Learn the basic principles of load testing, its benefits, how it works, and the steps to get started so you can build reliable & scalable systems yourself.

In this post, we’ll see how ChatGPT can be used to reinvigorate APIs by creating an OpenAPI specification for an existing API that has existing documentation.

Data analytics tools help your organization understand the insights in your data through custom dashboards, reports, applications, and other visualizations. This software category covers a broad range of capabilities and use cases, from drag-and-drop, no-code dashboard creation software to end-to-end data extraction, analytics, and management platforms. We picked eight of the top data analytics tools for 2024 by referencing G2 ratings and reviews.

Deliver faster marketing insights with governed data movement and democratization.

“According to BrowserStack, around 58% of companies are using visual testing in their QA cycle.” The need for creating high-performing web applications has pushed developers as well as QA teams to establish test methodologies that are ultra-productive. Be it test automation solutions or harnessing value through advanced test practices such as visual testing.

This is the most fertile time for mobile app development since the launch of the App Store. Our industry is in the grip of several simultaneous revolutions, each of them bending, flexing and moulding to the others. 5G promises to make our apps 10 times faster; wearable technology lets them wrap themselves around our bodies; artificial intelligence enables them to learn from us and get smarter every day. But this torrent of innovation brings challenges, too.

Today, we’re excited to announce the general availability of Data Portal on Confluent Cloud. Data Portal is built on top of Stream Governance, the industry’s only fully managed data governance suite for Apache Kafka® and data streaming. The developer-friendly, self-service UI provides an easy and curated way to find, understand, and enrich all of your data streams, enabling users across your organization to build and launch streaming applications faster.

In the contemporary software development landscape, unit tests have become paramount for ensuring software quality. A prevalent practice during these tests involves mocking outgoing calls to decouple the code under test from external dependencies. Imagine, for a moment, a scenario where instead of writing mocks with pre-defined behaviours, you duplicate the behaviour of a real-world server.

As analytics technology evolves, so do user needs and expectations. Many customers approach us hoping to boost their application’s analytics capabilities, which are often struggling to meet user demand.

Serialization and deserialization are two fundamental processes that play a pivotal role in achieving this goal, especially within the context of Node.js. Serialization and deserialization are the unsung heroes behind the scenes, responsible for converting complex data structures into formats that can be easily stored, transmitted, and reconstructed when needed. In Node.js apps where data is at the core of application functionality, a solid understanding of these processes is crucial.