Articles

Load testing a signup API revealed three hidden bottlenecks, emphasizing the need for performance optimization in software development.

After spending $4,587 yearly on AWS and Google Cloud, the author decided to migrate 50 projects to Hostinger VPS, achieving a substantial cost reduction.

When AI answers come from your data, testing must ensure they come from the right data — and nothing else.

Discover the importance of software testing and how to balance fast unit tests with complex end-to-end journeys using Playwright. Learn about the future of the industry and how AI-powered agents can help you author stable, auto-healing tests.

As a designer, I would focus on creating a seamless and secure account creation process for Avana, ensuring users' identities are verified efficiently and effectively.

Every year, millions of Americans receive a cancer diagnosis, but a new approach is rewriting the rules of cancer treatment. OncoDxRx's PGA Assay is using RNA analysis to provide a more accurate and non-invasive way to detect cancer.

Most teams assume they can recover from a major outage, but disaster recovery testing is what separates assumed resilience from proven recovery. It evaluates recovery time objective, recovery point objective, and operational readiness.

Stop translating for your stakeholders and launch natural-language querying on top of any DuckDB database with this simple integration guide.

Testing your Express API is crucial for ensuring it works as expected. In this guide, we'll cover how to test your API using Jest and Supertest, including routes, database mocking, authentication, and CI/CD integration.

As AI systems become increasingly sophisticated, they also become more vulnerable to word-based attacks. To protect these systems, it's essential to test their security and implement best practices to prevent jailbreaks.

As I delve into software quality assurance and test automation, a layered testing approach has caught my attention. This method involves combining various testing tools and frameworks to ensure comprehensive testing.

Designing systems around data flow, transformation, and coordination is a key aspect of software architecture. In this approach, data is processed through a pipeline or broker, enabling efficient and scalable system design.