Tools and applications that already speak S3 can use RustFS as their storage backend, so backup jobs, data pipelines, and services keep working while the data stays on infrastructure you control. A built-in web console on port 9001 manages buckets, object uploads and downloads, access keys, users, groups, and IAM policies, with a status page for cluster health, capacity, and scanner activity. Versioning, Object Lock retention, bucket quotas, and server-side encryption with Vault or AWS KMS backends protect objects once they land. Lifecycle rules expire or transition data, and tiering moves cold objects to remote targets such as Amazon S3 or Wasabi. Bucket replication and site replication keep clusters in sync, and event notifications call webhooks when objects change. Single-node mode suits a lab or small server, while distributed mode adds erasure coding, bitrot protection, background healing, and pool expansion or decommissioning as capacity grows. Sign-in works with local users, OIDC single sign-on, or OpenStack Keystone, and FTPS and WebDAV are available by default, with SFTP and the Swift API as opt-in builds. A preview of S3 Tables exposes an Iceberg REST catalog for tools such as DuckDB and PyIceberg, and a documented migration path moves existing MinIO deployments across. Typical uses include backups, container registries, logs and traces, data lakes, and AI training sets. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

Parseable replaces expensive Elasticsearch clusters and fragmented monitoring stacks with a single Rust binary that ingests, queries, and stores logs, metrics, and traces on commodity object storage at a fraction of the cost. The data lake architecture decouples stateless compute from S3-compatible storage, enabling independent scaling of ingestion throughput and query capacity while cutting storage costs by up to 90% compared to indexed alternatives. OpenTelemetry-native OTLP ingestion accepts telemetry from existing OTel collector pipelines, Prometheus Remote Write endpoints, Kafka consumers, eBPF probes, and popular logging agents including Fluentd, Fluent Bit, and Vector without proprietary format conversions. The SQL-first query interface enables cross-signal analysis across all telemetry types, while native PromQL support with 50+ functions and 12 aggregation operators provides Prometheus-compatible metrics querying that works directly with Grafana dashboards. Built-in features include customizable dashboards, real-time alerting with Webhook, Slack, and Alertmanager targets, role-based access control, OpenID single sign-on integration, LogIQ automatic unstructured-to-structured log transformation, smart caching for frequently accessed data, and retention policies for lifecycle management. AI-powered Keystone Q&A provides natural language to SQL conversion and dataset summarization. All data stored as standard Apache Parquet on object storage remains accessible to any Parquet-compatible engine (DuckDB, Spark, Trino), ensuring zero vendor lock-in. Deploys on AWS S3, Azure Blob, Google Cloud Storage, MinIO, Wasabi, and DigitalOcean Spaces. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.