Talking the Future of Tech
Today we dive deep into the mystery of Kubernetes installation, specifically OpenShift installation. We help explain why Kubernetes installs look so weird compared to traditional operations, install processes, and where are the playbooks? Where are the scripts? Are the runbooks describing all the steps you need to take? All of it seems to be missing, and in this podcast, we explain why.
Transcript: otter.ai/u/J802BlcVs3K_OU8B5K…?utm_source=copy_url
We revisit edge infrastructure and the motivations behind building and managing edge infrastructure with an unusual take. In this case, we ask ourselves if all of these edge devices are becoming more software defined or becoming more standardized, off the shelf component tree. And will that change how we look at managing and running edge infrastructure? Will we shift compute and operations processes into these ever smarter devices? The answer is going to surprise you.
Transcript: otter.ai/u/tGIcIC1bijvaW4OkJN…?utm_source=copy_url
In this episode, we dive deep into the emerging world of building and training small language models. We’ll discuss the benefits, risks, and challenges companies face as they work to create more targeted and efficient AI models. From managing hardware and power requirements to ensuring data privacy and governance, we’ll cover the key considerations for enterprises looking to leverage the power of small language models. Join us as we unpack this fascinating topic and consider the implications for the future of AI and infrastructure operations.
Transcript otter.ai/u/xJ5T-x70WUFQ55ZAsRQr57q6zwE
Reference: www.composabl.com/
SSH and Secure Shell is one of those topics that people take for granted because it is a ubiquitous way to log in and access systems. True to form for the TechOps series, though, we break that down into much more detailed and granular components.
We talk about how to secure it and what best practices are. We also discuss how to use it for tunneling, or, more specifically, not use it for tunneling, and why all of this matters to your operations environment. Listen to what new things we’re doing that avoid having to have network access at all.
Transcript: otter.ai/u/XSRBfnifZOF0-nlNU5…?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: otter.ai/u/Wos9IOPfpSGPOYNT-A4muQccA5w
If you follow cloud2030 discussions or any of my podcasting over the last decade, Edge is a very interesting topic to me. Today’s episode is a short update on the state of the edge from a very specific position.
In this discussion, I walk through with Josh why edge has been hard for us to nail down from a technology perspective. This is something of special interest to RackN as we keep honing and refining our IT edge infrastructure technology set.
Transcript: otter.ai/u/OtzOtPvoyiAKZdxJjm…?utm_source=copy_url
Photo by Khoa Võ: www.pexels.com/photo/unrecogniza…down-sky-5780744/
We talk about DataOps, but if you’re expecting this to be DevOps for data – you are mistaken. Today we talk about engineering data through the idea of data stewardship or how you manage and control the data.
Beyond permissions and access into the costs and how things are stewarded, how logs are handled, who controls how much access and how quickly people have access, where you’re putting the data to improve its effectiveness, and more. There is so much going on above the infrastructure, but below that actual analytics, this conversation will open your mind to a whole layer of challenges related to governing and managing data.
Transcript: otter.ai/u/SDaRomv41JtQYM7a6C…?utm_source=copy_url
Photo by Taryn Elliott: www.pexels.com/photo/person-hold…g-on-top-4099125/
https://soundcloud.com/user-410091210/business-value-of-platform-engineering
Platform engineering is quite buzzy and has a lot of hype at the moment.
Today we dug behind the hype to acknowledge how the term is being used and misused. We cover why this is a topic of interest, how it’s driving customer thinking around operations and development teams, how it’s working to establish standard operating procedure around infrastructure and operations to support a business, and how those needs drive the evolution of our technology, infrastructure and design thinking.
Transcript: otter.ai/u/GksMnMIZV0cyM6iwWj…?utm_source=copy_url
Image:www.pexels.com/photo/person-in-b…of-cards-6255293/
Rob’s Hot Take:
In the Cloud 2030 podcast episode on platform engineering, Rob Hirschfeld highlights the evolution of IT from bespoke and custom practices towards standardized operations. He emphasizes the need for easier-to-use systems that conform to standard practices, enabling businesses to optimize and scale infrastructure more efficiently. Hirschfeld discusses the challenges of unique and non-standardized operations within organizations, leading to scalability issues and touches on the broader trend driving platform engineering. He encourages listeners to explore the full conversation on the Cloud 2030 channel and engage in further discussions at 2030.cloud.
https://soundcloud.com/user-410091210/improving-time-to-decision
How do we improve the time to decision for CIOs? Today we talk about general business practice and how we can help.
Technical innovators and architects create value for the teams that they support. This can either be from an automation perspective, which is what RackN does, or from a data perspective, which Tyler describes in the podcast today. These are real challenges.
When we flip the script and talk about the miscommunication between how CIOs see business challenges and translate business challenges into technical delivery, however, we get into a fascinating set of discussions where Joanne brings up some key challenges for 2023. We also discuss mapping those from CIOs into implementation, followed by ultimately trying to find ways that people can make fast, valuable decisions that feel right.
This conversation is rooted in important conceptual executive level thinking. We’ll include the list of points that Joanne talks about below as well as in the show notes, and I highly recommend you check those out.
Joanne Friedman’s Key Challenges for 2023
1. Tackle inflation and margin pressure
2. Migrate supply chain disruption
3. Make sustainability a pillar
4. Calibrate talent management strategy
5, Streamline procurement and sourcing
6. Strengthen digital thread
7. Prioritize innovation initiatives
We try to name these key challenges, but in a lot of cases we are talking about the list or the graphic. You’ll need to refer to the show notes in order to see the complete one.
Transcript: otter.ai/u/sFESW3yziGOolNbiyt…?utm_source=copy_url
Image: www.pexels.com/photo/man-holding…er-board-1117132/
Rob’s Hot Take:
In the Cloud 2030 podcast episode dated February 9, CEO Rob Hirschfeld discusses the challenge of making fast, impactful decisions in a rapidly changing technological landscape. He emphasizes the importance of intuitive understanding and emotional context in decision-making, highlighting the need for clearly articulated goals and consensus building beforehand. Hirschfeld advocates for executives to rely on their intuition, grounded in a solid foundation of groundwork, and invites listeners to engage in ongoing discussions on this topic at 2030.Cloud.
https://soundcloud.com/user-410091210/stochastic-parrots-and-processes
Today is a one on one discussion between me and Rocky Grover about infrastructure, infrastructure patterns, AI, and how all of these systems connect.
We think deeply about what it takes to design great systems and cover a ton of ground to connect it all back together into systems design. Rocky has a lot of depth of experience here.
Transcript: otter.ai/u/EYgaZUm5s36KYrUhDIwcXTkLHcA
Image: www.pexels.com/photo/bird-blue-zoo-large-52549/
Rob’s Hot Take:
In the Cloud 2030 Podcast episode on process infrastructure automation systems, Rob Hirschfeld introduces the concept of a “stochastic parrot,” emphasizing the challenge posed by AI systems that provide answers without a true understanding of the underlying process. Hirschfeld highlights the importance of comprehending the process through which decisions are made, especially as AI, like ChatGPT, becomes more integrated into various domains. The episode delves into the significance of systems thinking, stressing that understanding the process is often as crucial as knowing the output. Listeners are encouraged to explore the insightful conversation from January 17th at the2030.cloud and join the ongoing discussions.