Steve Dischinger’s Post

This is the new foundational pillar of NATS, after connectivity and data: workloads! Built on the open-source project Nex, this marks the beginning of a journey toward a powerful set of features, reinforcing the “Nothin’ but NATS” style—a specialized form of the "cloud-native" pattern that extends to the edge.

"SUSE Acquires @gostackstate to Provide Full Stack, #Cloud Native #Observability" Love the synergy adding #O11Y to #SUSE's #PaaS. Big upside esp. for #DevOps! But big headwind vs. many more capable best-of-breed competitors. Will be hard to break out. https://lnkd.in/ec-y-9Yn

𝐘𝐨𝐮𝐫 𝐃𝐚𝐭𝐚, 𝐘𝐨𝐮𝐫 𝐑𝐮𝐥𝐞𝐬, 𝐀𝐧𝐲𝐰𝐡𝐞𝐫𝐞! The first managed vector database that you can run anywhere with unmatched flexibility and control is here. 𝐐𝐝𝐫𝐚𝐧𝐭 𝐇𝐲𝐛𝐫𝐢𝐝 𝐂𝐥𝐨𝐮𝐝 is setting a new standard for how and where you can build your AI applications. Now, you can deploy your vector database in any environment of your choice, be it in the cloud, on-premises, or on the edge, enabling: ✔ Complete control over your data and privacy ✔ Flexibility to deploy in any environment ✔ Seamless integration with every component of the modern AI stack ▶ Run Qdrant as a managed service on our launch partner environments, such as Oracle Cloud Infrastructure, Red Hat OpenShift, Vultr, OVHcloud, Scaleway, DigitalOcean, STACKIT, and Civo ▶ Easily integrate Qdrant with our AI ecosystem launch partners such as LlamaIndex,LangChain, Airbyte, Jina AI, Aleph AlphaI, and Haystack by deepset. 🎓Together with our launch partners, we created in-depth tutorials that show the flexibility of using Qdrant Hybrid Cloud for AI-enabled use cases, like RAG, hybrid search, recommendation systems, and more, prioritizing deployment flexibility and data privacy. Read more about how you can try Qdrant Hybrid Cloud on our partners' platforms: https://buff.ly/4aUDnF6 #QdrantHybridCloud #Qdrant #VectorSearch #VectorDatabase #AI #DataSovereignty

BYOC: #Wasm components embrace the unique differences of every use case - totally transforming how apps are created + deployed. Liam Randall ☁️🚀 looks beyond #BYOC to how Cloud Native Computing Foundation (CNCF) wasmCloud enables teams to curate app platforms specific to their needs 🛠️ https://lnkd.in/deSj7-9u

𝐇𝐨𝐰 𝐭𝐨 𝐜𝐡𝐨𝐨𝐬𝐞 𝐜𝐨𝐦𝐩𝐮𝐭𝐞 𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐢𝐧 𝐀𝐳𝐮𝐫𝐞! Choosing the appropriate Microsoft Azure compute service is crucial for building and deploying successful cloud applications. When making this critical decision, the key factor to consider is thoroughly understanding your application's unique needs. 🔷 Microsoft Azure provides a diverse range of computing services, each catering to specific use cases: ✔️ 𝐀𝐳𝐮𝐫𝐞 𝐕𝐢𝐫𝐭𝐮𝐚𝐥 𝐌𝐚𝐜𝐡𝐢𝐧𝐞𝐬 (𝐕𝐌𝐬): Ideal for scenarios requiring legacy applications with specific operating system configurations. ✔️ 𝐀𝐳𝐮𝐫𝐞 𝐀𝐩𝐩 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬: Best suited for Web applications seeking a fully managed platform and development of RESTful APIs. ✔️ 𝐀𝐳𝐮𝐫𝐞 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐒𝐞𝐫𝐯𝐢𝐜𝐞 (𝐀𝐊𝐒): Tailored for containerized applications leveraging container orchestration, auto-scaling, and container management. ✔️ 𝐀𝐳𝐮𝐫𝐞 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐬: Well-suited for event-driven, serverless computing solutions. And tasks triggered by events or scheduled executions. ✔️ 𝐀𝐳𝐮𝐫𝐞 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫 𝐈𝐧𝐬𝐭𝐚𝐧𝐜𝐞𝐬 (𝐀𝐂𝐈): Perfect for rapid deployment of isolated containers without the complexity of orchestration. 🔷 When selecting a computing service, consider the following trade-off: ✔️ 𝐂𝐨𝐧𝐭𝐫𝐨𝐥 𝐯𝐬. 𝐂𝐨𝐧𝐯𝐞𝐧𝐢𝐞𝐧𝐜𝐞: VMs provide the most control but require more management. App Services and Functions offer a more hands-off approach with less control. ✔️ 𝐒𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲: App Services, AKS, and Functions excel at automatic scaling to meet fluctuating demands. ✔️ 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞: Traditional applications might favor VMs, while modern architectures often leverage AKS or ACI. ✔️ 𝐂𝐨𝐬𝐭 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Serverless options like Functions can be cost-effective for workloads with infrequent usage patterns. By carefully assessing your application's specific characteristics, existing architecture, and desired management level, you can confidently select the optimal Azure compute service to drive your cloud projects to success. While this guide helps you choose the right computing service, managing a complex Azure environment can still be challenging Credit - Cloudairy and Chandresh Desai Get 𝙩𝙧𝙖𝙞𝙣𝙚𝙙, get 𝙝𝙞𝙧𝙚𝙙 💁🏻♂️. Register for 𝘼𝙒𝙎 𝘾𝙡𝙤𝙪𝙙 𝘿𝙚𝙫𝙊𝙥𝙨 𝙫𝙞𝙧𝙩𝙪𝙖𝙡 training 👨🏻💻 today by submitting this 𝙚𝙖𝙨𝙮 2𝙢𝙞𝙣𝙨 𝙂𝙤𝙤𝙜𝙡𝙚 𝙛𝙤𝙧𝙢: https://lnkd.in/gsBppVnT 📲 Contact Dhruv R. 👨🏫 for more information ℹ️ CloudSpikes MultiCloud Solutions Inc. https://lnkd.in/gbTzebec 👨🏻🏫💻 𝐀𝐖𝐒 𝐂𝐥𝐨𝐮𝐝 𝐃𝐞𝐯𝐎𝐩𝐬 𝐯𝐢𝐫𝐭𝐮𝐚𝐥 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐩𝐫𝐨𝐠𝐫𝐚𝐦 💻👨🏻🏫 #devops #azure #kubernetes #aks LP646

Nice explanation of compute services in azure #Devops #Azure #AKS #serverless

🔍 Unlocking the Power of Azure Compute Services! 🔍 Navigating the vast array of Microsoft Azure compute services can be daunting, but fear not! Here's a comprehensive guide to help you choose the perfect fit for your cloud projects: 🔷 Azure Virtual Machines (VMs): Ideal for legacy applications with specific OS configurations, offering maximum control. 🔷 Azure App Services: Fully managed platform for web applications and RESTful APIs, providing simplicity and ease of use. 🔷 Azure Kubernetes Service (AKS): Tailored for containerized applications, offering scalability, orchestration, and container management. 🔷 Azure Functions: Perfect for serverless computing, triggering tasks based on events or scheduled executions, ensuring cost-effectiveness. 🔷 Azure Container Instances (ACI): Rapid deployment of isolated containers without the complexity of orchestration, for quick and easy scaling. Considerations for Choosing: Control vs. Convenience: VMs offer maximum control, while App Services and Functions provide a more hands-off approach. Scalability: App Services, AKS, and Functions excel at automatic scaling to meet varying demands. Application Architecture: Traditional apps may favor VMs, while modern architectures often leverage AKS or ACI. Cost Optimization: Serverless options like Functions can be cost-effective for infrequently used workloads. By understanding your application's requirements and architectural needs, you can confidently select the ideal Azure compute service to propel your cloud initiatives forward. Ready to master Azure Cloud Development? Join our 𝘼𝙒𝙎 𝘾𝙡𝙤𝙪𝙙 𝘿𝙚𝙫𝙊𝙥𝙨 virtual training and take your skills to new heights! Register now: [Link] Get the expert guidance you need from CloudSpikes MultiCloud Solutions Inc. Contact Dhruv R. for more info! #DevOps #Azure #Kubernetes #AKS #CloudComputing #CloudSpikes #Innovation #DigitalTransformation 🚀💻

𝐇𝐨𝐰 𝐭𝐨 𝐜𝐡𝐨𝐨𝐬𝐞 𝐜𝐨𝐦𝐩𝐮𝐭𝐞 𝐬𝐞𝐫𝐯𝐢𝐜𝐞𝐬 𝐢𝐧 𝐀𝐳𝐮𝐫𝐞! Choosing the appropriate Microsoft Azure compute service is crucial for building and deploying successful cloud applications. When making this critical decision, the key factor to consider is thoroughly understanding your application's unique needs. 🔷 Microsoft Azure provides a diverse range of computing services, each catering to specific use cases: ✔️ 𝐀𝐳𝐮𝐫𝐞 𝐕𝐢𝐫𝐭𝐮𝐚𝐥 𝐌𝐚𝐜𝐡𝐢𝐧𝐞𝐬 (𝐕𝐌𝐬): Ideal for scenarios requiring legacy applications with specific operating system configurations. ✔️ 𝐀𝐳𝐮𝐫𝐞 𝐀𝐩𝐩 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬: Best suited for Web applications seeking a fully managed platform and development of RESTful APIs. ✔️ 𝐀𝐳𝐮𝐫𝐞 𝐊𝐮𝐛𝐞𝐫𝐧𝐞𝐭𝐞𝐬 𝐒𝐞𝐫𝐯𝐢𝐜𝐞 (𝐀𝐊𝐒): Tailored for containerized applications leveraging container orchestration, auto-scaling, and container management. ✔️ 𝐀𝐳𝐮𝐫𝐞 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐬: Well-suited for event-driven, serverless computing solutions. And tasks triggered by events or scheduled executions. ✔️ 𝐀𝐳𝐮𝐫𝐞 𝐂𝐨𝐧𝐭𝐚𝐢𝐧𝐞𝐫 𝐈𝐧𝐬𝐭𝐚𝐧𝐜𝐞𝐬 (𝐀𝐂𝐈): Perfect for rapid deployment of isolated containers without the complexity of orchestration. 🔷 When selecting a computing service, consider the following trade-off: ✔️ 𝐂𝐨𝐧𝐭𝐫𝐨𝐥 𝐯𝐬. 𝐂𝐨𝐧𝐯𝐞𝐧𝐢𝐞𝐧𝐜𝐞: VMs provide the most control but require more management. App Services and Functions offer a more hands-off approach with less control. ✔️ 𝐒𝐜𝐚𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲: App Services, AKS, and Functions excel at automatic scaling to meet fluctuating demands. ✔️ 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞: Traditional applications might favor VMs, while modern architectures often leverage AKS or ACI. ✔️ 𝐂𝐨𝐬𝐭 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Serverless options like Functions can be cost-effective for workloads with infrequent usage patterns. By carefully assessing your application's specific characteristics, existing architecture, and desired management level, you can confidently select the optimal Azure compute service to drive your cloud projects to success. While this guide helps you choose the right computing service, managing a complex Azure environment can still be challenging Credit - Cloudairy and Chandresh Desai Get 𝙩𝙧𝙖𝙞𝙣𝙚𝙙, get 𝙝𝙞𝙧𝙚𝙙 💁🏻♂️. Register for 𝘼𝙒𝙎 𝘾𝙡𝙤𝙪𝙙 𝘿𝙚𝙫𝙊𝙥𝙨 𝙫𝙞𝙧𝙩𝙪𝙖𝙡 training 👨🏻💻 today by submitting this 𝙚𝙖𝙨𝙮 2𝙢𝙞𝙣𝙨 𝙂𝙤𝙤𝙜𝙡𝙚 𝙛𝙤𝙧𝙢: https://lnkd.in/gsBppVnT 📲 Contact Dhruv R. 👨🏫 for more information ℹ️ CloudSpikes MultiCloud Solutions Inc. https://lnkd.in/gbTzebec 👨🏻🏫💻 𝐀𝐖𝐒 𝐂𝐥𝐨𝐮𝐝 𝐃𝐞𝐯𝐎𝐩𝐬 𝐯𝐢𝐫𝐭𝐮𝐚𝐥 𝐭𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐩𝐫𝐨𝐠𝐫𝐚𝐦 💻👨🏻🏫 #devops #azure #kubernetes #aks LP710

With the rise of cloud native development, #observability and monitoring are often interchangeably used. Make sure to read "Topology-based observability: the hows, whats, and whys" by Divya Mohan of SUSE. https://lnkd.in/dGF8ndHG #KubeCon #cloud #cloudnative #SUSE