How to Monitor LLMs with Prometheus, Grafana, OpenTelemetry, and Tempo

We’re witnessing a pivotal shift — from APIs that merely connect systems to APIs that coordinate intelligence. Kong’s Volcano SDK marks a major step toward agentic AI — enabling secure multi-agent communication, LLM governance, and intelligent orchestration within a unified framework. How do we build AI that’s not just powerful but governed, explainable, and self-orchestrating? This release offers a glimpse into the architecture of tomorrow’s AI-native enterprises, where interoperability and intelligence converge. Link: https://lnkd.in/geR3dWhZ #AgenticAI #AIOrchestration #KongVolcano #EnterpriseAI #LLMInfrastructure

𝐃𝐚𝐲 𝟓 𝐨𝐟 𝟓 – 𝐏𝐫𝐨𝐭𝐨𝐭𝐲𝐩𝐞 𝐭𝐨 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 (𝐆𝐨𝐨𝐠𝐥𝐞 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬) The final day focused on how to take AI agents into real production environments. We explored deployment workflows, CI/CD practices, and scaling strategies that ensure reliability at the enterprise level. The core takeaway was the A2A Protocol, enabling agents to communicate across systems and teams. Through the codelabs, I built agents that expose A2A endpoints and integrated remote agents as if they were local. A strong finish to a powerful 5-day learning experience. 📂 Notes: https://lnkd.in/eaCzCui8 #AI #Agents #Google #LearningJourney #AIAgents #A2A

The biggest threat to production AI on Kubernetes isn't the model; it's the siloed legacy systems organizations stitch together. Traditional distributed pipelines introduce unacceptable latency and too many failure points. The VAST Data AI OS breaks down those silos. The platform provides a single system for AI and data-driven applications, complete with a vector database, event broker, and serverless functions. In this blog, Simon Golan and Ram B. focus on the VAST DataEngine and demonstrate how it enables end-to-end agentic workloads on Kubernetes: https://lnkd.in/gNmGFCnS Find VAST Data booth #1741 at #KubeCon to learn how to simplify production AI!

𝐇𝐨𝐰 𝐆𝐨𝐨𝐠𝐥𝐞’𝐬 𝐀𝐈 𝐒𝐭𝐚𝐜𝐤 𝐏𝐨𝐰𝐞𝐫𝐬 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐀𝐜𝐫𝐨𝐬𝐬 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐬 Most enterprises began their AI journey by experimenting in silos, building small ML projects that never scaled beyond prototypes. The problem isn’t ambition, it’s architecture. Traditional IT systems were never built to handle the data intensity, compute demands, and continuous learning cycles of modern generative AI. Read Complete Article: https://lnkd.in/d5a888Tt #AITech365 #DataIntensity #GenerativeAI #GooglesAIStack #Hypercomputer #ITsystems #machinelearning #MLProjects #MLOps #VertexAI

I recently designed this visual to simplify one of the most powerful architectures in Generative AI — the RAG (Retrieval-Augmented Generation) Pipeline. We all love how LLMs can generate amazing text — but without real data context, they can easily hallucinate. That’s where RAG steps in 👇 🔸 Step 1: Ingestion – Load, split, and embed documents into a Vector Database 🔸 Step 2: Retrieval – Find the most relevant chunks using similarity search 🔸 Step 3: Generation – Combine those chunks with the user’s query to generate a context-aware response This architecture ensures that AI assistants and enterprise chatbots deliver factual, grounded answers instead of generic ones. It’s the backbone of modern GenAI systems! 💪 #RAG #GenerativeAI #LangChain #LLMs #OpenAI #AIChatbot #DataScience #VectorDatabase #MachineLearning #ArtificialIntelligence #AIAgents #PromptEngineering #TechInnovation #KnowledgeRetrieval #RAGPipeline

The VAST AI Operating System is the primary data foundation for the next generation of AI. VAST Data and CoreWeave are proud to announce a $1.17 billion commercial agreement to extend the strategic partnership. This expanded collaboration reinforces CoreWeave's commitment to the VAST AI OS and advances the shared mission to redefine the data and compute architecture for AI. The unified infrastructure delivers instant access to massive datasets, breakthrough performance, and cloud-scale economics for both training and inference workloads. Building a new class of intelligent data architecture for mission-critical industries together. Read the full announcement: https://lnkd.in/g_FiBa52

This is the technical validation we've been waiting for! The $1.17 billion CoreWeave expansion reinforces the VAST AI OS as the primary data foundation for their AI cloud. The key architectural benefit is simplicity at scale: CoreWeave can deploy VAST's infinitely scalable system architecture in any data center. This enables sophisticated data services, optimizes data pipelines, and ensures instant access to massive datasets for continuous training and real-time inference.

Not much detail in this initial announcement, but this seems like a huge win for VAST Data as it signs a $1.17bn commercial agreement with existing customer CoreWeave to become the 'primary data foundation' for its #AI cloud.

$1.17 billion of software says a lot about where AI infrastructure is heading. CoreWeave is expanding their strategic partnership with VAST Data, making the VAST AI Operating System the primary data foundation for their next-generation AI infrastructure. When you're building mission-critical AI infrastructure, your data platform either accelerates innovation or becomes the bottleneck. CoreWeave chose to accelerate.

Absolutely massive! This deal validates the VAST Data AI OS is the indispensable data foundation for the world's most ambitious AI clouds 👏🏻👏🏻 I'm incredibly proud to announce VAST Data's $1.17 billion commercial expansion with CoreWeave. The core takeaway is time-to-value: by aligning roadmaps, we're building a platform that delivers infrastructure that is the most performant, scalable, and cost-efficient in the market. This is how we redefine the data and compute architecture for AI. Read the full announcement: https://lnkd.in/ez4N-z4n