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Story Palark Team

@shurup shared a post, 1 month, 1 week ago

@palark

Kubernetes 1.36 new alpha features

#contain... #Contain... #Cloud N... #Cloud N... #kuberne...

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..

Story

@laura_garcia shared a post, 1 month, 1 week 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, 1 month, 1 week ago

Awesome Shadcn Tooltip Components

#shadcn ... #shadcn ... #shadcn ... #shadcn ... #best sh...

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

Story WrapPixel Team

@sanjayjoshi shared a post, 1 month, 1 week 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.

Story Keploy Team

@sancharini shared a post, 1 month, 1 week 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.

Story

@laura_garcia shared a post, 1 month, 1 week 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..

Activity

@vlebo added a new tool ctx_ , 1 month, 1 week ago.

Story

@laura_garcia shared a post, 1 month, 1 week 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 ..

Activity

@omarabid added a new tool Code Input , 1 month, 1 week ago.

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@hitechdigital created an organization HitechDigital Solutions , 1 month, 1 week ago.

AIStor is an enterprise-grade, high-performance object storage platform built for modern data workloads such as AI, machine learning, analytics, and large-scale data lakes. It is designed to handle massive datasets with predictable performance, operational simplicity, and hyperscale efficiency, while remaining fully compatible with the Amazon S3 API. AIStor is offered under a commercial license as a subscription-based product.

At its core, AIStor is a software-defined, distributed object store that runs on commodity hardware or in containerized environments like Kubernetes. Rather than being limited to traditional file or block interfaces, it exposes object storage semantics that scale from petabytes to exabytes within a single namespace, enabling consistent, flat addressing of vast datasets. It is engineered to sustain very high throughput and concurrency, with examples of multi-TiB/s read performance on optimized clusters.

AIStor is optimized specifically for AI and data-intensive workloads, where throughput, low latency, and horizontal scalability are critical. It integrates broadly with modern AI and analytics tools, including frameworks such as TensorFlow, PyTorch, Spark, and Iceberg-style table engines, making it suitable as the foundational storage layer for pipelines that demand both performance and consistency.

Security and enterprise readiness are central to AIStor’s design. It includes capabilities like encryption, replication, erasure coding, identity and access controls, immutability, lifecycle management, and operational observability, which are important for mission-critical deployments that must meet compliance and data protection requirements.

AIStor is positioned as a platform that unifies diverse data workloads — from unstructured storage for application data to structured table storage for analytics, as well as AI training and inference datasets — within a consistent object-native architecture. It supports multi-tenant environments and can be deployed across on-premises, cloud, and hybrid infrastructure.