Docker samples for JavaScript.

Docker samples for Plex.

Docker samples for Prometheus.

The procedure on this page creates a new object lifecycle management rule that transition objects from an AIStor bucket to a remote storage tier on the storage backend. This procedure supports use cases like moving aged data to low-cost public cloud storage solutions after a certain time period or calendar date. Requirements Install and configure mc This procedure uses mc for performing operations on the AIStor cluster. Install mc on a machine with network access to both source and destination clusters. See the mc Installation Quickstart for instructions on downloading and installing mc.

This page provides an overview of AIStor Server deployment architectures from a production perspective. A production AIStor Server deployment consists of at least 4 hosts with homogeneous storage and compute resources. Each AIStor Server host in this pool has matching compute, storage, and network configurations These hosts make up a server pool, where the AIStor Server presents the aggregated compute, memory, and storage as a single resource to clients. Each pool consists of one or more erasure sets

Site replication configures multiple independent AIStor deployments as a cluster of replicas called peer sites. Site replication assumes the use of either the included AIStor identity provider (IDP) or an external IDP. All configured deployments must use the same IDP. Deployments using an external IDP must use the same configuration across sites. AIStor does not recommend using macOS, Windows, or non-orchestrated containerized deployments for site replication except for early development, evaluation, or general experimentation.

AIStor uses Policy-Based Access Control (PBAC) to define the authorized actions and resources to which an authenticated user has access. Each policy describes one or more actions and conditions that outline the permissions of a user or group of users. AIStor PBAC is built for compatibility with AWS IAM policy syntax, structure, and behavior. This documentation makes a best-effort to cover IAM-specific behavior and functionality. Refer also to the AWS IAM documentation for more information.

AIStor Server implements Erasure Coding as a core component in providing data redundancy and availability. The diagrams and content in this section present a simplified view of erasure coding operations and are not intended to represent the complexities of the AIStor Server’s full erasure coding implementation. AIStor groups drives in each server pool into one or more Erasure Sets of the same size.

AIStor Server publishes cluster and node metrics using the Prometheus Data Model. You can use any scraping tool to pull metrics data from AIStor Server for further analysis and alerting. This page covers metrics version 3, which has additional metrics and endpoints. Existing deployments can continue to use version 2 metrics. Version 3 endpoints The base endpoint, without an added path, returns cluster, node, and per-bucket statistic metrics from /cluster/usage/buckets.

AIStor supports publishing audit logs to one or more configured Apache Kafka receivers. AIStor send an event for each API operation to the receiver for processing and storage. The receiver is responsible for correctly processing events, including returning 200OK or similar success messages upon receipt of the event. AIStor cannot recover events that were successfully sent but not correctly stored on the receiver. You can configure a new Kafka audit endpoint using either environment variables or runtime configuration settings. If you configure both, AIStor uses the environment variables.