Porino

Patterns Library

Infrastructure patterns for data and AI systems. Agentic systems first — because that's where the infrastructure gaps are hurting teams right now.

73 articles across 8 categories
Agentic Systems 35 articles 14 published
Foundations
Why the Data Layer Is the Prerequisite for AI Agents Prompt Engineering vs Context Engineering The LLM as CPU, Context Window as RAM Why Agents Are Harder Than Chatbots Context Engineering Is the New Product Skill Orchestrator Patterns: Hub-and-Spoke, Hierarchical, Pipeline Coming Stateful vs Stateless Orchestrators — What Actually Matters Coming
Architecture Patterns
Fan-Out / Fan-In: Parallelizing Agent Work Coming Designing Idempotent Agent Tasks Coming Context Propagation Without Blowing Token Budgets Coming Circuit Breakers for Unreliable Sub-Agents Agent Pooling: Load Balancing Across Agent Instances Coming Context Isolation: Spawning Agents With Fresh State Coming
Performance & Cost
Model Routing: Cheap Models for Routing, Expensive for Reasoning Coming Why Your LangGraph Workflow Is Slow (And How to Fix It) Coming Token Efficiency Across Agent Chains Coming Parallelism vs Sequential — Knowing the Difference Coming
Evaluation & Reliability
How the Orchestrator Knows the Sub-Agent Did It Right Coming When More Agents Makes Things Worse Hallucination in Multi-Agent Systems (It's Not Just the Model) Partial Failure Handling and Retry Strategies Observability: Trace IDs Across Agent Chains
Governance & Security
What Data Can Your Agent Actually See? Audit Trails for Autonomous Systems Access Control Patterns for Agent Networks Coming
Case Studies
AI Agent for Media Planning and Measurement SDR Personalization at Scale Coming Contract Review Across 500 Agreements Coming L1 Ticket Triage Without Hiring Coming Candidate Sourcing Pipeline Coming Monthly Close Automation Coming Inventory and Pricing Decisions at Scale Coming
Stack & Tooling
Claude SDK vs LangGraph vs CrewAI — Honest Tradeoffs When Tool Use Is Enough (You Don't Need Agents) Coming Multi-Model Orchestration: Cheap Router, Expensive Executor Coming
Stream Processing 2 articles
Patterns
The Log Is the Database Coming When Storm Wasn't Enough Coming
Storage & Table Formats 3 articles 3 published
Patterns
Why Parquet Wasn't Enough Database Disassembly — The Trend Reshaping Data Infrastructure The Medallion Architecture Explained
Orchestration 2 articles
Patterns
From Cron Jobs to DAGs Coming Task-Centric vs Asset-Centric Orchestration Coming
ML Infrastructure 6 articles 4 published
Patterns
MMM and Budget Optimization: A Reference Architecture The Feature Store Problem Coming Training-Serving Skew: The Silent Killer Coming
Marketing Measurement
The Marketing Data Stack — Silver Step 1 and Why Everyone Skips It Clean Room Architecture — When You Need It and How to Build It Identity Resolution at Scale — The Three-Layer Stack
Real-Time & OLAP 2 articles 1 published
Patterns
Sub-Second at Scale Coming User-Facing Analytics vs Internal BI
Observability & Quality 2 articles
Patterns
Data Observability as a Category Coming The Five Pillars of Data Health Coming
Platform Deep Dives 21 articles 5 published
AWS Data Stack
Kinesis vs Kafka on AWS Coming Redshift vs S3 + Athena vs EMR Coming Glue vs Custom ETL Coming When to Use Which AWS Data Service Coming
GCP Data Stack
BigQuery Architecture and Cost Traps Coming Pub/Sub vs Kafka on GCP Coming Dataflow vs Spark on Dataproc Coming When GCP Wins vs AWS for Data Coming
Azure Data Stack
Synapse vs Databricks on Azure Coming Event Hubs vs Kafka Coming Azure Data Factory Patterns Coming When Azure Is the Right Call Coming
Snowflake
Where Snowflake Wins and Where It Doesn't Snowflake vs BigQuery Honest Comparison Cost Modeling at Different Scales Coming Snowflake + dbt + Cortex AI: The Marketing Measurement Stack Privacy-Safe Clean Room Measurement Architecture
Databricks
When Databricks Beats Snowflake Coming Delta Lake vs Iceberg on Databricks Unity Catalog and the Governance Layer Coming Databricks for ML vs for Data Engineering Coming