Red Hat GitLab Breach: 570GB Data Stolen by Crimson Collective
A security breach in Red Hat's consulting GitLab instance led to the theft of 570GB of data by the "Crimson Collective," impacting around 800 organizations across multiple sectors.
Updates and recent posts about Gemini 3.. Story
@laura_garcia shared a post, 2 months, 3 weeks ago
Software Developer, RELIANOID
🌍 RELIANOID at World Telemedia Marbella 2025
📍 Marbella, Spain | 📅 October 5–7, 2025 We’re excited to join World Telemedia 2025, the leading event to monetise and trade traffic, minutes, and messages with global industry leaders. This is where 700+ delegates, 277+ companies, and 95% C-Level attendees come together to shape the future of teleme..
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@anjali shared a link, 2 months, 3 weeks ago
Customer Marketing Manager, Last9
Observability vs. Visibility: What's the Difference?
Understand observability vs visibility: visibility shows current states, while observability uncovers why systems act the way they do.
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@anjali shared a link, 2 months, 3 weeks ago
Customer Marketing Manager, Last9
The Service Discovery Problem Every Developer Knows (But Pretends Doesn't Exist)
New services deploy faster than you can track them. Discover Services auto-discovers your entire architecture from traces—convention over configuration. No manual catalogs.
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@laura_garcia shared a post, 2 months, 3 weeks ago
Software Developer, RELIANOID
🚀 Key takeaways from two major events in Amsterdam: Cyber Security & Cloud Expo 2025 and TechEx Europe 2025.
💡 Main lessons: Modern security is built on Zero Trust and seamless DevSecOps integration. AI and automation are no longer optional—they are essential to stay ahead of threats. Deep observability across multicloud environments is a cornerstone of resilience. At RELIANOID, we strengthen our mission t..
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@laura_garcia shared a post, 2 months, 3 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 ..
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@anjali shared a link, 2 months, 3 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, 2 months, 3 weeks 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, 2 months, 3 weeks 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, 2 months, 3 weeks 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.
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.
