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@laura_garcia shared a post, 5 months ago
Software Developer, RELIANOID

🔐 Cybertech Global TLV 2026 | Tel Aviv

January 26–28, 2026 One of the world’s leading cybersecurity events is back! Cybertech Global brings together global cyber leaders, innovators, and decision-makers at the heart of Israel’s tech ecosystem. 👉 RELIANOID will be there supporting secure, resilient digital infrastructures. #CybertechTL..

cybertech_global_tel_aviv_2026_relianoid
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@sancharini shared a post, 5 months ago

Black Box Testing Strategies for Modern Web Applications

Explore effective black box testing strategies for modern web applications. Learn how to validate user workflows, APIs, asynchronous behavior, and security while minimizing flaky tests.

Black Box Testing Strategies for Modern Web Applications
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@sancharini shared a post, 5 months ago

How to Combine Monkey Testing With Structured Test Automation?

Explore a practical approach to combining monkey testing with structured test automation, including smart test design, observability, and risk-based execution.

How to Combine Monkey Testing With Structured Test Automation?
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@idjuric660 shared a post, 5 months ago
Technical Content Writer, Mailtrap

5 Best Email API for Node.js Developers Tested & Compared

The best email APIs for Node.js developers are Mailtrap, Mailgun, SendGrid, Amazon SES, and Postmark. I tested each by building a demo application and integrating all services to find which provides the best SDK. Read on for complete results. Node.js email API comparison SDK quality SDK ‘quality’ co..

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@laura_garcia shared a post, 5 months ago
Software Developer, RELIANOID

🎉 𝗪𝗲 𝗗𝗶𝗱 𝗜𝘁 — 𝟭,𝟳𝟬𝟬+ 𝗙𝗼𝗹𝗹𝗼𝘄𝗲𝗿𝘀 𝗼𝗻 𝗟𝗶𝗻𝗸𝗲𝗱𝗜𝗻! 🚀

Big news from the RELIANOID team! We’ve just crossed 𝟭,𝟳𝟬𝟬 𝗳𝗼𝗹𝗹𝗼𝘄𝗲𝗿𝘀 on LinkedIn, and we couldn’t be more grateful 🙌 This community is growing thanks to you — our partners, customers, tech enthusiasts, and cybersecurity professionals who follow our journey in application delivery, security, and high..

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Link Xygeni Team
@mashka shared a link, 5 months ago
Paid Acquisition and Growth Marketing, xygeni

When AI Became Part of the Attack Surface

AI is now a core execution layer in software delivery. In 2025, attackers exploited automation, trusted pipelines, and AI-generated code instead of vulnerabilities. This report explains why traditional AppSec signals failed and what must change in 2026.

New AppSec Attack Trends for 2026 - Promo Redes (3)
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@viktoriiagolovtseva shared a post, 5 months ago

How to Plan a Product Release in Jira

From the Release Hub and backlog management to automated release notes, Jira has plenty of tools to help you plan your next release. In this blog post, we explain how to use these tools effectively for different release types. You will also get practical tips for extending the native Jira release planning capabilities with additional apps. Let’s dive in!

Zrzut ekranu 2026-01-20 123937
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@varbear shared a link, 5 months ago
FAUN.dev()

A better way to limit Claude Code (and other coding agents!) access to Secrets

A new workflow dropsClaude Codeinto aBubblewrap-based sandbox, cutting Anthropic's client-side code out of the trust loop. Compared to spinning up Docker or juggling user accounts, Bubblewrap locks things down tighter - with less setup and cleaner OS-level walls around files, network access, and sec.. read more  

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@varbear shared a link, 5 months ago
FAUN.dev()

Reversing YouTube's "Most Replayed" Graph

An engineer cracked open YouTube’s “most replayed” heatmap. Turns out it runs onsampled view frequency arrays, client-sidenormalization, andSVG renderingstitched together withCubic Bézier splinesfor that smooth, snappy curve. Behind the scenes, playback gets logged with adifference array + prefix su.. read more  

Reversing YouTube's "Most Replayed" Graph
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@varbear shared a link, 5 months ago
FAUN.dev()

An Honest Review of Go

Go gets big props for its built-in concurrency model withgoroutinesandchannels, which make lightweight, scalable parallelism easy and ergonomic. The author criticizes Go's type system for lacking things likeenums, closed type sets, and tuples, making certain patterns awkward compared with Rust's ric.. read more  

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).