Systems | Development | Analytics | API | Testing

This blog post is designed as a guide to illuminate the critical importance of software testing plans—a cornerstone in ensuring the delivery of reliable and high-quality software products as we described in a previous post when we described the process of creating a complete Test Plan. For QA professionals and testers, as well as for those developers that are getting initiated on a journey into the world of testing, this post serves as a reaffirmation of our principles.

Django is a “batteries-included” framework. It has a wide array of built-in features that handle common web development tasks: URL routing, template engine, object-relational mapping (ORM), and database schema migrations. This makes it highly efficient for rapid development, allowing developers to focus on building their applications' unique aspects without reinventing basic functionalities.

As software systems become increasingly complex, observability — the ability to understand a system's internal state based on its external outputs — has become a critical practice for developers and operations teams. Traditional observability approaches struggle to keep up with the scale and complexity of modern applications. As the amount of telemetry data grows, it becomes expensive and complex to navigate. Enter AI and its promise to revolutionize observability.

Now that we have set up our API, integrated it with Kong, and connected Stripe with Moesif, we have the infrastructure to begin billing for API usage. Now, we will move into configuring Moesif with the pricing, metering, and access control/governance pieces of the API monetization journey. Let’s kick things off by setting up the prices we want to charge for API usage in Moesif.

When using Linx, you may wonder how to access isolated or hard-to-reach resources. It may be that that resource is unreachable because of firewalls or strict control and governance policies. There are a few options to access these gated resources.

Node.js 22 has been released, offering a compelling upgrade for developers. It takes over the 'Current' release line, while v21 transitions into maintenance mode until its end-of-life in June. This release delivers advances like a stabilized Watch mode, pattern matching support in the fs module, a default-enabled WebSocket client, and a new--run flag for script execution. It also offers some performance improvements and the usual V8 engine upgrade.

In Swift, an enum (short for enumeration) is a powerful feature that allows us to define a data type with a fixed set of related values so we can work with those values in a type-safe way within our code. In this article we’ll be taking a closer look at Swift enums and their applications in Swift, as well as providing some real-world examples of how we could deploy them in our builds.

Accelerate Healthcare and Life Sciences is a one-day virtual event, featuring technology and business leaders from Elevance Health, Ginkgo Bioworks, Datavant and more, to discover executive priorities, best practices and potential data and AI challenges that are top of mind for 2024.

Snowflake Cortex is a fully-managed service that enables access to industry-leading large language models (LLMs) is now generally available. You can use these LLMs in select regions directly via LLM Functions on Cortex so you can bring generative AI securely to your governed data. Your team can focus on building AI applications, while we handle model optimization and GPU infrastructure to deliver cost-effective performance.

Data mining, also known as Knowledge Discovery in Data (KDD), is a powerful technique that analyzes and unlocks hidden insights from vast amounts of information and datasets. Data mining goes beyond simple analysis—leveraging extensive data processing and complex mathematical algorithms to detect underlying trends or calculate the probability of future events.