Systems | Development | Analytics | API | Testing

One of the most critical requirements for an Application Modernization project is to support workloads running on multiple platforms. In fact, such projects naturally include in their transformation process migrating workloads approach using the hybrid model. Another typical technical decision that commonly comes up is the adoption of Kubernetes as the main platform for the existing services and microservices originated by the modernization project.

API providers need to observe their APIs to get meaningful data about whether and how they are consumed in practice. API observability is a form of monitoring that passively logs API traffic to an observability service. Different from traditional API monitoring, with API observability you: Monitor interactions to improve developer experience Understand how customers use your API Troubleshoot your API Observing REST APIs is well understood and supported, but not every API is a REST API.

Founding a developer-first startup isn’t quite the same as starting a regular company. When your primary focus is on creating products to sell to developers, you need to build a sales strategy around those developers’ needs. The occasional email with a ‘click here for a demo’ button just won’t cut it. Instead, it’s time to work on your content strategy. Why take our word for it?

API providers need to understand how their consumers are using their APIs. Usage metrics are essential because they tell you about API adoption, how your API is growing over time, and which endpoints are seeing more (or less) use. When you look at API usage metrics, you should be measuring the active users on your API in the sense that most closely aligns with your service.

Finding efficient ways to process, share, and reuse functionality and data is crucial – it’s an important way to break down monolithic applications into more consumable and maintainable microservices. In today’s API-focused world, this translates into multiprotocol development (gRPC, GraphQL, EDAs, etc.) and an enhanced development process (governance, standards, design-first). To understand this, we need to look more closely at protocols.