Systems | Development | Analytics | API | Testing

What is the Transactional Outbox Pattern? | Designing Event-Driven Microservices

The transactional outbox pattern leverages database transactions to update a microservice's state and an outbox table. Events in the outbox will be sent to an external messaging platform such as Apache Kafka. This technique is used to overcome the dual-write problem which occurs when you have to write data to two separate systems such as a database and Apache Kafka. The database transactions can be used to ensure atomic writes between the two tables. From there, a separate process can consume the outbox and update the external system as required.

REST APIs for Government

REST APIs are emerging as a simple and secure way to access sensitive government data, serving as conduits that enable seamless access and manipulation of data across various government systems. Government agencies face the pressing need to modernize their IT infrastructure to improve service delivery, enhance operational efficiency, and ensure the security of data exchanges.

Deploy your app to App Store Connect with Codemagic CLI tools and GitHub Actions

The process of building, code signing, and publishing mobile apps can be tedious and time-consuming, especially when working in a large team and also needing to share builds with QA engineers. That’s why Codemagic offers a cloud-based CI/CD service for mobile apps that automates the whole workflow with minimal time-effort on configuration. But what if you want to use Codemagic’s features locally or in another CI/CD environment, such as GitHub Actions?

Virtual Private Cloud vs On Premises | Key Differences & How to Choose

Wondering which is the best way to host your business applications and IT infrastructure? Many enterprises are transitioning from on-premises software to cloud computing. On the other hand, several established companies are investing their capital in on-premises software. Both of these deployment models have advantages and drawbacks, and you can zero in on the right option by considering your specific requirements.

Streamlining Cloud Native App Development in Kubernetes with Prioritized API Management

For years, we've witnessed how applications have shifted to the cloud, driven by cost savings, flexibility, on-demand access, scalability, and faster deployment times. During that time, new architectural best practices for building cloud native applications have emerged. (For more insights, refer to this whitepaper.) Yet despite these advances, it remains difficult to build cloud native applications that fully take advantage of Kubernetes, the platform of choice for most cloud deployments.

Avoid These Common Mocking Mistakes in API Testing

API testing is a bit like putting together a puzzle. You need all the pieces to fit perfectly to see the big picture, and sometimes, you have to simulate a piece or two with mocking. Mocking in API testing lets you imitate a component or system’s behavior to test your application more efficiently. It’s like having a stunt double for your API when the real actor is unavailable. This approach can save time, reduce costs, and increase the reliability of your testing process.

The Best Data Lake Tools: A Buyer's Guide

A data lake is a main storage repository that can hold vast amounts of raw, unstructured data. A data lake is not the same as a data warehouse, which maintains data in structured files. Five key takeaways about data lake tools: A data warehouse uses a hierarchical structure, whereas the architecture of a data lake is flat.