As it rolled out AI and AIOps, Salesforce shunned the cloud repatriation route and instead expanded its public cloud presence with Hyperforce. Paul Constantinides, an engineering leader at Salesforce for more than 21 years, currently leads engineering for Hyperforce. In this episode, he details the evolution of the Salesforce internal platform over the years, what was behind the decision to launch Hyperforce, his team's extensive use of AIOps and his "NoOps" goals in the age of AI agents.

PROGRAMMING NOTE: IT Ops Query will be on a holiday break the next two weeks, returning Jan. 8 with all-new episodes.

Featuring: Paul Constantinides, executive vice president of engineering, Salesforce

In today’s episode, we’ll cover…

• Trust as a core value in infrastructure management at scale
• How cloud-native principles improve resilience for AI applications
• How internally developed AIOps tools perform automate incident remediation and response
• The role for human engineers in a NoOps future

and more!

References:

• What Salesforce’s AI agents can do for nonprofits
• A+E Global Media boosts AIOps with deterministic AI
• GenAI tools set to exceed past waves of AI automation
• Salesforce workflow automation tools, Hyperforce debut

To learn more about software development and platform engineering, check out Search IT Operations.

To watch clips from our podcast, subscribe to our YouTube channel, @EyeOnTech.

Rob Hirschfeld is the CEO and co-founder of RackN, founded in 2014, focused on "addressing the messy challenge of operating at scale in physical data centers," according to his LinkedIn profile. Hirschfeld has had a front-row seat to the last decade of conversations in enterprise IT ops about bare-metal server operations and cloud repatriation, topics that remain hot as some enterprises look to move AI inference workloads on-premises.

Featuring: Rob Hirschfeld, CEO and co-founder of RackN

In today’s episode, we’ll cover…

• The recent history of cloud repatriation
• The VMware factor in enterprise bare metal decisions
• How generative AI workloads change the dynamics of self-hosted infrastructure for enterprises
• Why going back to self-hosted infrastructure in 2025 doesn't mean going back to 2005 IT management practices

and more!

References:

• AWS AI Factories target hybrid cloud AI infrastructure | TechTarget
• Top 9 bare-metal cloud providers of 2025
• New VMware private AI infrastructure rethinks Tanzu, again
• Cloud repatriation vs. multi-cloud: IT seeks cost relief

To learn more about software development and platform engineering, check out Search IT Operations.

To watch clips from our podcast, subscribe to our YouTube channel, @EyeOnTech.

Yuval Fernbach has more than a decade of hands-on experience in the realm of data and machine learning, and served as the co-founder and CTO of Qwak from 2020 until it was acquired by JFrog in 2024. Fernbach is now vice president and CTO of JFrog ML, a subset of the JFrog software supply chain management toolset focused on AI and machine learning operations, or MLOps. In this interview, he discusses the unique challenges generative AI poses in software supply chain security, and what enterprise developers and platform engineers need to know about this new frontier in technology.

Featuring: Yuval Fernbach, vice president and CTO of JFrog ML

In today’s episode, we’ll cover…

• Increased risks and governance issues due to generative AI's widespread use among software engineers
• JFrog's platform extensions for managing AI models and Shadow AI detection
• The importance of maturing AI adoption practices
• JFrog Fly, an agentic artifact repository designed for small teams

and more!

References:

• JFrog integrates with Hugging Face, Nvidia; intros JFrog ML
• JFrog extends DevSecOps playbook to AI governance
• JFrog connects key software supply chain management dots
• JFrog buy bolsters MLOps combo with DevSecOps

To learn more about software development and platform engineering, check out Search IT Operations.

To watch clips from our podcast, subscribe to our YouTube channel, @EyeOnTech.