#REST

Articles about REST — exploring patterns, best practices, and real-world implementations in production systems.

5 posts tagged with rest. ← All posts

#A/B Testing (3)#A2A (14)#ADK (8)#AG-UI (6)#AI (9)#AI Agents (311)#AI Architecture (22)#AI Cost (10)#AI Cost Optimization (8)#AI Engineering (254)#AI Evaluation (9)#AI Gateway (8)#AI Governance (39)#AI Red Teaming (9)#AI Research (9)#AI Safety (10)#AI Security (29)#AI in Production (12)#AML (3)#API Design (10)#API Security (8)#APIs (57)#AWS (17)#Accountability (8)#Accounting (9)#Agent Skills (3)#Agentic AI (25)#Agentic Commerce (12)#Agentic RAG (8)#Agents (4)#Amazon Bedrock (8)#Analytics (3)#Architecture (40)#Attention (3)#Audit (4)#Authentication (11)#Authorization (3)#Automation (9)#Azure (11)#Azure AI Foundry (9)#Backend Engineering (310)#Benchmarks (3)#Best Practices (3)#BigQuery (6)#Business Finance (8)#Business Strategy (55)#C (8)#CI/CD (16)#Caching (11)#Capital Markets (14)#Card Payments (12)#Cards (13)#Career (25)#Causal Inference (8)#Checkpointing (4)#Claude Code (8)#Cloud (5)#Cloud Architecture (3)#Cloud Native (10)#Code Review (8)#Collaboration (5)#Communication (9)#Compliance (54)#Computer Networking (9)#Computer Science (32)#Computer Vision (13)#Concurrency (40)#Consulting (3)#Containers (10)#Context Engineering (10)#Conversational AI (8)#Cost Optimisation (5)#Cost Optimization (3)#Credit (14)#Credit Risk (14)#CrewAI (8)#Crypto (12)#Cryptocurrency (12)#Cryptography (9)#Custody (9)#DSPy (8)#Data (14)#Data Engineering (15)#Data Science (8)#Data Structures (10)#Databases (40)#Deep Learning (20)#Deployment (5)#Design Patterns (10)#DevOps (24)#DevSecOps (22)#Developer Experience (5)#Developer Tools (5)#Differential Privacy (3)#Distributed Systems (98)#Documentation (3)#Edge AI (8)#Embeddings (21)#Emotional Intelligence (8)#Energy (8)#Engineering (13)#Engineering Culture (3)#Engineering Judgment (5)#Engineering Practices (16)#Error Handling (4)#Evaluation (67)#Event-Driven Architecture (8)#Explainable AI (8)#FREE-AI (8)#FX (5)#Feature Engineering (3)#Feedback (4)#FinOps (23)#FinTech (6)#Financial AI (14)#Financial Engineering (8)#Financial Systems (129)#Fine-Tuning (12)#Fintech (131)#Flutter (8)#Forecasting (9)#Foreign Exchange (5)#Forward Deployed Engineer (20)#Forward Deployed Engineering (8)#Fraud (10)#Function Tools (5)#Functional Programming (3)#Fundamentals (18)#Fundraising (8)#GCP (5)#GPU (8)#Gemma (4)#Generative AI (3)#Git (8)#Go (220)#Go-to-Market (11)#Google ADK (36)#Governance (61)#Granite (6)#Graph Neural Networks (8)#GraphQL (3)#Growth (3)#Guardrails (34)#HIPAA (3)#HTTP (3)#Harness Engineering (8)#Hiring (8)#Hugging Face (8)#Human-in-the-Loop (9)#IBM watsonx (8)#Identity (11)#Inference (8)#Information Retrieval (8)#Integration (3)#Intellectual Property (8)#Interfaces (3)#Interpretability (8)#JavaScript (8)#KYC (11)#KYC and AML (12)#Kafka (10)#Knowledge Graphs (10)#Kubernetes (17)#LLM (5)#LLM Inference (8)#LLM Infrastructure (8)#LLM-as-Judge (3)#LLMOps (8)#LLMs (190)#LangChain (8)#LangGraph (11)#Leadership (28)#Ledger (12)#Legal (8)#Lending (14)#Linux (9)#LlamaIndex (8)#Load Balancing (3)#MCP (22)#MLOps (35)#Machine Learning (108)#Marketing (16)#Markets (4)#Mathematical Finance (8)#Memory (15)#Memory Management (5)#Metrics (7)#Microservices (3)#Microsoft Agent Framework (150)#Middleware (6)#Migration (9)#Mixture of Experts (5)#Monitoring (4)#Multi-Agent (10)#Multi-Agent AI (14)#Multi-Agent Systems (73)#Multimodal (3)#Multimodal AI (10)#NIM (5)#NVIDIA (8)#Networking (3)#OAuth (3)#OWASP (7)#Observability (50)#On-Device AI (8)#Ontology (8)#Open Source (7)#OpenTelemetry (5)#Operating Systems (9)#Operations (11)#Opinion (6)#Orchestration (10)#Organizational Design (8)#Payment Rails (16)#Payments (54)#People (8)#Performance (56)#Personalization (9)#Platform Engineering (9)#Policy as Code (3)#PreSales (8)#Privacy (13)#Privacy Engineering (3)#Process (4)#Product (30)#Product Management (8)#Production (21)#Programming (10)#Programming Languages (48)#Prompt Engineering (78)#Prompt Injection (14)#Protocol Buffers (3)#Protocols (9)#Providers (4)#Pydantic AI (8)#Python (142)#Quality (3)#Quantitative Finance (8)#RAG (69)#RBI (3)#REST (5)#Rails (16)#Reasoning Models (8)#Recommender Systems (8)#Reconciliation (3)#RegTech (8)#Regulation (10)#Reinforcement Learning (9)#Reliability (53)#Resilience (4)#Responsible AI (5)#Retrieval (3)#Risk (14)#Risk Management (10)#Rust (32)#SLSA (3)#SRE (23)#Sales (9)#Scalability (5)#Search (10)#Security (101)#Security Engineering (8)#Self-Evolving Agents (16)#Semantic Web (8)#Sessions (3)#Settlement (9)#Soft Skills (8)#Software (3)#Software Architecture (36)#Software Delivery (9)#Software Engineering (144)#Spanner (4)#Speech (8)#Startups (30)#Statistics (8)#Strands (8)#Strategy (6)#Streaming (32)#Structured Output (4)#Supply Chain Security (9)#Sustainability (8)#System Design (32)#Systems Programming (56)#Testing (59)#Threat Modeling (3)#Time Series (8)#Tool Use (22)#Tooling (5)#Tools (3)#Trading (8)#Treasury (6)#Type System (3)#Type Systems (11)#TypeScript (8)#Vector Databases (22)#Vector Search (11)#Venture Capital (8)#Version Control (9)#Voice AI (9)#Web Development (6)#Workflow (3)#Workflows (14)#eBPF (8)#gRPC (13)#smolagents (8)
Pratik Dhanave · ·15 min read

Versioning and Evolution: Changing an API Without Breaking Its Consumers

The real skill isn't cutting a v2 — it's knowing which changes are safe to ship silently, which ones break clients you'll never meet, and how to retire an old version responsibly instead of forever.

Changing an API without breaking consumers: what counts as breaking, versioning strategies and their trade-offs (URI vs header vs additive evolution), the robustness principle and its limits, and responsible deprecation with Sunset headers and usage telemetry.

#API Design#Versioning#REST#Compatibility#Observability#APIs
Pratik Dhanave · ·16 min read

Errors and Idempotency: The Two Things That Make an API Safe to Build On

Why a consistent, machine-readable error model (RFC 9457 problem+json) and idempotency keys are the difference between an API clients can trust and one that quietly double-charges them.

The two things that make an API safe to build on: a consistent machine-readable error model (RFC 9457 problem+json, stable error codes, no leaked internals) and idempotency (the Idempotency-Key pattern so retries don't double-charge).

#API Design#REST#Reliability#HTTP#APIs
Pratik Dhanave · ·14 min read

Requests, Responses, and Pagination

Shaping the payloads clients actually consume — consistent bodies, content negotiation, field selection, and pagination that survives scale and mutation.

Shaping the payloads clients consume: consistent naming, dates and money done right, content negotiation, field selection, and pagination — why offset pagination breaks at scale and how cursor/keyset pagination fixes it.

#API Design#REST#Pagination#HTTP#APIs
Pratik Dhanave · ·14 min read

RESTful Resource Design: Nouns, Methods, and the Maturity Model

How to model resources as nouns, choose HTTP methods by their spec-defined semantics, return the right status codes, and decide honestly how much hypermedia your API actually needs.

Designing REST resources the right way: modeling resources as nouns, URI design, HTTP method semantics (safe vs idempotent, PUT vs PATCH), using status codes correctly, and a realistic take on the Richardson Maturity Model and HATEOAS.

#API Design#REST#HTTP#Architecture#APIs
Pratik Dhanave · ·13 min read

API Design Principles

The opening post of a series on designing APIs people actually enjoy using — why an API is a contract and a product, the qualities that separate a good one from a bad one, and why the contract should exist before a single line of implementation.

The opener to an API design series: an API is a contract and a product whose users are developers — the qualities that matter (consistency, evolvability, hard-to-misuse), API-first vs code-first, the interface/implementation boundary, and the paradigms you'll weigh.

#API Design#REST#Architecture#Developer Experience#APIs

All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.