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@koukibadr shared a link, 2 days, 13 hours ago
Mobile Developer, Nventive

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@laura_garcia shared a post, 3 days, 11 hours ago
Software Developer, RELIANOID

𝗛𝗶𝗴𝗵 𝗔𝘃𝗮𝗶𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗮𝗹𝗼𝗻𝗲 𝘄𝗼𝗻’𝘁 𝘀𝗮𝘃𝗲 𝘆𝗼𝘂.

🚨 𝗛𝗶𝗴𝗵 𝗔𝘃𝗮𝗶𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗮𝗹𝗼𝗻𝗲 𝘄𝗼𝗻’𝘁 𝘀𝗮𝘃𝗲 𝘆𝗼𝘂.

HA handles failures like node crashes or AZ outages.

But what about:

❌ Ransomware

❌ Region-wide outages

❌ Human error

👉 That’s 𝗗𝗶𝘀𝗮𝘀𝘁𝗲𝗿 𝗥𝗲𝗰𝗼𝘃𝗲𝗿𝘆 (𝗗𝗥) territory.

Real-world proof:

GitLab → redundancy ≠ recovery

Maersk → one offline backup saved everything

Code Spaces → no DR = shutdown

🎯 𝗛𝗔 = 𝗸𝗲𝗲𝗽 𝗿𝘂𝗻𝗻𝗶𝗻𝗴

🎯 𝗗𝗥 = 𝗰𝗼𝗺𝗲 𝗯𝗮𝗰𝗸 𝗳𝗿𝗼𝗺 𝗳𝗮𝗶𝗹𝘂𝗿𝗲

At RELIANOID, we design both:

✔️ HA with clustering & failover

✔️ DR with multi-region + immutable backups

Because uptime is good—but 𝗿𝗲𝘀𝗶𝗹𝗶𝗲𝗻𝗰𝗲 𝗶𝘀 𝗯𝗲𝘁𝘁𝗲𝗿.

#HighAvailability #DisasterRecovery #Resilience #Cloud #DevOps #RELIANOID

https://www.relianoid.com/blog/beyond-high-availability-why-disaster-recovery-matters-and-how-relianoid-delivers/

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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.