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@koukibadr started using tool Amplitude , 1 day, 5 hours ago.
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@koukibadr shared a post, 1 day, 6 hours ago
Mobile Developer, Nventive

Optimizing Performance in Android Apps with Kotlin

Optimizing the performance of your Android applications is crucial for providing a smooth and responsive user experience. Kotlin, with its concise syntax and powerful features, offers several ways to enhance the performance of your apps. In this article, we'll explore various techniques and best pra..

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@laura_garcia shared a post, 1 day, 14 hours ago
Software Developer, RELIANOID

𝗖𝗵𝗶𝗹𝗲 𝗮𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗲𝘀 𝗶𝘁𝘀 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗰𝗮𝗹 𝗹𝗲𝗮𝗽

𝗖𝗵𝗶𝗹𝗲 𝗮𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗲𝘀 𝗶𝘁𝘀 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝗶𝗰𝗮𝗹 𝗹𝗲𝗮𝗽🚀 More than 𝟳𝟬% 𝙤𝙛 𝘾𝙝𝙞𝙡𝙚𝙖𝙣 𝙤𝙧𝙜𝙖𝙣𝙞𝙯𝙖𝙩𝙞𝙤𝙣𝙨 are actively driving projects around 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲, 𝗮𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗰𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆, 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻, 𝗮𝗻𝗱 𝗻𝗲𝘅𝘁-𝗴𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 𝗰𝗼𝗻𝗻𝗲𝗰𝘁𝗶𝘃𝗶𝘁𝘆. This rapid transformation—supported by strong public policies, 5G deployment, and long-..

Blog_Chile’s Technological Acceleration_RELIANOID
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@alok00k shared a post, 1 day, 14 hours ago

Integration Testing: The Bridge Between Unit Tests and Real-World Software Reliability

Integration testing verifies that different parts of an application—such as APIs, databases, and services—work correctly together. It helps catch real-world issues that unit tests miss, like broken data flow or failed service communication. Essential for modern apps, especially microservices, it improves reliability, reduces production bugs, and should be automated in CI/CD pipelines.

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@sancharini shared a post, 1 day, 14 hours ago

How Software Development Tools Influence Code Quality Over Time?

Learn how software development tools shape code quality over time by enforcing standards, automating testing, and improving developer workflows. Discover key factors that impact long-term software reliability.

Software Development Tools in 2026
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@koukibadr shared a link, 1 day, 14 hours ago
Mobile Developer, Nventive

Code Templating

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@laura_garcia shared a post, 2 days, 12 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.