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@laura_garcia shared a post, 1 week, 5 days ago

Software Developer, RELIANOID

𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗 𝗮𝘁 𝗠𝗼𝗯𝗶𝗹𝗲 𝗪𝗼𝗿𝗹𝗱 𝗖𝗼𝗻𝗴𝗿𝗲𝘀𝘀 𝟮𝟬𝟮𝟲

📍 𝗕𝗮𝗿𝗰𝗲𝗹𝗼𝗻𝗮 | 𝟮–𝟱 𝗠𝗮𝗿𝗰𝗵 𝟮𝟬𝟮𝟲 🚀 𝗝𝗼𝗶𝗻 𝗥𝗘𝗟𝗜𝗔𝗡𝗢𝗜𝗗 𝗮𝘁 𝗠𝗼𝗯𝗶𝗹𝗲 𝗪𝗼𝗿𝗹𝗱 𝗖𝗼𝗻𝗴𝗿𝗲𝘀𝘀 𝟮𝟬𝟮𝟲 (𝗠𝗪𝗖 𝟮𝟲) The world’s most influential connectivity event returns — and this year marks 20 years in Barcelona, celebrating two decades of collaboration between a global tech powerhouse and one of Europe’s most innovative ci..

mwc_barcelona_mobile_world_congress_2026_relianoid

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@idjuric660 shared a post, 1 week, 5 days ago

Technical Content Writer, Mailtrap

5 Best Email API for Laravel Developers Tested & Compared

The best email APIs for Laravel developers are Mailtrap, SendGrid, Mailgun, Amazon SES, and Postmark. To provide you with a fair and unbiased comparison of these APIs, I researched and tested them all with the help of Mailtrap email deliverability experts, security team, and developers. Together, we..

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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.