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@laura_garcia shared a post, 2 months, 3 weeks ago
Software Developer, RELIANOID

Deploy RELIANOID on Azure in minutes

🚀 Deploy RELIANOID on Azure in minutes Looking to automate your infrastructure? Our latest guide shows how to deploy 𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗 𝗟𝗼𝗮𝗱 𝗕𝗮𝗹𝗮𝗻𝗰𝗲𝗿 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲 𝗘𝗱𝗶𝘁𝗶𝗼𝗻 𝘃𝟴 𝗼𝗻 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗔𝘇𝘂𝗿𝗲 𝘂𝘀𝗶𝗻𝗴 𝗧𝗲𝗿𝗿𝗮𝗳𝗼𝗿𝗺 — fast, simple, and fully automated. 💡 What you’ll get: - End-to-end deployment (VM, network, IP, secu..

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@jillelliott created an organization eSiteWorld TechnoLabs Pvt. Ltd. , 2 months, 3 weeks ago.
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@aarroondiazz created an organization Gojek App Clone , 2 months, 3 weeks ago.
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@laura_garcia shared a post, 2 months, 3 weeks ago
Software Developer, RELIANOID

The cost of a data breach? Everything.

🚨 The cost of a data breach? Everything. 🚨 23andMe’s recent bankruptcy after a devastating data breach is a wake-up call for every business handling sensitive information. Millions of users' DNA data is now at risk of being sold, all because of inadequate security measures. A single breach can lead ..

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@cubeapm created an organization CubeAPM , 2 months, 3 weeks ago.
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@laura_garcia shared a post, 2 months, 3 weeks ago
Software Developer, RELIANOID

𝗖𝗩𝗘-𝟮𝟬𝟮𝟲-𝟮𝟯𝟭𝟭𝟮: 𝗡𝗩𝗠𝗲/𝗧𝗖𝗣 𝗞𝗲𝗿𝗻𝗲𝗹 𝗗𝗼𝗦 𝗩𝗲𝗰𝘁𝗼𝗿 – 𝗤𝘂𝗶𝗰𝗸 𝗜𝗻𝘀𝗶𝗴𝗵𝘁

🔐 𝗖𝗩𝗘-𝟮𝟬𝟮𝟲-𝟮𝟯𝟭𝟭𝟮: 𝗡𝗩𝗠𝗲/𝗧𝗖𝗣 𝗞𝗲𝗿𝗻𝗲𝗹 𝗗𝗼𝗦 𝗩𝗲𝗰𝘁𝗼𝗿 – 𝗤𝘂𝗶𝗰𝗸 𝗜𝗻𝘀𝗶𝗴𝗵𝘁 A new Linux kernel vulnerability (CVE-2026-23112) affects the NVMe/TCP target (nvmet-tcp), exposing systems to potential kernel crashes and Denial of Service (DoS) conditions. ⚙️ 𝗪𝗵𝗮𝘁’𝘀 𝗵𝗮𝗽𝗽𝗲𝗻𝗶𝗻𝗴? Improper validation in nvmet_tcp_build_pdu..

Knowledge base Troubleshooting - CVE-2026-23112 - relianoid
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@viktoriiagolovtseva shared a post, 2 months, 3 weeks ago

How to Launch Paid Ads: a Quick Guide With a Hands-on Checklist

Behind every high-performing paid ad campaign is a simple truth: success comes from preparation and optimization, not blind luck. With all the variety of ad formats and campaign types, the process can be broken down into 5 crucial stages. In this guide, we provide you with the most essential practic..

Zrzut ekranu 2026-03-25 133738
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@viktoriiagolovtseva shared a post, 2 months, 3 weeks ago

Post-mortem Incident Review

Why Structured Post-mortem Reviews Matter Security incidents, outages, and failures are inevitable, especially in fast-moving agile environments. But what separates high-performing teams from the rest is how they learn from them. A well-run incident postmortem (or post-mortem meeting) focuses on unc..

Zrzut ekranu 2026-03-23 190511
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@kala shared an update, 2 months, 3 weeks ago
FAUN.dev()

A Meta AI Agent Posted Without Permission. Then Things Got Worse.

OpenClaw

A Meta AI agent posted to an internal forum without authorization, triggering a Sev 1 incident that exposed proprietary code and user data for two hours. The advice it gave was wrong. The engineer followed it anyway. This wasn't a one-off - autonomous agents now account for more than 1 in 8 enterprise AI breaches, and most organizations have no mechanism to stop them from acting beyond their intended scope.

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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).