#S3

Every story tagged S3, curated for CIOs and IT leaders — ranked by source credibility, engagement, and freshness.

5 stories · open in the command center

  • Cloud & InfrastructureHacker News3m

    Show HN: Silo – S3-compatible object storage, a maintained fork of MinIO

    Silo is a maintained, open-source fork of MinIO's S3-compatible object storage that restores features stripped from MinIO's community edition, including the full web console, security patches, and pre-built binaries—offering IT organizations a drop-in replacement with continuity assurance and transparent security management. For CIOs, this represents a strategic opportunity to reduce vendor lock-in risks, maintain supply-chain security through community-driven updates, and eliminate licensing concerns while preserving full S3 API compatibility with existing infrastructure. The active maintenance model and published security advisory process provide enterprises with the operational transparency and patching velocity often unavailable in unsupported community versions.

  • Cloud & InfrastructureHacker News3m

    Postgres data stored in Parquet on S3: LTAP architecture explained

    Databricks' Lakebase architecture separates Postgres storage into independent cloud services, eliminating traditional database limitations around durability, scaling, and high availability while reducing costs. The emerging LTAP (Lakehouse Transactional-Analytical Processing) paradigm stores operational data once in open columnar formats, enabling real-time analytics on transaction data without separate pipelines, data copies, or performance degradation—a fundamental shift from monolithic database constraints that require expensive read replicas and create resource contention between OLTP and OLAP workloads. IT leaders should evaluate whether this storage-layer unification model can reduce database infrastructure costs, simplify disaster recovery, and accelerate analytics-driven business initiatives.

  • Cloud & InfrastructureHacker News3m

    Show HN: ZeroFS – A log-structured filesystem for S3

    ZeroFS is a log-structured filesystem that abstracts S3-compatible object storage as POSIX-compliant block devices and file systems (via NFS, 9P, and NBD), enabling organizations to use cloud object storage as primary infrastructure storage with microsecond-latency caching, end-to-end encryption, and cross-region geo-distribution capabilities. This technology significantly reduces storage infrastructure costs by leveraging cheaper object storage while maintaining POSIX compliance and high performance, with comprehensive CI validation demonstrating production-grade reliability. For IT organizations, ZeroFS presents an opportunity to consolidate storage infrastructure, eliminate storage silos, and achieve cost efficiencies while maintaining compatibility with existing POSIX-based applications and workflows.

  • Cloud & InfrastructureHacker News3m

    I Just Want Simple S3

    The landscape of self-hosted S3-compatible object storage solutions remains fragmented and challenging for organizations with straightforward storage needs. Popular options like MinIO (discontinued), Garage, SeaweedFS, and CEPH either lack maturity, suffer from performance issues, or introduce unnecessary complexity for basic use cases. Emerging solutions like Versity S3 Gateway (POSIX filesystem-backed) and RustFS show promise for organizations seeking simpler alternatives, though the market lacks a clear enterprise-ready solution that balances simplicity, performance, and reliability for standard storage requirements.

  • Cloud & InfrastructureVentureBeat5m

    Amazon S3 Files gives AI agents a native file system workspace, ending the object-file split that breaks multi-agent pipelines

    Amazon's S3 Files eliminates the architectural friction between object storage and file systems by mounting S3 buckets directly as native file systems, enabling AI agents to work seamlessly with enterprise data without data duplication or sync pipelines. This breakthrough addresses a critical bottleneck in multi-agent AI workflows where context window limitations and metadata synchronization previously caused failures, while supporting thousands of concurrent connections with terabyte-scale throughput. For IT organizations, this represents a significant operational simplification—reducing data management complexity, eliminating stale metadata failures, and enabling more reliable autonomous agent deployments across cloud infrastructure.

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