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Story HitechDigital Solutions Team
@hitechdigital shared a post, 2 months 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
Story Palark Team
@shurup shared a post, 2 months ago
@palark

Kubernetes 1.36 new alpha features

Kubernetes

Kubernetes v1.36 will be released in 2 weeks. What will change? Here are prominent newly introduced alpha features in the v1.36 release: - Workload-aware preemption. Groups of related Pods are now treated as a single entity. - Topology-aware workload scheduling, allowing you to place a group of Pods..

kubernetes-v1.36-release
Story
@laura_garcia shared a post, 2 months ago
Software Developer, RELIANOID

𝗡𝗲𝘁𝘄𝗼𝗿𝗸 𝗔𝘁𝘁𝗮𝗰𝗸𝘀 𝟭𝟬𝟭: 𝗪𝗵𝘆 𝗕𝗼𝘁𝗻𝗲𝘁𝘀 𝗔𝗿𝗲 𝗮 𝗠𝗮𝗷𝗼𝗿 𝗧𝗵𝗿𝗲𝗮𝘁

🔐 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 𝗔𝘁𝘁𝗮𝗰𝗸𝘀 𝟭𝟬𝟭: 𝗪𝗵𝘆 𝗕𝗼𝘁𝗻𝗲𝘁𝘀 𝗔𝗿𝗲 𝗮 𝗠𝗮𝗷𝗼𝗿 𝗧𝗵𝗿𝗲𝗮𝘁 Cyberattacks are evolving fast. Among the most common: MITM DDoS IP & DNS Spoofing Rootkits Botnets ⚠️ 𝗕𝗼𝘁𝗻𝗲𝘁𝘀 𝘀𝘁𝗮𝗻𝗱 𝗼𝘂𝘁—networks of infected devices used for DDoS, data theft, and large-scale attacks. 🛡️ 𝗛𝗼𝘄 𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗 𝗣𝗿𝗼𝘁𝗲𝗰𝘁𝘀 𝗬𝗼𝘂 Traffic filter..

Story
@vaibhavgupta shared a post, 2 months ago

Awesome Shadcn Tooltip Components

Next.js React tailwindcss TypeScript

The blog introduces 7 reusable tooltip components built with shadcn/ui for React apps - focused on accessibility, customization, and real-world UI use cases.

Shadcn Tooltip Components
Story WrapPixel Team Trending
@sanjayjoshi shared a post, 2 months ago

Build Login Faster with These Free Shadcn Login Blocks & Components

Looking for a clean login UI for your web project?
Here are some practical Shadcn login components & blocks built for React and Next.js simple, fast, and easy to integrate.

Login Thumbnail
Story Keploy Team
@sancharini shared a post, 2 months ago

Black Box vs White Box Testing in Unit, Integration & E2E Testing: Where Each Belongs

Understand where black box and white box testing belong across unit, integration, and E2E testing. Learn the right technique for every layer of your test suite.

black box vs white box testing image
Story
@laura_garcia shared a post, 2 months ago
Software Developer, RELIANOID

Deploy RELIANOID Load Balancer Community Edition v7 on AWS in minutes with Terraform.

⚡ Deploy RELIANOID Load Balancer Community Edition v7 on AWS in minutes with Terraform. From zero to a fully functional load balancer — automated, reproducible, and ready to go. 👉 Follow the step-by-step guide and get started fast. #Terraform#AWS#InfrastructureAsCode#DevOps#RELIANOID#Automation http..

terraform_relianoid_community_img2 (1)
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@vlebo added a new tool ctx_ , 2 months ago.
Story
@laura_garcia shared a post, 2 months ago
Software Developer, RELIANOID

𝗨𝗞 𝗣𝗦𝗧𝗜 𝗔𝗰𝘁: 𝗔 𝗡𝗲𝘄 𝗘𝗿𝗮 𝗳𝗼𝗿 𝗖𝗼𝗻𝗻𝗲𝗰𝘁𝗲𝗱 𝗗𝗲𝘃𝗶𝗰𝗲 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆

🔐 𝗨𝗻𝗱𝗲𝗿𝘀𝘁𝗮𝗻𝗱𝗶𝗻𝗴 𝘁𝗵𝗲 𝗨𝗞 𝗣𝗦𝗧𝗜 𝗔𝗰𝘁: 𝗔 𝗡𝗲𝘄 𝗘𝗿𝗮 𝗳𝗼𝗿 𝗖𝗼𝗻𝗻𝗲𝗰𝘁𝗲𝗱 𝗗𝗲𝘃𝗶𝗰𝗲 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 The UK is raising the bar on cybersecurity with the Product Security and Telecommunications Infrastructure (PSTI) Act, now in force since April 2024. As cyber threats continue to grow, this regulation introduces a baseline for ..

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@omarabid added a new tool Code Input , 2 months, 1 week ago.
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).