Api-Gateway

API Gateways and Microservices Security API gateways sit at the edge of a microservices stack. They act like a front door, deciding who can enter and how requests travel to backend services. When security is built into the gateway, teams can protect data, control traffic, and reduce risk across many services. This post shares practical ideas to strengthen API gateways and safeguard microservices without slowing delivery. The goal is simple: clear policies, verified identities, and trusted communication. ...

Serverless Architectures: When to Use Them Serverless architectures shift operational work to the cloud provider. You write small functions, deploy, and let the platform run, scale, and patch. This can save time and reduce operations, but it also changes how you design and test software. The approach fits well with modern, event-driven ideas and services. Benefits include automatic scaling, no server maintenance, pay-as-you-go pricing, and faster development cycles. You focus on code and data flows, not on patching machines or managing capacity. The match is strong for apps with irregular loads or rapid growth, provided you design for resilience and clear ownership. ...

Serverless Architecture for Modern Apps Serverless architecture lets teams build apps that respond to events and scale automatically. Instead of provisioning and maintaining servers, developers deploy small, stateless functions that run on demand. This model can reduce operational work and speed up delivery, especially when workloads vary. Core components Functions-as-a-Service (FaaS) API gateway or managed service in front of functions Event buses and queues (pub/sub) Managed databases, storage, and caching Identity, authentication, and access controls A simple pattern One common pattern starts with a frontend calling an API endpoint. A function validates input, writes to a database, and publishes events. Separate functions handle onboarding emails, analytics, and background tasks. The platform scales these parts automatically and handles retries, so developers can focus on business logic. ...

Serverless Architectures: Patterns and Pitfalls Serverless architectures offer quick scaling and pay-for-use pricing. They also raise questions about design, testing, and operations. This article explains practical patterns and common missteps in plain language. Patterns to consider Event-driven design: functions run in response to events from queues, storage, or streams. This decouples parts of the system and makes it easier to scale. API gateway driven services: a thin surface layer routes calls to functions or microservices. Build idempotent endpoints and trace requests end-to-end. ...

APIs and Middleware: Building Bridges Between Systems APIs are the doors that let apps talk to each other. Middleware is the quiet bridge that sits in the middle, translating formats, handling retries, and enforcing rules. Together, they help teams connect services, avoid duplication, and move data safely across boundaries. Two ideas to keep in mind: API design focuses on contracts and stability; middleware focuses on compatibility and flow. When you design an API, you write the expectations. When you implement middleware, you ensure messages can travel from one side to the other without breaking. ...

API gateways and service meshes in modern apps In modern applications, you often see both API gateways and service meshes working side by side. An API gateway sits at the edge, facing the internet, and handles north-south traffic. A service mesh runs inside the cluster, guiding east-west traffic between services with built-in security, retries, and observability. They solve different problems, but when used together they improve security, reliability, and visibility. ...

APIs and Middleware: Connecting Modern Applications APIs and middleware are the invisible gears of modern software. An API provides a stable entry point for requests, while middleware sits between services to help them connect, secure, and coordinate. Together, they let teams build flexible apps without rebuilding each time data or logic changes hands. What they do: Connect systems: API contracts define how to ask for data and how to receive it. Protect and govern: authentication, authorization, rate limits, and auditing keep services safe. Transform and adapt: data formats, versions, and protocols can shift without breaking callers. Orchestrate flows: middleware can route, aggregate, and retry calls across services. Common middleware types: ...

Secure API Design and Middleware Governance Secure API design starts with a simple goal: make every call secure by default, from who can access to what data is returned. Middleware — the layer that sits between clients and services — should enforce clear policies rather than rely on every team to reinvent the wheel. When governance is in place, teams share rules for authentication, rate limits, and logging, reducing surprises in production. ...

APIs and Middleware: Building Connected Systems APIs are the visible surface of a system. They expose data and actions that other services or apps can use. Middleware sits just underneath, guiding requests, translating formats, enforcing rules, and coordinating work across services. Together they create a connected network where parts can be developed, deployed, and scaled independently. What is middleware? It is software that lives between applications and their partners. It can translate data formats, enforce security, and move requests from one place to another. In practice, middleware includes API gateways, service meshes, message buses, and small helper services that handle logging, retries, and authentication. ...

Microservices architecture patterns for scalable apps Microservices help you scale teams and features. They also add complexity, so patterns matter. The goal is to keep services small, independent, and easy to update without causing new issues in other parts of the system. Good patterns reduce risk as you grow. Patterns to support scalable apps API gateway and service mesh: An API gateway handles external requests, authentication, rate limits, and routing. A service mesh manages internal calls, retries, timeouts, and secure mTLS communication. ...