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@eon01 gave 🐾 to The unwritten laws of software engineering , 12 hours, 1 minute ago.
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Build and Deploy a Remote MCP Server to GKE in 30 Minutes

Google walks you through shipping a remoteMCP serveronGKE AutopilotusingFastMCPandstreamable-http, swapping localstdiofor shared HTTP endpoints. The clever bit: theGateway APIhandles managed SSL plusCLIENT_IP session affinity, so one centralized server beats everyone running redundant local copies... read more  

Build and Deploy a Remote MCP Server to GKE in 30 Minutes
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@varbear shared a link, 15 hours ago
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The unwritten laws of software engineering

- Always related - first rollback, then debug. - Backups aren’t real until restored. - You’ll hate yourself for bad logs. - ALWAYS have a rollback plan. - Every external dependency will fail. - If there's risk, use the “4 eyes” rule. - Nothing lasts like a temporary fix... read more  

The unwritten laws of software engineering
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How building an HTML-first site doubled our users overnight

Building HTML-first forms using Astro instead of React dramatically increased completion rates and sustainability, highlighting the effectiveness of lightweight, accessible web components for all users, regardless of browser or connectivity... read more  

How building an HTML-first site doubled our users overnight
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Everything a Senior Engineer Needs to Know About What's Inside an LLM

The shift from RNNs totransformerssolved sequential bottlenecks and long-range decay issues withself-attention. Transformers use encoding, decoding, and tokenization to process sequences efficiently and accurately. This evolution led to models like GPT, which excel at tasks with minimal fine-tuning .. read more  

Everything a Senior Engineer Needs to Know About What's Inside an LLM
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Google hits 50% IPv6

The 50% IPv6 milestone is real, but adoption differs by country. Analysts who report lower figures use population-weighted sampling, while their per-country adoption rates match the higher estimate... read more  

Google hits 50% IPv6
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Building in the Age of Collaborative Coding

The speed of innovation is crucial for teams, and AI tools have enabled faster work. A collaborative coding model where teams build, review, and ship alongside AI agents is key to staying ahead in workflows. Three shifts have reshaped how teams build, leading to the adoption of a new collaborative c.. read more  

Building in the Age of Collaborative Coding
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Tigera introduces unified control plane for Kubernetes-based AI agent security

Tigera launched Lynx for general availability, a Kubernetes-native control plane that operators place in the path of AI agent calls so teams can enforce identity and policy... read more  

Tigera introduces unified control plane for Kubernetes-based AI agent security
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).