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.
Episode 11: Exploring Distributed Tracing
Featured Guest: Andrew Tunall, GM, New Relic Serverless & Emerging Cloud Services
Posted October 26, 2020
Episode 10: The Promise of Emerging Technology
Featured Guest: Prem Naraindas, CEO of Katonic.ai
Posted October 5, 2020
Episode 9: The Impact of the Pandemic on IT Teams
Featured Guest: Sean McDermott, President and CEO, Windward Consulting Group
Posted September 28, 2020
Episode 8: The Real Benefits of AIOps
Featured Guest: Michael Olson, Director of Product Marketing at New Relic
Posted September 21, 2020
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
Episode 6: Taking AIOps to the Edge
Featured Guest: Mark Thiele, Co-Founder and CEO of Edgevana
Posted September 8, 2020
Episode 5: AIOps Hype vs. Reality
Featured Guest: Bhanu Singh, SVP of Engineering and DevOps at Opsramp
Posted August 31, 2020
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
Episode 3: Technology Is Hard - People Are Harder
Featured Guest: Cloud Computing Pioneer Mike Kavis, Managing Director at Deloitte Consulting
Posted August 17, 2020
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
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
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.
Achieve more with less. How many of you feel that pressure — or, even worse, hear those words — trickle down from leadership? The reality is that overworked and under-resourced IT departments will only lead to chronic errors, missed deadlines and service assurance failures. After all, we're only human. So what are overburdened IT departments to do? Reduce the human factor. In a word: automate ...
On average, data innovators release twice as many products and increase employee productivity at double the rate of organizations with less mature data strategies, according to the State of Data Innovation report from Splunk ...
While 90% of respondents believe observability is important and strategic to their business — and 94% believe it to be strategic to their role — just 26% noted mature observability practices within their business, according to the 2021 Observability Forecast ...
Let's explore a few of the most prominent app success indicators and how app engineers can shift their development strategy to better meet the needs of today's app users ...
Business enterprises aiming at digital transformation or IT companies developing new software applications face challenges in developing eye-catching, robust, fast-loading, mobile-friendly, content-rich, and user-friendly software. However, with increased pressure to reduce costs and save time, business enterprises often give a short shrift to performance testing services ...
DevOps, SRE and other operations teams use observability solutions with AIOps to ingest and normalize data to get visibility into tech stacks from a centralized system, reduce noise and understand the data's context for quicker mean time to recovery (MTTR). With AI using these processes to produce actionable insights, teams are free to spend more time innovating and providing superior service assurance. Let's explore AI's role in ingestion and normalization, and then dive into correlation and deduplication too ...
As we look into the future direction of observability, we are paying attention to the rise of artificial intelligence, machine learning, security, and more. I asked top industry experts — DevOps Institute Ambassadors — to offer their predictions for the future of observability. The following are 10 predictions ...
One thing is certain: The hybrid workplace, a term we helped define in early 2020, with its human-centric work design, is the future. However, this new hybrid work flexibility does not come without its costs. According to Microsoft ... weekly meeting times for MS Teams users increased 148%, between February 2020 and February 2021 they saw a 40 billion increase in the number of emails, weekly per person team chats is up 45% (and climbing), and people working on Office Docs increased by 66%. This speaks to the need to further optimize remote interactions to avoid burnout ...
Here's how it happens: You're deploying a new technology, thinking everything's going smoothly, when the alerts start coming in. Your rollout has hit a snag. Whole groups of users are complaining about poor performance on their devices. Some can't access applications at all. You've now blown your service-level agreement (SLA). You might have just introduced a new security vulnerability. In the worst case, your big expensive product launch has missed the mark altogether. "How did this happen?" you're asking yourself. "Didn't we test everything before we deployed?" ...
The Fastly outage in June 2021 showed how one inconspicuous coding error can cause worldwide chaos. A single Fastly customer making a legitimate configuration change, triggered a hidden bug that sent half of the internet offline, including web giants like Amazon and Reddit. Ultimately, this incident illustrates why organizations must test their software in production ...