Core Data enables us to manage the model layer of an Apple application. This layer is a crucial part of our app’s engine room, allowing the pretty bits at the front end to interact with the data and business logic at the back. We love Core Data because it provides a powerful database technology framework, and it’s built on top of the SQLite management system, which requires zero configuration or external storage space.

Jeremy H - March 4, 2024 API-first development prioritizes designing and building application programming interfaces (APIs) before any other components of the application. This approach ensures that APIs, which allow different software systems to communicate, are central to the development process.

The Kong Konnect team recently launched the Portal Management API, which allows users to manage their Developer Portals with one API. That means you can easily manage your portal settings, appearance, application registrations, and registration settings easier than before. In this blog, I’ll walk you through two scenarios that we expect the portal management API can help streamline.

Data integration is a vital practice for organizations seeking to leverage the wealth of information available to them. To achieve this, it's crucial to establish a seamless method of sending data from multiple sources to a centralized repository, such as a data warehouse. One commonly employed solution is SFTP (Secure File Transfer Protocol). In this comprehensive guide, we'll delve into the details of SFTP, explaining what it is and how to configure it securely for file transfers.

There are a few universal truths modern quality assurance (QA) teams have to acknowledge. While all of these are true, the expectation that QA teams can deliver new and existing bug-free features with aggressive time and cost constraints without support is unrealistic. Additionally, several in-house teams struggle to hire and retain specialized testing expertise.

Both MySQL and Oracle provide the same architecture and use the relational model, and both offer many standard features such as indexing, vertical scalability, and support for popular operating systems. However, there are some critical differences between the two tools. Deciding between them can shape an enterprise’s data management and directly impact its success.

The manufacturing industry can benefit from AI, data and machine learning to advance manufacturing quality and productivity, minimize waste and reduce costs. With ML, manufacturers can modernize their businesses through use cases like forecasting demand, optimizing scheduling, preventing malfunctioning and managing quality. These all significantly contribute to bottom line improvement.

BigQuery now supports generative AI use cases using Gemini 1.0 Pro with Vertex AI, providing higher input/output scale and better result quality.

Node.js is a powerful platform for building scalable and efficient server-side applications. One essential feature of Node.js development is managing timeouts effectively. Timeouts help handle various scenarios, such as preventing requests from hanging indefinitely or executing tasks within a specific timeframe. Let's get into the timeouts as time is out, what timeouts mean, and why they are necessary for Node.js applications.

We are going to discuss JMeter Assertions in this post. There is already a fantastic Ultimate Guide post about how to use JMeter Assertions in the JMeter section of the OctoPerf Blog and this can be found here.