On this episode of It Depends, Eli, Sanjeev and Anna host Kubernetes and Docker trainer and book author Nigel Poulton. We talked about a bunch of things ranging from Champions League to his latest book: The KCNA Book. This is a must watch/listen episode of It Depends!

► Nigel's latest book: The KCNA Book - https://amzn.to/3vOV2LF
► Nigel's web site: https://nigelpoulton.com/

PODCASTS: Listen wherever you get your podcasts:
► Let's Talk Shop: http://letstalkshop.buzzsprout.com 
► It Depends with Eli and Sanjeev: http://itdepends.buzzsprout.com 

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The biggest challenge with artificial intelligence and machine learning isn’t algorithms or even finding the right skill set. Without high quality, accurate data collected from real world sources, the best efforts for AI and ML fall flat. But collecting real data in sufficient quantities is often difficult. This is where synthetic data comes in. In this episode, we’ll explore synthetic data, how it is created and used, and, finally, some of the gaps using synthetic data to introduce AI and ML efforts.

PODCASTS: Listen wherever you get your podcasts:
► Let's Talk Shop: http://letstalkshop.buzzsprout.com 
► It Depends with Eli and Sanjeev: http://itdepends.buzzsprout.com 

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In our podcast series we have discussed many mainstream topics. But today, it’s different. We have the pleasure of talking to Simon Crosby who has been a founder of cutting-edge technology products for a long time. The indomitable Simon’s newest creation is Swim.ai, which, you can think of, as a love child of streaming data and distributed graphs. Steaming data becomes a vertex in the graph dynamically and in real time. One of its biggest use cases is in the IoT space. As the world adopts more IoT data, Swim.ai quickly ingests data from devices and sensors into its graph for real-time streaming analytics.

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Product management thinking is key to how we build software applications in future. Treating an application as a product allows us to model users’ needs better and continuously evolve its functionality and utility. Even data engineers, ensconced so far into their data cocoons, are now encouraged to build data as products. But how does a technical person develop their product sense? That is the topic that Elias and Sanjeev debate with the help of Joe Antelmi and Traverse Clayton, who have recently made the leap into the product space.

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In this episode of It Depends, Eli, Sanjeev, Anna and Traverse tackle the topic of cloud native. There are so many questions to answer like:

► What is cloud native?
► Is PaaS cloud native? 
► Is cloud native a set of characteristics and patterns that can be used by cloud providers to build PaaS? 
► Is cloud native just about containers and Kubernetes?  

Find the answers to these questions and more. The team did not hold back either so this one is filled with some good old spicy debates.
 
► Sysdig 2022 Cloud-Native Security and Usage Report: https://bit.ly/3J4N9GI

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Confused about Observability? So are we. Eli, Anna, Nick and Sanjeev wrangle this topic to bring some structure, give guidance, and muse about what's in store for 2022. Rest assured, this is not the last time you'll hear us debate observability. Curious about Observability vs Monitoring? Is Observability an umbrella term for all metrics? Join us and find out!

Mentioned in the episode: 

► Document – https://bit.ly/3IoCqqp
► Document – https://bit.ly/3AdS2tZ
► Video – https://bit.ly/3tHDr8I
► Book - How To Measure Anything: https://amzn.to/3KontWZ

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AWS experienced several outages in December 2021 which put a emphasis on how much we are dependent on public clouds and what can be done to limit the impact of their outages. in this episode, Elias, Sanjeev, Anna and Traverse unpack the outages and discuss what customers can do.