Operations | Monitoring | ITSM | DevOps | Cloud

EP3: Clarity or Clutter? AR in the Data Center w/ Ismar Efendic

In this episode of the Hyper Views podcast, join us for an insightful conversation with Ismar Efendic, the Co-founder and CTO of ⁠⁠DC SMARTER⁠⁠. Together with our CTO, Rami Jebara, they delve deep into the revolutionary impact of Augmented Reality (AR) in the data center industry. Explore how AI and AR play pivotal roles in addressing today's challenges such as talent shortage, edge growth, security, and compliance. Additionally, they highlight the importance of situational awareness, quick response times, and an agile infrastructure in data center operations.

How Autodesk engineers better service and own their infrastructure.

Morgan Goose, Autodesk, shares how he and his team have democratized observability and made it a default offering for all their engineers. Autodesk is a global leader in software for people who design and make the world. That includes software for architects, builders, engineers, 3D artists, and production teams. To ensure the best customer experience, Autodesk has partnered with Datadog and is taking advantage of products like DBM to quickly identify and maintain the systems they instrument.

What are Suggested Summaries?

In this clip of The Debrief, Milly explains what Suggested Summaries are and how they can be a huge benefit for teams. Recently we went live with one of our biggest product launches to date AI. And this product was unique in that it was broken up into four smaller projects: So naturally most folks might be wondering: What were the biggest differences between these projects and what went into actually building out each of these features?

Why is prompt engineering so hard?

In this clip of The Debrief, Milly explains the challenges of prompt engineering. Recently we went live with one of our biggest product launches to date AI. And this product was unique in that it was broken up into four smaller projects: So naturally most folks might be wondering: What were the biggest differences between these projects and what went into actually building out each of these features?

Why aren't incident responders updating summaries more frequently?

In this clip of The Debrief, Milly explains why incident responders don't update summaries as frequently as they should. Recently we went live with one of our biggest product launches to date AI. And this product was unique in that it was broken up into four smaller projects: So naturally most folks might be wondering: What were the biggest differences between these projects and what went into actually building out each of these features?

How we built Suggested Summaries

In this clip of The Debrief, Milly walk through how the incident.io team actually built out our latest AI feature: Suggested Summaries Recently we went live with one of our biggest product launches to date AI. And this product was unique in that it was broken up into four smaller projects: So naturally most folks might be wondering: What were the biggest differences between these projects and what went into actually building out each of these features?