 4 months, 3 weeks ago
FAUN.dev()

GitOps Done Right: 10 Best Practices That Make It Work

GitOps ditches hand-rolled deployment scripts for a cleaner, declarative model. Git becomes the truth. Agents likeArgo CDorFlux CDwatch for changes and sync your clusters on their own. It’s not just about pushing YAML. Good GitOps setups lean onKustomizefor modular config, wire inautomated image up.. read more  

GitOps Done Right: 10 Best Practices That Make It Work
Link
@faun shared a link, 4 months, 3 weeks ago
FAUN.dev()

When Process Becomes Latency: Optimizing Incident Response Cadence

In incident response, adaptability is key. Instead of endless playbooks, focus on flexible frameworks for faster, more effective responses. Brandon Chalk,16-year Google SRE, shares insights onbalancing structure and speedwhen every second counts... read more  

Link
@faun shared a link, 4 months, 3 weeks ago
FAUN.dev()

GitHub Copilot DevOps Excellence: Prompt Files vs Instructions vs Chat Modes

GitHub Copilot just leveled up:prompt files,custom instructions, andcustom chat modesare live. Now it's not just tagging along—it’s shaping how you work. Automate code reviews, security scans, or implementation plans. Reuse setups across teams. Control it all from VS Code... read more  

Link
@faun shared a link, 4 months, 3 weeks ago
FAUN.dev()

Automating infrastructure deployments in the Cloud with Terraform and Azure Pipelines

This Azure lab wires upTerraformwithAzure Pipelines CI/CDto spin up infrastructure and deploy a .NET Core app using IaC. It handles remote state with Azure Storage, automatesplanandapplyin pipelines, and swaps in config values via token replacement during deploy... 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).