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@veljkoristic shared a post, 1 year, 3 months ago
Content Manager, Mailtrap

What Is Secure Email Server & How Does It Work?

In this article, we explain what a secure email server is and how it manages potential threats. You’ll learn how to secure email servers, how to choose a reliable provider, and how server security affects email deliverability. 

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@anjali shared a link, 1 year, 3 months ago
Customer Marketing Manager, Last9

The Ultimate Guide to Docker Clear Logs

Learn how to monitor, manage, and clear Docker logs efficiently to free up space, improve performance, and keep your containers running smoothly.

docker
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@squadcast shared a post, 1 year, 3 months ago

Prometheus vs Nagios: A Comprehensive Comparison for Monitoring Needs

Prometheus and Grafana are complementary tools in the monitoring ecosystem. Prometheus excels at collecting metrics and alerting, while Grafana specializes in data visualization and dashboard creation. Together, they provide a comprehensive monitoring solution.

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@squadcast shared a post, 1 year, 3 months ago

Incident Response Software in 2025: A Comprehensive Deep Dive into Protecting Your Digital Business Ecosystem

In 2025, incident response software is crucial for businesses to:

Detect and manage IT disruptions quickly

Automate threat response and communication

Minimize downtime and protect digital infrastructure

Provide real-time monitoring and intelligent alerting

Offer comprehensive reporting and analytics

Top solutions like PagerDuty, Squadcast, and ServiceNow help organizations stay proactive, resilient, and prepared for digital challenges.

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@sylvainkalache shared a link, 1 year, 3 months ago
Head of AI Labs, rootlyHQ

Distilled DeepSeek R1 Outperforms Llama 3 and GPT-4o in Classifying Error Logs

A benchmark report showing how a distilled version of DeepSeek R1 ranked up to GPT-o4 for processing system error logs. Small models have a bright future ahead of them.

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@laura_garcia shared a post, 1 year, 3 months ago
Software Developer, RELIANOID

Big Data & IA World Event is coming

📢 We’re heading to Big Data & AI World 2025 in London! On March 12-13, 2025, RELIANOID will be at ExCeL London, joining industry leaders to explore the latest innovations in big data and artificial intelligence. As experts in digital infrastructure and security, we’re excited to showcase how our adv..

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@durgerinku60913 shared a post, 1 year, 3 months ago

Understanding the Cloud Computing Stack Layer Market: Trends and Opportunities

Faster Development: Pre-configured environments speed up coding and testing.

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@anjali shared a link, 1 year, 3 months ago
Customer Marketing Manager, Last9

journalctl Commands Cheatsheet for Troubleshooting

Quickly diagnose and resolve system issues with this journalctl cheat sheet—essential commands for filtering, viewing, and analyzing logs.

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@anjali shared a link, 1 year, 3 months ago
Customer Marketing Manager, Last9

Prometheus API: From Basics to Advanced Usage

Learn how to use the Prometheus API, from basic queries to advanced techniques, to monitor and analyze your system metrics effectively.

Prometheus API
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@squadcast shared a post, 1 year, 3 months ago

Incident Response Tools: KPI Best Practices for Effective Incident Management

This article emphasizes the importance of using Key Performance Indicators (KPIs) to effectively manage and improve incident management processes. It details advanced KPIs like Percentage of Incidents Resolved Remotely (PIRR), Recurring Incidents Percentage, Ratio of Incidents to Problems, and Service Level Objectives (SLOs). The article also provides four best practices for implementing incident management KPIs: data standardization and visualization, leveraging predictive analysis and AI, embracing feedback loops and continuous learning, and creating benchmarks with performance assessments.

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.