How to Build Better Microservices in Design, Security, and Scalability

Services Related to Business Capabilities

It is the first and one of the most important principles. It is essential to identify meaningful business capabilities before creating microservices. For example, rather than having separate services for customer database access and controllers, an application might have a ‘customer management’ capability. This is one of the crucial microservices development best practices because poorly defined boundaries can create excessive inter-service communication.

Services Should be Loosely Coupled

A microservice should be capable of evolving without making simultaneous changes across multiple services. Tight coupling can emerge through shared databases, business logic, and schemas. This can reduce the flexibility of the respective service. It is, therefore, necessary to ensure that each service exposes only the capabilities other services require. Architecture guidance from Microsoft specifically recommends avoiding shared database schemas.

Each Service Should Have Clear Ownership

Data ownership is at the core of effective microservices. A service should generally control the data required for your business capability rather than enabling other services. For example, the order service should access order data and the inventory service should get access to inventory data. The order service should not modify tables belonging to the inventory service and vice versa. This can improve autonomy but introduce distributed data management challenges.

Design APIs Carefully

Poor API design could generate some hidden dependencies that would ruin the whole microservice architecture. Custom mobile application development services aim at making good APIs that have proper naming, error handling, versioning strategy, and domain semantics. The developers must avoid making an API that is chatty and requires many calls to perform a single action. Good APIs enable services to evolve independently.

Use API Gateway Properly

The API gateway acts as a controlled access point between clients and backend services. Unlike a situation where there is a need to call different internal services individually, the client can interact with the gateway. This will direct the call to the appropriate backend. The API gateway is useful for different purposes, including authentication, request routing, TLS termination, monitoring, policy enforcement, and rate limiting. It also contributes to reducing complexity for clients. monitoring, policy enforcement, and rate limiting. It also reduces client complexity.

Plan Service Discovery Appropriately

As the number of services increases, it becomes more difficult to maintain service locations manually. Service discovery enables services to locate available instances dynamically. Effective service discovery best practices in microservices include the following:

• Use a reliable service registry
• Avoid hardcoding service addresses
• Monitor service health
• Handle unavailable instances gracefully
• Establish secure service-to-service communication

Service discovery has a direct connection with reliable inter-service communication.

Choose the Right Communication Pattern

The intercommunication between microservices could be synchronous or asynchronous. Synchronous communication means a service would send a message and wait for an answer. Common methods of this type are REST APIs and gRPC. Asynchronous communication implies that one service will publish a message or an event, which another service processes independently. Teams should select a proper communication pattern based on the business requirements. ight inter-service communication pattern according to business requirements.

Use Containerization in a Strategic Way

Containerization is an efficient method of encapsulation and deployment of services together with their dependencies. Docker microservices allow teams to think about each service as a container and deploy them consistently at all stages. This is beneficial to create consistent environments and quick deployment. Containerization makes an architecture scalable; nevertheless, teams still need proper resource management and orchestration.

Build for Independent Scaling

One of the strongest arguments for microservices is independent scaling. A service may need to scale to address increasing traffic volume, CPU consumption, database load, queue depth, and scheduled workloads. Microservices enable teams to scale the specific service instead of scaling the entire application. This targeted approach is one of the most useful benefits of microservices, especially when application-level scalability is not necessary.

Integrate Security into the Architecture

It is not proper to add security after deploying microservices. Companies should ensure that microservices security covers external and internal communication. Here, important considerations include strong authentication, API security, encryption in transit, network segmentation, input validation, and role-based authorization. Service-to-service communication may also require mutual TLS or other controls according to the environment.

Make a Design for Failure

When distributed systems fail, it is possible that a service may become unavailable and a network request may time out. The architecture should assume that failures will occur, and therefore, it is necessary to implement some resilience techniques, including

• Timeouts
• Retries
• Circuit breakers
• Bulkheads
• Idempotency
• Graceful degradation

It is essential to use retries carefully. This is because repeating an unsafe operation can create duplicate transactions or additional system load. This is a reason why idempotency and failure-aware API design should be considered together.

Implement Effective Monitoring

Traditional application monitoring is insufficient for distributed architectures. Microservices monitoring should provide visibility across service boundaries. Developers should monitor response time, error rates, queue depth, dependency failures, security events, and deployment health. Distributed tracing is therefore useful to track a single user request through multiple services. 

For example: 

Mobile App → API Gateway → Order Service → Payment Service → Notification Service

If the request takes five seconds, tracing can help companies identify where the delay occurred. 

Use the Right Design Patterns

There is no universal architectural pattern that fits every application. Several microservices design patterns, such as API gateway, saga, circuit breaker, and bulkhead, can address recurring challenges. It is, therefore, important to choose the best microservices design pattern.

Avoid Creating Too Many Microservices

Creating dozens of tiny services without meaningful boundaries can create some issues over time. More microservices mean an increase in deployments, network calls, monitoring requirements, and greater debugging complexity. This is an architecture that technically consists of multiple services but remains tightly coupled, known as a distributed monolith. It is, therefore, necessary to keep meaningful service boundaries.

Standardize Where It Helps

Microservices give teams autonomy; however, unrestricted technology choices can create operational hurdles. If every team uses a different programming language, logging approach, monitoring platform, deployment process, and security mechanism, the organization has to maintain too many tools. Standardization can help the company get rid of this situation without creating unnecessary complexity. 

Let’s go through some common mistakes related to microservices.