Systems | Development | Analytics | API | Testing

Python Switch Case: How To Implement Switch Statements In Python

Have you ever wished Python had a native switch-case statement like C or Java? It would make conditional logic so much easier to read, especially when you have more than 3 conditions to handle. While Python doesn’t offer a built-in switch-case structure, the good news is that there are clean and Pythonic ways to achieve the same behavior. In this blog, let’s explore three practical ways to implement switch-case in Python with real examples and how to make sure they work using automated tests.

Develop Locally, Test Remotely: Choreo's 'Teleport' for Dependencies

When building complex, interdependent projects, local testing and debugging often become challenging. This is a common situation for most internal developer platforms and large-scale deployments. Replicating a deployed environment locally is inherently complex, especially when the code depends on external services or specific platform integrations.

WSO2 Healthcare: Achieving G10 Certification with Ease

The push for digital health innovation and patient-centered care has driven major updates to the ONC Health IT Certification Program. One of the most impactful updates is G10 certification (G10), a requirement that ensures health IT systems offer standardized, secure, and interoperable APIs based on FHIR and SMART on FHIR specifications. G10 is a critical compliance requirement under the 21st Century Cures Act Final Rule, issued by the Office of the National Coordinator for Health IT (ONC).

DreamFactory Earns "Awardable" Status on DoD Tradewinds Solutions Marketplace

Thrilled to share that DreamFactory’s pitch video has been officially deemed Awardable by the Department of Defense’s Tradewinds Solutions Marketplace! It’s an honor to stand out in a competitive field for our innovation, scalability, and potential impact on DoD missions. Government customers, please check out our five-minute overview on Tradewinds: tradewindAI.com.

Kong Konnect: Introducing HashiCorp Vault Support for LLMs

If you're a builder, you likely keep sending your LLM credentials on every request from your agents and applications. But if you operate in an enterprise environment, you'll want to store your credentials in a secure third-party like HashiCorp Vault or IDP provider and have the infrastructure inject the credentials for you dynamically.

Unit Testing Vs Functional Testing : Hands On Guide For Developers

To evaluate our software application’s quality and reliability we are going to have to test our application in a variety of ways. The two most basic forms of testing we have available to us are unit testing and functional testing. Unit testing and functional testing are the TRUE basic building blocks of those different types of testing.

Why We Built a Unified Error Monitoring Solution for Kotlin Multiplatform

The new bugsnag-kmp SDK is a unified error monitoring solution for Kotlin Multiplatform (KMP) projects, enabling developers to track and monitor errors across Android, iOS, and web platforms from a single codebase. The new SDK works seamlessly on Android, iOS, and web browsers Native Integration, each one linking directly with our existing platform SDKs.

Ultimate Guide to API Latency and Throughput

Latency and throughput are the two most important metrics for API performance. If your API feels slow or struggles with heavy traffic, understanding these is your first step to fixing it. Latency: The time it takes for a request to go to the server and back (measured in milliseconds). Think of it as how quickly a single request is handled. Throughput: How many requests your API can handle in a second (measured in requests per second). It's about your system's capacity.

Understanding AI Observability: Improve Efficiency, Security & Costs

In this video, Jason Mattis breaks down the fundamentals of AI observability, explaining its crucial role in managing and optimizing generative AI systems. Learn about the three core pillars—data monitoring, model explainability, and diagnostics—and how mastering these can help your organization ensure data privacy, maintain model accuracy, manage costs, and enhance overall AI performance.