Microsegmentation is a security approach that restricts network access between applications and workloads to the communication they actually need. Its purpose is to narrow the paths an attacker can use to reach other systems after compromising one system. Microsegmentation supports a Zero Trust architecture, but it does not replace identity security, application authorization, patch management, or data protection.

Observability is the ability to use the telemetry a system produces to explain its behavior, performance, and problems. Logs provide event details, metrics show measurable changes, and distributed traces reveal a request's journey across services. The value comes not from accumulating this data on separate screens, but from connecting it within the context of the same business service and transaction.

When a monolithic application is divided into dozens of independent microservices, the backend architecture is not the only thing that changes. How clients communicate with those services becomes a new architectural problem. Imagine a mobile application that needs to know separate addresses for user, order, payment, product, and notification services. If every service also has to implement its own authentication controls, rate limits, TLS configuration, and logging logic, both the client and backend architecture can quickly become unnecessarily complex. An API Gateway creates a controlled entry layer that hides much of this complexity from clients.

Technology providers are usually evaluated according to today's requirements. Does the platform provide the necessary features? Is performance sufficient? Is the price acceptable? How quickly can the project go live? These are all important questions. But enterprise technology decisions require another question that is just as important as selecting the provider in the first place: What happens if we need to leave this provider several years from now?

When an application runs on a single server, that server has a finite capacity regardless of how powerful it is. As traffic increases, CPU, memory, network, disk, connection, or application resources may become exhausted. If the server fails completely, the service may become unavailable. Simply replacing that server with a more powerful machine does not solve the long-term architectural problem.