Astro Middleware and API Endpoints in Practice
Combine Astro middleware with server endpoints to build request pipelines: auth gates, rate limiting, CORS handling, and JSON APIs that share context through Astro.locals.
51 posts · page 1 of 2
Combine Astro middleware with server endpoints to build request pipelines: auth gates, rate limiting, CORS handling, and JSON APIs that share context through Astro.locals.
Learn how to manage database schema changes with migration tools like Alembic, Flyway, and Knex. Covers rollback strategies, zero-downtime migrations, and team workflows.
Compare RabbitMQ, Apache Kafka, and Amazon SQS with working code examples, architecture diagrams, and decision criteria for choosing the right message queue.
Compare monolithic and microservices architectures with real decision criteria, migration patterns, and code examples to help you choose the right approach for your project.
Build robust Next.js API routes with proper validation, error handling, authentication, rate limiting, and testing patterns for production apps.
Understand the major caching strategies for backend systems. Compare write-through, write-back, write-around, and cache-aside with real-world trade-offs.
Compare FastAPI, Django, and Flask for Python web development. Understand performance, features, and ecosystem differences to choose the right framework.
Compare Redis and Memcached for caching. Understand data structures, persistence, clustering, and use cases to choose the right caching solution.
Compare API versioning approaches: URL path, custom headers, query parameters, and content negotiation. Includes migration strategies and real-world tradeoffs.
Understand the three core caching patterns with practical examples. Covers consistency tradeoffs, invalidation strategies, cache stampede prevention, and when to use each pattern.
Understand why database connection pooling matters and how to configure it. Covers pool sizing, PgBouncer, application-level pools, and common misconfigurations.
Learn database migration patterns that avoid downtime. Covers expand-contract, backfill strategies, backward-compatible schema changes, and rollback techniques.
Implement distributed locks with Redis. Covers single-instance locks, the Redlock algorithm, fencing tokens, lock renewal, and common pitfalls to avoid.
Design health check endpoints that actually help. Covers liveness vs readiness, dependency checks, degraded states, and Kubernetes probe configuration.
Implement graceful shutdown in backend services. Covers signal handling, draining connections, health check coordination, and timeout strategies.
Replace unstructured log lines with structured JSON logging. Covers log levels, correlation IDs, context propagation, and integration with observability tools.
Implement rate limiting with token bucket, sliding window, and fixed window algorithms. Covers Redis-backed solutions, response headers, and distributed setups.
Build a reliable webhook delivery system. Covers retry strategies, idempotency keys, signature verification, dead letter queues, and delivery guarantees.
Integrate Celery with Django for background task processing — setup, writing tasks, retries, periodic tasks, and monitoring with Flower.
Build custom managers and chainable QuerySets in Django to encapsulate query logic, keep views thin, and write expressive ORM code.
Build custom Django middleware — request/response processing, exception handling, middleware ordering, and real-world examples.
Implement multi-tenancy in Django using shared database schemas — tenant models, middleware, filtered QuerySets, and data isolation.
Build REST APIs with Django REST Framework ViewSets and Routers — ModelViewSet, custom actions, filtering, and URL generation.
Harden your Django app for production — security settings, CSRF, XSS, SQL injection, HTTPS, headers, secrets, and deployment checks.
Master Django signals — connect to post_save and pre_delete, write custom signals, avoid common pitfalls, and know when to use them.
Implement rate limiting for Next.js API routes and route handlers using in-memory stores, Redis, and middleware patterns to protect your endpoints.
CQRS and event sourcing are often mentioned together but solve different problems. This post separates them, shows how they combine, and when each is worth the complexity.
Use circuit breakers to stop cascading failures, with state transitions, timeouts, and tuning advice for production microservices.
A practical guide to evolving production databases safely: expand and contract, online schema changes, dual writes, backfills, and the trade-offs behind each strategy.
Compare range, hash, and directory-based sharding strategies, with guidance on choosing shard keys and operating sharded systems.
Learn how idempotency keys make APIs safe to retry, with patterns for storage, expiry, conflict handling, and common pitfalls.
Compare popular message brokers across delivery guarantees, ordering, throughput, and operations to pick the right tool for the job.
Compare monoliths and microservices across team size, deploy cadence, complexity, and operational overhead to choose the right architecture.
How the saga pattern coordinates long running business transactions across services using local commits and compensating actions instead of distributed two phase commit.
Compare soft and hard deletes across recovery, compliance, indexing, and query complexity to pick the right deletion strategy.
How Django QuerySets lazily build SQL, how to avoid N+1 queries with select_related and prefetch_related, and patterns to keep the ORM fast under real load.
How FastAPI's Depends system actually works, the lifecycle of dependencies, scoping with yield, and patterns for testable, layered FastAPI apps.
A practical tour of Postgres indexing: btree, hash, GIN, BRIN, partial and expression indexes, plus how to choose, measure, and maintain them in production.
Compare resolver patterns in GraphQL: thin resolvers, service layers, DataLoader batching, and error handling that scales.
Apply REST design best practices for resources, naming, status codes, pagination, and versioning to build clean, durable APIs.
Compare offset, cursor, and keyset pagination for REST APIs. Pick the right pattern for your data, scale, and client experience.
Compare URL, header, and content-type versioning for REST APIs. Learn when to bump versions and how to retire old ones without breaking clients.
A senior-engineer guide to designing rate limiters: algorithms, distributed coordination, trade-offs, and production patterns that actually scale.
A working introduction to gRPC: protobuf schemas, code generation, the four RPC styles, deadlines, errors, and when to pick it over REST.
How idempotency keys work, where to use them, and how to implement them correctly so clients can safely retry POST requests without creating duplicates.
A practical introduction to MongoDB for developers familiar with relational databases: documents, collections, queries, indexes, and when to pick it over SQL.
A clear-eyed guide to JWTs: structure, signing, verification, refresh flows, and the real-world failure modes nobody warns you about.
OAuth2 demystified for working developers: the four flows, access and refresh tokens, PKCE, scopes, and where security actually breaks in practice.