Rafay’s Post

When #Jupyter #Notebooks aren't behaving as expected, what do you do next? Here's a quick troubleshooting guide on the Rafay documentation site: https://lnkd.in/g9WJUTyp

Struggling to efficiently manage cloud-native infrastructure? You're likely in need of add-on management to push fast updates across all clusters and protect against CVEs, as well as refresh AMIs and node OS images in minutes vs days or weeks. Rafay's PaaS to the rescue! ⛑ Our platform-as-a-service ensures optimal resource utilization, streamlining operations and improving efficiency. Raise your hand 🖐🏼 for a custom demo right this way... https://bit.ly/4dNsUwY

💥 Instant access to GPU-based infrastructure 💥 Need we say more? Yes, we will. 🙃 Rafay’s #GPU Platform-as-a-Service (#PaaS) empowers developers and data scientists by providing instant access to powerful GPU-based #infrastructure. You can... ✔️ Achieve instant, on-demand GPU access: Get started in less than 5 minutes. ✔️ Boost productivity by 50%: Enhance efficiency for data scientists and AI developers. ✔️ Improve GPU utilization by 80%: Optimize resource use with dynamic GPU assignment and sharing. We'd love for you to see it for yourself. Request a custom demo here: https://bit.ly/3AP5WHg

Our recent survey found that while platform teams are crucial for IT organizations, they’re being pushed to their limits managing the complexities of Kubernetes and cloud environments. 🤯 Even more surprising? The challenges teams faced with Kubernetes eerily mirror those now arising with AI and GenAI. 🪞 The numbers don’t lie ⤵️ - 45% struggle with managing Kubernetes and cloud infrastructure costs - 38% find it difficult to manage the Kubernetes cluster lifecycle using multiple disparate tools - 38% face hurdles in establishing and maintaining enterprise-wide standardization - Over 9 in ten report difficulties in experimenting with and deploying AI and GenAI apps 🔮 The survey shows that the solution lies in enhancing the developer experience through automation and self-service, particularly in AI initiatives and Kubernetes deployments. TFiR has the details: #platformteams #developerexperience #Kubernetes #cloud #AI #GenAI #automation

Automation is standard in so many other industries…so why not for Kubernetes? 🤔 As organizations accelerate their move to the cloud and Kubernetes, it’s essential to understand the hurdles platform teams face. Our CPO Mohan Atreya joined Swapnil Bhartiya at TFiR to discuss these challenges in depth and how Rafay addresses them with our new Cost Optimization Suite. ✅ Rafay’s automated solution can help you: 💰 Proactively reduce costs, not just report them  📊 Continuously analyze spending patterns and automatically adjusts resources, eliminating repetitive manual intervention 💪🏽 Empower platform and FinOps teams to focus on strategic initiatives by optimizing Kubernetes, AI and cloud resources in real time According to Mohan, “Shocking parallels exist between what people encountered with Kubernetes and how similar they are to what exists with AI and GenAI.” For a deeper dive, watch the full interview: #platformteams #AI #GenAI #automation #Kubernetes #cloud

🌊 Dive into the world of platform engineering with our CEO Haseeb Budhani on SiliconANGLE & theCUBE with Shelly DeMotte Kramer, and discover how platform teams are rethinking strategies in cloud, Kubernetes and AI. 📊 Haseeb shares insights from Rafay's recent survey, revealing: - The uphill battle with cloud costs, Kubernetes complexity and developer productivity - The added layers of complexity brought by AI and GenAI - The pivotal role of platform teams in overcoming these challenges 💡 Key takeaways: - Visibility is crucial: You can't manage what you can't see - The journey to success: Automation → Standardization → Centralization - Start smart: Architecture should be the foundation of every strategy 🔍 Looking to empower your platform teams? 🎙 Tune in to this insightful discussion: #PlatformEngineering #CloudNative #Kubernetes #AI #GenAI #platformteams #cloud

What AI trends will significantly impact business operations and growth? 🤔 💭 Rafay CEO Haseeb Budhani shared with Forbes that integrating MLOps and LLMOps into platform engineering will be key to: 💡 Optimize AI development cycles ✨ Enhance app effectiveness ✅ Increase AI software quality 📈 Improve developer productivity 💰 Keep costs under control How can companies prepare for these changes? 👉🏽 By mapping out optimized experiences and workflows and adopting platforms that support rapid development. Read more from Haseeb and other IT leaders: #MLOps #LLMOps #AI #platformteams #platformengineering #developers #IT

🔎 58% of organizations plan to provide visibility and showback into #cloud and #Kubernetes costs in the next year. Who better than Rafay to help #platform and #FinOps teams tackle #cloudcost challenges head-on while minimizing manual toil?! 💪💰 Our new Cost Optimization Suite proactively reduces costs rather than just reporting them by directly optimizing Kubernetes, AI and cloud resources in real time. 🗞️ Learn more about our new solution in IT Digest: #cloudcomputing #AI #platformteams