Tim Sale

Super excited about this talk! I'm going to dive into some of the work we've done under the covers in AWS, in services like Lambda, Aurora, and DynamoDB, to make them even more resilient, and how to apply those same techniques in your own systems.

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No one wants to get Coinbase’s $65 million observability bill in the future. Sure, observability comes with a necessary cost. But that cost cannot exceed the concrete and perceived value on balance sheets and leaders' minds. sofia fosdick shares practical insights on curbing high observability costs. She’s a senior account executive at Honeycomb.io and has held similar titles at Turbunomic, Dynatrace, and Grafana. Check out what she had to say via: https://lnkd.in/geB3MucE #observability #sitereliabilityengineering #devops #platformengineering

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We're ecstatic to unveil the NetApp BlueXP Workload Factory for #GenerativeAI – a groundbreaking capability empowering YOU to create a 'knowledge platform' with ONTAP and foundation models delivered via Amazon Bedrock. 💡💻 Unlock the true potential of generative AI by harnessing the power of 'enterprise data.' With our Workload Factory platform, developers can accelerate their application development by seamlessly and securely integrating unstructured data on ONTAP with Amazon Bedrock – all in a simple, cost-effective manner. ✅ By deploying FSx for ONTAP knowledge bases through Workload Factory, you can utilize the RAG framework to connect unstructured data on SMB/NFS shares to #GenAI models, ingest data (including security settings), create vector embeddings, and generate grounded responses for end-users. 🔗🔐💬 Why reinvent the wheel when you can extend your existing data, security, and management mechanisms to new possibilities? Ready to unlock the future of #GenerativeAI? 🚀 📝 Learn more with these resources: Announcement blog: https://lnkd.in/gyPv3MFR Technical blog: https://lnkd.in/ghVuU-Xz Building a RAG-based Q&A chatbot with Workload Factory and LangChain: https://lnkd.in/gUciqKwU Get started with Workload Factory: https://lnkd.in/g6UJpeaP This is just the beginning – we have an exciting roadmap ahead, helping our customers maximize the potential of their data with generative AI! 💪📈 #NetAPP #AWS #AmazonBedrock #GenerativeAI #NetAppBlueXP #WorkloadFactory #UnlockTheFuture #DataInnovation

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The conversations we share with our customers on FinOps are always rewarding :) #finops #cloud #customerexperience #costmanagement

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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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Our customers realize they need to get workloads into the cloud to take full advantage of the latest technologies. That's why we're focused on making migration easier while innovating across our entire stack. As I shared with John Furrier, expect some big news at #AWSreInvent this week that will help customers of all sizes move faster and fully harness the powerful capabilities of cloud and AI. https://lnkd.in/gXz4VDZH

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Google Cloud Vertex AI is rolling out multiple updates to make AI accessible for every enterprise. Up to 85% lower input costs and 80% lower output costs, and 100+ new languages coming to Gemini 1.5. #GoogleCloud #VertexAI #Gemini

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Last week, Google published a very exciting Q3 earnings report, evidencing the fact that Google Cloud is the fastest growing cloud hyperscaler. I believe the accelerated growth and momentum we have demonstrated is the result of a few important factors: 1. We have been investing in AI for many years already. This means that not only is AI embedded in a lot of our products, but it is an integral part of our DNA. 2. Google Cloud's approach of offering a diverse range of first-party, third-party, and open-source models giving our customers the option of choosing the model that works best for them, their growth and their success. 3. We have a powerful and reliable infrastructure, which empowers our customers to innovate faster, reduce costs, and achieve greater scalability and reliability in their cloud-based solutions. 4. And of course, none of this would be possible without the Googlers who make this happen. I am honored to get to work closely with the Israel team, and their passion and drive to continuously build innovative products for our customers is inspiring. If you missed my previous post about earnings, you can read the results here:  https://lnkd.in/dvrR-9P9 #GoogleCloud #CloudForIsrael 

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Last April I gave a talk at Palo Alto Networks about AI's impact on enterprise software. I didn't know Satyam Sinha, their VP of Engineering, was in the audience—and he'd been thinking about this for months. He soon resigned and shifted focus to building a startup that would push AI innovation forward instead of simply adapting to it. Fast forward to today: My partner Jaya and I are thrilled to announce that Acuvity, the company born from Satyam's vision, has raised a $9M seed round led by Foundation Capital, with participation from Jonathan Siddharth (CEO of FC portfolio company Turing) and other angels. Acuvity tackles one of the most pressing issues in enterprise AI adoption—security. Companies rushing to leverage AI are exposing themselves to unprecedented risks of data leaks and compliance violations. Samsung's recent AI-related data breach is not an anomaly. Satyam and his co-founder Antoine Mercadal have developed a novel approach using AI models to monitor AI usage, combining elements of classical machine learning with LLMs. It's an elegant solution to a complex problem, providing enterprises with the visibility and control they desperately need. This investment combines two of Foundation's deep convictions: the transformative power of AI and the critical importance of data security. We've been investing at this intersection for over a decade, from MobileIron to Fortanix to Skyflow. We're excited to lead this round and partner with Satyam, Antoine, and the entire Acuvity team on their journey to secure AI-powered enterprise! Read more: https://lnkd.in/gPiiutpD

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Google Cloud Vertex AI is rolling out multiple updates to make AI accessible for every enterprise. Up to 85% lower input costs and 80% lower output costs, and 100+ new languages coming to Gemini 1.5. #GoogleCloud #VertexAI #Gemini

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More models, more languages, more predictability, and starting next week, LOWER cost. The latest release of Gemini 1.5 Flash will reduce input costs by up to ~85% and output costs by up to ~80%. Read more here. #Gemini #GenAI #GoogleCloud https://lnkd.in/dNc77yBx

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The latest episode in our "AI anywhere" series is now available, and it tackles a crucial challenge for edge deployments: maintaining operational continuity even when network connections are unreliable. In this video, Jaimin Shah, Product Manager for Google Distributed Cloud, dives deep into the disconnected mode and offline management features that set Google Distributed Cloud apart. You'll learn how these capabilities ensure that your AI workloads keep running smoothly, even in the face of network disruptions. Key takeaways from the video: - The importance of operational continuity for edge AI. Understand why maintaining uptime is critical for mission-critical AI workloads. - Disconnected mode and offline management. Discover how Google Distributed Cloud enables seamless operation during network outages. - Demo showcase. See a live demonstration of how features like local image caching, offline authentication, and cluster state tracking work in practice. Don't miss this opportunity to learn how Google Distributed Cloud can help you build resilient AI deployments that thrive in challenging network environments. Let's empower businesses to overcome connectivity challenges and unlock the full potential of edge AI! Watch the video now and visit our website to learn more about Google Distributed Cloud → https://goo.gle/4aUy5sM

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When AI runs on bad data, chaos follows. In our new campaign, hilarity ensues. Don’t let comedy happen with your AI. Is your data ready? #GetAIReady Learn more: https://lnkd.in/gDmb5Z7g

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Cisco just laid off 7% of its workforce (4,000 people) while reporting a $10.3 billion profit. At COREnology, we talk a lot about values. Decisions like this make me wonder what the actual values are at the executive level of this company. The Cisco website has a list of several "guiding principles." Do you think this decision aligns with those principles? 𝐆𝐢𝐯𝐞 𝐲𝐨𝐮𝐫 𝐛𝐞𝐬𝐭 "Show that desire to be at your best, connect with others..." 𝐆𝐢𝐯𝐞 𝐬𝐨𝐦𝐞𝐭𝐡𝐢𝐧𝐠 𝐨𝐟 𝐲𝐨𝐮𝐫𝐬𝐞𝐥𝐟 "Be worthy of trust. Be an inspiration. Be delightful to everyone. Even if you don’t like them..." 𝐆𝐢𝐯𝐞 𝐲𝐨𝐮𝐫 𝐞𝐠𝐨 𝐭𝐡𝐞 𝐝𝐚𝐲 𝐨𝐟𝐟 "Have the debate and have a backbone..." 𝐓𝐚𝐤𝐞 𝐚𝐜𝐜𝐨𝐮𝐧𝐭𝐚𝐛𝐢𝐥𝐢𝐭𝐲 "Check the data but don’t let that slow down taking responsibility..." 𝐓𝐚𝐤𝐞 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐭𝐨 𝐡𝐞𝐚𝐫𝐭 "We become bigger as individuals and more powerful as a collective when we respect and value what makes us so special..." 𝐓𝐚𝐤𝐞 𝐚 𝐛𝐨𝐥𝐝 𝐬𝐭𝐞𝐩 "Whatever your position, show leadership and courage... Together we can figure out how to get there so let’s dream big..." When a company (or a person) doesn't act in accordance with their values, they lose trust, credibility, their good reputation, cohesion, and so much more... If you abandon your core values when things get hard, they weren't really your core values—they were just marketing. Core Values are what you rely on the most when things get tough to lead you through the darkness. #CoreValues https://lnkd.in/gPfv2B-d

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