Systems | Development | Analytics | API | Testing

Today’s complex, dynamic applications demand rigorous resilience testing. A common hurdle is accurately mimicking real user behavior. This post discusses a possible solution: production traffic replication (PTR), a technique that captures actual user interactions to enhance chaos testing, and the principle of intentionally introducing failures to evaluate application recovery.

System testing is like the ultimate test drive for your software. Before the app hits production, you need to ensure every feature works as promised, every component plays nicely together, and nothing breaks under pressure. That’s where system testing shines. In this article, we’ll explore everything you need to know about system testing: what it is, why it’s essential, the processes, techniques, and best practices.

Keboola, the self-service data management platform, develops a comprehensive platform that simplifies Environmental, Social and Governance (ESG) data management. It automates data collection, monitors key performance indicators (KPIs), and provides real-time insights across all client entities. By replacing manual processes, it ensures precision, uniformity, and adherence to ever-changing regulations.

Artificial Intelligence promises to transform lives and business as we know it. But what does that future look like? The AI Forecast: Data and AI in the Cloud Era, sponsored by Cloudera, aims to take an objective look at the impact of AI on business, industry, and the world at large.

In the fast-evolving world of data analytics and data models/machine learning applications, the power of a well-structured ETL (Extract, Transform, Load) pipeline cannot be overstated. Data analysts in mid-market companies often grapple with transforming large data sets from disparate data sources into actionable insights. Here’s where ETL platforms like Integrate.io emerge as the unsung heroes, simplifying complexities with low-code and scalable solutions.

We talked a bit about the Software Development Life Cycle (SDLC) in a recent post, but today, we’re going to dig a little deeper into one particular and crucial element in the testing phase, particularly for Agile development: regression testing.

With the rise of AI-driven tools, the debate of ‘ChatGPT vs Copilot’ has become central for developers seeking productivity boosts in coding and testing. In this blog, we will dive into the key features, strengths, limitations, and use cases of these tools to help you understand their differences and make an informed decision on which one suits your programming needs the most. So, let’s get started!

The development team often implements features that do not fully address the customer's needs, leading to rework, increased costs, and delayed project timelines.

Systems built on a solid foundation ensure a great user experience, performance, and business success. The right integration testing approach is essential to achieving this strong foundation.