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@laura_garcia shared a post, 1 month ago
Software Developer, RELIANOID

how to migrate ADC services from Array Networks APV Series to RELIANOID—step by step.

Migrating from legacy ADC platforms doesn’t have to be complex. In our latest Knowledge Base article, we walk you through how to migrate ADC services from Array Networks APV Series to RELIANOID—step by step. 🔍 What you’ll find inside: - Clear terminology mapping between both platforms - Practical mi..

Knowledge base migrate ADC services from ARRAY NETWORKS APV SERIES to RELIANOID
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@laura_garcia shared a post, 1 month ago
Software Developer, RELIANOID

DevOpsCon Amsterdam 2026

- 𝗗𝗲𝘃𝗢𝗽𝘀𝗖𝗼𝗻 𝗔𝗺𝘀𝘁𝗲𝗿𝗱𝗮𝗺 𝟮𝟬𝟮𝟲 𝗶𝘀 𝗷𝘂𝘀𝘁 𝗮𝗿𝗼𝘂𝗻𝗱 𝘁𝗵𝗲 𝗰𝗼𝗿𝗻𝗲𝗿! - Amsterdam, Netherlands April 20–24, 2026 Simplify complexity, amplify agility, and accelerate innovation. Join DevOpsCon Amsterdam 2026 — one of the leading conferences for professionals working with CI/CD, Kubernetes, Platform Engineering, ..

devopscon amsterdam april 26
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@sanjayjoshi shared a post, 1 month ago

10+ Shadcn Table Components, Blocks & Tools

A curated list of Shadcn table components and blocks you can use in React and Next.js projects to build clean, flexible, and production-ready data tables faster.

Thumbnail Shadcn Table
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@sancharini shared a post, 1 month ago

Black Box Testing Techniques to Improve Test Coverage

Learn black box testing techniques to improve test coverage. Explore methods like equivalence partitioning, boundary value analysis, and more with practical examples.

black box testing techniques
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@laura_garcia shared a post, 1 month ago
Software Developer, RELIANOID

𝗪𝗼𝗿𝗹𝗱 𝗤𝘂𝗮𝗻𝘁𝘂𝗺 𝗗𝗮𝘆

🚀 𝗪𝗼𝗿𝗹𝗱 𝗤𝘂𝗮𝗻𝘁𝘂𝗺 𝗗𝗮𝘆 𝗶𝘀 𝗵𝗲𝗿𝗲… and it’s not just science fiction anymore. Quantum computing is rapidly moving from theory to reality—and with it comes a 𝗺𝗮𝘀𝘀𝗶𝘃𝗲 𝘀𝗵𝗶𝗳𝘁 𝗶𝗻 𝗰𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 that organizations simply can’t ignore. Here’s the uncomfortable truth: 👉 The same technology that promises breakthrou..

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@hamzmu shared a link, 1 month ago
Fellow, Rootly

Using Graphify to turn Incident Data into a Knowledge Graph

Karpathy said we should build LLM knowledge bases. 48 hours later made Graphify was made: one command, full semantic knowledge graph.

We applied the idea to incident data turning them into a queryable and interactable semantic graph. This lets us see past fixes, predict failures, cluster services, cut alert noise, and reveal team load in seconds.

If you’re using Rootly, here is a small plugin to explore your incident data.

Check it out: github.com/Rootly-AI-Labs/rootly-graphify-importer

Interactive knowledge graph visualization of incident management data showing clustered services, alerts, and responders with connected nodes and relationships in Graphify
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@laura_garcia shared a post, 1 month ago
Software Developer, RELIANOID

Strengthen Your MFA with Google Authenticator and RELIANOID

🔐 Strengthen Your MFA with Google Authenticator and RELIANOID At RELIANOID, we take authentication seriously. We've just published a new technical guide on how to integrate Google Authenticator into the RELIANOID MFA Portal, using Active Directory or LDAP to manage user secrets. ✅ Understand TOTP vs..

2FA with AD_LDAP and Google Authenticator
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@habiledata shared a post, 1 month, 1 week ago
HabileData

5 Product Data Quality Issues in Multi-Channel Retail and How to Address Them

Weaknesses in product data expose themselves quickly in a multi-channel retail environment. Define a master schema, maintain control of your inventory and pricing via rules, continuously monitor for compliance, and connect performance metrics to the precise changes made for each SKU.

fixing-product-data-at-scale-5-issues-that-hurt-retail-listings
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@laura_garcia shared a post, 1 month, 1 week ago
Software Developer, RELIANOID

RELIANOID NIS360 Alignment & Compliance

🔐 RELIANOID NIS360 Alignment & Compliance At RELIANOID, we align our security strategy with the ENISA NIS360 Cyber Risk framework—helping organizations in critical sectors strengthen resilience and improve cybersecurity maturity. From governance and risk management to incident readiness and supply..

enisa nis360 relianoid
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@hitechdigital shared a post, 1 month, 1 week ago
Business Consulting, HitechDigital Solutions

How SolidWorks Sheet Metal CAD Drafting Delivers Shop-Ready Drawings

Fabricating sheet metal requires documentation that describes the designer’s intent of how to manufacture the part. By linking parametric 3D models directly to manufacturing documentation viasheet metal CAD draftingin SolidWorks, each dimension, bend note, and flat pattern is the same as what has be..

How SolidWorks Sheet Metal CAD Drafting Delivers Shop-Ready Drawings
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).