Operations | Monitoring | ITSM | DevOps | Cloud

AI infrastructure is entering a new phase – one where the biggest challenge may no longer be building better models, but building systems capable of feeding them. In this episode of Uplink, Michael Reid sits down with Renen Hallak, Founder and CEO of VAST Data, to explore the infrastructure realities behind the AI boom. From software-defined storage and GPU-scale architectures to neoclouds and agentic AI, this conversation dives deep into the systems powering the future of artificial intelligence.

In this episode of Get Kafka-Nated, host Hugh Evans is joined by Stanislav Kozlovski, Apache Kafka committer, independent consultant, and author of 2 Minute Streaming — a newsletter with over 7,000 subscribers. After six years at Confluent, including time on the Kafka Serverless team, Stan went independent and has been writing and consulting full-time. He's one of the most recognised voices in the Kafka community, with over 50k followers across social media. In this session we go somewhere the streaming industry rarely goes honestly: Kafka costs.

DORA metrics in the AI era reveal a paradox: PR volume is climbing, but deployment frequency is staying flat. In this talk, GitKraken's Director of Product Jeff Schinella breaks down why AI-accelerated code generation is creating a review bottleneck that your DORA metrics can't fully explain on their own. Jeff walks through how PR metrics (cycle time, first response time, code churn, and PR size) serve as the leading indicators behind your DORA data. If your deployment frequency is flat while PR counts go up, the bottleneck isn't your devs. It's your review capacity.

Investigations are time-sensitive, and analysts shouldn’t waste time recreating the same workflows or rewriting familiar queries. Whether troubleshooting infrastructure, investigating suspicious IPs, or analyzing host activity, teams often rely on duplicating old processes and copying query snippets — a slow, inconsistent approach that’s hard to scale.

This example hows how to use Harness CI/CD to build a Cobol application and deploy it to a mainframe running z/OS. We leverage IBM DBB and Wazi Deploy in this example.

Alloy Navigator Express 2026 is here! It now includes built-in dashboard analytics, enhanced reporting, a smarter AI Assistant, Outlook integration, and more. See the latest updates in action!

See the highlights of the latest Alloy Navigator release, the all-in-one ITSM and ITAM solution for modern IT teams. Built-in dashboard analytics, enhanced reporting, a smarter AI Assistant, and Outlook integration help you work faster, collaborate better, and make data-driven decisions with ease.

How do enterprises turn AI from experimental potential into real-world software delivery value — without slowing down, breaking security, or sacrificing reliability? At {unscripted} 2025, Amit Zavery — President, Chief Product Officer, and COO of ServiceNow — joined Harness CEO and Founder Jyoti Bansal for a candid fireside chat on the future of AI in the enterprise, the role of platforms in unlocking developer productivity, and why"AI-native" only works when speed, security, and reliability move together.

Deployments that need multiple reboots shouldn't need a technician hovering over them the whole time. But for most teams, that's exactly what happens — you kick off a job, walk away, and come back to find it stalled halfway through waiting for something nobody handled. Product Manager, Dan Myers, joins this stream to show how these new updates changes enterprise-scale provisioning and deep OS deployments, making your automation smarter than ever before. What you'll learn.

As organizations work to bring humans, agents, and automation together, teamwork is getting even more complex. If your AI strategy feels like a collection of one-off experiments layered onto disconnected tools and siloed knowledge, join Atlassian leaders to see how Teamwork Collection brings together Jira, Confluence, Loom, and Rovo into a connected foundation for human-AI collaboration at scale.