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@laura_garcia shared a post, 6 months, 4 weeks ago
Software Developer, RELIANOID

🎉 We’ve just hit 1,600+ followers on LinkedIn! 🎉

A big thank you to everyone who’s part of our growing community of professionals passionate about Application Delivery, Load Balancing, and Cybersecurity. 💪 If you haven’t joined us yet, follow us on LinkedIn 👉 https://www.linkedin.com/company/relianoid/..

1600 followers RELIANOID
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@viktoriiagolovtseva shared a post, 6 months, 4 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, 6 months, 4 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, 6 months, 4 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, 6 months, 4 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 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 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.

BigQuery is a cloud-native, serverless analytics platform designed to store, query, and analyze massive volumes of structured and semi-structured data using standard SQL. It separates storage from compute, automatically scales resources, and eliminates the need for infrastructure management, indexing, or capacity planning.

BigQuery is optimized for analytical workloads such as business intelligence, log analysis, data science, and machine learning. It supports real-time data ingestion via streaming, batch loading from cloud storage, and federated queries across external data sources like Cloud Storage, Bigtable, and Google Drive.

Query execution is distributed and highly parallel, enabling interactive performance even on petabyte-scale datasets. The platform integrates deeply with the Google Cloud ecosystem, including Looker for BI, Vertex AI for ML workflows, Dataflow for streaming pipelines, and BigQuery ML, which allows users to train and run machine learning models directly using SQL.

Built-in security features include fine-grained IAM controls, column- and row-level security, encryption by default, and audit logging. BigQuery follows a consumption-based pricing model, charging for storage and queries (on-demand or reserved capacity).