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.

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.

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: [bullet list 3-4 articles that are related to your episode’s subject matter and have SEO-friendly titles. This is also a spot where you could share your guest’s work, such as a recent research paper they worked on that is related to the episode’s theme. But make sure Informa TechTarget articles outnumber external articles.] 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. 

"AI is not just another technology layer; it's a distinct stack with its own complexities and risks," according to Coralogix CEO Ariel Assaraf. In this episode, Assaraf details those unique issues and how his company plans to address them using its recent acquisition, Aporia.

Kishore Gopalakrishna says that the observability market is ripe for disruption in the AI age, particularly at the storage and query layer. The former LinkedIn architect is now co-founder and CEO of StarTree, which offers a real time analytics platform based on Apache Pinot. The company has a preview version of its StarTree Cloud service for observability that supports metrics, logs and traces, and shipped StarTree ThirdEye last year for anomaly detection and root-cause analysis. In this episode, Gopalakrishna discusses why the new products are a cheaper, faster alternative for observability.

Gartner analyst Gregg Siegfried reflects on the previous generation of AIOps tools that never quite lived up to their "NoOps" promise, looks at how generative AI tools have already affected IT ops pros' day to day work, and predicts the ways AI agents are poised to even more dramatically alter the observability and IT automation landscape.

Mark Tomlinson is senior director of performance and observability for digital payments provider FreedomPay. He previously worked for PayPal and also served as Chief Performacologist, founder and host of the PerfBytes podcast from 2012 to 2023. He talks about how his company uses generative AI tools in its observability practices, imagines the future possibilities for agentic AI ... and just as importantly, explains what a "Performacologist" is.

Alois Reitbauer is chief technology strategist, head of open source and the leader of research at observability vendor Dynatrace. He is a contributor to CNCF open source standards such as the Keptn event-driven orchestration project and OpenFeature for feature flag management. His Dynatrace bio also describes him as "a regular conference speaker, blogger, book author and sushi maniac." He reflects on the evolution of AIOps before and after generative AI, and discusses the work still being done to help large language models better generate infrastructure code in response to incidents.

The rise of generative and agentic AI is also OpenTelemetry's moment to shine – in an increasingly non-deterministic world, there's a lot to be said for a standard means of collecting telemetry data about system behavior. However, it can be difficult to get a consensus on everything, especially developers' preferences about instrumenting code. This week's guest, Austin Parker, was among the original founding members of the OpenTelemetry project and remains a core contributor, as well as a member of the project's governance board. He explores the multiple intersections between the maturing open source observability standard and emerging AI technology, what's on the project's roadmap and shares his own experiences using generative AI to develop apps.

What if you could see your application and infrastructure represented spatially instead of two-dimensional dashboard tabs, similar to atoms in a molecule or stars in the sky? According to Matt Young, founder and co-chair of the Cloud Native Computing Foundation (CNCF) technical advisory group (TAG) on observability, this will soon be a reality thanks to advanced AI models, knowledge graphs, and emerging data storage techniques such as columnar stores. In this episode, Matt discusses the implications of these new technologies for SREs, developers, and software supply chain security.

Charity Majors pioneered the term 'observability' as co-founder and CTO of Honeycomb.io, based on her experience building and managing distributed systems at Parse, Facebook, and Linden Lab building Second Life. She is the co-author of the O'Reilly books Observability Engineering and Database Reliability Engineering. Her Honeycomb bio adds that she "loves free speech, free software and single malt scotch." In this interview with Informa TechTarget senior news writer Beth Pariseau, Majors covers the interplay between AI and observability, "Observability 2.0," and urges site reliability engineers to lean into AI agents, even if they seem to be replacements.