Systems | Development | Analytics | API | Testing

AI tools promise speed — but what does AI modernization actually mean in practice? In this video, learn how the best AI tools can accelerate application modernization without increasing risk. We cover how AI tools analyze large legacy codebases, support refactoring, and speed up modernization—when paired with expert human oversight. You’ll learn: Whether you’re exploring AI tools or already modernizing, this video shows how combining AI acceleration with experienced engineers leads to better outcomes.

For many, running generative AI over massive datasets has felt out of reach due to costs and slow processing times. Others settle for traditional ML techniques that require specialized skill sets and often deliver lower-quality results. With optimized mode for BigQuery AI functions, you can now get LLM-quality results at a fraction of the cost and at BigQuery speeds. In this video, we’ll show you how BigQuery uses model distillation and embeddings to process massive datasets, reducing query latency and token consumption.

KCP automatically generates custom Terraform modules, allowing you to provision your entire target infrastructure and networking in just a few minutes for Kafka migrations.

In this final video of our enterprise AI security series, we cover ClearML's monitoring and audit trail capabilities — the visibility layer that ties everything together. We walk through the platform's operational dashboards, task-level audit surfaces, cost attribution, and external integration points, showing how ClearML delivers live operations and compliance-ready audit out of the box.

Tired of waiting days for App Store review every time you need to ship a fix? In this video we break down how Over-the-Air (OTA) updates work for React Native apps and how Codemagic CodePush lets you push hotfixes, run experiments, and do controlled rollouts without touching the App Store or Google Play.

Discover the importance of optimization when operationalizing a data lakehouse for production workloads. We break down the journey of bringing a lakehouse into production—from choosing your data file format (Parquet) and table format (Iceberg) to plugging in your catalog and compute engines. Finally, learn why balancing ingestion jobs with critical table management services makes all the difference when moving beyond single-node workloads.

Make your Honeybadger Insights system dashboards dynamic with parameterized widget queries. In this walkthrough, Ben shows how to take a dashboard built from data reported by the Honeybadger CLI agent — load average, memory used, disk used across a fleet of hosts — and filter the whole view down to a single host with one parameter. What you’ll see: One dashboard, many views — no duplicate widgets, just a shareable URL.

Your pipeline is green. But do you actually know what you tested? Most teams don’t know what changed, what was covered, or what risk remains. That’s the gap Quality Intelligence solves. It turns test and engineering data into real, evidence-based confidence so you can release faster, with less risk. With Tricentis SeaLights, you can move from assumption to understanding. So you don’t just test more, you understand more!

"Every great invention takes time to reach its full potential. Just as the light bulb required a system to illuminate the world, artificial intelligence requires the foundation of process to reliably deliver value.".