Grafana Tempo 2.9 Supercharges Distributed Tracing with LLM Integration
Grafana Tempo 2.9 debuts with MCP server support and TraceQL metrics sampling, enhancing data analysis and query efficiency.
Updates and recent posts about Vertex AI.. Activity
@varbear added a new tool TypeScript , 1 month, 3 weeks ago.
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@devopslinks added a new tool Grafana Tempo , 1 month, 3 weeks ago.
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@kala shared an update, 1 month, 3 weeks ago
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LangChain Secures $125M and Launches LangChain & LangGraph 1.0
LangChain raised $125 million to enhance its agent engineering platform, introducing LangChain and LangGraph 1.0 with new tools like the Insights Agent and a no-code agent builder, aiming to transform LLM applications into reliable agents.
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@devopslinks added a new tool Snapper , 1 month, 3 weeks ago.
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@devopslinks shared an update, 1 month, 3 weeks ago
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SUSE Linux Enterprise 16 Launches with AI for Smarter Operations
SUSE releases Linux Enterprise Server 16, integrating AI to boost efficiency and cut costs, with features like secure AI integration and a 16-year support lifecycle.
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@devopslinks shared an update, 1 month, 3 weeks ago
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Ubuntu 25.10 Takes a Bold Leap — Targets Modern CPUs with New amd64v3 Architecture
Ubuntu 25.10 introduces support for amd64v3 architecture variants, enhancing performance by targeting specific silicon variants, with full support expected in the 26.04 LTS release.
News FAUN.dev() Team
@devopslinks shared an update, 1 month, 3 weeks ago
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Google Introduces Quantum-Safe KEMs in Cloud KMS for Future Security
Google introduces quantum-safe KEMs in Cloud KMS to counter future quantum computing threats, urging organizations to transition to post-quantum cryptography.
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@devopslinks added a new tool Cloud KMS , 1 month, 3 weeks ago.
Vertex AI supports both custom models and foundation models, including Google’s Gemini model family. It enables organizations to fine-tune models, run large-scale inference, orchestrate agentic workflows, and integrate AI into production systems with strong security, governance, and observability controls.
The platform includes tools for AutoML, custom training with TensorFlow and PyTorch, managed pipelines, feature stores, vector search, and online and batch prediction. For generative AI use cases, Vertex AI provides APIs for text, image, code, multimodal generation, embeddings, and agent-based systems, including support for Model Context Protocol (MCP) integrations.
Built for enterprise environments, Vertex AI integrates deeply with Google Cloud services such as BigQuery, Cloud Storage, IAM, and VPC, enabling secure data access and compliance. It is widely used across industries like finance, healthcare, retail, and science for applications ranging from recommendation systems and forecasting to autonomous research agents and AI-powered products.
