Systems | Development | Analytics | API | Testing

Securely and reliably build custom connectors for any data source to ensure no data source is left siloed or underutilized.

A revolution is underway as martech and adtech continue to converge around first-party data — and the revolution is happening on Snowflake. This seismic shift isn't a mere trend; it’s a game-changing transformation that will continue to shape the way that marketers and advertisers connect with consumers amid increasing privacy regulations, new identity frameworks and rising customer expectations.

Sports organizations have made major strides in recent years. Teams across the industry are transforming into data-driven organizations on the fan engagement, monetization and sports operations sides of the business. This trend is perfectly timed with the AI hype cycle. AI is proving that it’s here to stay. While 2023 brought panic and wonder, and 2024 saw widespread experimentation, 2025 will be the year sports teams get serious about AI's applications.

Organizations are in a sheer need to stay up-to the minute, and be ahead for protecting their systems and data. Penetration testing can prove to be a structured process that can mimic the real-world vulnerabilities before it’s prone to any malicious exploits. In this entire lifecycle of pentesting, we got some tools in order to automate, streamline, and enhance each phase of it. They could be of various types, based on their specific role in this entire lifecycle.

Releasing a beta version of a Node.js package is a common practice when you want to share a new feature or a breaking change with testers or early adopters without affecting your stable users. Beta releases are tagged with a special version identifier (like 1.0.0-beta.0), making it clear that the version is pre-release and not production-ready. In this guide, we will cover the steps to release a beta version of your package using npm, ensuring a smooth and controlled release process.

In this article, you'll learn about N+1 queries, how to detect them with AppSignal, and how to fix them to speed up your Django apps significantly. We'll start with the theoretical aspects and then move on to practical examples. The practical examples will mirror scenarios you might encounter in a production environment. Let's get started!

Ever commit code and wonder how it’s faring in the pipeline? Let's make every status update as clear as day. Every time you push new code, a series of automated CI builds and checks spring into action, each telling a part of your project's story. This is where git commit statuses come in—they transform the complex results of these processes into clear, actionable insights. Think of them as real-time signals that indicate whether your code is ready to go live or needs a little more attention.

Efficient handling of asynchronous data streams is an important tool of modern application development. Kotlin Flows, part of the Kotlin Coroutines library, provide a flexible and elegant solution for working with such data streams. Kotlin Flows are part of Kotlin Coroutines – unlike traditional callbacks or RxJava handling, which can be clunkier and may not directly integrate with your existing code structure easily.

Platform engineering is a software development approach that combines DevOps principles to elevate the developer experience. It focuses on designing and constructing toolchains and workflows that promote self-service capabilities for software engineering teams. By addressing security, compliance, and operational efficiency, platform engineering enables organizations to build robust internal systems tailored to the needs of both developers and operations teams.