IT Ops Query

IBM Think: Bob AI coding agent, HashiCorp AIOps and more

Informa TechTarget senior news writer Beth Pariseau and analyst Jason Andersen break down the top news at IBM's Think conference this week, including the general availability of the IBM Bob AI coding tool, a long-awaited tie-in with HashiCorp for AIOps now in public preview and updates to the Watsonx Orchestrate AI agent platform.
Featuring: Jason Andersen, principal analyst, Moor Insights & Strategy
In today’s episode, we’ll cover…
IBM Bob meets the mainframe
HashiCorp infragraph takes IBM Concert from security focus into hybrid cloud resiliency
Watsonx Orchestrate expands third-party agent support
And more!
References:  
Glut of AI agent tools faces paradox of choice, skills gap
IBM Watsonx Orchestrate and the state of AI agent platforms
IBM - HashiCorp AI roadmap takes shape at HashiConf
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 becomes the linchpin of AI development

An observability company CEO discusses the shifting requirements – and growing role -- for such tools in AI development. From Shahar Azulay's point of view, observability has evolved from a post-production downtime prevention system to "the source of truth for everything from code creation to shipping and testing code, remediation and production."
Featuring: Shahar Azulay, co-founder and CEO, Groundcover
In today’s episode, we’ll cover…
Coping with a further influx of observability data from AI agents
Observability for cost management
Data collection for AI agent workflows using eBPF
Groundcover's AI observability roadmap
And more!
References:
Cisco Galileo buy reflects blurring lines in AI observability
KubeCon EU 2026: AI tightens the dev-prod loop
Why real-time data is key for enterprise AI
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.

Google's Agentic Data Cloud extends AI data management

Greetings from fabulous Las Vegas! Informa TechTarget's Beth Pariseau catches up at Google Cloud Next with Andi Gutmans, VP and GM of Data Cloud at Google. This week, Google previewed a new Agentic Data Cloud: what does it mean for enterprise IT buyers? How does it slot in with the many other Google Cloud products rolled out and updated this week? Tune in to find out.
Featuring: Andi Gutmans, VP and GM of Data Cloud, Google
In today’s episode, we’ll cover…
What enterprises can do with new AI data management features they couldn't do before
Google's competitive differentiation in AI data management
Cross-cloud coopetition
The future of enterprise AI data management
And more!
References:
Google unveils data cloud purpose built for agentic AI
New Google TPUs multiply AI infrastructure efficiency
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.

Intuit AI chief looks beyond the SaaSpocalypse

As the dust settles on Tax Day 2026, Intuit's chief AI officer envisions not a SaaS apocalypse but a SaaS transformation enabled by AI agents, with an emphasis on human-AI collaboration and predictive capabilities. In this interview, he shares data on the results of Intuit's AI strategy so far in millions of customers and transactions, cost savings, ROI and accuracy rates.
Featuring: Ashok Srivastava, senior vice president and chief AI officer, Intuit
In today’s episode, we’ll cover…
What Srivastava's experiences with data analytics at NASA and Intuit have in common
The importance of AI skepticism in agentic development
Best and worst-case scenarios for agentic AI in 2026
And more!
References:
SaaSpocalypse? Maybe not, but SaaS applications are changing
Intuit's Ashok Srivastava, on AI agents' new frontier
Finance platform Intuit intros generative AI capability
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.

AI pilot to (Microsoft) Copilot: the state of enterprise AI

As chief technology and innovation officer at IT consulting and services company Avanade, Aaron Reich sits at the intersection of enterprise AI adoption trends among IT vendors, enterprise clients and internal customers. He offers his insights on why so many enterprise AI deployments get stuck in the pilot stage, his advice on AI governance best practices and his predictions for how 2026 and 2027 will unfold.
Featuring: Aaron Reich, chief technology innovation officer, Avanade
In today’s episode, we’ll cover…
Varying levels of trust in AI
The importance of data governance, agent reusability, and cost management in enterprise AI initiatives
The future of white-collar work in the agentic AI age
The best and worst case scenarios for enterprise AI in 2026 and beyond
And more!
References:
IT leaders share enterprise AI change management tips
State of the Cloud report shows shift from cost-cutting to value
SaaSpocalypse? Maybe not, but SaaS applications are changing
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.

How Capital One scaled serverless computing

Serverless computing is nothing new, but it's poised for major growth, according to recent market research. This week's guest has had a front-row seat to that growth both at AWS and Capital One, where he led the company's efforts to use serverless at scale and helped shape its Serverless Center of Excellence. In this episode, he discusses the pros and cons of serverless computing for enterprises, recent advances in adjacent technologies such as observability, and shares his lessons learned.
Featuring: Brian McNamara, distinguished engineer at Capital One
In today’s episode, we’ll cover…
Cost and efficiency savings with serverless computing
AWS CloudWatch, X-Ray and OpenTelemetry updates for serverless observability
The "NoOps" misnomer
How to help developers work with serverless functions effectively
And more!
References:
AI will heavily influence cloud-related decisions in 2026
Compare AWS Lambda vs. AWS Fargate for serverless
19 Top Distributed Tracing Tools to Know About
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.

Cisco incubator proposes Internet of Cognition for AI agents

Outshift by Cisco published a whitepaper titled "Scaling out Superintelligence" in January that suggests that new standard network layers will be required for AI agents and humans to work together at scale. It also began designing a distributed infrastructure to support those layers, which it calls the "Internet of Cognition," that helps agents and humans think together with a shared semantic context. In this episode, Guillaume de Saint Marc, vice president of engineering at Outshift, discusses how the project evolved and what's coming next.  
Featuring: Guillaume de Saint Marc, VP of Engineering, Outshift by Cisco 
In today’s episode, we’ll cover… 
Artificial superintelligence – definition and challenges 
Proposed OSI model Layers 8 and 9 for agentic AI 
The Internet of Cognition vs Agntcy and A2A protocols 
And more! 
References:  
Big vendors back Linux Foundation agentic workflows project 
How agentic AI is changing work, strategy and competitiveness 
Is your business ready for an agentic AI team? 
The ethics that make human-AI agent collaboration work  
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.  

Mainframe modernization: Where AI wins and fails

There are two sides to the mainframe modernization coin, according to Asa Kalavade, vice president of AWS Transform, an agentic AI service that modernizes Windows, mainframe, and VMware environments. In late February, Asa wrote a blog post about misconceptions regarding AI and mainframe modernization that were revealed by work with more than 400 AWS Transform customers. In that post and during this episode's discussion, she explains why successful mainframe modernization requires both reverse and forward engineering – and why AI is only good at one of those things.
Featuring: Asa Kalavade, VP of AWS Transform
In today’s episode, we’ll cover…
The need for both reverse and forward engineering in app modernization
The intricacies of mainframe applications AI tends to struggle with
Where AI agents help the modernization process
The evolving role of mainframe experts
And more!
References:
How to use ChatGPT in mainframe modernization
Mainframe modernization to AI apps: USPTO reinvents itself
Learnings from COBOL modernization in the real world (AWS)
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 "observability tax," AI and the SaaSpocalypse

"I would love there to be a SaaS apocalypse" in observability – that's the spicy take from Ari Zilka, CEO at data pipeline engine startup MyDecisive.ai, and a former exec at New Relic and Hortonworks. MyDecisive's open source software targets data management costs from observability vendors such as Datadog by reducing data at the source; it can also proactively alert on and take action on OpenTelemetry data as it comes in from enterprise applications. If Zilka has his way, observability will return to enterprises as an in-house discipline, but without requiring an army of engineers to set it up.
Featuring: Ari Zilka, CEO at MyDecisive.ai
In today’s episode, we’ll cover…
MyDecisive's approach to AI and Zilka's outlook on AI agents (It's not what you might think)
Observability costs and how MyDecisive proposes tackling them
MyDecisive vs Cribl and other data pipeline tools
And more!
References:
New Relic plans to expand AI agent observability
Snowflake storms into IT monitoring with Observe acquisition
Dynatrace AI agents draw on new observability integrations
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.

AI, jobs and billionaires: Former Googler issues warnings

Tom Chi has played many roles inside and outside the tech industry, including serving as head of Google X, where he helped develop Google Glass and self-driving cars. Now a founding partner at the environmentally focused venture capital firm At One Ventures, Chi has published a book, Climate Capital: Investing in the Tools for a Regenerative Future. The book offers dark warnings about the possible future of humans on Earth amid threefold crises in the environment, the AI economy, and geopolitics and also proposes a framework for change.
In this wide-ranging and provocative interview, Chi puts forth his opinions on why a world in which billionaires are building doomsday bunkers is one in which no one is really winning, and how that would could be re-imagined.
Featuring: Tom Chi, founding partner, At One Ventures
In today's episode, we'll cover…
White collar jobs and AI
Demand as a check on corporate power
Connections between climate change, AI's impact and political unrest
Chi's proposed skills to address these challenges: critical thinking, creativity, compassion, and community.
References:
Potential Salesforce pricing reset latest sign of 'SaaSpocalypse'
AI job losses: Transformation expected, not mass layoffs
Half of Google's software development now AI-generated
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.