Systems | Development | Analytics | API | Testing

Combining MCP Servers and LLMs with MS SQL Server simplifies database management with natural language queries, automation, and robust security. Here’s what you need to know.

In the fast-paced world of mobile engineering, the ability to move quickly is often hampered by the very tools meant to help us. While traditional mobile clouds provide essential scale and coverage, they are often optimized for standard, short-lived regression scripts that follow a predictable path.

Test automation frameworks are shaping how modern teams ship software in 2026. Automation alone is not enough anymore. The structure behind automation decides whether your tests scale or collapse under maintenance pressure. I’ve seen teams struggle when they invest in automation but lack a structured system. Let’s explore how test automation frameworks can make automation reliable and scalable.

The right AI tools make all the difference in QA testing AI has officially entered every corner of software testifng. The hard part now is figuring out which tools and features actually save time, speed releases, and (most importantly) improve quality outcomes. According to a recent survey from Test Guild, 72.8% of testers are prioritizing AI-powered QA for 2026. This includes tools that handle test planning, test management, test writing, and even analyzing test results. Contents Toggle.

Organizations invest in IT infrastructure with one expectation: results, delivered fast. But when deployments drag on, the fallout goes far beyond slipping timelines. Slow rollouts can erode ROI, heighten operational risk, and strain already‑stretched IT teams. They also keep organizations from innovating at the speed today’s market demands—and the true cost of those delays often isn’t obvious until performance starts to suffer.

When designing on-premises and cloud systems, you have to balance resilience, security, and scalability. But ultimately, what your organization and business leaders care about is the bottom-line: today’s costs and tomorrow’s risk. As a result, hybrid and multicloud strategies are often viewed as simply a backup or disaster recovery strategy, instead of a path to availability your applications and business operations can really count on.

With top-level Apache status, Polaris brings enterprise-grade governance and durability to the Iceberg catalog layer powering modern data platforms.

If you're already using an analytics tool today, here are seven questions that will reveal whether it’s still the right one, not just for insight, but for risk control and long-term scalability.

The preview of global queries in BigQuery lets you query data stored in different geographic locations with a single, standard SQL query, with no ETL.

The original promise of AI was that it would write most of the code for us. In reality, we’re not there yet. So where can AI meaningfully improve developer productivity today? In this post, we look at how AI powers development productivity across the SDLC, practical tools to use and frameworks for overcoming AI operationalization bottlenecks.