Farnaz Erfan’s Post

Hot off the Press 🔥: 4 Key Trends Shaping the Observability Market! Check out this article by Krishna Yadappanavar, our CEO & Co-Founder, on The New Stack! 👉 Link here: https://lnkd.in/gU26eqUN #observability #trends #thenewstack #KubeCon #CloudNativeCon #CNCF Cloud Native Computing Foundation (CNCF)

If observability is key to your job and your business, take a few minutes to read about Key Trends Shaping the Observability Market

Featured today on the DZone main page, my introduction to #cloudnative #observability article that kicked off a series; A Hands-On Guide to OpenTelemetry! Get your #o11y ramped up today! Cloud Native Computing Foundation (CNCF) #Ambassadors Chronosphere https://lnkd.in/dyrWTc3s

We always enjoy learning from OpenCredo's Nicki Watt, and this #PlatformCon talk about putting the Cloud Native Computing Foundation (CNCF) Platform Maturity Model into practice is excellent Learn more about the maturity model here: https://lnkd.in/eztzjbTi

Joonas Bergius Bridging Cloud to Edge with WebAssembly 🌉 Innovative Solutions Cosmonic's Senior Engineer, Joonas Bergius, will showcase how #WebAssembly revolutionizes the cloud-native landscape in "Closing The Gap: Extending Kubernetes from Cloud to Edge with WebAssembly." This talk is a primer for those curious about leveraging WebAssembly for more efficient cloud-native development, especially in edge computing and targeting #Kubernetes for #wasm workloads! What is the role of #wasm in cloud computing? Find out here with strategies for deploying WebAssembly on Kubernetes as well as future perspectives on WebAssembly in the cloud-native ecosystem. A must-attend for developers looking to innovate! Register here: 🔗 https://texaskcd.com/ 🌥️ 🛠️ #KCDTexas #CloudNative #KCD #CNCF #TXLF #ATX

3 secrets to deploying LLMs on cloud platforms In the past two years, I’ve been involved with generative AI projects using large language models (LLMs) more than traditional systems. I’ve become nostalgic for serverless cloud computing. Their applications range from enhancing conversational AI to providing complex analytical solutions across industries and many functions beyond that. Many enterprises deploy these models on cloud platforms because there is a ready-made ecosystem of public cloud providers and it’s the path of least resistance. However, it’s not cheap.To read this article in full, please click here InfoWorld Cloud Computing April 16th 2024 https://buff.ly/3VVfau7 #CloudComputing #Cloud #CloudArchitecture #MultiCloud

Nutanix Unified Storage is now a leader in AI storage performance, establishing NUS as a gold standard for AI and machine learning applications: * A single NUS cluster can serve 1056 accelerators, the highest of all vendors listed in the benchmark * Performance scales linearly with the 32-node cluster supporting 4X accelerators as the 8-node cluster * Similar performance per node is observed irrespective of the location, on-premises or in the cloud

At the end of the wonderful class "Enabling Technology 4.0" with the guidance of Sir this subject allowed our knowledge of updates of technology and made us know about the subject effect and allowed us to have this knowledge... #BIIB #Enablingtechnology4.0 #AI #cloud

Another essential learning I have from DeepLearning.AI a short course titled “Carbon Aware Computing for GenAI developers,” though titled GenAI, can apply to any long cloud computing run. Chris Librie next time meet, going to discuss this one :) nice to see course on merging #sustainability and #cloudcomputing #deeplearning #DeeplearningAi https://lnkd.in/gDuS8M4s