Updates and recent posts about AIStor..

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@faun shared a link, 9 months, 1 week ago

FAUN.dev()

Kubernetes in an AI-Native World: Can It Stay Relevant?

At KubeCon + CloudNativeCon Hyderabad 2025, CNCF leads made it clear:cloud-native infraisn’t just supporting AI—it’s becoming its backbone. The conversation’s moved on from“Can Kubernetes run AI?”to“How does it evolve for AI-first everything?”.. read more

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@faun shared a link, 9 months, 1 week ago

FAUN.dev()

v1.34: Of Wind & Will (O' WaW)

Kubernetes v1.34 drops with58 updates, and23 just hit stable. Highlights: Dynamic Resource Allocation (DRA), per-Pod resource limits, and secure image pulls using Pod-specific ServiceAccount tokens. Scalability gets a lift from streaming list responses. Security tightens with finer anonymous auth r.. read more

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@faun shared a link, 9 months, 1 week ago

FAUN.dev()

Evolving Kubernetes for generative AI inference

Google Cloud, ByteDance, and Red Hat are wiring AI smarts straight intoKubernetes. Think: faster inference benchmarks, smarter LLM-aware routing, and on-the-fly resource juggling—all built to handle GenAI heat. Their new push,llm-d, bakesvLLMdeep into Kubernetes. That unlocks disaggregated serving .. read more

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@laura_garcia shared a post, 9 months, 1 week ago

Software Developer, RELIANOID

💡 What is a VIP Load Balancer?

AVIP (Virtual IP)load balancer distributes traffic across multiple servers using a single IP. It ensures: ✅ Scalability ✅ High availability ✅ Session persistence ✅ Smart traffic routing 🚀RELIANOIDtakes VIP load balancing to the next level with: 🔒 SSL offloading 📊 Dynamic health monitoring ⚖️ Advance..

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@anjali shared a link, 9 months, 1 week ago

Customer Marketing Manager, Last9

A Practical Guide to Python Application Performance Monitoring(APM)

Monitor, debug, and optimize Python apps in production with APM—track transactions, DB queries, errors, and external calls.

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@idjuric660 shared a post, 9 months, 1 week ago

Technical Content Writer, Mailtrap

How to Send Emails from Supabase using SMTP or Email API

Whether you’re confirming user signups, sending notifications, or automating workflows, Supabase makes it easy to integrate and send emails with SMTP or third-party APIs. And in this guide, I’ll walk you through every step of the process, including: - Sending emails using Supabase Auth[click here to..

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@anjali shared a link, 9 months, 1 week ago

Customer Marketing Manager, Last9

APM Logs: How to Get Started for Faster Debugging

Understand how APM logs connect metrics, traces, and events to speed up debugging and uncover root causes faster.

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@anjali shared a link, 9 months, 1 week ago

Customer Marketing Manager, Last9

OpenTelemetry API vs SDK: Understanding the Architecture

Understand how the OpenTelemetry API and SDK work together, clean instrumentation in code, and flexible data processing in configuration.

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@anjali shared a link, 9 months, 1 week ago

Customer Marketing Manager, Last9

What is Database Monitoring

Database monitoring tracks performance, health, and availability, helping detect issues early and maintain optimal operations.

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@laura_garcia shared a post, 9 months, 1 week ago

Software Developer, RELIANOID

🔒 Incident Response in 2025: Lessons Learned

June–August 2025 brought a surge in high-profile cyber incidents—from UNFI’s food supply disruption and Qantas’ customer data breach to sector-wide attacks on insurers. At the same time, AI-powered detection and new resilience features showed how fast response capabilities are evolving. At RELIANOID..

Incident Response june, july, august 2025

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.