Mark T. Nelson

🚀 Exciting News: Official Release Date Announced for Head First C#! 🚀 I'm thrilled to share that the release date for "Head First C#" (5th Edition) has been officially announced on Amazon! 🎉 Mark your calendars for August 13, because this is when all the hard work comes to life. I've poured a lot of effort into making this edition something special. My goal was to create a book that not only helps beginners dive into programming but also provides experienced developers with new challenges to sharpen their skills. I wanted to ensure there's something valuable for everyone. I'm really excited to hear what you think about it! Here's what you can look forward to: • Interactive Projects: Dive into a variety of projects that make learning C# fun and memorable. • Game-Based Learning: Use games to understand complex programming concepts easily. • Practical Exercises: Build real-world applications and gain hands-on experience. I can't wait for you all to get your hands on it and start your C# journey. The countdown begins now! Thank you for all the support, and stay tuned for more updates. Get ready to level up your coding skills with "Head First C#"! #HeadFirstCSharp #CSharp #Programming #SoftwareDevelopment #TechBooks #OReillyMedia #BookLaunch #Excited #LearnToCode #DeveloperSkills O'Reilly

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AWS re:Invent is less than two weeks away. Want to accelerate your AI initiatives? Let's connect in Vegas and discuss how Meibel enables your engineering team to build Explainable AI into your products and experiences.

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This is another huge step forward for Appvance IQ. Since we introduced our AI Coverage Map in 2020, it has become a key feature in how AI Automation Engineers and their Dev counterparts strategically deploy unlimited AI testing resources targeting the most business-critical and vital user flows. The new coverage maps in 5.2 bring even more insight into how enterprise applications are really working and where defects are lurking, where performance is lagging, and where risks are undetected. Let me know if you'd like to learn more.

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A good friend recommended me to try Cursor.sh, so I did. I was not ready for what happened next. But first, let's start with a little idea I had for a while. Every time I needed to check a text, I needed to find my tab with ChatGPT, login if disconnected, start a new chat, type "fix typo:" then paste my text to fix, then copy the text back. Not efficient. I knew that using OpenAI APIs I could do a simple website that would do the same, but without the need of writing "fix typo:" every time. A simple hack. Of course I never found time to start this pet project. Until I decided to give it a try with Cursor.sh and made it real is a couple of hours. fix-typos.com

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Another day, another new, faster #LLM. Meet Claude 3.5 Sonnet from #Anthropic. "Claude 3.5 Sonnet operates at twice the speed of Claude 3 Opus. This performance boost, combined with cost-effective pricing, makes Claude 3.5 Sonnet ideal for complex tasks such as context-sensitive customer support and orchestrating multi-step workflows." https://lnkd.in/ecXUMhKE #AI #genAI #CX #AIorchestration

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If you are working with Docker... I highly recommend looking at the Slim toolkit. https://lnkd.in/gX_Gb9Kf Why? Slim allows developers to inspect, optimize, and debug their containers using its xray, lint, build, debug, run, images, merge, registry, vulnerability (and other) commands. It simplifies and improves your developer experience building, customizing and using containers. It makes your containers better, smaller and more secure while providing advanced visibility and improved usability working with the original and minified containers. Don't change anything in your container image; minify it by up to 30x to make it secure, too! Optimizing images isn't the only thing it can do, though. It can also help you understand and author better container images. Keep doing what you are doing. No need to change anything. Use the base image you want. Use the package manager you want. Don't worry about hand-optimizing your Dockerfile. You shouldn't have to throw away your tools and your workflow to have small container images. Node.js application images: from ubuntu:14.04 - 432MB => 14MB (minified by 30.85X) from debian:jessie - 406MB => 25.1MB (minified by 16.21X) from node:alpine - 66.7MB => 34.7MB (minified by 1.92X) from node:distroless - 72.7MB => 39.7MB (minified by 1.83X) Go application images: from golang:latest - 700MB => 1.56MB (minified by 448.76X) from ubuntu:14.04 - 531MB => 1.87MB (minified by 284.10X) from golang:alpine - 258MB => 1.56MB (minified by 165.61X) from centos:7 - 615MB => 1.87MB (minified by 329.14X) Rust application images: from rust:1.31 - 2GB => 14MB (minified by 147.16X) Java application images: from ubuntu:14.04 - 743.6 MB => 100.3 MB

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See you in Vegas so we can talk Placer.ai and your organization's needs!

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Vector data is central to how enterprises build useful AI applications and, according to this new Retool report, MongoDB is central to how enterprises store and process vector data. 😍

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While attending a conference recently, I had a conversation with a leading technology CTO. His concern was simple but powerful: ‘Our current system is rigid. It slows us down.’ He went on to explain how their data infrastructure, though powerful, couldn’t keep up with the company’s evolving needs. This is a problem many businesses face today. Systems that were once state-of-the-art are now inflexible, unable to adapt to new demands. That’s why composability is so important. It’s about breaking down monolithic structures and allowing businesses to innovate at their own pace. At Syntasa, we’ve built a composable CDP that enables companies to add or remove data capabilities as needed — without disruption. Imagine running your marketing campaigns with the freedom to experiment, pivot, and grow without being held back by your tech stack. Composability is the new agility, and it’s time every company embraces it. https://lnkd.in/eWBJAzGb

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Very useful overview of the CDN market...

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Who is IT's Gloria to pull off the veil of being stuck in the outdated world of reactive IT? If you've seen the Barbie movie, you know what I'm referencing. The short answer is data, but it's worth reading this Lakeside Software CTO Elise Carmichael's latest Forbes article to learn more. #AIThatSpeaksIT

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First story on what we have been up to at Augment. Much more to come! https://lnkd.in/gC6gbADA

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In building robust, scalable distributed systems, it’s tempting to lean on events as a primary abstraction. But are they really the best approach? In this blog post I explore why events often fall short for complex systems and how a reimagined abstraction can simplify development and reduce failures: 👉 Covered topics * The pitfalls of an event-driven approach. * How durable execution offers a better path for distributed architectures. * Why this rethink could simplify and improve your distributed system. If you’re working with distributed systems, this article might just offer the perspective shift you need. #DistributedSystems #SoftwareArchitecture #EDA #Temporal #Rethink

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The past two years at StarTree, working with the Apache Pinot community, have been fantastic. I’ve been able to get to know some incredibly talented people, and it’s validated my perspective that the advent of event-driven architecture is real and pressing, and even more interesting than I realized. Looking back, I’d never spent that much time focusing on analytics and the huge set of tools and concerns that attend it. It’s a critical ecosystem with a history deeper than digital computing itself, and I anticipate a lot of fruitful work with the Pinot community in the months and years to come. That being said, it’s ironic that my time working with this community has crystallized an important idea I’d been developing since before I joined it. The disruption introduced into our world by the perfect storm of the cloud, microservices, and ubiquitous Kafka has created an entirely new approach to building business software. It’s new, uncharted territory to be explored—and I want to help map out as much of it as possible, together with the hundreds and thousands developers who are doing the work of building applications in this new world. That’s why I’ve decided to transition from StarTree, and return to Confluent as VP of Developer Relations. The most valuable thing we can do as developers is write differentiated code that provides meaningful value to our customers or users. That code sits atop a huge stack of what is, with respect to their businesses, undifferentiated software—various kinds of frameworks and infrastructure components—that solves hard problems that application developers shouldn’t have to spend time on. They shouldn’t build that software, but they need to know how to navigate the terrain and make choices in the space they can trust. The problem is that the event-driven revolution has thrown a somewhat stable stack into relative disarray, so some of us are lured into creating little bits of data infrastructure in that unknown area between our code and Kafka. Those of us who are able to avoid that temptation still aren’t totally clear on what all that terrain looks like, and what infrastructure should even live there. History suggests this could take another five to ten years to stabilize. It will require the input of many communities, vendors, and a world full of developers. In my opinion, Confluent is the company that is best positioned to significantly move the needle on this problem, and that’s why I’m excited to (re)join them. One company can’t do it all, but their vision of the Data Streaming Platform is exactly what I’m talking about here. The opportunity to lead a world-class developer relations team at the company which has pioneered the journey so far, and is building the most comprehensive vision for its next stage, is a tremendous one. I’m delighted to be back, and eager to do my part to help chart our course to the future. It is, as I am wont to say, a wonderful time to be alive.

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This episode of Sequoia Capital's "Crucible Moments" series offers a fascinating look into MongoDB's journey from a startup to a cloud platform powerhouse. It takes us through the company's journey, from when our founder, wight Merriman, created a product in 2007 that developers adored and then overcame the challenges of scaling it, to the shift from on-premise software to Atlas, our developer data platform. Today, as we approach $2 billion in annual revenue, I'm proud to say that MongoDB has evolved into much more than a niche database. We're now a comprehensive data platform that puts its developers first and is constantly learning and evolving to meet the vision of our customers. Dive into the insights from Dwight Merriman, Dev Ittycheria, and Tom Killalea, taking you through the company's most critical moments and decisions. #MongoDB #cloudcomputing #developers

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When talking to people about Copilot, one of my favorite things to do is to share with them how I use Copilot every day in the course of doing my job. As you can imagine, summarizing Word documents is one of my go-to uses of Copilot. When I learned that the Word team enhanced Copilot to summarize even larger documents, I was very excited. This enhancement allows me to more efficiently review more of the documents shared with me and fine-tune where I'm spending my time with the team. What Copilot enhancements would you love to see next?

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You know about Tome's awesome AI slide generation tool. Now we’re building a platform for sales teams, powered by our own custom LLMs. We need Applied Researchers and ML Engineers to help us make this happen! Want to join us? Over the last few months, we’ve sharpened the focus of our company to enterprise customers, and the focus of our highly successful slides tool to the most valued presentations in the world: the ones that sales teams use to win new business. We’re building a sales assistant for the work that goes on before that presentation can be created. The deep research to understand your customer, what they care about most, and which aspects of your product can help them succeed. Our domain-specific AI approach outperforms generic LLMs. It’s better at business intelligence, buyer research, and value articulation than general purpose models. And we’re growing our ML team. If you’re inspired by the challenge of building innovative new AI products for people doing serious work, check out these roles and let us know! - Machine Learning Engineer - MLE, Applied Research & Model Development - MLE, GenAI Platform Want to learn more about the next chapter of Tome? Our new site is now up here:

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More leads 👏 More meetings 👏 More opps 👏 More revenue 👏 Say no more Scott Cecil. We love seeing how you and the Anyscale team connect the dots between developers, decision-makers, and everyone in between using signals, context, and automations from Common Room. We 🖤 sharing our customers' wins: https://hubs.ly/Q02Lw4F00

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💥 The latest episode of the NexGen CMO Podcast just dropped, and trust us—you won't want to miss this one! Host Kelly Hopping, CMO, was joined by none other than Wes Schaeffer, The Sales Whisperer. 🤯 Together they reveal hidden insights about bridging the gap between sales and marketing. Tune in now for transformative insights that will revolutionize your sales and marketing approach: bit.ly/3SJnDOv

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