Systems | Development | Analytics | API | Testing

Want a High-Paying Job? Try These 4 Best Free Coding Courses for (HTML, CSS, JavaScript)

This article highlights the best free coding courses that teach HTML, CSS, and JavaScript to help you build in-demand tech skills. It guides you toward high-paying job opportunities by showing you where to learn coding online without spending a lot.

QA Debt: The Silent Risk That Can Take Down Your Business

In engineering, we talk a lot about technical debt — the shortcuts and compromises made in code that pile up over time. But there’s another kind of debt that’s just as dangerous and far more invisible: QA debt. QA debt is what happens when testing isn’t given the same attention as features, architecture, or performance. It’s the accumulation of missed edge cases, outdated test suites, incomplete automation, or skipped regression checks.

Why Business Leaders Cannot Afford QA Delays

Every boardroom in any company that is transforming its systems should be asking the same question: How long before our next ERP release? When that timeline stretches because of QA delays, the consequences are not just technical – they are strategic. Release schedules slip, budgets escalate, and stakeholders begin to lose faith. Quality assurance is not merely a phase. It can be the difference between being a market leader and lagging.

Jest Mock: How To Mock A Provider In JavaScript Testing

Whether for frontend or backend, testing is a key aspect of building trustworthy JavaScript applications. For example, when writing code that relies on external modules or services such as APIs, databases, or configuration providers, mocking can allow for a more isolated testing structure without those real dependencies. If you are using Jest, one of the most popular JavaScript testing frameworks, then you may have seen the term mock.

APIs, SDKs, & iFrames: A Practical Guide to Embedded BI

Looking to embed analytics into your software? Your method of integration boils down to a key trade-off between cost, time, and customization. Book a demo and see how Yellowfin makes embedding analytics easy. As a software product owner, you already know that embedded analytics is a game-changer for delivering a great user experience and creating a truly data-driven user experience.

Nigeria's Open Banking: A Technical Blueprint for CIOs and CISOs

The launch of Nigeria's open banking era is a mandate that is rapidly moving from a regulatory concept to a technical requirement. For CIOs and CISOs of Nigerian banks, this shift presents both a significant compliance challenge and a strategic opportunity. The primary concerns are maintaining security while exposing customer data, understanding the specific technology needed, and ensuring the investment delivers ROI are paramount.

Mastering JavaScript for Performance: Proven Strategies, Tools, and Real Case Studies for Faster Websites

In the competitive world of web apps, **javascript for performance** is a strategic lever. Small changes in script behavior yield outsized benefits in speed, responsiveness, and user satisfaction. If you’re ready to take performance seriously, try LoadFocus to instrument and stress-test your JavaScript across real usage scenarios. You’ll see exactly which pieces of code slow you down—and how to fix them. Is Your Infrastructure Ready for Global Traffic Spikes?

Transforming Oil & Gas: How Qlik, Snowflake, and AWS Are Powering the Future with Generative AI and Unified Data

In a special session at Qlik Connect this past May in Orlando, attendees got to hear from three industry leaders - Dave Freriks from Qlik, Randy Pettus from Snowflake, and Sathisan Vannadil from AWS - all coming together to detail a cutting-edge integration of generative AI across the three different platforms. Their mission: help oil and gas companies harness the power of advanced data solutions to manage complexity, drive efficiency, and accelerate decision-making.

Testing AI with AI: strategies for validating Machine Learning Models

Artificial intelligence is becoming a core part of modern software. From fraud detection to recommendation systems, machine learning models are shaping business outcomes and user experiences. But with this progress comes complexity. Unlike traditional applications, AI systems don’t behave in predictable ways. They adapt, learn, and sometimes make mistakes that are hard to trace.