API Gateways

Cloud Native Architecture Patterns You Should Adopt Cloud native architecture patterns help teams build apps that scale, fail gracefully, and run in modern environments. They emphasize small, independent services, clear interfaces, and automated operations. This post highlights practical patterns you can adopt today to improve resilience and speed. Microservices with clear boundaries Divide the system into small, focused services. Each service owns its data and has its own lifecycle, so updates are safer. Use bounded contexts to avoid tight coupling and keep APIs stable and versioned. Start with a few core domains and grow as needed. ...

Microservices and API Gateways Microservices are small, independently deployable services that focus on a single business capability. Each service owns its data and can evolve without touching others. This approach helps teams move fast, scale parts of the system, and improve fault isolation. It also brings complexity in how services talk to each other, how they are tested, and how they are observed. An API gateway sits at the edge of the system. It is the single entry point for all client requests. The gateway can route requests to the right microservice, enforce authentication and authorization, translate protocols, and apply cross-cutting policies like rate limiting and caching. Using a gateway reduces client coupling and centralizes security and observability. ...

API Gateways and Service Mesh Explained API gateways and service meshes are both important in modern software design, but they handle different parts of a system. A clear view helps teams choose the right tool for the job and avoid overcomplicating the stack. An API gateway sits at the edge of your system. It accepts client requests, handles TLS, routes traffic to the right service, and can enforce authentication, rate limits, or simple caching. It acts as a single, stable entry point for external users. ...

Middleware Architecture for Scalable Systems Middleware sits between applications and the core services they rely on. It coordinates requests, handles transformation, and applies common rules. A well-designed middleware layer helps systems scale by decoupling components, buffering bursts, and making behavior visible. Start with a clear goal: reduce latency where it matters, tolerate failures, and simplify deployments. Decide which responsibilities belong in middleware, and which belong to service logic. The right balance gives you flexibility without creating needless complexity. ...

API Gateways and Service Meshes Modern cloud apps rely on two networking patterns that work well together: API gateways at the edge and service meshes inside clusters. They solve different problems, but together they improve security, reliability, and observability for both public and internal traffic. An API gateway sits at the boundary, facing clients. It handles north–south traffic: authenticating requests, applying rate limits, routing to the right service version, and terminating TLS. It can also cache responses, transform requests, and expose a clean API surface for partners. Popular options include NGINX, Kong, Traefik, and managed services like AWS API Gateway. ...

APIs and Middleware: Building Connected Applications APIs connect apps and teams. They expose data and services over standard protocols. Middleware sits between clients and services, handling tasks that would clutter the core business logic: security checks, data shaping, retry policies, and routing decisions. Together they enable connected applications that scale and adapt. In modern systems you may use REST or GraphQL for APIs. Middleware can live in an API gateway, a service mesh, or as a separate layer. It helps separate concerns: the API surface stays focused on business needs, while middleware handles cross-cutting work such as authentication, rate limiting, and data transformation. ...

Middleware Patterns for Microservices Middleware patterns help microservices communicate reliably, safely, and at scale. They sit between services, enabling routing, transformation, security, and resilience without changing business logic. The right mix of patterns reduces latency, avoids tight coupling, and makes systems easier to evolve. Choosing patterns isn’t a solo move. It involves tradeoffs in latency, consistency, and failure modes. Start with the core needs: who talks to whom, how failures should behave, and how data stays consistent across services. ...

APIs and Middleware: Connecting Modern Systems APIs and middleware are the bridges that connect modern software. An API defines how systems talk to each other, while middleware sits between applications to route, transform, secure, and observe those conversations. Together they enable services to share data and run workflows across teams and clouds. Common tools use HTTP with JSON, but gRPC and message streams are also popular. Think of API gateway as the front door: it handles authentication, rate limits, and routing. A service mesh manages internal calls between microservices with security and tracing. Message brokers and event buses support asynchronous work, decoupling producers from consumers. This mix lets teams scale, upgrade, and recover without touching every system at once. ...

APIs and Middleware: Connecting Systems at Scale Building modern software often means connecting many systems. APIs let services talk to each other, while middleware acts as the glue that handles data, security, and reliability as calls move across boundaries. When teams grow and traffic rises, a thoughtful API and middleware strategy keeps systems responsive and easy to change. This post explains core ideas and practical patterns you can use today. ...

API Gateways and Service Meshes In modern apps, API gateways and service meshes help manage traffic, security, and visibility. An API gateway sits at the edge, handling requests from clients and external systems. A service mesh runs inside the cluster, routing service-to-service calls with lightweight proxies. Together, they provide a robust, secure, and observable network for microservices. What they do API gateways route external requests to the right service, enforce authentication, apply rate limits, and sometimes translate protocols. They can also cache responses and shield internal services from direct exposure. Service meshes manage internal traffic between services. They enable mTLS for mutual authentication, retries, timeouts, and fine-grained traffic routing. They collect metrics, traces, and logs for better observability. How they differ Gateways operate on the north-south edge of the system, focusing on client access and external policy. Service meshes focus on east-west communication inside the cluster, providing security and reliability for internal calls. ...