Systems | Development | Analytics | API | Testing

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70% Faster Deployments and High-Performance Private Network

It’s Day 2 of our Launch Week, and we’re excited to unveil our new networking stack! If you're following us, you know that we're obsessed with performance: we want fast deployments and a speedy network once your apps are live. Long story short: while working on optimizing deployments speed, we hit limitations with our old stack, we decided to revamp everything and built a new networking stack for the platform.

New in Confluent Cloud: Making Serverless Flink a Developer's Best Friend, Protecting Sensitive Data, and More

The Q3 Cloud Bundle Launch comes to you from Current 2024, where data streaming industry experts have come together to show you why data streaming is critical today, especially in the age of AI, and how it will become even more important in shaping tomorrow’s businesses. This year’s Current event attracted over 2,500 attendees, both in-person and virtual, and featured 140+ learning sessions by industry experts.

The Power of the Best-in-Class Ecosystem

In the business world, gaining the “unfair advantage” often seems like a strike of great luck and timing (think Zoom and the pandemic). But in reality, it’s often the result of deliberate strategies and actions (in Zoom’s case, delivering a superior user experience). One great strategy: getting the unfair advantage through a best-in-class technology ecosystem.

Top 10 SEO Tools to Consider in 2024

Search engine optimization (SEO) has evolved from being a niche marketing tactic to a fundamental strategy for driving website traffic and conversions. With constant algorithm updates and the increasing competition for search engine rankings, businesses need to stay on top of their SEO efforts. To do that effectively, investing in the right SEO tools is critical.

Cognitive Biases in Software Testing: A Guide To Overcome

We are humans, and humans sometimes make mistakes. We make hundreds of decisions on a daily basis, and sometimes those decisions are not entirely based on rationality, but on cognitive biases. Anyone, including testers, can be subjected to the trappings of cognitive biases. Those biases are the result of years of evolutionary adaptation, and they allow us to make quick judgements (we all want to survive). However, they usually aren't the best judgements.

Using a Mock Server: Understanding Efficient API Testing

API testing is critical to modern software development, ensuring that applications communicate seamlessly and function as expected. However, setting up testing environments that accurately mimic real-world conditions can be complex, time-consuming, and costly. APIs often change, and dependencies on third-party services or backend systems can delay the development process, making it challenging to conduct reliable tests in real-time.

A guide to Laravel pipelines

When building web applications, it's handy to break down a feature's complex processes into smaller, more manageable pieces, whether by using separate functions or classes. Doing this helps to keep the code clean, maintainable, and testable. An approach you can take to split out these smaller steps in your Laravel application is to use Laravel pipelines. Pipelines allow you to send data through multiple layers of logic before returning a result.

How to use the Throws keyword in Java (and when to use Throw)

Imagine you're a postal worker sorting through a mountain of packages. Some packages are ticking suspiciously, while others are leaking mysterious liquids. As a responsible postal worker, you have two choices: deal with these problematic packages yourself (throw) or slap a big "HANDLE WITH CARE" sticker on them and pass them along to the next person in line (throws). Think of throw as actually creating an error in your program. You use it when something goes wrong and you want to stop the program.

GitHub Copilot vs Codium AI: Choosing the Right AI Tool for Your Project

Coding assistants are quickly becoming essential tools in the software development process. By 2028, it’s expected that 75% of enterprise software engineers will rely on AI-powered coding assistants, a huge jump from less than 10% in early 2023, according to Gartner. The reason for this sharp increase is clear — AI coding assistants can boost developer productivity by up to 45%. This helps streamline tasks like code generation, review, and documentation, compared to traditional methods.