Prometheus Alerting Examples for Developers
Know how to set up smarter Prometheus alerts from basic CPU checks to app-aware rules that reduce noise and catch real issues early.
Updates and recent posts about Gemini 3.. Link
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@anjali shared a link, 1 year ago
Customer Marketing Manager, Last9
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Software Developer, RELIANOID
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Founder, Read Dive
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Founder, Read Dive
Ensuring Performance and Security: Testing Solutions for Crypto Mobile Apps
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FAUN.dev()
Learn How to Build Smarter AI Agents with Microsoft’s MCP Resources Hub
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Langflow RCE Vulnerability: How a Python exec() Misstep Led to Unauthenticated Code Execution
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One Prompt Can Bypass Every Major LLM’s Safeguards
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Introducing NLWeb: Bringing conversational interfaces directly to the web
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At its core, Gemini 3 emphasizes low hallucination rates, deep synthesis across large information spaces, and multi-step reasoning. Models in the Gemini 3 family are trained with scaled reinforcement learning for search and planning, enabling them to autonomously formulate queries, evaluate results, identify gaps, and iterate toward higher-quality outputs.
Gemini 3 powers advanced agents such as Gemini Deep Research, where it excels at producing well-structured, citation-rich reports by combining web data, uploaded documents, and proprietary sources. The model supports very large context windows, multimodal inputs (text, images, documents), and structured outputs like JSON, making it suitable for research, finance, science, and enterprise knowledge work.
Gemini 3 is available through Google’s AI platforms and APIs, including the Interactions API, and is being integrated across products such as Google Search, NotebookLM, Google Finance, and the Gemini app. It is positioned as Google’s most factual and research-capable model generation to date.
