Brady Gaster: Orleans - Episode 221

Brady is a Principal Program Manager on the Azure Developer Experience team at Microsoft where he works on Orleans, SignalR, microservices, APIs, and integration with Azure service teams in hopes to make it exciting for developers who work on .NET apps to party in the cloud!

Topics of Discussion:

[4:17] Moving around a lot gave Brady a lot of insight into all the different ways that we can benefit developers and all the different opportunities we have to make things better.

[6:30] The people in Docs hack all the time.

[7:01] What is Orleans?

[11:40] What's the best database to use for distributed applications?

[21:10] Open telemetry gives us the capability of being able to trace messages that go from one end of your system all the way to the other end of your system through multiple silos and multiple clients.

[22:08] The three pillars of observability: logging, distributed tracing (which is really where open telemetry shines), and then metrics.

[26:02] How does the traceability side of open telemetry apply to Azure?

[28:02] What else should we know about Orleans?

Mentioned in this Episode:

Architect Tips — New video podcast!

Azure DevOps

Clear Measure (Sponsor)

.NET DevOps for Azure: A Developer's Guide to DevOps Architecture the Right Way, by Jeffrey Palermo — Available on Amazon!

Jeffrey Palermo's YouTube

Jeffrey Palermo's Twitter — Follow to stay informed about future events!

Programming with Palermo

programming@palermo.network

"Brady Gaster on SignalR and More"

Brady Gaster

Brady Gaster GitHub

Brady Gaster Rock Paper Orleans

Brady Gaster Website

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Visit AzureDevOps.Show for show notes and additional episodes.


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Matthew Renze: Developing Your AI Strategy - Episode 220

Matthew Renze is a data science consultant, author, and public speaker. He is the founder of Renze Consulting, an AI consulting company that has trained over 400,000 software developers and IT professionals. His clients range from small tech start-ups to Fortune 500 companies. He is also the President of Serenze Global, a 501(c)(3) non-profit organization dedicated to improving access to technology education for under-represented individuals by empowering the next generation of tech community leaders. Matthew is currently working on his Master's degree in Artificial Intelligence with a Data Science specialization at Johns Hopkins University. He currently has double degrees in Computer Science and Philosophy with a minor in Economics from Iowa State University. He is a Microsoft MVP in AI, an ASPInsider, and an author for Pluralsight, Udemy, and Skillshare. His interests include AI, ML, data science, mindfulness, technology education, and tech community leadership.

Topics of Discussion:

[3:37] How Matthew got into software development and rebranded himself as a data science consultant before going independent as a consultant. Now, he is in the process of rebranding as an AI consultant, rather than a data science consultant, still with a foundation in data science.

[4:41] What exactly is AI?

[6:23] Matthew discusses what a traveling salesman is.

[9:15] Matthew sorts out the difference between AI and ML for us.

[10:35] Artificial intelligence typically includes a bunch of other tools, in addition to machine learning.

[11:11] We now have more enhanced versions of machine learning that fall under the umbrella of AI, like deep learning, and reinforcement learning, which are all built on top of the idea of machine learning.

[12:12] What are the levels of education that should exist within an organization?

[14:49] What can be automated now that used to not be able to be automated?

[19:03] How GitHub co-pilot can help.

[20:14] What is an AI Factory, and why are people arguing over it?

[21:32] If we can eliminate our busy work, we can essentially get models built quicker, get data science done quicker, and get things automated quicker.

[22:20] The DevOps platform.

[27:40] One of the biggest questions that remain with AI is if we end up with more jobs created as a result of artificial intelligence than are eliminated by it.

[31:32] Okay, let's say how to pronounce data correctly.

Mentioned in this Episode:

Architect Tips — New video podcast!

Azure DevOps

Clear Measure (Sponsor)

.NET DevOps for Azure: A Developer's Guide to DevOps Architecture the Right Way, by Jeffrey Palermo — Available on Amazon!

Jeffrey Palermo's YouTube

Jeffrey Palermo's Twitter — Follow to stay informed about future events!

Programming with Palermo

programming@palermo.network

"Matthew Renze on Data Science for Developers"

Matthew Renze

Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World, by Marco Iansiti Karim R. Lakhani

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Donovan Brown: Microservices DevOps - Episode 219

Donovan Brown is a Partner Program Manager in the Azure CTO Incubations team at Microsoft. The Incubations team focuses on forward-looking development and innovation to facilitate the development of new projects and ideas. Before joining Microsoft, Donovan spent seven years as a Process Consultant and a Certified Scrum Master. Donovan has traveled the globe helping companies develop solutions using agile practices in many industries. Donovan is an avid programmer, often finding ways to integrate software into his other hobbies and activities.

Topics of Discussion:

[3:02] Donovan talks about the high points of his career and what led him to work in the Azure CTO incubations team at Microsoft.

[7:14] What are the differences in a DevOps environment for microservices from an interior application?

[9:49] There can be pure and perfect pipelines for microservices, but there's a whole bunch of gray there.

[12:25] Microservices are as small as they can be but no smaller.

[14:22] Donovan shares that what he is thinking about is which of these do I need to scale independently of everything else, and how can he then write it in such a way that it works.

[18:44] Donovan shares why he calls himself "test aware."

[25:57] How do you decide if a microservice needs to scale separately from the rest of the application?

[31:02] When Donovan thinks of Web3, the first thing that pops into his mind is blockchains.

[32:18] To Donovan, the technology is about the blockchain that underlies it, the ability to write smart contracts that live on that blockchain, and being able to democratize a lot of things that today are centralized through the people who do our authentication for us and who own our data.

[34:53] What's the current state of DevOps, and where are we on the Web3 curve? Donovan talks about the need to educate yourself about it, and to make sure you listen to a diversity of opinions.

[41:35] NFTs can actually be used for really clever use cases that a lot of people just haven't seen yet.

Mentioned in this Episode:

Architect Tips — New video podcast!

Azure DevOps

Clear Measure (Sponsor)

.NET DevOps for Azure: A Developer's Guide to DevOps Architecture the Right Way, by Jeffrey Palermo — Available on Amazon!

Jeffrey Palermo's YouTube

Jeffrey Palermo's Twitter — Follow to stay informed about future events!

Programming with Palermo

programming@palermo.network

How to Use Azure DevOps Services with Donovan Brown

DevOps for Web3 series

Donovan Brown at MS Ignite 2022

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Visit AzureDevOps.Show for show notes and additional episodes.


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Dave McKinstry: The Evolution of DevOps - Episode 218

Dave McKinstry. Dave is a Director at GitHub helping to drive the FastTrack program. Prior to GitHub, he worked as a Program Manager with the Azure DevOps Services Community Team — connecting with partners and customers, spreading modern practices, and helping developers succeed with DevOps and Azure. Prior to his position at Microsoft, he has been in software services and technical sales for over 30 years. As a consultant, principal consultant, co-owner, and manager, he has always helped people efficiently build better software. He loves what he does as a technologist and enjoys being a part of today's rapid technology evolution.

Topics of Discussion:

[3:05] Dave talks about getting into consulting, and then finding his way to Azure DevOps before joining Microsoft, and ultimately GitHub.

[4:27] What is the difference between Microsoft and GitHub? How do they do things differently?

[7:57] The evolution of DevOps and how it has evolved over time from the start to now.

[9:53] Why DevSecOps is redundant. Security has to be part of everything we do. So security is every engineer and every product owner. For anyone working in your company, security is part of their job.

[11:00] Dave discusses Inner Source.

[15:05] Having cultural trust is extremely important. Can you trust the people that you have working for you to do the best work they can for your organization? If the answer is no, there are probably other problems, other things to worry about.

[16:08] You can see the code of anything external that's been shared, but there are a lot of organizations with multiple software teams who just don't automatically give their own employees even read access to the repositories of the other team.

[21:50] Microsoft has kind of done some things to strengthen GitHub, like hosted build agents and others, and then GitHub does things that strengthen Microsoft.

[30:05] Where does Dave think the industry is headed in the future?

[31:51] Regardless of how big the company is, developers should be better empowered.

[32:03] Plug for GitHub Universe.

Mentioned in this Episode:

Architect Tips — New video podcast!

Azure DevOps

Clear Measure (Sponsor)

.NET DevOps for Azure: A Developer's Guide to DevOps Architecture the Right Way, by Jeffrey Palermo — Available on Amazon!

Jeffrey Palermo's YouTube

Jeffrey Palermo's Twitter — Follow to stay informed about future events!

Programming with Palermo

programming@palermo.network

Dave McKinstry on Integrating Azure DevOps and the Culture of DevOps - Episode 005

GitHub

GitHub Universe

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