Systems | Development | Analytics | API | Testing

Building the Agentic AI Developer Platform: A 5-Pillar Framework

The agentic era is here, and it's exposing a critical gap in enterprise infrastructure. AI agents are no longer experimental. As many as 9 out of 10 enterprise organizations are actively adopting AI agents. Agents are making autonomous decisions, orchestrating complex workflows, and interacting with dozens of services in real time.

What You Need to Know About PHP Certifications

In this video, Adam Culp, Manager of Professional Services at Perforce Zend, explains why validating your skills via a PHP certification can be an essential investment for modern developers and organizations. Earning a PHP certification (such as the Zend PHP Certification) can help ensure that you and your team are aligned with industry standards and capable of delivering reliable, high-quality code. The exam covers critical topics through PHP 8.4, including object-oriented programming, security, and error handling.

Everything you need to know about Ruby 4.0

Ruby 4.0 is a major release, launched on Ruby’s 30th anniversary (December 25, 2025) to celebrate three decades of the community, not due to major breaking changes. I was surprised to learn that Ruby doesn’t actually follow semantic versioning! Instead, Matz (Ruby’s creator) increases the major version when changes impress him. This version marks 30 years of Ruby and introduces features to extend the language.

API Product Management Guide: 6 Strategies for the Full Lifecycle

As APIs evolve into the strategic connective tissue of digital products and AI, organizations often fail to unlock their value due to a critical misalignment between business goals and technical execution. To transform APIs into genuine growth levers, enterprises must embrace full-lifecycle API product management, prioritizing upfront strategy, robust contract design, and scalable developer experiences over mere endpoint creation.

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.

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.

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.

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.

Scaling REST APIs for High-Volume Databases | DreamFactory

Scaling REST APIs for databases with heavy traffic requires careful planning to ensure fast, reliable performance. Here’s the gist: -Stateless Design: APIs should process requests independently, enabling horizontal scaling and efficient load balancing. -Caching: Use client-side, server-side, and CDN caching to reduce database strain and improve response times. -Optimized Queries: Fine-tune database queries, use indexes, and implement pagination to handle large datasets effectively.