Systems | Development | Analytics | API | Testing

How to Integrate Monitoring Tools with Microservices

Monitoring microservices is challenging but essential for maintaining system performance and reliability. Unlike traditional applications, microservices require tracking individual services, their interactions, and the infrastructure they run on. Here's what you need to know: To succeed, instrument your services early, set clear Service Level Objectives (SLOs), and ensure your tools scale with your architecture.

How to Use GenAI to Build Load Test Scripts in Apache JMeter | Sandeep Garg

This demonstration shall suggest those baby steps that should encourage most of us (the testers) to inculcate the habit of exploring* GenAI and LLMs. The exploration shall help understand why, what, where, when and how we should use these rapidly moving technologies to bring efficiency and better thinking in our day-to-day testing work.

How To Improve DORA Metrics In Modern DevOps Pipelines

Today, software is produced at lightning speed, but speed without quality can create chaos in production. That’s why high-performing teams rely on DORA metrics to assess the speed and efficiency at which they are delivering their changes, while still being able to maintain a stable environment. The DORA metrics can allow engineers to take their software delivery process and convert it from an "on-demand" to a "data-driven" model.

REST API Generator for Quick Development

Creating a RESTful API from scratch can be a tedious task, especially when you're juggling tight deadlines or multiple projects. That's where a tool like our REST API Generator comes in handy. It takes the grunt work out of building endpoints by automating the process, letting developers focus on what matters—crafting great applications. Simply provide your database schema or a JSON outline, select a framework, and watch as fully functional CRUD operations are created for you.

YAML vs JSON: Which Format Fits OpenAPI Better?

YAML is often the better choice for OpenAPI specifications due to its readability and ease of manual editing. It uses indentation instead of braces and brackets, supports inline comments with #, and handles multi-line text more naturally. This makes YAML easier to maintain and understand, especially for teams collaborating on API documentation. However, JSON has its strengths too. Its strict syntax ensures precision, making it ideal for automated workflows and machine-driven processes where speed matters.

AI Maturity and Adoption Across U.S. States in 2026

AI isn’t something we’re waiting for anymore. It’s already here. Every time you check directions, talk to your phone instead of typing, or unlock your device with your face, AI is doing the work in the background. The same shift is happening inside organizations. Companies and government agencies are using AI to answer questions faster, cut down manual tasks, support their teams, and improve how they serve people. But the real question is, Are U.S.

Preparing for Agentic AI: Top Trends in Data and AI 2026 | Feat. Paul Baier

In 2026, the gap between companies "testing" AI and companies "running" on AI has become a chasm. In this segment of The Data Chief, Paul Baier, CEO and Co-Founder of @GAIInsights, explains why the honeymoon phase of Generative AI is over and the era of Agentic AI has officially arrived. Paul breaks down how leading enterprises are pulling ahead by moving beyond simple chatbots to autonomous agents that can plan, reason, and execute complex workflows. If you want to know how to reshape your enterprise operating model to stay competitive, this is the field guide you’ve been looking for.