IT Ops Query

How GitHub Code Quality connects to AppSec

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.
 

Splunk exec on AI observability's "double-edged sword"

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.

Cribl CEO talks AI data management, MCP and AI bubble

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.

Atlassian Rovo AI grows to 3 million monthly users

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.

AWS VP plans Amazon Bedrock Agents observability and more

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.

Dancing with AI: AI risks, rewards and the evolution of SREs

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.

Datadog AI researcher teaches time-series models new tricks

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.

The good, the bad and the ugly of AI and observability

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.

Enterprises adapt to generative AI operations

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.  

GenAI and business transformation

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.