Search Results for "filesystems"

...Instead of forcing you to change how you write your code, the package by default bootstraps tenancy automatically, in the background. Database connections are switched, caches are separated, filesystems are prefixed, etc. Out of the box, the package makes the following things tenant-aware: databases, caches, filesystems, queues, redis stores. This means that if you've already written your app and are looking to make it multi-tenant, you don't have to change anything.

...There are already other utilities to work with S3 and similar object storage services, thus it is natural to wonder what s5cmd has to offer that others don't. s5cmd supports wide range of object management tasks both for cloud storage services and local filesystems. List buckets and objects. Upload, download or delete objects. Move, copy or rename objects. Set Server Side Encryption using AWS Key Management Service (KMS). Set Access Control List (ACL) for objects/files on the upload, copy, move. Print object contents to stdout. Select JSON records from objects using SQL expressions. Create or remove buckets. ...

MinIO Client (mc) provides a modern alternative to UNIX commands like ls, cat, cp, mirror, diff, find etc. It supports filesystems and Amazon S3-compatible cloud storage service (AWS Signature v2 and v4). MinIO is distributed under GNU AGPLv3. See the source tree for complete information on all components of the work and their licenses. MinIO is a high-performance object storage solution that provides an Amazon Web Services S3-compatible API and supports all core S3 features.

Kedro is an open sourced Python framework for creating maintainable and modular data science code. Provides the scaffolding to build more complex data and machine-learning pipelines. In addition, there's a focus on spending less time on the tedious "plumbing" required to maintain data science code; this means that you have more time to solve new problems. Standardises team workflows; the modular structure of Kedro facilitates a higher level of collaboration when teams solve problems...

...Developers program against high-level APIs—DataStream and Table/SQL—to express transformations, joins, and stateful patterns, while specialized libraries support CEP, machine learning workflows, and connectors. A rich connector ecosystem integrates with systems like Kafka, Kinesis, filesystems, JDBC sources/sinks, and object stores. Deployments span Kubernetes, YARN, Mesos, and standalone clusters, and operational features such as savepoints, state backends, and metrics make long-running jobs manageable in production.

A toolkit for building user-level filesystems on the Windows operating system