The mission of the AI+ITOPS Podcast is to discuss the struggles faced by ITOps — such as digital transformation and the need to keep IT services "always on" — and explore how AI/ML, AIOps, Application Performance Management (APM), and other ITOps and DevOps technologies can help.
Want to be a guest on the AI+ITOPS Podcast? Contact APMdigest or The Field CTO.
The AI+ITOPS Podcast is also available on: RSS Feed ■ Apple Podcasts ■ Google Podcasts ■ Spotify
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Episode 11: Exploring Distributed Tracing
Featured Guest: Andrew Tunall, GM, New Relic Serverless & Emerging Cloud Services
Posted October 26, 2020
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Episode 10: The Promise of Emerging Technology
Featured Guest: Prem Naraindas, CEO of Katonic.ai
Posted October 5, 2020
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Episode 9: The Impact of the Pandemic on IT Teams
Featured Guest: Sean McDermott, President and CEO, Windward Consulting Group
Posted September 28, 2020
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Episode 8: The Real Benefits of AIOps
Featured Guest: Michael Olson, Director of Product Marketing at New Relic
Posted September 21, 2020
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Episode 7: The Future of APM, AIOps and Observability
Featured Guest: Will Cappelli, Field CTO of Moogsoft and former Gartner Research VP
Posted September 14, 2020
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Episode 6: Taking AIOps to the Edge
Featured Guest: Mark Thiele, Co-Founder and CEO of Edgevana
Posted September 8, 2020
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Episode 5: AIOps Hype vs. Reality
Featured Guest: Bhanu Singh, SVP of Engineering and DevOps at Opsramp
Posted August 31, 2020
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Episode 4: The Right Data, Right Time, Right Insights
Featured Guest: IBM Fellow Mac Devine, VP & CTO Strategic Customer Success, Watson Cloud Division of IBM
Posted August 24, 2020
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Episode 3: Technology Is Hard - People Are Harder
Featured Guest: Cloud Computing Pioneer Mike Kavis, Managing Director at Deloitte Consulting
Posted August 17, 2020
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Episode 2: AIOps, Open Telemetry, Observability, and More
Featured Guest: Jonah Kowall, CTO of Logz.io and former Gartner Research VP
Posted August 10, 2020
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Episode 1: An Insider's Look at EMA's AIOPS Research
Featured Guest: Dennis Drogseth, VP at Enterprise Management Associates (EMA)
Posted August 3, 2020
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If you would like to listen to the AI+ITOPS Podcast on a service that is not listed above, please send a request to APMdigest.
About the Podcast Host
The AI+ITOPS Podcast is hosted by Andy Thurai of The Field CTO (TheFieldCTO.com). Thurai is an accomplished IT executive, strategist, advisor and evangelist with 25+ years of experience in executive, technical and architectural leadership positions at companies such as IBM, Intel, BMC, Nortel and Oracle; he advises many start-ups; and he is a Steering Committee Member for AIOps Exchange. He has been a keynote speaker in many major conferences, as well as host of many webcasts, podcasts and video chats. He is a regular Forbes contributor, and has written 100+ articles on emerging technology topics for publications such as Forbes, AI World, VentureBeat and Wired. Andy Thurai can be reached on Twitter at @AndyThurai, LinkedIn, or his website at www.TheFieldCTO.com.
The Latest
Modern complex systems are easy to develop and deploy but extremely difficult to observe. Their IT Ops data gets very messy. If you have ever worked with modern Ops teams, you will know this. There are multiple issues with data, from collection to processing to storage to getting proper insights at the right time. I will try to group and simplify them as much as possible and suggest possible solutions to do it right ...
In Agile, development and testing work in tandem, with testing being performed at each stage of the software delivery lifecycle, also known as the SDLC. This combination of development and testing is known as "shifting left." Shift left is a software development testing practice intended to resolve any errors or performance bottlenecks as early in the software development lifecycle (SDLC) as possible ...
Kubernetes is rapidly becoming the standard for cloud and on-premises clusters, according to the 2021 Kubernetes & Big Data Report from Pepperdata ...
Overwhelmingly, business leaders cited digital preparedness as key to their ability to adapt, according to an in-depth study by the Economist Intelligence Unit (EIU), looking into how the relationship between technology, business and people evolved during the COVID-19 pandemic ...
Robotic Data Automation (RDA) is a new paradigm to help automate data integration and data preparation activities involved in dealing with machine data for Analytics and AI/Machine Learning applications. RDA is not just a framework, but also includes a set of technologies and product capabilities that help implement the data automation ...
There is no one-size-fits-all approach to changing the experience of employees during a pandemic, but technological innovation can have a positive impact on how employees work from home as companies design their digital workspace strategy. The IT team supporting this shift needs to think about the following questions ...
Downtime. It's more than just a bar on the Rebel Alliance's base on Folor. For IT Ops teams, downtime is not fun. It costs time, money and often, user frustration. It takes more than the Force to handle incidents ... it takes an intergalactic team. An effective incident management team is made up of people with many different skill sets, styles and approaches. We thought it would be fun to map the heroes of IT Ops with Star Wars characters (across Star Wars generations) based on their traits ...
Vendors and their visions often run ahead of the real-world pack — at least, the good ones do, because progress begins with vision. The downside of this rush to tomorrow is that IT practitioners can be left to ponder the practicality of technologies and wonder if their organization is ahead of the market curve or sliding behind in an invisible race that is always competitive ...
According to a new report, Digital Workspace Deployment & Performance Monitoring in the New Normal, 82% of respondents had changes in their digital workspaces due to the pandemic ...
There are a few best practices that DevOps teams should keep in mind to ensure they are not lost in the weeds when incorporating visibility and troubleshooting programs into their systems, containers, and infrastructures. Let's dive into these best practices ...
