IT Ops Query

Enterprise service management platform vendor ServiceNow has been one of the most assertive in the industry in developing its AI agent products over the past 14 months. Our guest, Dorit Zilbershot, has been with ServiceNow for six years, serving in various product management leadership roles focused on AI. In this interview, she shares recent ServiceNow AI model development news with Nvidia, how enterprise AI agent adoption has developed in 2025, and how IT organizations can get past the 'trough of disillusionment' with agents. Featuring: Dorit Zilbershot, Group Vice President of AI Experiences & Innovation, ServiceNow In today’s episode, we’ll cover… ServiceNow and Nvidia's Apriel 2.0 Which IT discipline has led AI adoption this year The connection between AI project failures and governance and more! References: ServiceNow shops share AI copilot results, prep for agents ServiceNow expands AI governance, emphasizes ROI ServiceNow makes the case to users for AI management How AI governance manages risk at scale for enterprises   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.  

Observability and security company Cribl has had a front-row seat to the rise of generative AI, AI agents, and their impact on data management in IT. The company, which grew from log management into federated search, a data pipeline, a data lake, and a cloud-based managed service, also expanded its product offerings this week with notebooks for observability experts, a Model Context Protocol server, and support for bring-your-own-AI. Its co-founder and CEO joined us for a discussion about this week's news, his perspective on how AI will continue to influence the industry, and whether we're in an AI bubble. Featuring: Clint Sharp, co-founder and CEO, Cribl In today’s episode, we’ll cover… AI data management challenges and opportunities The state of the Model Context Protocol standard Cribl Notebooks vs other data science notebooks and more! References: Cribl positions for IPO with $319M in latest funding round Post-lawsuit, Splunk and Cribl meet again in data pipelines NetApp adds AI Data Engine, expands Nvidia partnership Hybrid data management strategy for enterprise AI success 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.

Alexis Richardson co-founded a company in 2014 called Weaveworks, which created an open source GitOps project called Flux CD. In February, the company ceased operations, despite having gained new customers in 2023. Among the events that precipitated the closure of the business were acquisition talks with a larger company that fell through "at the 11th hour," according to a post by Richardson on LinkedIn. Weaveworks is one example of a company associated with a flourishing open source project – Flux CD continues under the CNCF – that ultimately couldn't make the business side work. Richardson gives his take on what happened with the company and how the CNCF could help businesses like it in the future, as well as what he's got planned next.

William Morgan is CEO at Buoyant, a company that sells commercial and SaaS support for the Linkerd service mesh project and employs all of its maintainers. In February, Buoyant announced it would no longer be making a certain class of the project's code, called stable release artifacts, available for free to production users with more than 50 employees. Morgan discusses community reaction to that change and his outlook on the future of open source. 

I'm Beth Pariseau, senior news writer at TechTarget, and this is IT Ops Query, a new podcast that distills the signal from the noise about enterprise digital transformation and IT operations. In this first season, I'm talking to guests about the ongoing friction between open source software principles and sustainability. Join me March 28 for a series of weekly episodes featuring the IT experts, entrepreneurs, and community leaders involved in determining the path forward for enterprise open source.

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.

The director of engineering for a Fortune 20 automotive company shares his thoughts on the latest in cloud-native technologies for platform engineers during KubeCon + CloudNativeCon North America 2025. He also discusses ways platform engineering can address common cybersecurity risks, including software supply chain security. Finally, Saxena gives his insights on the opportunities and challenges AI presents for platform engineering pros and the developers they serve. Featuring: Gaurav Saxena, director of engineering, Fortune 20 automotive company In today’s episode, we’ll cover… Cloud-native infrastructure automation tools for platform engineering including Crossplane, OpenTelemetry and KubeVela Software supply chain security tools including Sigstore AI agent networking and the Envoy AI Gateway project and more! References: Kubernetes AI progress in 2025 and the road ahead KubeCon + CloudNativeCon 2025 news coverage OpenTelemetry adapts to AI observability   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.

Bob Killen, senior technical program manager at the Cloud Native Computing Foundation (CNCF), shares highlights from two survey reports released this week during KubeCon + CloudNativeCon North America 2025: The 2025 State of Cloud Native Development report and AI Tech Radar Report. According to Killen, the results show that cloud-native technology has become more accessible to back-end developers, and that AI development is closely tied to cloud-native infrastructure – even though AI engineers might not be aware of it. Featuring: Bob Killen, senior technical program manager, CNCF In today’s episode, we’ll cover… How many back-end developers and AI engineers consider themselves "cloud-native," and what that means What's behind increased hybrid cloud usage compared to previous years The relatively young AI projects organizations are already using in production and more! References: OpenTelemetry adapts to AI observability Model Context Protocol fever spreads in cloud-native world KubeCon + CloudNativeCon 2025 news coverage CNCF: AI is the new workload, cloud-native is the new OS 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.

Oracle senior vice president Sudha Raghavan manages all expansions and new buildouts for some of the world's largest infrastructure platforms supporting GPU clusters, including network design. As the company prepares to build new gigawatt data centers worldwide, she explains how its database heritage helps in operating increasingly demanding data center networks with high performance and efficiency. Featuring: Sudha Raghavan, senior vice president, AI infrastructure, Cloud Infrastructure. In today’s episode, we’ll cover… Oracle's Acceleron and how it supports AI workloads Oracle AI World updates, including an Acceleron multi-planar network and converged Network Interface Card (NIC) What's new with OCI Zettascale10 and the AMD Zettascale Supercluster, coming next year and more! References: Oracle launches new platform to streamline AI development Oracle adds AI agents to Fusion CX applications cloud stack Oracle shifts focus of Fusion Cloud Applications to AI agents Beyond Stargate: Oracle OCI ups cloud infrastructure appeal 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.

It's our first on-location episode! At GitHub Universe, Katie Norton, Research Manager for IDC's DevSecOps and software supply chain security practice, explains how a new extension to GitHub's CodeQL reflects increased awareness of security as a dimension of code quality. She also discusses the shifting strategic partnerships and competition that come with increased convergence between AppSec and QA workflows, along with the AI security and governance concerns that still linger for enterprise IT organizations. Featuring: Katie Norton, Research Manager for IDC's DevSecOps and software supply chain security practice In today’s episode, we’ll cover… GitHub's application security updates at GitHub Universe IDC's market research on AppSec - QA collaboration The competitive implications of DevSecOps tool consolidation Advice for enterprise IT organizations on AI governance and more! References: GitHub Agent HQ opens platform to third-party coding agents JFrog-GitHub partnership eyes software supply chain security New GitHub Copilot agent edges into DevOps Glut of AI agent tools faces paradox of choice, skills gap 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.  

Patrick Lin from Splunk discusses how observability extends beyond IT, highlighting its importance in improving business decisions, customer support, and revenue. The interview also covers challenges in enterprise observability, like standardization and teamwork, along with the changing role of AI in observability methods. AI automation can help observability practitioners keep up with increasingly complex infrastructure, but customer-facing AI apps present their own thorny management problems as production workloads. Featuring: Patrick Lin, Senior Vice President and General Manager of Observability at Splunk In today’s episode, we’ll cover… This week's Splunk State of Observability 2025 report How observability practices affect digital businesses How AI both solves and creates observability problems and more! References: Cisco-Splunk strategy shift unveiled with Data Fabric Under Cisco, Splunk AI roadmap tees up pricing overhaul Splunk preps OpenLLMetry tie-ins for deeper AI monitoring Cisco and Splunk are teaching AI to anticipate system failures 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.

What a difference six months makes: after adjusting its product pricing and bundling in April during its Team 25 US conference, Atlassian now says adoption for its Rovo AI products has taken off. The company's head of AI product talks about what changed, what's new at the Team 25 Europe conference this week, and what's ahead for Atlassian AI. Featuring: Jamil Valliani, vice president and head of AI product at Atlassian In today’s episode, we’ll cover… Atlassian's Rovo Dev agent, now generally available The first appearance for Atlassian's DX acquisition The next frontier in enterprise AI adoption and more! References: Atlassian Rovo pricing shifts amid industry AI struggles Agentspace vs. Rovo: A new battlefront in enterprise search Atlassian Data Center stops multiyear license renewals Agile methodology reborn as COVID, AI transform enterprises 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.

The leader of search, observability, and cloud operations at Amazon Web Services outlines her strategic perspective on monitoring AI agent systems such as Amazon Bedrock Agents. Ultimately, she envisions unified visibility, including security, across AI workflows, from silicon to application, both inside and outside AWS. Featuring: Nandini Ramani, Vice President at Amazon Web Services In today’s episode, we’ll cover… Generative AI for telemetry analysis Distributed tracing for AI agents Observability and the future of DevSecOps and more! References: Amazon Q, Bedrock updates make case for cloud in agentic AI Amazon Bedrock users adapt app dev to GenAI More reasoning, interoperability key to future of agentic AI AWS Enhances Cloud Security With Better Visibility Features To learn more about IT Operations, check out SearchITOperations.com. To watch clips from our podcast, subscribe to our YouTube channel, @EyeOnTech.

Experienced IT practitioners offer their predictions for how AI will change observability, the role of the site reliability engineer and incident management within enterprise organizations, from best-case scenarios to pitfalls and risks. Come for the 40 combined years of IT ops expertise, stay for the "Highlander" references and football analogies. Featuring: Jonathan Moore, domain architect, Progressive Insurance and Laura Vetter, chief technologist and co-founder, Evolutio In today’s episode, we’ll cover… AI risks AI agents Site Reliability Engineering and more! References: Datadog AI agent observability, security seek to boost trust | TechTarget SREs map uncharted territory with LLMOps | TechTarget ServiceNow shops share AI copilot results, prep for agents | TechTarget More on observability from Jonathan Moore's Splunk .conf 2024 presentation To learn more about IT Operations, check out SearchITOperations.com. To watch clips from our podcast, subscribe to our YouTube channel, @EyeOnTech.

Ameet Talwalkar joined observability vendor Datadog in February to lead a new AI research lab at the company. He is also an Associate Professor at Carnegie Mellon University. One of the first projects from the lab was released to open source in May – Toto, a foundation model trained on real-world observability data. Talwalkar discusses how Toto could improve observability forecasting tools such as Datadog's Watchdog, and does some forecasting of his own about how AI agents will alter observability and human-computer interactions.

Steve Koelpin is a seasoned engineer and award-winning data strategist who specializes in observability, logging, and data pipelines at high scale. In his experience, generative AI in observability tools can help reduce the time it takes to resolve IT incidents, but can also foment dependence on a 'black box' tool. There's also the matter of feeding AI the large amounts of data it requires without breaking the bank, where Koelpin shares his dos and don'ts.

Nancy Gohring is a senior research director at IDC, focused on big picture trends related to enterprise AI adoption, including business, organizational and technology architecture transformation in the context of AI and GenAI. In this wide-ranging interview, Gohring gives the big-picture view of the challenges and changes GenAI represents for enterprise IT operations teams, from roles to teams to tools.  

Enterprise Strategy Group analyst Torsten Volk says he spends so much time playing with generative AI tools that "if I used fewer, I'd get a lot more done." But judiciously used -- and with plenty of human oversight -- LLMs and AI agents can be catalysts for fundamentally changing businesses, from application modernization to massive data processing, including the growing volume of telemetry gathered by observability tools. 

One of the enterprise tech industry's most influential voices on all things AI, independent analyst Andy Thurai, says in a wide-ranging discussion that IT pros should prepare to work with AI agents in the very near future, despite unanswered questions about their orchestration and the reliability of their decision-making.