AWS Lambda Data Pipeline Testing using LocalStack with Specmatic

Table of Contents Mastering Testing AWS Lambda Functions with LocalStack and Specmatic With fast-evolving data ecosystems, building reliable and scalable data products is essential. One key component of many modern data architectures is AWS Lambda, which offers serverless compute power to process data streams efficiently. However, testing these Lambda functions within a data pipeline can […]

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New features and a BIG Announcement! Specmatic is bringing apidays to India!

In the past few months, we have launched a flurry of exciting features, presented at several global conferences and onboarded several new team members. We are bringing apidays to India! This is all part of our mission to help organizations worldwide build more reliable, maintainable, and future-ready APIs.  Apidays India 2025: Future-Proof APIs for Billions! 

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Speakers presenting on API Governance at tech conference.

Update: See how Specmatic is transforming API testing & development

We’ve been hard at work, rolling out exciting new features and sharing the power of Specmatic and Contract Driven Development around the globe! Let’s explore the latest developments in how Specmatic is transforming API testing & development. Elevate Your Impact – with Specmatic  Point, Click, Generate, Validate & Test: Your OpenAPI Examples Just Got Smarter 

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Build Apps from API specs using AI: Self-Correcting Contract-Driven Agentic Workflows with Specmatic

Harnessing the Power of API Specifications for Robust Microservices  Modern microservice architecture hinges on precise and dependable communication between services. This is where API specifications serve as the linchpin, establishing clear, executable contracts that dictate how services interact. With advancements in AI, we can now take these specifications and seamlessly transform them into running applications.

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OpenAPI Examples Simplified: Visualize and Generate Domain-Specific Test Dataโ€‹

Streamlining API Development: An Interactive Guide to Example Generation and Validation using Specmatic  A robust, streamlined approach to API development is crucial for maintaining efficiency, reliability, and scalability in your development pipeline. One powerful methodology that has emerged is Contract-Driven Development (CDD), allowing developers to fully realize the benefits of microservices architectures. This article demonstrates

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Pact’s Dependency Dragโ€‹: Why Consumer-Driven Contracts Don’t Support Parallel Development

Exploring the challenges and limitations of using Pact for contract testing in a microservices environment.  In the domain of microservices, ensuring seamless communication between different services is paramount. This necessitates robust contract testing to ensure that APIs and their consumers are in sync. With an increasing number of organizations adopting microservices, tools like Pactโ€”a consumer-driven

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OpenAPI’s Broken Tooling: Roundtrip Fidelity Failure with CodeGen and DocGenโ€‹

Exploring the Strengths and Weaknesses of Automated API Development  Maintaining well-documented and reliable APIs is essential for any microservices development pipelines. At the heart of this process for OpenAPI specs are two important tools: CodeGen and DocGen. CodeGen, short for code generation, and DocGen, documentation generation, are designed to streamline the development cycle by automating

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gRPC Flawsโ€‹ – The Illusion of Safety & Frustrating DevEx in Proto3’s Type-Safe Contractsโ€‹

Understanding the Shortcomings of gRPC and How Contract Testing Can Bridge the Gap  In the ever-evolving world of API design, development, and testing, the pursuit of a seamless developer experience (DevEx) remains a constant. This article sheds light on some of the overlooked pitfalls of gRPC, a popular choice for its performance capabilities and type-safe

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WireMock’s Dirty Secret: Ignoring API Specs & Letting Invalid Examples Slip Throughย 

Overcoming the Challenges of Hand-Rolled Mocks with Contract-Driven Development  APIs and microservices have transformed the way software systems are built and maintained. However, developing a system that relies on multiple servicesโ€”both internal and externalโ€”presents unique challenges, especially when some services are not fully available. In this critique of WireMock, we examine the critical importance of

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