Updates and recent posts about AIStor..

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@faun shared a link, 11 months, 3 weeks ago

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Streamlining application deployment on Kubernetes at RBC Capital Markets: A journey with FluxCD

RBC FinSec Incubatorlaunched with Rogers Cybersecure Catalyst to support fintech and cybersecurity startups in meeting financial sector needs... read more

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@faun shared a link, 11 months, 3 weeks ago

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Enforce admission policies with artifact attestations in Kubernetes using OPA Gatekeeper

OPA Gatekeeperups the ante on Kubernetes security. How? By enforcingGitHub Artifact Attestationswith the flair of a seasoned bouncer. Non-compliant images now get the boot before they even think about deployment... read more

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@faun shared a link, 11 months, 3 weeks ago

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Kubernetes configuration as code – Gitea and ArgoCD

ArgoCDbrings serious application management chops to the table. But when it meets existingHelmsetups, chaos might ensue—junk those old secrets to clear the path... read more

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@faun shared a link, 11 months, 3 weeks ago

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How To Run Kubernetes Commands in Go: Steps and Best Practices

Gocranks upKubernetesautomation, letting you tango directly with clusters at lightning speed. Forget clumsy shell scripts. Dive into Go's slick native libraries to conjure up CLI tools and seamless automation. Meanwhile, bask in rock-solid community support and run your masterpieces on any platform... read more

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@faun shared a link, 11 months, 3 weeks ago

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What's New in ArcGIS Enterprise 11.5 on Kubernetes

ArcGIS Enterprise 11.5onKubernetesjust lifted its game. It's rolling out support forStreetMap Premium, cranking up the speed with GPU nodes forNotebooks, and cozying up to the cloud viaVMware Tanzu. Expect faster GIS ops. There's also a shiny new file management UI for Notebooks, custom-built for yo.. read more

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@faun shared a link, 11 months, 3 weeks ago

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How MacOS Tahoe's killer new feature could make Docker feel obsolete

macOS Tahoerolls out nativeLinux containersupport. Goodbye, third-party hoop-jumping with Docker. Hello, secure coding paradise. Developers rejoice!.. read more

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@faun shared a link, 11 months, 3 weeks ago

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Hackers Exploit Misconfigured Docker APIs to Mine Cryptocurrency via Tor Network

Wiz Researchdives headfirst into the murky depths of150,000 cloud accounts. They unearth glaring vulnerabilities, pointing fingers at major lapses in data exposure and slipshod access controls... read more

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@faun shared a link, 11 months, 3 weeks ago

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ArgoCD: A Practical Guide to GitOps on Kubernetes

ArgoCD tackles giant deployments head-on, operating with a cunning pull-based model inside Kubernetes clusters. This clever move slashes the risk from exposed API keys and tightens security.LoveHolidays? They're jazzed. Their deploys skyrocket—over 1500 times a month. It’s a testament to ArgoCD's kn.. read more

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@faun shared a link, 11 months, 3 weeks ago

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I use these niche Docker containers to boost my productivity

Tududicorrals tasks and projects with tags, colors, and inboxes inside a nimble, containerized UI.Docmostmimics Notion with privacy-first spaces, block editing, and file embeds—no cloud lock-in.Syncthingsyncs files peer-to-peer, ditching cloud dependencies while keeping data always current.Grocyorch.. read more

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@faun shared a link, 11 months, 3 weeks ago

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Announcing Argo CD v3.1

Argo CD v3.1rolls out the red carpet forOCI registries. Now you can grab Kubernetes manifests just like container images. Security and portability take center stage. Meet the new Hydrator updates, which stitch dry commits to code, making traceability sleeker and UI displays sharper... read more

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.