Systems | Development | Analytics | API | Testing

3 proven ways to streamline SAP and Oracle migrations for state & local governments

State and local governments are under growing pressure to modernize the systems that power essential services, from healthcare and human services to transportation and public safety. At the same time, citizens expect fast, seamless digital experiences when interacting with government agencies. To meet these expectations, many agencies are investing in large-scale ERP transformations, including SAP and Oracle migrations.

New report: We're adopting AI faster than we trust it. Here's what the data shows.

We surveyed 2,501 IT decision-makers, QA professionals, and business leaders across six countries for our second annual Quality Transformation Report. Respondents came from organizations with 150-plus employees across manufacturing, energy and utilities, retail, financial services, and the public sector. One of the major findings: confidence in AI agents making release decisions dropped from 48% in 2025 to 34% in 2026. That’s a 14-point decline in a single year.

The most reliable Mac fleet for GitHub Actions: M4 Pro available now

Apple didn't announce the M5 Pro at WWDC, and the M4 Pro Mac Mini industry shortage isn't going anywhere either. Neither should affect your CI. Apple pulled the base model from its store and discontinued the 32GB config. What's still available ships in weeks with some configs months out. Resellers are asking $979 for $599 machines and Tim Cook confirmed the constraints will last several more months.

Before Moving Your Data, Ask If You Have To

If you’re a data engineer or architect who’s been handed a database modernization mandate, the conversation usually arrives pre-loaded with a conclusion. For example, if the legacy system needs to go or the data needs to move. When thinking about data migration, it’s important to ask yourself whether data migration is the right approach at all.

Gherkin Software Testing: Syntax, Best Practices, and Pitfalls

Gherkin software testing turns plain-English specifications into executable tests your whole team can read, but only when you stop treating it like a scripting language. If your feature files read like step-by-step UI scripts, you're doing BDD testing backward. Here's how to fix that.

Introducing Agentic Warehouse and Reliable Analytics Powered by Centerprise AI

Centerprise AI combines agentic warehouse construction, governed data pipelines, and conversational analytics in a single platform, eliminating the multi-tool sprawl that has slowed enterprise data teams for years. Centerprise AI’s agentic data warehouse and analytics module take organizations from raw source data to live analytics dashboards through a conversational interface.

Logs told me something broke. Traffic showed me what.

Here’s a problem I run into constantly: something breaks in production, I can see the 500 errors in my logs, but I can’t reproduce it locally. The trace shows me the dependency graph but not the actual request that failed. This is especially painful in microservices. I was looking at a CNCF example the other day (a simple demo app, like 4 pods) and it already had so many cross-service dependencies that understanding what broke required looking at the whole system at once.