Systems | Development | Analytics | API | Testing

Do attractive things work better? Some say they do, and for good reason. According to a widely cited Stanford research study, 94% of first impressions are design related. Visually appealing designs have the remarkable ability to influence user perception and make it easier for people to find solutions to the problems they encounter. This is a testament to the power of design in shaping the user experience.

There is a scene in Mission: Impossible – Rogue Nation where Tom Cruise is hanging onto the outside of a jet as it has taken off. And while, yes, he’s going with it, he’s not really on board or in control. Some data executives feel like that. It’s not enough to establish goals — or, the destination in this metaphor. The data strategy must provide a flight plan for making sure you get there — on time, on budget and, of course, safely on board.

In today’s digital world, APIs have become key to connect apps and services, both internally and externally. However, when integrating with external entities like partners and service providers, API security is a major concern for businesses. And from a user’s perspective, traditional authentication approaches in mobile apps or digital channels often deliver a less-than-ideal digital experience.

API observability is essential for enhancing performance, speeding up issue resolution, and tightening security. An API observability tool is crucial for understanding and managing the complex web of API interactions within modern enterprise applications. With the benefits of API observability, you can dive deep into API behavior, ensuring reliability and better user experiences.

REST APIs, or Representational State Transfer APIs, provide a standardized approach for applications to communicate and exchange data efficiently. However, building and managing these APIs can be time-consuming and involve repetitive tasks. This is where REST API tools help. These are software solutions designed to simplify and streamline the entire process for developers, making it more efficient to build, test, and manage REST APIs.

The email marketing industry is now more powerful than ever. A recent study showed that for every $1 spent on email marketing, marketers make $42—a 4,200% ROI! But for developers, creating a winning email strategy goes beyond catchy subject lines and creative design. It’s about deploying effective Email APIs to automate workflows, personalize outreach, and ultimately, drive exceptional results.

After 20 years of dashboards, today’s line-of-business users expect more value from their analytics, and it’s up to your business to keep updated - or risk getting left behind. There was a time when product teams could purchase basic dashboards and data visualizations, and that was more than enough to satisfy the average user’s business intelligence (BI) and analytics needs. Today, however? Not so much.

Test case is the backbone of any testing project. The art of software testing is to write the right test case. Firstly it’s not about how you write it, but rather what scenarios you are writing for. After that, we need to closely tie our test cases with test design and test execution. Let’s explore how to write test cases in the most strategic fashion.

RAG and Fine-Tuning are two prominent LLM customization approaches. While RAG involves providing external and dynamic resources to trained models, fine-tuning involves further training on specialized datasets, altering the model. Each approach can be used for different use cases. In this blog post, we explain each approach, compare the two and recommend when to use them and which pitfalls to avoid.

When you’re ready to automate your manual tests, you might naturally think you need to hire someone with a technical skill set who specializes in automating end-to-end tests. That is, you might think you need to hire a QA engineer. It’s not an unreasonable assumption. But for many startups, it’s the wrong thing to do. QA engineers are quite expensive (in more ways than one), bottleneck release processes with their complex tooling, and can present other types of business risks.