Dennis Jackson

Put on your MythBusters construction hat and get ready to debunk some myths on platform engineering: Myth #1. Platform engineering eliminates the need for infrastructure teams Myth #2. Introducing platform engineering will dramatically impact staffing costs Myth #3. Adopting platform engineering today will quickly solve all my biggest problems Myth #4. You should apply platform engineering practices to every application Myth #5. All cloud services map to platform engineering Dive deeper into these myths and discover how platforms are built, what they do, and what they don't ⬇️ #GoogleCloud #Google #Alphabet #Cloud

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Customers often ask if Amazon Q Developer is only for Amazon Web Services (AWS) workloads. The short answer is no. Our developer platform can add value to your on-premises development and multi-cloud needs, regardless of your platform. Our partners at Heroku have a great use case for this. Check out their blog post on how the Amazon Q Developer / Heroku integration simplifies their customer workflows.

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Very interesting commentary from J Schwan (thank you). What is the primary driver of increasing M&A and VC activities if base rates are likely to be relatively flat? Generative AI is referenced, but is AI disruption a primary factor especially If speed and innovation (new value) trumps “cheap” commodity offshore resources. Finally, I am curious if AI leads to much deeper digital transformation pressures? Is it “better” to build new rather than transform old?

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This is from last year's FinOps X. If you watch it, one of the takeaways is that [data and providing access to data to support interesting joins are not just important, they are the secret]. I often prioritize discussions about architecture over resource utilization, especially database selection. While there are opportunities in utilization analysis and SKU selection, the most impactful ones lie in architecture. The most stimulating conversations arise when data reveals that a team could achieve significant cost reductions, up to 3x, by altering their data storage approach or adopting a different tool. What is the challenge for the FinOps community? We hear much discussion of savings plans, CPU graphs, and committed use discounts, but those distract from the honest discussion—efficiency is about architecture. Suppose you can get architects to think about efficiency at the start of a project and empower engineers to understand how everyday technology choices drive cost. In that case, that's the secret to success.

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Witness the power of #AWSCloud in fintech! Capital One is leveraging machine learning to revolutionize fraud detection, striking the perfect balance between customer protection and minimizing false positives. Dive deep into how they harness data analytics and AWS tools to enhance user experiences, make informed decisions, and ensure top-notch security. Are you intrigued by how AWS is transforming the fintech landscape? Explore this customer story and contact He-Eleven.1 Consulting to embrace the future of financial technology with AWS!

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Agents for Amazon Bedrock support memory retention and code interpretation - now in preview. Dynamically generate code and run code snippets and enable your agents to learn and adapt over time. #AWSome #GenAI #AmazonBedrock https://lnkd.in/gAj2N9q4

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There's so much more that goes into enabling an #ai driven business than just the #llm and #genai platform. To get the value out of these solutions, IT leaders need to think about the broader landscape. These applications need to to be integrated, automated and driven with data. #ibm #apic is bringing #graphql to the platform to help in just these scenarios. It's an exciting capability brought into the fold last year, and a important part of the ecosystem for data driven organizations!

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To boost developer productivity, it's crucial to prioritize outcomes, minimize distractions, and maintain a well-rounded approach to technology, processes, and communication! 💡 Tune in to the Dev Interrupted podcast with Tara Hernandez, VP of Developer Productivity at MongoDB, as she delves into the complexities of developer efficiency and the influence of AI in engineering landscapes. ⬇️ https://lnkd.in/gn-W9xRy

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Tens of thousands of customers are leveraging AWS's generative AI solutions. Based on our customers feedback, security is "the" top priority. That's why we take it so seriously, making it a key focus on compliance, safety, and responsible deployment. Capabilities like data isolation, encryption, secure connectivity, and model access controls are crucial to keep your generative AI application safe and secure. Check out our latest blog post for more details on how AWS Bedrock provides a secure, compliant, and responsible foundation for building your generative AI solutions: https://lnkd.in/dwK7tVsu #AWS #GenAI #AmazonBedrock #Security #Compliance #responsibleAI

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🚀 400Gbps AWS Direct Connect ports with MACSec support! 🚀 Not only did we launch 400Gbps ports for AWS Direct Connect, but these ports also support MACSec (Layer 2 encryption). This is a game-changer for customers requiring high-speed private connectivity with added security. MACSec provides Layer 2 encryption, ensuring data confidentiality and integrity as it travels between customer networks and AWS. Customers that require Layer 2 confidentiality and integrity or high-speed encryption for their Direct Connect connections will benefit from using MACSec, at no additional cost!

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Dear Architects, If you've followed me over the past few years, you know I advocate for the three pillars of designing and implementing distributed systems: culture, organization, and architecture. In this video, Sam Newman interviews Sarah Wells about her new book, "Enabling #Microservice Success". It's already on my bookshelf, and it should be on yours too! Next up, Booking.com presents their internal platform for #observability. Can they leverage events and handle tens of millions of events per second on this platform? Let's find out in this case study. Sheen Brisals, an O'Reilly author, sheds light on how to tackle complexity in serverless applications. I highly recommend reading this perspective from a practitioner innovating with #serverless technology at a company like the LEGO Group. We continue our exploration of the impact Generative AI will have on #developers. Will it change the role of junior developers? Finally, #agile doesn't mean having no plans for building software. Investing in designing software with a lean mindset is still a smart way to overcome challenges during development. This post aims to show you how event modeling can help design your systems effectively. LINK TO THE NEWSLETTER: https://lnkd.in/etGTM_sZ InfoQ #web #architecture #software #distributedsystems #book #genai #generativeai #ml #development #thoughtleaders

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In this post, I talked about the journey through learning AWS, including the failures you will experience along the way through tarot cards. Even if you know nothing about tarot, it should give you insight into how your cloud journey will go! #awscommunitybuilders #aws https://lnkd.in/gJfGdxp4

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Free your team to focus on what truly matters: Innovation. 💡 Join this webinar on July 17, 11 am ET to discover how MongoDB Atlas on Google Cloud eliminates database complexities and helps you deploy gen AI-powered apps faster and at scale. 👇 https://lnkd.in/gywuvXGS

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Join this two-part webinar series designed to help you leverage Oracle's MicroTX and Transactional Event Queues in the #AutonomousDatabase and take your microservices to the next level. https://lnkd.in/gUZ4eVK8

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When freshness matters, tech upgrades can’t slow operations. Learn how Del Monte Foods, Inc. reduced infrastructure cost by 57% and security risks by 50% using Microsoft Azure and Microsoft Security—all with minimal business disruption. https://lnkd.in/g2gU5J5S #MSFTAdvocate #MicrosoftStories #Azure #cybersecurity

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My newest blog post describes how we still work to improve the performance, security, and internal efficiency of the very first #AWS service: "Optimizing Amazon Simple Queue Service (SQS) for speed and scale" - https://lnkd.in/gjjk76Bn

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Explore the potential of MongoDB Atlas CDC and AWS Glue Streaming to transform data strategies. Unveil how businesses can leverage streaming data from legacy systems such as SAP and Mainframe for enhanced analytics and insights. https://lnkd.in/gTNuJjZP

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