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@laura_garcia shared a post, 4 days, 22 hours ago
Software Developer, RELIANOID

𝗖𝗹𝗼𝘂𝗱 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 (𝗙𝘂𝗹𝗹-𝘁𝗶𝗺𝗲 | 𝗥𝗲𝗺𝗼𝘁𝗲 / 𝗛𝘆𝗯𝗿𝗶𝗱)

🚀 𝗪𝗲’𝗿𝗲 𝗛𝗶𝗿𝗶𝗻𝗴: 𝗖𝗹𝗼𝘂𝗱 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 (𝗙𝘂𝗹𝗹-𝘁𝗶𝗺𝗲 | 𝗥𝗲𝗺𝗼𝘁𝗲 / 𝗛𝘆𝗯𝗿𝗶𝗱) At RELIANOID, we’re accelerating the evolution of our cloud-native solutions — and we need talented engineers to join us. We’re looking for 𝟮 𝗖𝗹𝗼𝘂𝗱 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿𝘀 to join our Product Engineering team and help shape the future ..

careers RELIANOID hiring
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@devopslinks shared a link, 4 days, 23 hours ago
FAUN.dev()

Please stop externalizing your costs directly into my face

SourceHut spent20–100%of weekly time mitigating hyper‑aggressive LLM crawlers. That work caused dozens of short outages and delayed core projects. The crawlers ignorerobots.txt. They hit costly endpoints likegit blame. They scan full git logs and commits. They rotate randomUser‑Agentsand thousands o.. read more  

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@devopslinks shared a link, 4 days, 23 hours ago
FAUN.dev()

Building a Least-Privilege AI Agent Gateway for Infrastructure Automation with MCP, OPA, and Ephemeral Runners

Introduces anAI Agent Gateway. It mediates agent requests, validates intent, enforcespolicy-as-code, and isolates execution inephemeral runners. Agents discover tools viaMCP. They submitJSON-RPCcalls and receiveOPAdecisions. Jobs queue and run in short-lived namespaces. Each run carries plan hashes,.. read more  

Building a Least-Privilege AI Agent Gateway for Infrastructure Automation with MCP, OPA, and Ephemeral Runners
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@devopslinks shared a link, 4 days, 23 hours ago
FAUN.dev()

The Only Claude Skill Every DevOps Engineer Needs

TheTerraform Claude SkillturnsClaude Codeinto a Terraform expert. It enforces modularity, strict naming, and consistent tagging. It treats thestate fileas the single source of truth. It wires in external tools: linting, security checks, and cost estimates. It forces real-doc validation and blocks in.. read more  

The Only Claude Skill Every DevOps Engineer Needs
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@devopslinks shared a link, 4 days, 23 hours ago
FAUN.dev()

The hunt for truly zero-CVE container images

Chainguard's Factory 2.0 andDriftlessAFrebuild images from source on upstream changes. They produce 2,000+ minimalzero‑CVEimages. Each image includes anSBOMand a cryptographicsignature. Docker'sDHIbuilds onDebianandAlpine. It mirrors Debian'sno‑DSAtriage intoVEX. It also suppresses real CVEs until D.. read more  

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@devopslinks shared a link, 4 days, 23 hours ago
FAUN.dev()

Chinese Vulnerability Database: CNVD vs CNNVD Analysis

Investigation profilesCNNVDandCNVDechoCVE. They reveal manual errors and poor machine-readability. China’s July 2021RMSVmandates 48-hour reporting and bans pre-patch disclosure. Mapping gaps exist. The databases published about1.4kentries ahead ofCVE, with lead times measured in months... read more  

Chinese Vulnerability Database: CNVD vs CNNVD Analysis
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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).