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@viktoriiagolovtseva shared a post, 7 months, 2 weeks ago

How to Use an Email Campaign Template in Jira to Launch Campaigns Faster

Great email campaigns run on clockwork processes. And Jira templates can serve as a backbone for creating a smooth workflow. Using an email campaign template will speed up and streamline campaign preparation, enabling you to kick-start the process in mere seconds. Another benefit is that your team will gain a ready action plan with clearly defined stages and dependencies. With a well-documented process and better-organized teamwork, you will be able to prepare email campaigns more quickly and efficiently.

In this blog post, we provide you with customizable email campaign templates and explain how to use them in Jira.

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@anjali shared a link, 7 months, 2 weeks ago
Customer Marketing Manager, Last9

How OpenTelemetry Auto-Instrumentation Works

OpenTelemetry auto-instrumentation uses runtime hooks and agents to collect telemetry without code changes—covering most modern stacks.

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@anjali shared a link, 7 months, 2 weeks ago
Customer Marketing Manager, Last9

How to Scale Prometheus APM for Modern Applications

Learn how to scale Prometheus APM for growing systems with practical strategies to keep queries fast and monitoring efficient.

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@mashka shared a link, 7 months, 2 weeks ago
Paid Acquisition and Growth Marketing, xygeni

Join our Upcomping Online Podcast Episode on AI Unleashed: Navigating Emerging Threats and Defenses in AppSec

AI is transforming Application Security, powering both new attacks and smarter defenses.
Join us to explore how AI-driven threats, such as polymorphic malware, prompt injections, and model tampering, are reshaping Application Security (AppSec) and how to defend against them.

📅 Date: October 22nd
⏰ Time: 16:00 (CEST) / 10:00 (EDT)
🎙 Speakers:

Atanas Nikolov — DevSecOps Expert @ RNDC Bulgaria

Jesús Cuadrado — CPO @ Xygeni

🔗 Register here to join live → https://www.linkedin.com/events/aiunleashed-navigatingemergingt7382047771396104192/

Why Attend:
💠 Learn the latest AI-powered AppSec threats
💠 Discover practical AI-driven defense techniques
💠 Strengthen your AppSec strategy for the AI era

Join us!

SafeDev Talk - AI Unleashed Navigating Threats & Defenses (1)
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@laura_garcia shared a post, 7 months, 2 weeks ago
Software Developer, RELIANOID

Security and compliance are not optional—they’re the backbone of trust.

At RELIANOID, our operations and load balancing platform are fully aligned with the ISO/IEC 27001:2022 framework, ensuring that every policy, control, and process we implement supports the same rigorous standards as certified environments. From governance and risk management to encryption, access co..

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News FAUN.dev() Team
@devopslinks shared an update, 7 months, 2 weeks ago
FAUN.dev()

Microsoft Launches Azure Kubernetes Service Automatic for Developers

Keda

Microsoft announces Azure Kubernetes Service Automatic, a fully-managed Kubernetes offering that reduces operational overhead and integrates security and reliability features by default.

News FAUN.dev() Team
@devopslinks shared an update, 7 months, 2 weeks ago
FAUN.dev()

GitHub Introduces Post-Quantum Secure SSH Key Exchange Algorithm

GitHub enabled a post-quantum secure SSH key exchange algorithm on September 17, 2025, to protect against future quantum decryption threats.

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.