cloud2030

Is high availability always a good thing? Today our discussion takes an operations perspective. We look at places where you were over or under committing high availability, where you were confusing disaster recovery for high availability, and perhaps even securing the wrong service or looking at it the wrong way. We cover all of these scenarios with practical, hands-on examples that I know you will get a lot out of. This is good prep for talking about HA clusters, because the idea of coordinating and monitoring systems is core to HA and HA clusters. In our journey with RackN, a lot of customers who thought they needed very aggressive HA systems, once they are confronted with the overhead of maintaining an HA system, have to ask if you really need it. We started with an active/passive HA implementation using third party monitoring to monitor for when the system failed and spin up the second system, creating a live streaming back up to the failover system. Transcript: https://otter.ai/u/vOVZadHvRTFCZGqcI2DC3nQzDgY?utm_source=copy_url

We dive into AI, manufacturing and how to improve manufacturing outcomes by better analyzing data. If you are interested in manufacturing or advanced applications of AI and digital twins - which is where we create accurate representations of physical items - this episode will hit all of your favorite topics! Transcript: https://otter.ai/u/xNB0GZQXB4hQMly991Wk1MwFhjw?utm_source=copy_url

We explore the UEFI certificate issue in which secure boot is potentially compromised. Certificates that are included in most UEFI BIOSes have been compromised in ways that could easily be used as an attack vector, a very significant flaw and something that should be on your purview and radar to fix and patch. We're going to talk about what the issue is, why it's important, how secure boot works, and what you can do to mitigate this problem in your own infrastructure. An important episode for anybody running or managing desktops, data centers or any infrastructure of any type. Transcript: https://otter.ai/u/H15Z2NZDom8Hta8gHJn2mQwziFM?utm_source=copy_url

We discuss the impact AI and data sovereignty data protection will have on platforms, consolidated management of your data like in Office by Microsoft or Google, on premises, and systems. This includes a whole bunch of data that you will want to use to train AI models to improve your day to day operations, but you probably don't want a lot of vendors pulling that data apart and transiting it. We have a fascinating discussion about how the market is impacting these forces. Transcript: https://otter.ai/u/gpyotjoYz5ev-1Q2yvokQi--ipg?utm_source=copy_url

This episode is one of our book club episodes starring John Walpole, who wrote the Two But Rule, which is very tongue in cheek while also very serious about momentum thinking and using a negative bouncy discussion pattern. I like to think of it as a bouncy discussion pattern to really explore ideas and drive ideation in a positive way by asking and challenging people's ideas in a constructive way. Transcript: https://otter.ai/u/2-CzhoZXo1U9URwEc3xnrV-f6-w?utm_source=copy_url

This episode explores the intersection of infrastructure automation and security through the lens of the Crowd Strike outage. We'll discuss the tension between maintaining stable, reliable data center infrastructure and the need to embrace change and innovation. Recent events like the CrowdStrike outage demonstrate the paradox that infrastructure teams face. We'll dive into the importance of having multiple control planes and standardized processes that can adapt to rapid industry changes. Transcript: https://otter.ai/u/Wos9IOPfpSGPOYNT-A4muQccA5w

We start talking about walled gardens and the momentum and push that causes us to get into vendor active environments in this episode. This is going to be a multi-part discussion where we look at the drivers of AI in the future. In this case, we used up a lot of time before this recording talking about Kubernetes and what's next for Kubernetes and containers, as well as how that ecosystem has been shaping up. This conversation is about the wall gardens that could be broken down, and in some cases, have actually been built taller because of containerization and Kubernetes and infrastructure and how infrastructure works. After that background before going into the discussion, we pick it up on how these ecosystems and walled gardens are self reinforcing as well as chinks in the armor that will allow us to go back to interoperable standards. Transcript: https://otter.ai/u/oZiuGGiJwjsvycVosq4FA7-r4gc?utm_source=copy_url

Power, electrical power, and how the upcoming trend of AI data centers is intersecting as a load with generation, storage, transportation, Bitcoin mining and mining all use power. These are all highly interconnected in how we use and manage the grid, but are using power in different ways. Transcript: https://otter.ai/u/mszdgZE5_TG_H6lywY6S8-RqPsw?utm_source=copy_url

Analog computing is the idea of non-digital computing. Not quanta, but non-digital, basically using analog circuits, either electrical circuits or potentially even mechanical or fluid circuits, to perform calculations and control systems. These are surprisingly common, especially in older devices, but less common in current and modern devices. But they're making a comeback, in part because they're very fast and efficient, but also because with AI tooling and digital twinning, we can design these circuits much more effectively. With 3D fabrication we can actually create these circuits more effectively if they're mechanical. Transcript: https://otter.ai/u/WRIb_V_hWt9KBcbCXYX6z_dD1Ps?utm_source=copy_url

We revisit where we are with Crypto - more specifically where we are with distributed ledger technology or DLT. We give pertinent and real examples of places where the core technology behind Crypto is thriving and making a big difference, as well as has regained its value. We discuss the human impacts of that and what went wrong. Transcript: https://otter.ai/u/1je6MzCQuv0U_9_MOaQtDNMWAQw?utm_source=copy_url