api

Stream LLM responses to clients in real-time using Server-Sent Events with FastAPI, OpenAI streaming, and async generators for token-by-token output

Generate interactive API docs from OpenAPI specs using Swagger UI, Redoc, and native tools in Python, JavaScript, and Java.

Set up thorough request/response logging and audit trails for APIs with structured output, correlation IDs, and compliance considerations.

Protect APIs from abuse and ensure fair resource usage with token bucket, sliding window, and leaky bucket rate limiting.

Protect APIs from abuse using token bucket and sliding window algorithms with Redis, including burst handling, distributed coordination, and custom headers for client feedback

How to version REST and GraphQL APIs to maintain backward compatibility while evolving your interface.

How to make HTTP requests to a REST API and handle the JSON response in multiple languages.

Implement efficient cursor-based pagination for large datasets in PostgreSQL, avoiding OFFSET performance degradation with indexed keyset pagination and stable sort ordering

Build maintainable Express applications using middleware composition patterns for authentication, validation, error handling, request context propagation, and async route wrappers

Build production-ready REST APIs in Go using the Gin framework with custom middleware for logging, authentication, validation, and error handling

Build a production-ready GraphQL API with type-safe schemas, resolvers, and query optimization in Python, JavaScript, and Java.

How to build a production-ready GraphQL API using Apollo Server, TypeScript, and DataLoader to solve the N+1 query problem

How to implement a gRPC API using Protocol Buffers for high-performance service-to-service communication

Build high-performance, strongly-typed services using gRPC with Protocol Buffers, covering unary calls, server streaming, client streaming, and bidirectional streaming

How to configure Cross-Origin Resource Sharing (CORS) headers correctly for APIs, SPAs, and serverless functions without opening security holes.

Patterns for consistent, predictable API error handling across multiple languages and frameworks.

How to design and implement idempotent API endpoints that safely handle retries, duplicate requests, and network failures without side effects.

How to validate user input safely using schemas, type checking, and sanitization across Python, JavaScript, and Java.

Retry failed HTTP requests in JavaScript with exponential backoff

How to implement structured, level-based logging across Python, JavaScript, and Java with what works for production observability.

How to implement request/response middleware for logging, auth, and error handling across Python, JavaScript, and Java.

How to use Nginx as a reverse proxy for backend services, implement load balancing, SSL termination, and rate limiting for production API gateways

Build real-time WebSocket applications in Node.js with Socket.io

How to implement cursor-based and offset-based pagination in APIs and databases across Python, JavaScript, and SQL.

Implement token bucket rate limiting in Flask and FastAPI with Redis support

How to implement API rate limiting using token bucket, sliding window, and fixed window algorithms across Python, JavaScript, and Java.

Implement a real-time notification system using WebSockets and Redis pub/sub for broadcasting messages across clients.

Design reliable, scalable REST APIs with proper HTTP methods, status codes, versioning, and pagination strategies.

How to send transactional and bulk emails securely using SMTP with template support.

How to implement one-way real-time streaming from server to browser using Server-Sent Events, with reconnection, event types, and multi-client broadcasting.

How to build a production-ready Server-Sent Events endpoint in Go with connection management, heartbeat pings, and graceful client disconnect handling

Implement real-time server-to-client push using Server-Sent Events in Node.js with Express, covering connection management, event types, reconnection logic, and backpressure handling

How to create and consume webhook endpoints for real-time event-driven integrations.

How to authenticate WebSocket connections, implement token validation, and handle authorization for real-time messaging in production

How to build a real-time bidirectional chat application using WebSocket with room-based messaging, presence tracking, and message persistence

How to build a WebSocket server for bidirectional real-time communication, with connection management, message broadcasting, and heartbeat keepalive.

Apply Spring's @Cacheable, @CachePut, and @CacheEvict annotations with a Redis cache manager for declarative caching in Java applications.

Invalidate Redis cache entries in Node.js with TTL expiry, explicit deletion, pattern-based clearing, and pub/sub-based distributed invalidation.

Cache HTTP responses in Python using httpx with CacheControl for HTTP-compliant caching, ETag handling, and conditional requests.

Use Memcached as a distributed session store in Python web applications with pymemcache, TTL management, and failover handling.

Build non-blocking async pipelines in Java using CompletableFuture with thenCompose, thenCombine, allOf, anyOf, exception handling, timeouts, and custom thread pools.

Fetch multiple APIs concurrently using asyncio and aiohttp. Covers connection pooling, rate limiting, retries, and batch processing.

Execute multiple async operations concurrently in Python using asyncio.gather, asyncio.TaskGroup, error handling with return_exceptions, timeouts, and semaphores for rate limiting.

Control concurrency in async Python using asyncio.Semaphore for rate limiting API calls, database connections, and resource access with bounded parallelism patterns.

Parse HTML and extract data using BeautifulSoup. Covers CSS selectors, navigation, tables, pagination, and respectful scraping with rate limiting.

Define custom GraphQL scalars for Date, Email, URL, and JSON fields with serialization, parsing, and validation logic

Use DataLoader to coalesce individual load requests into batched database calls, solving the N+1 query problem in GraphQL resolvers

Implement field-level authorization in GraphQL using custom schema directives that check user roles and permissions per field

Implement structured error handling in GraphQL with custom error classes, extension codes, and consistent error formatting for clients

Compose multiple GraphQL services into a single federated supergraph using Apollo Federation and a gateway that routes queries across subgraphs

Implement centralized input validation in GraphQL using custom validation functions, Zod schemas, and input type transforms

Set up mocked GraphQL resolvers with Apollo Server so frontend teams can develop against a fake API before the backend is ready

Identify N+1 query problems in GraphQL resolvers using logging, DataLoader, and query analysis tools before they hit production

Implement Relay-style cursor pagination in GraphQL with edges, nodes, and pageInfo for efficient forward and backward traversal

Implement GraphQL subscriptions over WebSockets with Apollo Server and PubSub for real-time updates pushed to connected clients

Validate and sanitize incoming data using Zod schemas with TypeScript inference, custom refinements, and error formatting for reliable API and form validation

Set security HTTP headers in Express apps with Helmet — CSP, HSTS, X-Frame-Options, X-Content-Type-Options, and CORS for OWASP-compliant web security

Create HTTP-triggered Azure Functions in Python with binding configuration, async handlers, dependency injection, and deployment via Azure CLI.

Create and deploy HTTP-triggered Cloud Functions on Google Cloud with Node.js, Express integration, secrets management, and gcloud CLI deployment.

Implement custom Lambda authorizers for API Gateway with JWT validation, IAM policy generation, and caching for token-based authentication in serverless APIs.

How to create dedicated backends per client type. Covers BFF for web, mobile, and desktop. Covers API aggregation, client-specific optimization, and GraphQL BFF.

Route requests to multiple backend services through a single entry point that handles cross-cutting concerns.

Use the Adapter pattern to normalize responses from external REST APIs into a consistent internal model without leaking third-party formats into your domain

Create dedicated backend services tailored to the specific needs of each frontend client type, aggregating downstream APIs and optimizing data shapes per platform.

Pass requests along a chain of handlers where each handler decides whether to process the request or pass it to the next handler in the pipeline

Use the Decorator pattern to compose cross-cutting concerns like logging, metrics, and retries into HTTP request pipelines without modifying core logic

Resolve nested GraphQL fields in a single batched request to eliminate N+1 queries and reduce database load.

Coalesce individual load requests into batched calls with per-request caching to prevent N+1 queries and redundant fetches.

Attach structured metadata to GraphQL errors using extension codes for predictable client-side error handling.

Model polymorphic types with GraphQL interfaces to share field contracts across different object types while keeping resolvers type-specific.

Merge multiple independent GraphQL schemas into a single unified schema that clients can query as one graph.

How to implement token bucket rate limiting for API protection. Covers bucket refill, burst handling, per-key buckets, distributed rate limiting with Redis, and sliding windows.

A template for documenting API changes including breaking changes, new features, deprecations, and bug fixes.

A template for communicating API deprecations, breaking changes, and sunset timelines to consumers.

A guideline for standardizing error responses, status codes, and error payloads across REST and GraphQL APIs.

A template for defining API rate limits per consumer tier, including burst allowances, quota periods, and escalation paths.

A template for defining and documenting Service Level Agreements including uptime targets, response times, error budgets, and escalation procedures.

A reusable template for documenting REST and GraphQL APIs with endpoints, schemas, errors, and examples.

A reusable template for consistent, informative, and developer-friendly API error responses that reduce debugging time.

A template for a public API status page that communicates uptime, incidents, and maintenance windows to consumers.

Master the OpenAI API in production. Covers chat completions, streaming, function calling, structured outputs, embeddings, fine-tuning, batch API, assistants API, rate limits, error handling, and cost optimization patterns.

Version REST and GraphQL APIs with URI, header, query param, and content negotiation strategies. Covers deprecation, sunset, and migration patterns.

Build unified GraphQL APIs across multiple services with Apollo Federation. Covers subgraphs, supergraph composition, entity resolution, and gateway deployment.

Run federated GraphQL in production with confidence. Covers subgraph composition, gateway deployment, entity resolution, schema coordination, observability, and failure handling.

Design GraphQL schemas for evolution, performance, and maintainability. Covers type design, connections, mutations, error handling, deprecation, and schema-first vs code-first workflows.

Secure GraphQL APIs against introspection leaks, query depth attacks, cost-based DoS, batching abuse, and injection. Covers auth patterns, rate limiting, and production hardening.

Test GraphQL APIs at every layer: unit tests for resolvers, integration tests for schema, E2E tests for operations. Covers mocking, fixtures, snapshot testing, and performance testing.

A thorough guide to designing clean, scalable, and maintainable REST APIs.

A practical guide to designing API gateways: routing patterns, rate limiting, authentication, circuit breakers, and observability for resilient APIs.

Compare sync vs async communication patterns for microservices. Covers REST, gRPC, message queues, event-driven, service mesh, and when to use each.

A decision guide comparing GraphQL and REST APIs: use cases, performance, caching, tooling, and migration strategies for engineering teams.

A practical guide to gRPC for microservices: Protocol Buffers, streaming, load balancing, and migration from REST for high-performance RPC.

A practical guide to API rate limiting: token bucket, leaky bucket, sliding window algorithms, choosing limits, and implementing resilient throttling for APIs.

A thorough security checklist for APIs: authentication, authorization, input validation, rate limiting, encryption, logging, and deployment hardening.

Secure your APIs end-to-end. Covers rate limiting, authentication, input validation, CORS, SQL injection prevention, API gateway patterns, request size limits, pagination security, mass assignment, versioning, audit logging, and API security testing with practical code examples.

Implement authentication in production. Covers JWT, OAuth2, session-based auth, passkeys, MFA, refresh tokens, token rotation, RBAC, ABAC, SSO with SAML and OpenID Connect, and secure logout patterns with practical code examples.

Mitigate each OWASP Top 10 2025 risk with practical code examples. Covers broken access control, cryptographic failures, injection, insecure design, security misconfiguration, vulnerable components, auth failures, software integrity, logging failures, and SSRF.

A developer-focused guide to the OWASP Top 10: injection, broken access control, XSS, insecure design, and how to prevent each vulnerability with code examples.

A practical guide to securing webhooks: signature verification, replay attack prevention, payload encryption, and endpoint hardening for reliable delivery.