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The latest posts and insights about Ambassador - our products, our ecosystem, as well as voices from across our community.

Chaos Mode

API Development

Testing APIs with Chaos Mode: A Comprehensive Guide to Error Handling

Let's say you're building an e-commerce app, and you need an API to process payments. Everything seems to work fine in your test environment—orders go through, payments are confirmed, and receipts are sent. However, this isn't how things work in the real world. A network failure could drop a request during processing, the payment gateway could suddenly become unresponsive, or, in the worst case, your API might receive an unexpected payload that causes it to crash. You can't predict precisely when or how these failures will happen. But what if you could prepare for them instead of hoping they never occur? That's where chaos testing comes in.

 Prince is a technical writer and DevOps engineer who believes in the power of showing up. He is passionate about helping others learn and grow through writing and coding.
February 14, 2025 | 12 min read
Chaos Engineering

API Development

Mocking APIs with Chaos Engineering: A Guide to Controlled Failure Simulation

Imagine your system failing not in a catastrophic, unexpected way, but in a controlled experiment designed to expose its weaknesses before real users ever experience them. That is the essence of chaos engineering: intentionally introducing failures to test resilience, uncover vulnerabilities, and build stronger systems. In distributed systems, a single failure can trigger a domino effect, leading to massive disruptions. Companies like Netflix pioneered chaos engineering by randomly disabling services in production to ensure the system can withstand unexpected issues. But what if you could create these failure scenarios in a safe, controlled environment without affecting live systems? That is where API mocking comes in. By simulating external services and injecting failures into API responses, you can test how your applications handle real-world disruptions without risking production stability.

February 10, 2025 | 16 min read
API Service Catalog

API Development

How a Service Catalog Empowers API Product Owners to Maximize Value

A few years ago, the term API Product Owner wasn’t widely recognized, but hearing it for the first time signaled a fundamental shift in how companies approach APIs. Today, organizations are treating APIs as full-fledged products, not just technical byproducts of applications. Managing these APIs effectively often involves leveraging a service catalog to ensure they remain organized, discoverable, and valuable. Think about the early days of your organization’s API journey. APIs were often considered a supporting element of an application—created to enable functionality but quickly forgotten once the application was live. Over time, these neglected APIs became liabilities: outdated, duplicated, and difficult to maintain. Thankfully, this mindset has changed. Companies now recognize that APIs are cornerstones of their digital ecosystems. As API ecosystems grow in size and complexity, managing them effectively has become one of the greatest challenges—and opportunities—for API Product Owners.

February 7, 2025 | 6 min read
API Spec

API Development

Advanced API Spec Management with AI: Shaping the Future of API Editing

For technical writers and API documentation engineers, API specifications are the backbone of clear, reliable API docs. However, managing specs, such as the Open API specification, is no small feat. Between juggling API versioning control, catching validation errors, and translating technical details into user-friendly guides, even a pro can feel buried in YAML files or lost in endless feedback loops. The problem is that manual editing is slow, error-prone, and siloed. A misplaced indent in a JSON schema can break an entire integration. Conflicting changes from teams can delay timelines. And explaining complex specs to non-technical stakeholders is often a struggle. But what if AI could help? NOT replace, don't freak out. Instead of combing through lines of code for typos, imagine tools that automatically flag and fix inconsistencies. Instead of manually updating docs for every API change, picture systems that generate accurate specs from plain English descriptions. AI can even predict how a small tweak might ripple across your API ecosystem or resolve merge conflicts before they stall collaboration.

 Prince is a technical writer and DevOps engineer who believes in the power of showing up. He is passionate about helping others learn and grow through writing and coding.
February 5, 2025 | 15 min read
Debugging

API Development

Debugging Best Practices for Scalable and Error-Free APIs

Ask any API or app developer if they like debugging, and you’ll likely get a resounding “no.” Most will tell you they’d rather spend their time building cool stuff, not fixing bugs. However, debugging is a critical part of the development process, which most developers will have to do at some point. If you want to learn more about debugging APIs and how to deal with code bugs more efficiently, this article is for you. Debugging Common API-Related Errors

February 3, 2025 | 16 min read
OpenAPI Generator

API Development

From C# to Kotlin: A Deep Dive into Blackbird’s Expanded Language Support

Blackbird API Development offers support for multiple languages and frameworks, giving users the flexibility to create APIs in the technology stack of their choice. This feature streamlines API development by integrating seamlessly into existing workflows. The code generator leverages a robust library of server stubs and client libraries, eliminating the need for users to implement and maintain their own templates. This enhances productivity and reduces friction in adoption across diverse development environments. Meeting Developers Where They’re At

January 30, 2025 | 8 min read