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@encodedots created an organization EncodeDots , 1 week ago.
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@anjali shared a link, 1 week ago
Customer Marketing Manager, Last9

How to Track Down the Real Cause of Sudden Latency Spikes

Sudden latency spikes rarely have a single cause. This blog shows how to uncover the real source using traces, histograms, and modern debugging signals.

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@anjali shared a link, 1 week, 1 day ago
Customer Marketing Manager, Last9

Hidden Correlations Traditional Monitoring Misses

Last9 is built to work with high-cardinality telemetry, and we’ve been covering it in detail through our series. This piece looks at a familiar pain: issues that only show up for a specific tenant or deployment. Why does that context disappear in most monitoring setups?

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@shurup shared a post, 1 week, 1 day ago
@palark

Helm 4 or Nelm? What's the difference

Helm werf

Helm 4.0.0 brought several new features to its users, such as Server-Side Apply support and kstatus-based resource watching.Nelm, an alternative to Helm created in werf, a CNCF Sandbox project, has been offering these capabilities even before. Nelm has many more new features for Kubernetes deploymen..

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@anjali shared a link, 1 week, 4 days ago
Customer Marketing Manager, Last9

Which Observability Tool Helps with Visibility Without Overspend

A detailed look at observability platforms so you can choose tools that keep visibility high and costs steady as your systems scale.

go
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@laura_garcia shared a post, 1 week, 5 days ago
Software Developer, RELIANOID

🚀 RELIANOID at DevOpsDays Tel Aviv 2025

📅 December 11, 2025 • 📍 Tel Aviv, Israel What a week ahead! Our team is working full-throttle as we prepare to attend three major events in just a few days — and we’re thrilled to add DevOpsDays Tel Aviv to the list. We’ll be joining the community to share how RELIANOID helps DevOps and platform tea..

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@laura_garcia shared a post, 1 week, 5 days ago
Software Developer, RELIANOID

🛡️ RELIANOID at Black Hat Europe 2025

📅 December 8–11, 2025 • 📍 London, UK RELIANOID is heading to Black Hat Europe 2025, the premier global event for cutting-edge cybersecurity research and innovation. We’ll be in London showcasing how our high-performance ADCs, intelligent proxy architecture, and automated security capabilities help e..

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@anjali shared a link, 1 week, 6 days ago
Customer Marketing Manager, Last9

OTel Updates: Unroll Processor Now in Collector Contrib

The OTel unroll processor splits bundled log records into individual events. Now in Collector Contrib v0.137.0 for VPC and CloudWatch logs.

Unroll Processor
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.