Systems | Development | Analytics | API | Testing

You can make your API observability posture more powerful and beneficial by treating Moesif as an engineering implement. The platform automatically captures API traffic out-of-the-box and provides actionable analytics and visualizations. However, the degrees to which they precisely and empirically illustrate the data, depend on where and how you’ve integrated Moesif.

API and AI services now sit at the heart of modern products. However, the more we use them, the harder it seems to become to account for the budget. Launching an AI product often leads to massive end-of-period bills. This requires attributing costs to the key internal power users and consumption drivers. The challenge is identifying the departments, products, or projects responsible for the consumption, and the extent to which they contribute.

In the last ten years, software testing has advanced significantly, but today’s applications require more than just using conventional forms of automated software testing or entry-level tools that employ artificial intelligence (AI). The rise of microservice architectures, API calls, and continuous deployment has led to another category of software testing products called "Generative" AI Testing tools.

In today’s data-driven software-as-a-service (SaaS) environments, the need for complete customer insights often requires fetching and sharing data that lives across multiple API endpoints. That’s why many of our customers want to use Confluent’s data streaming and integration capabilities to implement real-time API chaining—a technique that allows them to automatically follow relationships between APIs.

DreamFactory and Postman serve fundamentally different roles in the API development lifecycle. DreamFactory is an API generation and backend platform that automatically creates production-ready REST APIs from databases and other data sources, while Postman is an API development environment focused on testing, documentation, and collaboration. Though both platforms involve API management, DreamFactory generates and deploys APIs while Postman helps developers test and consume them.

One of the most critical ways to validate real user journeys across any application is through end-to-end testing. Modern software stacks have grown so distributed that manual E2E testing grows increasingly hard to maintain and nearly impossible to scale. This is where automation in end-to-end testing helps engineering teams with the reliability, speed, and confidence during every release.

Do you find yourself questioning why popular apps sometimes crash or act unusually? Regardless of how hard software is crafted, bugs are a huge obstacle for teams, often resulting in unhappy users, lost revenue, or even product release delays. Most organizations are unable to track these bugs effectively and so they often use a mix of spreadsheets, or scattered scribbled notes and lose them in the shuffle—causing confusion, repeated work, and issues that aren’t resolved.

This blog expands on insights Amjadh Ifthikar shared during his WSO2Con Asia 2025 presentation. Watch the full session here.