Systems | Development | Analytics | API | Testing

S1.E7: What is quality engineering? | QA Therapy Podcast

Today, we're joined by our expert QA Therapist, Antoine Craske, who's here to diagnose and prescribe solutions for symptoms related to Quality Engineering. Hailing from France and working as a Software Engineer at La Redoute, Antoine brings a wealth of experience to the table. He emphasizes that quality isn't the responsibility of just one person or team; it's a collective company goal. To achieve this, leveraging tools is essential.

Resque v Sidekiq for Ruby Background Jobs Processing

Background job processing is integral to modern software architecture. Background jobs allow resource-intensive tasks to be handled asynchronously, improving your application’s responsiveness and efficiency. You can use background processing for tasks such as sending emails, data processing, and batch jobs. If you were to run these synchronously, they could significantly degrade the user experience and system performance. Thus, most frameworks have libraries for running background jobs.

Creating an Oracle API in Minutes with DreamFactory

Handwriting code for database APIs can be a time consuming and expensive process that often exposes organizations to a variety of risks relating to quality, consistency, and developer effort. DreamFactory specialises in REST API generation for a range of databases that gives you the ability to generate a secure, fully documented API in minutes.

Navigating Django Logging: From Basics to Best Practices

Django is designed to be secure by default, which means that its got a number of featured out of the box to protect against common Web vulnerabilities, including SQL injection, cross-site scripting (XSS), and cross-site request forgery (CSRF). Its extensive documentation, active community, and strong ecosystem of reusable apps and libraries make it a common choice for developers looking to create scalable and maintainable Web applications.

Build Sustainable Test Suites

High-performing teams don’t have large test suites. They have small, focused test suites. They make the most of their limited resources. Ideally, you would have extensive test suites for maximum coverage. But most teams don’t have the resources needed to maintain that level of tests and evaluate their results properly. @Titus Fortner, Senior Developer Advocate at @Sauce Labs, encourages testers to advocate for themselves and their teams. He says it’s important to call out when the testing managers' requests are unsustainable and instead focus their efforts on what’s most important.

Autoscaling GA: Scale Fast, Sleep Well, Don't Break the Bank

We are thrilled to kickstart this first launch week with autoscaling - now generally available! Our goal is to offer a global and serverless experience for your deployments. Autoscaling makes this vision a reality. Say goodbye to overpaying for unused resources and late-night alerts for unhealthy instances or underprovisioned resources! During the autoscaling public preview, we received key feedback around scaling factors.

Generative AI vs Predictive AI: Knowing the Differences

Generative AI has received the lion’s share of the press. With good reason—it’s revolutionizing the way we do work and do business. But it’s not the only game in town. Predictive AI also places a role across enterprise use cases like demand forecasting, maintenance, and customer experience. This blog will discuss these two types of AI: generative AI and predictive AI.

White Box Testing: All You Need To Know

White box testing is a testing method where testers evaluate the quality of a system with full knowledge of its internal structures. Here, the testers have access to the system's source code and understand how it operates internally. They know not only what the software does but also how it achieves those results. In this article, we’ll learn more about white box testing in-depth, the common techniques used, and white box testing best practices.

How to Turn a REST API Into a Data Stream with Kafka and Flink

In the space of APIs for consuming up-to-date data (say, events or state available within an hour of occurring) many API paradigms exist. There are file- or object-based paradigms, e.g., S3 access. There’s database access, e.g., direct Snowflake access. Last, we have decoupled client-server APIs, e.g., REST APIs, gRPC, webhooks, and streaming APIs.