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@abdelbxl started using tool Debian , 1 day, 18 hours ago.
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@laura_garcia shared a post, 1 day, 20 hours ago
Software Developer, RELIANOID

Pink26: ITSM – The Next Generation 🚀

📍 February 16–18, 2026 | Las Vegas The future of IT Service Management starts here. Pink26 brings together global IT leaders for a powerful mix of innovation, learning, and real-world transformation — inspired by the spirit of Star Trek: The Next Generation. From ITSM and DevOps to AI, Agile, and Ex..

pink26 las vegas relianoid
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@shubham321 shared a post, 2 days, 16 hours ago
Software engineer, Keploy

Latency Test Guide: How to Boost App Speed and Improve UX

Did you know 100ms of lag can cost you 1% in sales? Learn how to master the latency test to isolate network, application, and database bottlenecks for a snappier, more reliable user experience

Latency testing (2)
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@laura_garcia shared a post, 2 days, 19 hours ago
Software Developer, RELIANOID

🔁 Resharing insights from our CEO on the next decade of cybersecurity (2026–2036)

🔁 Resharing insights from our CEO on the next decade of cybersecurity (2026–2036) Cybersecurity is not heading toward a single dramatic disruption. It is undergoing a structural transformation. In her latest analysis, our CEO outlines the fundamental shifts that will define the next ten years: 🔐 ..

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Delta Testing in Agile Releases: How to Validate Changes Without Retesting Everything?

Learn how delta testing helps Agile teams validate code changes efficiently, reduce regression scope, and accelerate CI/CD releases without retesting everything.

Delta Testing in Software Testing
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@laura_garcia shared a post, 3 days, 17 hours ago
Software Developer, RELIANOID

Post-Quantum Cryptography is no longer theoretical. It’s strategic.

Quantum computing will eventually break RSA and ECC — the foundations of today’s secure communications. The industry is already preparing for “Q-Day,” with NIST standardizing algorithms like CRYSTALS-Kyber and Dilithium. We are entering a hybrid era that demands crypto agility. At RELIANOID, we’re p..

Blog Post-Quantum Cryptography
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Anthropic Claude: $20,000, 16 AI Agents, and a Compiler That Builds Linux

Docker git GNU/Linux The Linux Kernel Rust

Anthropic researcher Nicholas Carlini orchestrated 16 autonomous Claude agents working in parallel to build a 100,000-line C compiler in Rust. Using a custom harness for task coordination, testing, and conflict resolution, the agent team produced a compiler capable of building Linux 6.9 across multiple architectures.

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@laura_garcia shared a post, 4 days, 17 hours ago
Software Developer, RELIANOID

Remember the AWS US-EAST-1 outage?

On October 20, 2025, AWS suffered a major outage in its most critical region (N. Virginia), causing global service disruptions for nearly 24 hours and impacting 140+ services. - No cyberattack involved. - The root cause was a DNS resolution failure in DynamoDB, triggering cascading issues across EC2..

aws outage
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.