Hashicorp made a license change into a BSL, a business license which is not open source that allows or makes code available, but instead restricts the use of Hashicorp products to people who are effectively paying customers or enterprise customers. If you're embedding or repackaging the software or competing with Hashicorp, you are prohibited from using it. We spent this podcast looking into why, how, and what implications there were, as well as historical precedents. References * https://www.runtime.news/hashicorp-closes-a-door/ * https://opentf.org * https://blog.gruntwork.io/the-future-of-terraform-must-be-open-ab0b9ba65bca * https://spacelift.io/blog/spacelift-latest-statement-on-hashicorp-bsl * https://ir.hashicorp.com/news-releases/news-release-details/hashicorp-announces-first-quarter-financial-results-fiscal-0 * https://www.hashicorp.com/license-faq#competitive-product-bsl-coverage * https://www.linkedin.com/posts/rhirschfeld_hashicorp-closes-a-door-activity-7097631727665233920-MxcP/ Photo by BİLAL KARADAĞ: https://www.pexels.com/photo/yk-1-17939409/ Transcript: https://otter.ai/u/ZjTzZZiYh_dXri3rSkjkD50GPuc?utm_source=copy_url

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: https://otter.ai/u/SDaRomv41JtQYM7a6C1Hy7cOpy8?utm_source=copy_url Photo by Taryn Elliott: https://www.pexels.com/photo/person-holding-cupcake-with-white-icing-on-top-4099125/

This is the second installment of our book group, which is a discussion about Investments Unlimited. We have one of our authors, and a great all around DevOps enthusiast, John Willis, on the call with us. As you might expect, while we talk about the book and John gives a lot of background and details about the book, we treat it with the classic cloud2030 style, and bring in AI, large language and advanced DevOps. We take the topics of the book to the next level, and frame it in the moment of the year, looking beyond and into how the concepts of compliance, validation, team coordination and risk assessment are incorporated into the coming AI and how it changes in our landscape. Sources Book https://www.amazon.com/Investments-Unlimited-Compliance-Thriving-Digital/dp/1950508536 https://techstrong.ai/aiops/the-rise-of-shadow-ai/ https://guidehouse.com/insights/financial-services/2021/public-sector/garp-three-lines-of-defense Transcript: https://otter.ai/u/uC9c3xJS4oATQx7BrYeHAOjFHsY?utm_source=copy_url Image is book cover

Is Kubernetes actually creating the amount of cloud portability of infrastructure agnosticism that we hope it will? If we're using the same platform across multiple clouds, multiple infrastructures, multiple management teams, does that actually create portability? It's a key question for us in building cloud architectures, making decisions about the architect and about how we build architect applications, and even how we structure our teams. In this conversation, we get to the heart of answering that question, but our answers might surprise you. Transcript: https://otter.ai/u/ASE9dLnP8qo2jednZB5CoDhqLVc?utm_source=copy_url Image: https://www.pexels.com/photo/black-and-white-border-collie-puppy-in-brown-bucket-3908821/

The Red Hat changes in how they publish the source code for CentOS sent a stream specifically, but unlike all the other conversations that I've heard, we dive into how enterprises can inoculate themselves from this type of disruptive change. We also address what it means for the ecosystem of vendors and how we can build better software in response to the potential fragmentation of Red Hat, Linux Enterprise Linux or Enterprise Linux distros. This was a surprising conversation, because we addressed a lot of important trends in how companies depend on Linux stability, and what they could do. If you are in this boat with all of us looking at how to have stable long term secure infrastructure using Linux, you will love this podcast. Sources: https://www.theregister.com/2023/07/10/oracle_ibm_rhel_code/ https://www.zdnet.com/article/oracle-takes-on-red-hat-in-linux-code-fight/ https://www.suse.com/news/SUSE-Preserves-Choice-in-Enterprise-Linux/ https://www.zdnet.com/article/why-snap-and-flatpak-make-linux-a-better-os-for-the-average-user/ Transcript: https://otter.ai/u/dmrcCulS0X1CC4YGHOWtzMdXyio?utm_source=copy_url Image: https://www.pexels.com/photo/photo-of-people-sitting-beside-table-3182755/

We use ChatGPT to live create DevOps, automation, Ansible, TerraForm, Python, and interact with different clouds to get advice on how to set up clouds. This discussion includes a screen share session, so if you're listening to this audio there will be times when we are talking about something you can't see but I do make a point of working to explain what we're doing. There’s also a video of the screen share session if you prefer. Video: https://youtu.be/hU7pUDfliGk Transcript: https://otter.ai/u/MPvT7SP0FCSe02asm8_iSunXz6o?utm_source=copy_url Image: https://www.pexels.com/photo/pink-background-with-speech-bubble-1111369

What does it take to make a good decision? We discuss an interesting take on this as we integrate the topic of how to sell into situations, and selling is the ultimate drive in a decision. Our conversation mixes the challenges of making decisions as a leader with the challenges of selling into organizations where people have to make a decision to choose your product. It also includes tips on how to frame decisions, how to position decisions, and more. If you engage in projects and selling them to your boss, supervisor, company, peers, reports, etc - you need to be able to understand why it is important to move forward and make a decision or change. If you're not able to sell, you’re not well equipped for being a leader. Transcript: https://otter.ai/u/1SRbrNbmISOgTUyV2Xp8AZtmKZU?utm_source=copy_url Image: https://www.pexels.com/photo/man-looking-at-a-vintage-car-3056057/

What can we expect generative AI to generate and is it going to produce good code? Today we talk about Gluecon and generative DevOps and the different concepts and capabilities around it. What impact is it going to have on developers? How do we control that? Today’s discussion was in preparation for our session on June 13, where we're going to group program GPT to see what type of DevOps coding skills we can prompt. We talked about the necessity of prompting in this session and covered some tips to help you think about how to be a better prompt engineer, a skill set that everybody's going to need to have in the next months if not years. Transcript: https://otter.ai/u/lsye_htH0-wksAOrqgbUu5TCtpU?utm_source=copy_url Image: https://www.pexels.com/photo/man-welding-round-window-frame-2965260/

What actually is used to describe the provenance and information that comes with our data? Today we discuss metadata and the governance, security, hint, domains, date that accompany data in ways that in some senses are more important than data. How can we move, change and transform data? We had a really robust conversation about how access to data is so critical in actually understanding how data is used. This is a topic we struggle with: figuring out the naming, how things work, and the context. More than anything else, the context makes things challenging. As you listen to this, think through how challenging it is to define data, data governance, and using data effectively. Transcript: https://otter.ai/u/VE2u_jTwG_h4z9ewfI0bya7kvmg?utm_source=copy_url Image: https://www.pexels.com/photo/cheerful-black-teacher-with-diverse-schoolkids-5905918/

What would our systems look like if we didn't have Kubernetes? We started this discussion with platform engineering and its associated challenges. In talking about platforms, we covered ways in which people can consume infrastructure more effectively. That segwayed directly into ways in which Kubernetes could be changed under the covers, used for virtualization use for non traditional containerized automation. This episode is a pretty thorough review of alternatives to Kubernetes, and the ways in which Kubernetes misses the mark. Transcript: https://otter.ai/u/0qX-qloVOzAQ47LgpS2A9yXsoWs?utm_source=copy_url Image: https://www.pexels.com/photo/wrecked-ship-2336927/