In this workshop, you’ll see how AI agents can reason over telemetry data, detect AWS infrastructure issues, and trigger automated remediation to keep your systems healthy and resilient.

⚠️ Important: to attend, you MUST register at https://www.honeycomb.io/go/honeycomb-aws-pulumi-ai-agents-workshop

Speakers:

• Liz Fong-Jones, Field CTO at Honeycomb
• Marina Novikova, Senior Solutions Architect at AWS
• Engin Diri, Senior Solutions Architect at Pulumi

Join us to learn:

• How to stream telemetry from Honeycomb to detect #AWS issues
• How Neo, Pulumi's AI Infrastructure agent, automates remediation workflows
• How to build a closed-loop system for intelligent cloud operations

⚠️ Don’t forget: You must register to attend: https://www.honeycomb.io/go/honeycomb-aws-pulumi-ai-agents-workshop Explore more workshops here: https://pulumip.us/UpcomingWorkshops

In this workshop, you’ll see how AI agents can reason over telemetry data, detect AWS infrastructure issues, and trigger automated remediation to keep your systems healthy and resilient.

⚠️ Important: to attend, you MUST register at https://www.honeycomb.io/go/honeycomb-aws-pulumi-ai-agents-workshop

Speakers:

• Liz Fong-Jones, Field CTO at Honeycomb
• Marina Novikova, Senior Solutions Architect at AWS
• Engin Diri, Senior Solutions Architect at Pulumi

Join us to learn:

• How to stream telemetry from Honeycomb to detect #AWS issues
• How Neo, Pulumi's AI Infrastructure agent, automates remediation workflows
• How to build a closed-loop system for intelligent cloud operations

⚠️ Don’t forget: You must register to attend: https://www.honeycomb.io/go/honeycomb-aws-pulumi-ai-agents-workshop Explore more workshops here: https://pulumip.us/UpcomingWorkshops

In this workshop, you’ll see how AI agents can reason over telemetry data, detect AWS infrastructure issues, and trigger automated remediation to keep your systems healthy and resilient.

⚠️ Important: to attend, you MUST register at https://www.honeycomb.io/go/honeycomb-aws-pulumi-ai-agents-workshop

Speakers:

• Liz Fong-Jones, Field CTO at Honeycomb
• Marina Novikova, Senior Solutions Architect at AWS
• Engin Diri, Senior Solutions Architect at Pulumi

Join us to learn:

• How to stream telemetry from Honeycomb to detect #AWS issues
• How Neo, Pulumi's AI Infrastructure agent, automates remediation workflows
• How to build a closed-loop system for intelligent cloud operations

⚠️ Don’t forget: You must register to attend: https://www.honeycomb.io/go/honeycomb-aws-pulumi-ai-agents-workshop Explore more workshops here: https://pulumip.us/UpcomingWorkshops

In this workshop, you’ll see how AI agents can reason over telemetry data, detect AWS infrastructure issues, and trigger automated remediation to keep your systems healthy and resilient.

⚠️ Important: to attend, you MUST register at https://www.honeycomb.io/go/honeycomb-aws-pulumi-ai-agents-workshop

Speakers:

• Liz Fong-Jones, Field CTO at Honeycomb
• Marina Novikova, Senior Solutions Architect at AWS
• Engin Diri, Senior Solutions Architect at Pulumi

Join us to learn:

• How to stream telemetry from Honeycomb to detect #AWS issues
• How Neo, Pulumi's AI Infrastructure agent, automates remediation workflows
• How to build a closed-loop system for intelligent cloud operations

⚠️ Don’t forget: You must register to attend: https://www.honeycomb.io/go/honeycomb-aws-pulumi-ai-agents-workshop Explore more workshops here: https://pulumip.us/UpcomingWorkshops

The rapid expansion of data centers is reshaping the industry, requiring new approaches to design, safety, and leadership. 

We’re excited to have Doug Mouton, former Senior Eng Lead, Datacenter Design Engineering and Construction at Meta, as a guest on this latest episode of the “Data Center Revolution” podcast. Doug joins us with key insights into leadership, adaptability, and the evolution of hyperscale data-center construction. He also shares his journey from military service to leading large-scale infrastructure projects in the data center industry, highlighting key transferable skills along the way. 

Key Takeaways:

(07:54) Military mindset builds strong leaders. (14:25) Veterans thrive in high-pressure environments. (25:32) Katrina exposed disaster preparedness gaps. (35:16) Microsoft shifted to cost-effective data center designs. (43:56) Data centers face growing energy challenges. (54:26) Safety-first culture boosts efficiency and morale. (01:21:43) Data centers must transition to hybrid cooling solutions. (01:42:09) AI needs ethical guardrails.

Resources Mentioned:

Fidelis New Energy | Website - https://www.fidelisinfra.com

Microsoft Azure - https://azure.microsoft.com/en-us/

Meta - https://about.meta.com/

Jacobs - https://www.jacobs.com/

National Guard - https://nationalguard.com/

Jones Lang LaSalle - https://www.us.jll.com/

Thank you for listening to “Data Center Revolution.” Don’t forget to leave us a review and subscribe so you don’t miss an episode.   To learn more about Overwatch, visit us at https://linktr.ee/overwatchmissioncritical 

DataCenterIndustry #NuclearEnergy #FutureOfDataCenters #AI

Data Chronicles - From Mesh to AI and Everything In Between (Episode 2)

In the second episode of our monthly series, "Data Chronicles: From the Mesh to AI and Everything in Between," we dive deep into the crucial role of "Data Contracts" in today's data-driven landscape. Join us on August 28th as Andrew Jose, a leading expert and data contracts guru, unpacks how these agreements are essential for ensuring data integrity and consistency across complex systems. Discover how effective data contracts establish clear expectations between data producers and consumers, enabling seamless integration and fostering trust. Hosted by the dynamic Amy Raygada, this episode will also explore the vital importance of data quality in supporting AI initiatives and driving informed decision-making. Don't miss this opportunity to learn from industry leaders about the strategies for leveraging data contracts to enhance data reliability and organizational success!

Hosts: Amy Raygada, CEO & Founder, Cosmodata Strategy & Management Andrew Jones, Principal Engineer, Go Cardless

Andrew's Bio: Andrew Jones is a Principal Engineer at GoCardless, one of Europe's leading FinTechs. He has over 15 years’ experience in the industry, with the first half primarily as a software engineer before moving into the data infrastructure and data engineering space. Joining GoCardless as its first data engineer, he led his team to build their data platform from scratch. After initially following a typical data architecture and getting frustrated with facing the same old challenges we’ve faced for years, he started thinking there must be a better way, which led to him coining and defining the ideas around “data contracts”. Andrew is a regular speaker and writer and passionate about helping organizations get the most value from data.

⭐️ Creating great products is much more than simply hiring and training great product managers, designers, and engineers. It involves how work is organized and completed at every level within a company. Learn it from the hand of Chris Jones.

⏰ Schedule (CET) 17:00 - 17:05 Intros 17:05 - 18:00 Presentation and Q&A

✨ About the Organizers We are on a mission to help companies discover and deliver great products faster. We do this by empowering our community to share knowledge generously. And through our consulting engagements, we do all the hands-on and unglamorous work of a Product Manager on an Interim basis (3-12 months). We onboard fast, align teams, and deliver outcomes. 😉

👋 Join the conversation on Telegram 📲 Connect with us on LinkedIn 📺 Watch our previous talks here 🚀 Would you like to attend one of our in-person events? Check the calendar here 💌 Don't forget to subscribe to our newsletter to be up-to-date with the latest Product News. 🤩 Step Up: Do you want to speak at our next events? Email [email protected]

Observability is critical for building, changing, and understanding the software that powers complex modern systems. Teams that adopt observability are much better equipped to ship code swiftly and confidently, identify outliers and aberrant behaviors, and understand the experience of each and every user. This practical book explains the value of observable systems and shows you how to practice observability-driven development. Authors Charity Majors, Liz Fong-Jones, and George Miranda from Honeycomb explain what constitutes good observability, show you how to improve upon what you're doing today, and provide practical dos and don'ts for migrating from legacy tooling, such as metrics, monitoring, and log management. You'll also learn the impact observability has on organizational culture (and vice versa). You'll explore: How the concept of observability applies to managing software at scale The value of practicing observability when delivering complex cloud native applications and systems The impact observability has across the entire software development lifecycle How and why different functional teams use observability with service-level objectives How to instrument your code to help future engineers understand the code you wrote today How to produce quality code for context-aware system debugging and maintenance How data-rich analytics can help you debug elusive issues

Learn SQL Server Administration in a Month of Lunches is the perfect way to get started with SQL Server operations, including maintenance, backup and recovery, high availability, and performance monitoring. In about an hour a day over a month, you'll learn exactly what you can do, and what you shouldn't touch. Most importantly, you'll learn the day-to-day tasks and techniques you need to keep SQL Server humming along smoothly. About the Technology About the Book Microsoft SQL Server is used by millions of businesses, ranging in size from Fortune 500s to small shops worldwide. Whether you're just getting started as a DBA, supporting a SQL Server-driven application, or you've been drafted by your office as the SQL Server admin, you do not need a thousand-page book to get up and running. Learn SQL Server Administration in a Month of Lunches is the perfect way to get started with SQL Server. This concise, easy-to-read book skips academic introductions and teaches you day-to-day techniques for maintenance, backup and recovery, performance monitoring, and more. Each of the 21 short lessons gives you practical takeaways you'll use over and over. What's Inside Master the basics—ndexes, logins, backup, recovery... and more Learn what you can and cannot do when supporting a third-party application Monitor and improve performance Written by expert trainer and bestselling author Don Jones About the Reader About the Author Don Jones is a Microsoft MVP, speaker, and trainer. He is the creator of the Month of Lunches series and author of over 50 books on PowerShell, IIS, Active Directory, SCCM, SQL Server, and more. Quotes Concise and easy to understand, even on the most challenging topics. - Spike Xavier, Transmission IT, LLC Don has written another gem equal to his PowerShell titles. - Carm Vecchio, Computer Science Corporation (CSC) The essentials of SQL Server Administration, distilled into a friendly format. - Adam M Dutko, RunByMany, LLC Extremely useful for anyone managing or trying to manage SQL Server. - Maqbool Patel, PhD, MEDHOST Contains all the steps needed to become a professional DBA. - Ian Stirk, Stirk Consultancy, Ltd

“ explains the concepts and practice of data modeling with a clarity that makes the technology accessible to anyone building databases and data-driven applications. A Developer’s Guide to Data Modeling for SQL Server “Eric Johnson and Joshua Jones combine a deep understanding of the science of data modeling with the art that comes with years of experience. If you’re new to data modeling, or find the need to brush up on its concepts, this book is for you.” — Peter Varhol, Executive Editor, Redmond Magazine Model SQL Server Databases That Work Better, Do More, and Evolve More Smoothly Effective data modeling is essential to ensuring that your databases will perform well, scale well, and evolve to meet changing requirements. However, if you’re modeling databases to run on Microsoft SQL Server 2008 or 2005, theoretical or platform-agnostic data modeling knowledge isn’t enough: models that don’t reflect SQL Server’s unique real-world strengths and weaknesses often lead to disastrous performance. is a practical, SQL Server-specific guide to data modeling for every developer, architect, and administrator. This book offers you invaluable start-to-finish guidance for designing new databases, redesigning existing SQL Server data models, and migrating databases from other platforms. A Developer’s Guide to Data Modeling for SQL Server You’ll begin with a concise, practical overview of the core data modeling techniques. Next, you’ll walk through requirements gathering and discover how to convert requirements into effective SQL Server logical models. Finally, you’ll systematically transform those logical models into physical models that make the most of SQL Server’s extended functionality. All of this book’s many examples are available for download from a companion Web site. This book enables you to Understand your data model’s physical elements, from storage to referential integrity Provide programmability via stored procedures, user-defined functions, triggers, and .NET CLR integration Normalize data models, one step at a time Gather and interpret requirements more effectively Learn an effective methodology for creating logical models Overcome modeling problems related to entities, attribute, data types, storage overhead, performance, and relationships Create physical models—from establishing naming guidelines through implementing business rules and constraints Use SQL Server’s unique indexing capabilities, and overcome their limitations Create abstraction layers that enhance security, extensibility, and flexibility