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…

and more!

References:

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…

and more!

References:

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…

and more!

References:

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…

and more!

References:

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…

and more!

References:

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…

and more!

References:

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.