Systems | Development | Analytics | API | Testing

Best Practices for Building a Secure FinTech App

‍ Trust is the currency in FinTech - and in 2025, that currency is under siege. Cybercrime is accelerating. Global costs from cyber attacks are projected to hit USD 10.5 trillion annually in 2025, up sharply from about USD 3 trillion in 2015. Meanwhile, in the financial sector where your app may live, the stakes are even higher: the average cost of a data breach in financial services is pegged at USD 6.08 million.

Cross-Cloud Data Replication Over Private Networks With Confluent

Modern businesses don’t run in just one place. Your applications might live in Amazon Web Services (AWS), your analytics in Microsoft Azure, and critical systems on-premises. The challenge? Keeping all that data connected and flowing in real time—without adding complexity or risk. As more organizations adopt these multicloud strategies, the need for secure, private data replication has become critical.

What is BDD?

The term “Behavior Driven Development”, or BDD, is an umbrella term for a wide variety of techniques. The general principles of BDD include reframing tests as descriptions of system behavior – “when I do one thing, I should see this result”. Historically, those descriptions were the output of a computer program. Over time, the uses of BDD shifted toward Gherkin, an English-like but precise language.

Why Fast Analytics Unlocks Smarter Decisions (and AI Readiness)

A few years ago, we looked across many deployments and noticed a pattern: teams would build prototypes, spin up ML pipelines, and then stall. The model’s accuracy dropped. The “aha insights” dried up. The data scientists would get stuck waiting for dashboards to refresh, or data to be cleaned.AI is sexy. It sells. But it doesn’t do itself. The missing piece? Data readiness. Not just fast data.
Sponsored Post

Testing AI Code in CI/CD Made Simple for Developers

Generative AI can produce code faster than humans, and developers feel more productive with it integrated into their IDEs. That productivity is only real if CI/CD tests are solid and automated. When not appropriately tested, you may encounter a production issue that you haven't seen before. According to the State of Software Delivery 2025 report, 67% of developers spend more time debugging and resolving security vulnerabilities in code generated by AI. That cancels out the efficient gains that they get from faster AI code generation.

iOS App Testing: How to Test an iOS App on iPhone

It’s one thing to build an app. It’s another to make sure it actually works the way people expect – on real iPhones, in the wild, under all kinds of conditions. That’s where iOS app testing comes into play. Crashes, broken layouts… these are the kinds of things that can tank your reviews fast. If you want to avoid that, you need to test the app properly. And that’s exactly what we’re going to walk you through in this short guide.

Best Affordable Test Automation Tools For QA Teams In 2025 [Pricing Comparison]

In our rapidly-changing digital world, companies are always searching for tools to enable automation for testing. Due to the increase in popularity of test automation, it is important to understand the pricing for testing tools. Whether you’re selecting a platform to help you simplify your QA process or determining how much to invest in test automation, pricing is an important factor.

The Challenge: Can You Trust What You're Shipping? You Will with Insomnia v12

This is the eighth post in a series about reasons to attend API Summit 2025. Check out the previous post here. The first time you push an API to production, you’re excited it’s finally live. You’re relieved that you can move on to your next big project. You’re also nervous. You’ve tested as much as you thought you should, but somewhere in the back of your mind is a whisper of, “What if I missed something? What if the commits are messy?

Augmenting Coverage; Not Just Speed

Agentic testing isn’t just about faster execution - it’s about uncovering what’s missing from your test suite. This blog explores a forward-looking model where AI agents help identify gaps in traditional, deterministic systems through techniques like scenario delta detection, data condition surfacing, edge path exploration, and test case obsolescence tracking.

Xray App Editions: more flexibility, more choice for all teams

In the Atlassian ecosystem, every team has its own way of approaching testing: some are just starting out and need the basics; others are scaling automation, managing complex pipelines, or working under strict compliance standards. Until now, Xray offered a core application with the base set of features, and users could add Xray Enterprise on top of that to gain access to additional functionalities.