How is open source shaping the future of AI—and how is AI reshaping open source? At @RAISESummit, Mark Surman joined leaders from Grafana, Aiven, Comet, Together AI, and commit to discuss AI infrastructure, open ecosystems, developer communities, and what's next. Watch the full panel:

You: touching grass on a saturday night, enjoying dinner with the fellas, steaks, beers, and watching odyssey. Me: have @tokens grafana dashboard up to monitor failure patterns to understand what api failures to fix next. We are not the same, Solana.

.@Members1stFCU moved to Azure and needed enterprise-grade observability, fast. @Grafana via Microsoft Marketplace was up in half a day, accelerating time to value. See how Grafana is putting this into action and explore more solutions on:

Me in 2012 instead of learning: DSA System Design AI / ML Generative AI LLMs AI Agents RAG Vector Databases Embeddings Fine-tuning Prompt Engineering MCP AI Coding Agents Python Java C C++ Go Rust JavaScript TypeScript HTML CSS React Next.js Vue Angular Node.js Express.js NestJS Spring Boot Django FastAPI REST APIs GraphQL WebSockets SQL PostgreSQL MySQL MongoDB Redis Elasticsearch Kafka RabbitMQ Docker Kubernetes Terraform AWS Azure GCP Linux Git GitHub CI/CD DevOps Microservices Serverless Cloud Cybersecurity Data Engineering Data Science MLOps Data Analytics Blockchain Web3 Smart Contracts Solidity Edge Computing Distributed Systems Observability Prometheus Grafana OpenTelemetry Supabase Firebase Vercel Cloudflare PostgreSQL + pgvector LangChain LlamaIndex PyTorch TensorFlow Hugging Face Ollama OpenAI APIs Claude APIs Gemini APIs Model Context Protocol AI Infrastructure GPU Computing CUDA