DDN’s Post

Enterprise Maps, LLC has implemented a cost-optimized and end-user centric way of deploying GIS desktop solutions in Amazon Web Services (AWS) with AppStream 2.0 and giving users the ability to choose their experience. In this example here; the Desktop can act as a streaming virtual machine session backed by an image with specified applications installed on it, such as Esri #ArcGIS Pro or #Drone2Map. For either application here, users can select either one of those for quicker workflows that don't require access to other desktop resources. As organizations are preparing for their transitions to the cloud, this is one of the many low hanging fruits that one can meet the Cost-Optimization and Sustainability pillars of #AWS' Well-Architected Framework by not reserving GPU and other compute that are required by these Esri applications. I am always happy to chat with others who are doing similar things or who need a bit of guidance and direction. #AWS #Cloud #AppStream2.0 #GIS #EsriUC24 #UC24 #EnterpriseMaps

How a media company overcame storage challenges in the mass media industry using innovative solutions like Petabyte NAS and Azure Cloud storage. See how technology simplified data management and improved business efficiency. Explore the full case study here: https://buff.ly/49kD2u7 #casestudy #media #NAS #Azure #datamanagement #cloudstorage

How a media company overcame storage challenges in the mass media industry using innovative solutions like Petabyte NAS and Azure Cloud storage. See how technology simplified data management and improved business efficiency. Explore the full case study here: https://buff.ly/49kD2u7 #casestudy #media #NAS #Azure #datamanagement #cloudstorage

Optimizing cost is a top priority for any business. That's why AWS recommends exploring Graviton (ARM64) container images. And it couldn't be easier thanks to Devtron Inc. ARM64 images or multi-architecture images can be generated by checking one box in the build process. Want to learn more about the benefits of Graviton with Devtron and how it's done? Check out this video from Prakarsh and Bharath Suresh where they discuss unlocking the power of AWS Graviton with Devtron: https://lnkd.in/dwZMTgh3 #AWS #Graviton #Devtron #optimization #costsavings

🚀🔭 𝐉𝐮𝐬𝐭 𝐭𝐚𝐤𝐢𝐧𝐠 𝐚 𝐛𝐫𝐞𝐚𝐤 𝐭𝐨 𝐬𝐭𝐚𝐫𝐠𝐚𝐳𝐞, 𝐨𝐫 𝐬𝐡𝐨𝐮𝐥𝐝 𝐈 𝐬𝐚𝐲... 𝐂𝐥𝐨𝐮𝐝-𝐠𝐚𝐳𝐞! ☁️✨ I'm all set to observe the mysterious "2024 PT5" with my trusty telescope. But wait... looks like it's not just floating in space—there's a rogue bug spotted in my cloud infrastructure! 🌩️🔧 Let me spin up some containers, deploy a few commands, and track this celestial bug through my cloud layers! 🛠️👨💻 #CloudComputing #DevOps #CloudArchitecture #2024PT5 #SpaceTechMeetsCloudTech #BugHunt #ITInfrastructure #GCP #AWS #Cloud #Observability #SRE

Day 18 of my 75-Day Hard Challenge! The grind continues with new puzzles, deeper insights, and fresh victories! Here’s what I tackled today: Data Structures and Algorithms (DSA): 1️⃣ Smallest Range Covering Elements From K Lists https://lnkd.in/gwDQ32ni 2️⃣ Find X Sum Of All K Long Subarrays I https://lnkd.in/gbi26W5w 3️⃣ K-th Largest Perfect Subtree Size In Binary Tree https://lnkd.in/g-kkEUEh 4️⃣ Shortest Distance To A Character https://lnkd.in/gA3vAeKK 🎓 Course Work: 1. Properties of Cloud Computing 2. Vision of Cloud Computing 3. Hurdles in Cloud Computing Every challenge sharpens the mind and strengthens the resolve! 🔥 Ready for Day 19! 💪 #75DaysOfCode #DSA #CloudComputing #FullStackDev #EngineeringChallenge #GrowthMindset

When your Docker Infra builds production-grade #Quant #Research #pipeline, managing strategy development from research through deployment. Each backtest runs in isolated Docker containers with specified configs and resources, orchestrated by our custom #Scheduler. Sort of #HPC for Quant Research (with HPC, you run ML Backtest so you get GPU-specific container, for standard Backtest, CPU-specific). Currently ready, running 20+ concurrent backtests in cloud env, centralizing results, and optimizing resource allocation. Measuring resources usage/utilization per customer/backtest for efficient scaling. #QuantJourney #QuantitativeTrading #SystematicTrading

Delve into the comprehensive guide to Azure NAS storage solutions, empowering you to harness the full potential of Network Attached Storage (NAS) within the Azure environment. Explore key features, best practices, and implementation strategies for seamless data management. #Azure #NAS #StorageSolutions #DataManagement #CloudStorage #AzureEnvironment #TechGuide #DataSolution https://lnkd.in/dqXq3SQj

Cloud Foundry Weekly: Special Early-Bird Edition! Join the Cloud Foundry Weekly crew TODAY at 1:00 PM Eastern for an inside look at the newly GA-released GenAI tile! While holiday schedules might send us scrambling, we're committed to bringing you the latest Cloud Foundry innovations. What's on deck: • Deep dive into GenAI tile features and architecture • Step-by-step installation walkthrough • Interactive Q&A with Nick Kuhn, our resident GenAI expert Don't miss this special early broadcast! Set your reminder, hit subscribe for future updates, and show your support with a like. #CloudFoundry #TanzuPlatform #GenAI #TechTalks #Spring

2nd Iteration of SEESPEAK. cc buildspace I tried using different models that people suggested, and the best results at the moment are with YoloV8. I stumbled with the problem of not finding a good public annotated dataset of WLASL. So in the meantime I captured my own data and annotated like 1000+ images. Trained a model using Ultralytics YoloV8 and Roboflow to annotate the data and deploy the model on the cloud (It lets you augment the dataset diversity and choose different preprocessing configurations, scaling my dataset to 2500 images.) The next step is to deploy it on my computer to minimize latency as it is going connected to roboflow through the api. **If any one has a recommendation on how to deploy it efficiently and faster, please comment. Also if you know a really good and large annotated public dataset. **