An API might seem like just a technical layer between two systems. In practice, it is through them that applications exchange data, services talk to each other, partners access features, and different components of an architecture can work together.

As a digital product grows, the number of APIs also increases. And along with it, issues with documentation, testing, versioning, security, and collaboration between teams can arise. A major challenge is managing this volume without turning every new integration into an isolated project.

This is where the combination of Postman and Amazon Web Services (AWS) gains traction. While AWS offers the infrastructure and services needed to run applications and APIs in the cloud, Postman brings together tools to design, test, document, collaborate on, and track the lifecycle of these APIs.

Integrating the two environments can bring development, testing, and operations closer together, especially in architectures based on microservices, serverless, and CI/CD pipelines.

The evolution of APIs

For a long time, talking about APIs meant talking primarily to developers. It was an interface created to allow one system to consume data or functionality from another.

This role still exists, but the use of APIs has grown alongside the transformation of corporate systems.

An application can depend on dozens of internal and external services. An e-commerce platform may use APIs for payments, inventory, logistics, authentication, and customer service. A financial institution can connect them to apps, partners, and third-party services. A company adopting artificial intelligence may rely on them to connect models, data, and applications.

The result is an architecture where APIs function as connection points between different parts of the business.

This expansion also requires up-to-date documentation, testing, and clear rules for changes and versions. An API needs to be discoverable by those who will use it, have updated documentation, undergo testing, and have clear rules for changes and versions.

The role of AWS

AWS acts primarily in the infrastructure and execution layers. AWS offers cloud computing services to run applications, make APIs available, store data, and support different software architectures. Depending on the architecture, a company can combine services such as Amazon API Gateway, AWS Lambda, Amazon ECS, Amazon EKS, databases, and various security and observability mechanisms.

In a serverless architecture, for example, an API can receive a request, trigger a Lambda function, and return the result without the team having to manage traditional servers. In a container-based architecture, APIs can run on services like ECS or EKS.

This flexibility is one of the reasons why APIs and cloud go hand in hand. The problem is that putting an API into production is only part of the job. Before that, someone needs to define its behavior, test its responses, validate different scenarios, and ensure that consumers have enough information to use it.

Afterward, it is necessary to maintain this process as the system evolves. It is precisely in this layer that Postman can complement AWS infrastructure.

Test automation in the pipeline

One of the most interesting aspects of this combination appears even before an API reaches production.

In Postman, an API can be represented by a collection of requests, parameters, examples, and tests. This allows the team to work with a shared set of references instead of each developer maintaining their own tests in isolation.

Collections can also contain scripts and assertions to validate responses. Thus, a test performed during development can become part of an automated routine later on.

This possibility becomes more relevant when connected to a CI/CD pipeline.

Postman offers command-line tools that allow executing collections outside the graphical interface and integrating them into continuous integration and delivery processes.

In an AWS environment, this can be connected to the platform's pipeline services.

The workflow can operate as follows:

1. A developer changes an application's code.

2. The code is sent to the repository.

3. The pipeline starts the automated build and validation steps.

4. The API tests are executed with a Postman collection.

5. Failures are identified before deployment.

6. If the criteria are met, the application moves to the next stages of the pipeline.

The advantage lies in the continuity of the process. Instead of manually testing an API only when someone remembers to do so, validation can be part of the delivery routine itself.

AWS demonstrates this type of integration in its documentation, including examples involving AWS CodeBuild, AWS CodePipeline, and Postman for API test automation.

Collections and Workspaces

Automating tests solves part of the problem. Another difficulty arises when multiple teams need to work with the same APIs.

It is common to find situations where one team knows a specific endpoint, another maintains different documentation, and a third has an outdated test collection. Postman attempts to centralize this context through Workspaces.

They function as collaborative environments where teams can share collections, environments, and other resources related to API development. The platform allows different workspace configurations, including internal spaces for partners and public workspaces.

This can reduce a recurring source of friction in larger organizations: figuring out how a particular service works.

An internal API that exists but that no one can easily find or understand ends underutilized. The result can be the creation of duplicate solutions for problems that had already been solved elsewhere in the organization.

The concept of a Private API Network aims to address exactly this issue. In corporate environments, the feature acts as a central directory for internal APIs, Collections, and Workspaces. Developers can search for available resources, view information, and reuse what already exists.

The organization can also structure these resources into folders and control who can manage them, creating an additional layer of governance.

How to validate an API before implementation

An API also needs to be validated before it reaches consumers. Imagine a company creating a new payment service. The endpoint is not ready yet, but other teams need to start developing their integrations. Waiting for the entire implementation to finish creates a dependency between teams.

Postman allows working with mocks, creating simulated endpoints from Collections so that consumers can test workflows before final implementation.

This process brings development closer to the definition of the API contract. The team can discuss requests, responses, error codes, and expected behaviors while the service is still being built. Later, the same elements can continue to be used in tests.

This continuity is important because it reduces the gap between what was designed and what actually reaches production.

In microservices architectures, where different services evolve relatively independently, this attention becomes even more critical. A seemingly small change to an API can affect multiple applications that rely on it.

Governance in API management

The greater the number of APIs, the greater the need to establish standards. It is possible to have hundreds of endpoints running correctly and still face governance issues. APIs can have inconsistent names, incomplete documentation, old versions in circulation, or inadequate permissions.

In this scenario, governance means creating rules and being able to monitor whether they are being applied.

Postman offers features aimed at this control, including an API catalog, private networks, access controls, auditing, and governance mechanisms available according to the contracted plan. The platform's documentation also allows managing elements of the Private API Network through Postman's own API, enabling automation of part of this management.

This can be combined with the existing security and governance structure in AWS. The separation of responsibilities becomes clearer when each layer fulfills its role. The cloud infrastructure controls resources, identities, permissions, and service execution. The API platform organizes the work related to the development, consumption, documentation, testing, and distribution of these interfaces.

For companies that are increasing their number of digital services, this division helps prevent API management from depending solely on the individual knowledge of developers.

Postman and AWS integration in practice

The combination of the two platforms makes the most sense when viewed as a complete workflow.

Imagine a company that has an application running on AWS and needs to make a new API available to a partner. The team can structure the specification, create a Collection for the endpoints, validate responses with automated tests, and run these checks during the delivery pipeline. After publication, the API can be made available in the internal catalog for the teams that need to consume it.

Each tool remains responsible for its specialty. AWS offers the necessary infrastructure to run and scale services. Postman organizes much of the work related to APIs and creates a layer of collaboration between the people who develop, test, and consume these services.

This model also accompanies an important shift in software architecture. APIs are being used to connect traditional applications, third-party services, and, increasingly, artificial intelligence systems.

The partnership that brings these two worlds closer

For many companies, adopting an API platform and structuring their cloud infrastructure are decisions that end up happening separately. In practice, they are part of the same technological environment.

An API needs a place to run, but it also needs to be designed, tested, documented, monitored, and made available to those who will consume it. AWS and Postman cover different parts of this workflow, and integration between the two can bridge the gap between development and infrastructure.

It is in this context that CodeBit begins to act as an official partner of Postman in Brazil, bringing this platform closer to its experience with AWS and software projects.

The partnership allows offering Brazilian companies access to the Postman ecosystem, including licensing, training, certifications, consulting, and local support. The proposal connects to CodeBit's work in cloud architecture, software development, and AI solutions.

For a company already working with AWS, the combination can be applied from the design of a new architecture to test automation and the organization of existing APIs. The result is a workflow in which development, infrastructure, and API management work in a more integrated way.

Postman and AWS offer complementary tools for this structure, while experience in implementing both platforms helps adapt this model to each company's needs.