Updates and recent posts about AIStor..

Posts
Description

Story

@shurup shared a post, 2 months, 2 weeks ago

@palark

Helm 4 or Nelm? What's the difference

#Helm #Cloud N... #werf #Nelm #kuberne...

Helm 4.0.0 brought several new features to its users, such as Server-Side Apply support and kstatus-based resource watching.Nelm, an alternative to Helm created in werf, a CNCF Sandbox project, has been offering these capabilities even before. Nelm has many more new features for Kubernetes deploymen..

Link

@anjali shared a link, 2 months, 2 weeks ago

Customer Marketing Manager, Last9

Which Observability Tool Helps with Visibility Without Overspend

A detailed look at observability platforms so you can choose tools that keep visibility high and costs steady as your systems scale.

Story

@laura_garcia shared a post, 2 months, 2 weeks ago

Software Developer, RELIANOID

🚀 RELIANOID at DevOpsDays Tel Aviv 2025

📅 December 11, 2025 • 📍 Tel Aviv, Israel What a week ahead! Our team is working full-throttle as we prepare to attend three major events in just a few days — and we’re thrilled to add DevOpsDays Tel Aviv to the list. We’ll be joining the community to share how RELIANOID helps DevOps and platform tea..

Story

@laura_garcia shared a post, 2 months, 2 weeks ago

Software Developer, RELIANOID

🛡️ RELIANOID at Black Hat Europe 2025

📅 December 8–11, 2025 • 📍 London, UK RELIANOID is heading to Black Hat Europe 2025, the premier global event for cutting-edge cybersecurity research and innovation. We’ll be in London showcasing how our high-performance ADCs, intelligent proxy architecture, and automated security capabilities help e..

Link

@anjali shared a link, 2 months, 2 weeks ago

Customer Marketing Manager, Last9

OTel Updates: Unroll Processor Now in Collector Contrib

The OTel unroll processor splits bundled log records into individual events. Now in Collector Contrib v0.137.0 for VPC and CloudWatch logs.

Story

@laura_garcia shared a post, 2 months, 2 weeks ago

Software Developer, RELIANOID

Tesco’s latest outage is a reminder: uptime IS the customer experience.

Shoppers across the UK faced checkout failures, broken order updates, and Clubcard access issues as Tesco’s digital platforms suffered “intermittent” instability. In modern retail, even brief disruptions damage trust, loyalty, and sales. At RELIANOID, we help retailers stay resilient with intelligen..

Link

@anjali shared a link, 2 months, 2 weeks ago

Customer Marketing Manager, Last9

Instrumentation: Getting Signals In

See how instrumentation in OpenTelemetry helps track app issues, know the difference between auto and manual methods, and when to use them.

Activity

@devopslinks added a new tool Syft , 2 months, 2 weeks ago.

Activity

@kaptain added a new tool KubeLinter , 2 months, 2 weeks ago.

Activity

@devopslinks added a new tool Grype , 2 months, 2 weeks 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.