When a data pipeline can't keep up with incoming requests, the system doesn't just crash — it pushes back. In episode 99 of The API Podcast, Lucas and Luna explore backpressure as a control mechanism for API traffic surges. They break down how Stripe's API uses HTTP 429 with Retry-After headers to signal clients to slow down, and contrast that with internal backpressure patterns like the leaky bucket and token bucket algorithms. They also discuss how Kafka implements backpressure at the consumer level to prevent memory overload, and why database connection pooling is a form of backpressure. Listeners will learn the difference between client-side and server-side backpressure, and why dropping requests strategically can keep a system alive. No prior episodes have covered this specific angle, making it a fresh addition to the series on API resilience and traffic management.

#Backpressure #APIDesign #TrafficManagement #StripeAPI #Kafka #RateLimiting #LeakyBucket #TokenBucket #RetryAfterHeader #HTTP429 #ClientSideBackpressure #ServerSideBackpressure #ConnectionPooling #SystemResilience #APIResilience #WebAPIs #Technology #FexingoBusiness

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Lucas and Luna dive into the bulkhead pattern for API resilience, drawing on a real-world comparison to ship design and a case study from a major streaming service's 2024 outage. They explain how partitioning resources—like connection pools and thread pools—prevents a single failing endpoint from taking down the whole system. Listeners learn the concrete trade-off between isolation and resource waste, plus a surprising lesson from a payment API that over-isolated itself into latency problems. No generic resilience talk; just one pattern, explained through specific numbers and a memorable maritime metaphor.

#APIResilience #BulkheadPattern #Microservices #FaultIsolation #SystemDesign #BackendEngineering #DistributedSystems #TechPodcast #RESTAPI #GraphQL #ResilienceEngineering #FailureMode #ConnectionPooling #ThreadPool #ServiceMesh #FexingoBusiness #BusinessPodcast #Technology

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In this episode of The API Podcast, Lucas and Luna dive into webhooks — the unsung backbone of event-driven API design. They unpack how webhooks differ from polling, why companies like Stripe and GitHub rely on them for real-time notifications, and the hidden complexity of delivery guarantees, retries, and security. Along the way, they explore a real-world case study: how a fintech startup replaced five polling services with a single webhook endpoint, cutting latency by 80 percent. Lucas explains the difference between idempotent and at-least-once delivery, while Luna challenges whether webhooks really simplify architecture or just shift the burden to the consumer. The episode also touches on webhook signing secrets, payload verification, and when to choose webhooks over WebSockets or server-sent events. Perfect for engineers building modern, event-driven systems.

#Webhooks #EventDrivenArchitecture #RESTfulAPIs #RealTimeData #WebhookSecurity #IdempotentDelivery #Stripe #GitHub #Fintech #APIDesign #Subscription #PayloadVerification #ServerSentEvents #WebSocket #Polling #Technology #FexingoBusiness #BusinessPodcast

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In this episode of The API Podcast with Fexingo, Lucas and Luna dive into conditional HTTP requests and how they reduce bandwidth and latency by letting clients cache intelligently. They use the example of GitHub's API, which handles over a billion requests per day, to explain how the ETag and Last-Modified headers work in practice. The hosts walk through a real scenario: how a CI/CD tool polling for new commits can cut 90% of its network calls using conditional GETs. They also discuss the trade-offs — like clock skew with Last-Modified and the precision of ETags — and how APIs like Stripe and Twilio apply these patterns. Along the way, they touch on the value of keeping the show ad-free and listener-supported. By the end, you'll understand why conditional requests are one of the simplest, highest-leverage performance optimizations in API design.

#ConditionalRequests #HTTPCaching #ETag #LastModified #GitHubAPI #StripeAPI #TwilioAPI #APIDesign #RESTAPI #WebAPIs #LatencyOptimization #BandwidthReduction #HTTPHeaders #ClientSideCaching #Technology #Podcast #FexingoBusiness #BusinessPodcast

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Episode 95 of The API Podcast dives into one of the most underrated design patterns in modern web APIs: idempotency keys. Lucas and Luna unpack why safely retrying a payment or order submission without double-charging a user is harder than it looks, and how a simple header like Idempotency-Key solves it. They walk through a concrete example from Stripe's API, discuss the difference between idempotent and safe HTTP methods, and explore how idempotency keys interact with at-least-once delivery guarantees. The episode also touches on the trade-offs of idempotency expiration, the role of idempotency in distributed systems, and why every API handling writes should consider this pattern. If you build or consume APIs, understanding idempotency keys will save you from subtle, costly bugs.

#IdempotencyKeys #API #REST #Stripe #RetryPattern #HTTP #WebAPIs #DistributedSystems #AtLeastOnce #ErrorHandling #PaymentAPIs #POSTrequests #PUTandDELETE #IdempotencyExpiration #DesignPattern #Technology #APIpodcast #FexingoBusiness

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In this episode of The API Podcast with Fexingo, Lucas and Luna explore how REST APIs communicate rate limits to clients using standard headers like X-RateLimit-Remaining and Retry-After. They break down the difference between rate limiting and throttling, and walk through a real-world example from the GitHub API, where a developer hitting the 60-request-per-hour limit on unauthenticated endpoints gets a clear 403 response with actionable headers. Lucas explains why headers like X-RateLimit-Reset are more useful than raw timestamps, and Luna asks the critical question: what happens if a client ignores the headers? The discussion covers caching strategies, exponential backoff, and how well-designed headers reduce load on both server and client—no clickbait, just solid API design principles for developers building integrations today.

#RESTAPI #RateLimiting #APIDesign #GitHubAPI #HTTPHeaders #RetryAfter #XRateLimit #Throttling #Backend #DeveloperTools #WebAPIs #ClientServer #ExponentialBackoff #APIHeaders #Technology #FexingoBusiness #TheAPIPodcast #BusinessPodcast

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In this episode, Lucas and Luna dive into offset pagination, the most common but also most misunderstood API pagination strategy. They explain how SQL-based OFFSET and LIMIT work, why large offsets cause performance degradation, and the real-world risk of phantom rows and data inconsistency. Using the example of a hypothetical shopping app, they illustrate when offset pagination is fine and when it breaks. They contrast it with cursor-based pagination, discuss database indexing, and offer practical guidance on choosing the right pagination strategy. A must-listen for any developer building data-heavy APIs.

#API #Pagination #OffsetPagination #CursorPagination #WebAPIs #REST #Backend #Database #SQL #Performance #DataConsistency #Technology #FexingoBusiness #BusinessPodcast #APIpodcast #LucasAndLuna #DeveloperTips #APIDesign

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In this episode of The API Podcast, Lucas and Luna dive into cursor-based pagination versus traditional offset and limit methods for handling large datasets. They use the example of Twitter's timeline API to explain why cursor tokens prevent the 'page drift' problem where new records shift the offset, causing duplicates or missed items. They also touch on how cursor-based pagination improves performance for distributed databases by skipping the database's offset count. By the end, you'll understand when to choose cursor tokens over offset pagination and why many modern APIs like Stripe and Slack have adopted this approach. If you've ever built an infinite scroll feature or wondered why your API returns duplicate items on page 2, this episode is for you.

#CursorPagination #APIDesign #CursorTokens #Pagination #OffsetLimit #InfiniteScroll #TwitterAPI #StripeAPI #SlackAPI #DatabasePerformance #WebAPIs #RESTAPI #GraphQL #DistributedSystems #TechPodcast #SoftwareEngineering #FexingoBusiness #BusinessPodcast

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Lucas and Luna explore what happens when API dependencies vanish — using the 2025 PagerDuty incident that took down thousands of integrations. They discuss graceful degradation, fallback APIs, and why every critical endpoint should have a plan B. With concrete examples from Stripe and Twilio, they show how to build APIs that survive upstream failures.

#API #APIDesign #GracefulDegradation #FallbackAPI #PagerDuty #Stripe #Twilio #Resilience #SoftwareEngineering #WebAPIs #Technology #FexingoBusiness #BusinessPodcast #BackupPlan #FailureMode #Dependency #UpstreamFailure #Caching

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Episode 90 explores GraphQL Federation, an architectural pattern that lets multiple domain teams each own their own GraphQL service while a gateway stitches them into a single unified schema. Lucas and Luna walk through a concrete example: a fictional e-commerce company whose product, inventory, and review APIs each run independently but appear to clients as one endpoint. They explain how the federated gateway resolves fields across services, how type extensions stitch entities together, and the trade-offs compared to REST-based BFF (Backend for Frontend) patterns. Real-world references include how Netflix and Apollo popularized the approach. The episode also touches on schema composition tooling, managed federation in Apollo GraphOS, and when federation makes sense versus a monolithic GraphQL server. By the end, listeners understand why federation is becoming the default for GraphQL at scale.

#GraphQL #Federation #ApolloGraphQL #API #WebAPIs #DistributedSystems #Microservices #GraphOS #SchemaStitching #TypeExtension #BFF #Technology #SoftwareEngineering #NetflixArchitecture #APIgateway #FexingoBusiness #BusinessPodcast #TheAPIPodcast

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