Aleksander Popov

Join us for an exclusive webinar sponsored by Google Cloud and NVIDIA on June 27 at 11AM ET! As enterprises navigate hybrid and multi-cloud landscapes, the management of networks becomes pivotal. Discover how AI is reshaping business agility and learn key insights from industry leaders Muninder Singh Sambi of Google Cloud and Neelay Shah of NVIDIA. Don't miss this 30-minute session to uncover strategies for securing, streamlining, and scaling your network effectively. Register now for actionable insights and practical advice.

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📈Amazon Q3 Earnings Exceed Expectations, Driven by Cloud and Advertising Growth.🚀   Amazon delivered strong Q3 earnings, surpassing expectations on both earnings per share ($1.43 vs. $1.14 expected) and revenue ($158.88B vs. $157.2B expected).   🔍 Key highlights include: **Amazon Web Services (AWS): Revenue was slightly below expectations at $27.4B, but growth accelerated to 19% YoY, a rebound from 12% last year, showing strength even as AWS grows slower than competitors like Microsoft Azure and Google Cloud. **Advertising: A standout performer with 19% growth YoY to $14.3B, outpacing Amazon’s core retail business and marking the highest growth among online ad companies this quarter.   📊 Amazon’s operating income surged 56% YoY, thanks to cost-cutting initiatives, including structural adjustments. Wall Street has rewarded this 💡 efficiency push, with Amazon shares up about 23% year-to-date. 👀 Looking forward, Amazon anticipates Q4 revenue between $181.5B and $188.5B, reflecting 7-11% growth YoY, though just shy of analyst expectations at the midpoint. With a robust foundation and ongoing efficiencies, Amazon’s outlook remains positive as it navigates a competitive tech landscape. #Amazon #Earnings #AWS #Advertising #Tech

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For a complete solution to realtime voice transcription and translation. Explore how to host the Whisper model with streaming mode on Amazon EKS. Check out this blog by Darren Lin, Frank Fan, Bonnie Ng, Shawn Zhang, and Eunice Tsao. The post provides a detailed guide on leveraging Ray Serve to create a scalable, low-latency architecture for real-time audio transcription. This setup ensures efficient model serving with auto-scaling capabilities using Karpenter on Amazon EKS. Dive into the technicalities and streamline your Automatic Speech Recognition applications today! Read more: https://lnkd.in/ghHGUG_P #AWS #EKS #RayServe #MachineLearning #ASR #Containers

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Great news for all Amazon Aurora users! We now supports PostgreSQL versions 16.4, 15.8, 14.13, 13.16, and 12.20. Stay updated with the latest enhancements and features. Check out the details here: https://lnkd.in/gpejusyz Explore the release notes for each version: - PostgreSQL 16.4: https://lnkd.in/gspT4bNr - PostgreSQL 15.8: https://lnkd.in/gSei-xYx - PostgreSQL 14.13: https://lnkd.in/gyrxJBd7 - PostgreSQL 13.16: https://lnkd.in/gNdPkNZn - PostgreSQL 12.20: https://lnkd.in/g7iKPkG5 Don't miss out on these exciting updates and improvements! #AmazonAurora #PostgreSQL #DatabaseManagement

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If you watched Werner Vogels re:invent keynote, you enjoyed his talk on distributed databases and clock synchronization, as I did. if you were writing a blog series on atomic counters in distributed databases, you would have jumped on your seat like I did. 🦘 In my latest blog post, I dive deep into how to implement the atomic counter pattern using DynamoDB — a serverless NoSQL database that makes it easy to build scalable and consistent systems. 🔍 What you’ll learn: • A quick refresher on serializability and linearizability in DynamoDB • How conditional writes and atomic operations can help manage distributed counters • Step-by-step code walkthrough for setting up a DynamoDB-based atomic counter with AWS Lambda and API Gateway • Unit testing adoption for ensuring reliability • Trade-offs and considerations for building distributed counters in production environments 💡 Bonus: Insights into how AWS Time Sync Service supports strong consistency in DynamoDB Global Tables. Check out the article here 👉 https://lnkd.in/d9DBYuYp I hope it helps you implement reliable, distributed counters in your next serverless project. Stay tuned for more articles in this series on atomic counters across different databases! #DynamoDB #Serverless #AWS #CloudComputing #DistributedSystems #DatabaseDesign

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🌟 Dreaming of AWS re:Invent! 🌟 As I dive deeper into AWS and cloud computing, attending AWS re:Invent is a goal I’m striving toward. This conference is a hub of innovation, learning, and networking—everything I aspire to be part of. I couldn’t make it this year, but I’m determined to be there next time! For those attending, I’d love to hear your experiences and key takeaways. What inspired you the most? #AWS #AWSreInvent #CloudComputing #innovation

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Accelerate your cloud journey with our new generative AI assistant on AWS re:Post https://repost.aws/. Collaborate with re:Post Agent and community experts to build your cloud workloads with confidence. #AWSrePost #GenerativeAIAssistant #CloudDevelopment 🤖💡🚀

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The latest episode in Google Distributed Cloud's "AI anywhere" series addresses the challenges of procuring edge hardware and introduces the new customer-sourced option. Manisha Verma, Strategic Partnerships Lead for Google Distributed Cloud, discusses the challenges of procuring edge hardware and how Google Distributed Cloud is addressing these challenges with a new customer-sourced option. Key takeaways from the video: - Greater control and flexibility. The customer-sourced option empowers customers with more control over their hardware choices and procurement processes. - Pricing flexibility. Customers can leverage their existing relationships with OEMs to negotiate better pricing and terms. - CapEx advantages. Keeping hardware on their books can offer CapEx benefits for customers. - Expanded availability. The customer-sourced option is currently available in 30 countries, with plans to expand further. Watch the full video to learn more about the customer-sourced option and how Google Distributed Cloud can help you overcome edge hardware procurement challenges → https://goo.gle/4aUy5sM

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Now that the Open Source Cloud supply chain is becoming more mature we are able to up the pace of making more open source code available as a service. A couple of new additions such as a web analytics collector, really simple message queue, MPEG-DASH live simulator and much more. And in the latest blog post I give example on how you can add a queue between SVT Encore and Shaka Packager for concurrency. https://lnkd.in/dZ3t-5kK

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Want to start contributing to open source projects, but not sure where to start? Diana Pham has got you covered. 👌 Discover different types of contributions, learn how to find projects and understand common misconceptions. #mycompany #opensource https://gag.gl/fzVy4E

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Amazon RDS for PostgreSQL announces Extended Support minor 11.22-RDS.20240418 We recommend that you upgrade to this version to fix known security vulnerabilities and bugs in prior versions of PostgreSQL 11 https://lnkd.in/eF2ixv9f #Amazon #RDS #PostgreSQL

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Had an engaging discussion with Rohit Vyas Vyas, Regional Vice President, and Will LaForest LaForest, Field CTO at Confluent, about how cloud-native Kafka and data streaming are transforming generative AI and real-time insights. Key takeaways: Building a fully managed, cloud-native Kafka required rethinking from the ground up, leading to innovations like the Kora engine. Real-time data streaming is essential for generative AI, ensuring context, governance, and instant decision-making. Confluent is powering critical systems like India’s UPI and enabling AI-driven use cases across industries with unparalleled scalability. As Will aptly said, "If you’re not using data streaming for generative AI, you’re doing it wrong." The future is real-time. Are you ready? Read Here the detailed interaction: https://lnkd.in/g5G-KyeT #DataStreaming #GenerativeAI #Kafka #Confluent

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