Charles Maxson

The Site Reliability Engineering: How Google Runs Production System book is arguably one of the most prevalent and well-known SRE resources out there, but there are many other great options for folks looking to expand on their learning. We recently spoke to Google's Reliability Advocate, Steve McGhee, in our Humans of Reliability interview series. In addition to his interesting anecdotes on the early days of SRE at Google, and his journey to becoming a Reliability Advocate, he also shared a handful of his favorite SRE resources, which we compiled here into a list: https://lnkd.in/gpUVhyRa

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Are you going to Amazon Web Services (AWS) re:invent in few weeks? I’m excited to join Antony Vance, Principal Engineer at Intel, and Jon Handler,Senior Principal Solutions Architect at AWS, where we’ll demystify GenAI and empower you to build and deploy cutting-edge applications. In our session, we’ll explore the Open Platform for Enterprise AI (OPEA), a collaborative framework that simplifies GenAI deployments. You'll also learn how to optimize Retrieval Augmented Generation (RAG) pipelines on AWS, leveraging the power of Intel® Xeon® processors and the OpenSearch Project.​ Register for this session to learn how Intel and OPEA are shaping the future of AI.​ Register here: https://lnkd.in/gsUUt6n7 ​ #IAmIntel #AWS #reInvent #GenAI  

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Marking a decade of Amazon Cognito, with a big bang! Beyond thrilled to announce the launch of multiple new capabilities to help developers setup seamless and secure authentication within minutes using Cognito! #aws #cognito #preInvent We announced: (1) a #nocode visual editor to personalize and localize sign-up and login experience for applications, (2) low-friction and secure sign-in experience with passwordless login, (3) a revamped #developer experience, and (4) new product packages with the pricing of our Plus package, allowing you to save up to 60% of monthly spend vs previously using our advanced security features! https://lnkd.in/gyTseR8n

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We shared how the new Jellyfish API is unlocking endless possibilities for engineering teams. But what does it actually look like in action? We paired it with Amazon Web Services (AWS) Q Business, a GenAI Assistant, to test its potential. The result? Faster API utilization, natural language insights, and streamlined workflows. Ready to explore what’s possible? Check out the blog for all the details. ⬇️

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We know Amazon Q will be featured at re:Invent. So, you need to make sure you’re up to speed on all its potential. Let’s talk about Amazon Q Developer and all its capabilities to help developers work faster than ever before. Our blog post, "Amazon Q Developer: The Future of Builders," discusses: • Beyond code completion: Q Developer enhances the entire SDLC • Legacy code modernization in minutes, not months • Amazon's impressive feat: 4,500 years of dev work condensed • Our CTO's real-world Python migration story: how Q could have streamlined the process Importantly, Q Developer isn't about replacing developers - it's about amplifying their skills and efficiency. Peek into the future of builders: 🔗https://ow.ly/cShg50TFQUV We're also offering a free 60-minute consultation to discuss your specific Q use case with AWS experts. Learn more: 🔗https://ow.ly/uCKp50TFQUW

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17 days to go ... I've organized my agenda for #MicrosoftBuild and I am sharing 2 sessions daily that I am excited to attend, why, and hear from you if I am missing out on anything!   If you aren't registered yet don't worry - register for #MicrosoftBuild today (in-person/online options): https://aka.ms/build-promo   Session Recommendation 1: Developer’s Guide to Customizing Microsoft Copilot https://lnkd.in/egcbzeCz I often focus on building custom copilots with Azure, so keen to know the capabilities of building on top of Microsoft's copilots as well! And looking forward to learning from my team mate Barnam Bora 😊🎉   Session Recommendation 2: Inside AI Security with Mark Russinovich https://lnkd.in/e-h8A7kC Always going to be a great session from Mark R, but also a highly asked for topic around AI, new types of attacks, red teaming and more - going to learn a lot here.   #MSBuild #GenAI #copilots #events #developer #security #copilotstudio Barnam Bora Jeremy Thake Mark Russinovich

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⚡️ Hard to believe it has been three years in the Amazon Web Services (AWS) Community Builders program. As always, thoughtful and awesome swag and additional #awscloud credits 🔥 Talk about a community that draws the circle bigger 👉 #AWSCommunityBuilder #AWS #CloudComputing #Community #Tech

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AWS continues to add capabilities to Amazon Bedrock that make it the easiest way to build high quality, low latency, and cost-effective GenAI applications. Today the team announced:   - Custom Model Import, which lets customers easily bring their own models (from SageMaker and S3) to Bedrock to leverage its leading GenAI features, such as RAG, agents, Knowledge Bases (guardrails), inference deployment, and advanced customization to keep teaching and refining models.   - Model Evaluation, which lets customers quickly select predefined evaluation criteria (like accuracy and robustness) and run reports that help them understand which is the best model for them.   - Meta’s new Llama 3 models, now available on Bedrock and can support a wide range of use cases including text summarization and classification, sentiment analysis, language translation, and code generation.   - New Cohere Models, Command R and R+, are state-of-the-art FMs customers can use to build enterprise-grade generative AI applications with advanced RAG capabilities, in 10 languages, to support their global business operations. These will arrive on Bedrock in the coming weeks.   - New Amazon Titan models with Amazon Titan Image Generator (GA today) helping customers produce studio-quality images, at low cost, using natural language prompts (and applies an invisible watermark to help reduce the spread of disinformation)… along with Amazon Titan Text Embeddings V2 model, which reduces storage and compute costs, while out-performing other leading models on text embeddings.   Tens of thousands of customers are already building real-world production-ready GenAI apps and we're excited for even more customers to get started. https://lnkd.in/g4rkak47

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A landmark day at AWS, as Matt Garman begins as CEO. His note to AWS employees: 1- customer obsession remains #1, 2- generative AI has enormous promise, and 3-innovate and take risk! Excited to see what this next chapter brings. 👇 In terms of goals, we feel the same way here CloudFix - we help our customers save on their AWS bills using AI, automation, and a huge amount of experience in AWS cost optimization! I'm proud to be part of an AI-first company, and feel like every day I get to work with technology that will play a role in bringing about the "Star Trek"-future I've always been looking forward to! If you want to save on your AWS bill, the first step is to find out exactly where and how much you can optimize. To do this, get a free savings assessment. We can scan your Cost and Usage Report and other usage information, and give you valuable insights on exactly which resources can be resized, snapshotted, which ones are idle and can be deleted, and much much more! Ping me or any of my CloudFix colleagues if you have any questions!

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Excited to share the work we've done to help customers have a single pane of glass visibility into the performance of Amazon Bedrock's generative AI workloads. Amazon CloudWatch provides out of the box dashboards with visibility into Amazon Bedrock related to latency, token count, source of usage, etc. Additionally, you can create your own customized dashboards to monitor additional metrics specific to your application such as the health of RAG retrievals. https://lnkd.in/gBY8maSd Shelbee Eigenbrode Bobby Lindsey Nikhil Kapoor Peter Geng Amazon Web Services (AWS) #aws #generativeai #amazoncloudwatch #amazonbedrock #llm #largelanguagemodels #observability

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As an AWS employee, I'm always eager to expand my skills and knowledge through hands-on experiments during my weekends (fun stuff). One of the things that has truly impressed me is the ease of use and access to models, including open-source ones, provided by Amazon SageMaker and Bedrock. I truly believe that the future of Generative AI lies in adopting a multi-model approach, and the recent launch of Llama 3 further reinforces this idea. In the past, I found Amazon SageMaker to be challenging to use and lacking access to the latest models. However, that's no longer the case! This past weekend I had a really good experience using SageMaker and Bedrock to effortlessly connect Llama 3 to a chatbot. The process was straightforward and user-friendly. I had previously done the same with Claude 3, and the ability to choose any model and use it with the same simple UI is a significant advantage. My next goal is to do some use case comparisons between various models. If you're interested in exploring the capabilities of Amazon SageMaker and Bedrock, I highly recommend giving them a try. The seamless integration of various models, including cutting-edge ones like Llama 3, opens up a world of possibilities for GenAI enthusiasts and professionals alike. Here is my step by step approach that anyone can follow in minutes! 😀 https://lnkd.in/evgNUb2v Feel free to reach out if you have any questions or would like to discuss this further. I'm always happy to share my experiences and insights! #AmazonSageMaker #Bedrock #GenAI #Llama3 #MultiModelApproach

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12 days to go ...   I've organized my agenda for #MicrosoftBuild and I am sharing 2 sessions daily that I am excited to attend, why, and hear from you if I am missing out on anything!   If you aren't registered yet don't worry - register for #MicrosoftBuild today (in-person/online options): https://aka.ms/build-promo   Session Recommendation 1: Create Generative AI experiences using Phi https://lnkd.in/eHU5RAED Phi is the topic of the day, however the pattern this session is describing is super important to understand, what is done locally, what is done in the cloud, and what machine type to use is very important in Gen AI - a topic that is 🔥in this fast paced developer driven world.   Session Recommendation 2: Code-First LLMOps from prototype to production with GenAI tools https://lnkd.in/eENs7Dfm The movement from "what can Gen AI do?" to "how do I get it to production?" has been so fast for a technology trend - with these questions come new innovations, tooling and approaches - SDKs are often at the heart of that for developers. This sessions abstract really does cover end-to-end LLMOps with #AzureAIStudio and #VSCode   #MSBuild #GenAI #copilots #events #developer Samuel Kemp Yufeng Li lo kinfey Lee Stott Cassie Breviu Dan Taylor Marc Baiza #Olive #phi3 #SLM #codefirst #llmops

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11 days to go ...   I've organized my agenda for #MicrosoftBuild and I am sharing 2 sessions daily that I am excited to attend, why, and hear from you if I am missing out on anything!   If you aren't registered yet don't worry - register for #MicrosoftBuild today (in-person/online options): https://aka.ms/build-promo   Session Recommendation 1: Build sophisticated custom copilots with Azure OpenAI Assistants https://lnkd.in/e_95a4qw Assistants is the word of the week for me when it comes to AI. Moving from a model providing information for me to take action, to an assistant being able to take actions on activities we allow the model to is another new area in Gen AI. I want to know everything about assistants and this session looks like it ticks all the boxes   Session Recommendation 2: Safeguard your copilot with Azure AI https://lnkd.in/etMJHKgY Definitely looking forward to an update on safety features that can help production ready Gen AI solutions be relevant and safe for customers. Also 'prompt shields'? - tell me more! I can't wait   #MSBuild #GenAI #copilots #events #developer Andrew Gully Suzana Ilić April Speight Salman Quazi #assitants #AzureOpenAI #ResponsibleAI

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It has been a week since Amazon Web Services (AWS) announced our AWS Generative AI Accelerator and applications have been flying in 🚀🚀🚀 I can't share how many startups have applied, but it definitely has been the most active and exciting of our accelerator launches 🤩 What is awesome about this accelerator is that it's truly global, so startups from anywhere around the global can apply 🌐 As long as your startup is building a tech or tech-enabled product, has a tech lead, a working product, and is still early stage (not raised a Series A), then you are eligible for the program ✍️ Learn more about the program and apply using the link in the post below and remember to submit your application before 11:59 PM ET July 19 📌 #startups #AWS #GenerativeAI #accelerator

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Want to hear from Intuit on how they are using AI? Avni Sharma and Todd Ekenstam are presenting at KubeCrash on October 9th! Intuit’s AI-Native Platform: Simplifying Kubernetes for Developers After running 3,000+ microservices and monoliths on Kubernetes for the last four years, Intuit is building its next-generation AI-native paved-road platform that will enable its developers to define app intent, and the platform will take care of the rest, thereby alleviating the developers from the K8s cognitive overload. We will share our end-user perspective on using Kubernetes and why abstracting networking and compute infrastructure and utilizing AI-powered application autoscaling will enable developers to focus more on what they excel at: writing code. This improves platform maturity and provides developers with an internal developer platform to deliver a delightful developer experience. Attending this talk will teach you how open-source projects, such as Open Application Model, Istio, Karpenter, Argo Rollouts, and Numalogic/Numaflow, can be integrated and extended to build your AI-native application platform, thereby paving a path for increasing our developer velocity by 25%. Don't miss the free, virtual event focused on cloud native / platform engineering! kubecrash.io

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