Updates and recent posts about Gemini 3..

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@laura_garcia shared a post, 7 months, 4 weeks ago

Software Developer, RELIANOID

🔐 RELIANOID at The Future of IT & Cybersecurity – CIO & CISO Think Tank

On October 2, 2025, we’ll be in London, UK for a day dedicated to shaping resilient, future-ready organizations in a world where threats evolve as quickly as innovation. This Think Tank gathers senior IT, security, and risk leaders to explore: ⚡ AI & Cyber Risk – balancing innovation and resilience ..

future of IT and cybersecurity Cio and CISO think tank london

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@anjali shared a link, 7 months, 4 weeks ago

Customer Marketing Manager, Last9

OTel Naming Best Practices for Spans, Attributes, and Metrics

Understand how to name spans, attributes, and metrics in OpenTelemetry for consistent, queryable, and reliable observability data.

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@laura_garcia shared a post, 8 months ago

Software Developer, RELIANOID

✈️ Europe’s skies disrupted: Cyberattack on Collins Aerospace’s MUSE platform

Last week’s incident that forced major airports like Heathrow, Brussels, and Berlin Brandenburg back to pen-and-paper operations shows just how fragile aviation’s digital backbone can be. In our latest article, we analyze: 🔍 How the attack unfolded ⚠️ The cascading operational and security implicati..

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@anjali shared a link, 8 months ago

Customer Marketing Manager, Last9

Top 11 Java APM Tools: A Comprehensive Comparison

Compare 11 top Java APM tools, from open-source options to enterprise platforms, and find the best fit for your applications.

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@atmosly0 shared a link, 8 months ago

Owner, Atmosly

AI-Powered DevOps Automation for Kubernetes and Cloud DevOps

Discover how Atmosly simplifies Kubernetes operations with advanced DevOps automation, CI/CD tools, and Terraform services for multi-cloud environments.

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@laura_garcia shared a post, 8 months ago

Software Developer, RELIANOID

🤖 RELIANOID at AI Tech Summit 2025

We’re thrilled to join AI Tech Summit 2025 on October 1st in Skopje, North Macedonia — a hub for innovation, collaboration, and the latest AI insights. This summit brings together CIOs, CTOs, AI specialists, and tech visionaries to explore how AI can drive growth, create opportunities, and shape a r..

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@laura_garcia shared a post, 8 months ago

Software Developer, RELIANOID

🚀 RELIANOID is heading to London!

We’re excited to be part of Civo Navigate London 2025 on September 30, 2025 — the Sovereignty & AI Edition. This event brings together leaders shaping the future of cloud, AI, and compliance across Europe. We’ll showcase how RELIANOID enables secure, observable, and sovereignty-aligned application ..

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@anjali shared a link, 8 months ago

Customer Marketing Manager, Last9

AWS Prometheus: Production Patterns That Help You Scale

Run Prometheus reliably on AWS with patterns for scale, cost control, and visibility across EKS, EC2, and multi-region setups.

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@anjali shared a link, 8 months ago

Customer Marketing Manager, Last9

How to Connect Jaeger with Your APM

Learn how to connect Jaeger with your APM to combine tracing and performance monitoring for deeper system visibility.

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@anjali shared a link, 8 months ago

Customer Marketing Manager, Last9

Key APM Metrics You Must Track

Understand key APM metrics like response time, error rates, throughput, and resource usage to keep your applications reliable and fast.

Gemini 3 is Google’s third-generation large language model family, designed to power advanced reasoning, multimodal understanding, and long-running agent workflows across consumer and enterprise products. It represents a major step forward in factual reliability, long-context comprehension, and tool-driven autonomy.

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.