Operations | Monitoring | ITSM | DevOps | Cloud

This video reflects on the milestones, product enhancements, and customer outcomes that shaped 2025, while setting the direction for how Turbo360 continues to help teams manage Azure costs as cloud environments grow in scale and complexity.

Context engineering isn't just an AI buzzword. It's how high-performing dev teams are transforming productivity at scale. Chris Geoghegan, VP of Product at Zapier, breaks down why individual AI gains don't compound and what your team needs to do instead.In this GitKon session, learn how to.

Learn more at speedscale.com.

Testing with production traffic doesn't have to be a security risk. Engineers often avoid production data because of sensitive info like passwords, tokens, and PII. But legacy test data management is too static for modern, fast-changing payloads. Enter the Speedscale Streaming DLP Engine. It automatically detects and redacts sensitive data in real time as it's captured from your environment. You get the realism of production traffic without the risk of a data breach.

From our webinar: Scaling Autonomous Operations with Agentic AI Learn why manual service desks don’t scale and how autonomy actually works.