AWS Storage Blog
Bring high-performance analytics to your lakehouse with ClickHouse and Amazon S3 Tables
Learn how to bring ClickHouse’s high-performance engine directly to data in Amazon S3 Tables using bidirectional connectivity. Query your Iceberg tables in place, run transformations in ClickHouse SQL, and write curated results back, while S3 Tables remain the single open source of truth.
Increase application availability: Configure Linux iSCSI multipath with ALUA for Amazon FSx for NetApp ONTAP
When you run production workloads on block storage attached using iSCSI, relying on a single network path between your compute and storage creates an unacceptable single point of failure. For example, if the only path between your Amazon Elastic Compute Cloud (Amazon EC2) instance and your Amazon FSx for NetApp ONTAP file system fails because […]
Reducing petabyte-scale S3 storage costs with evidence-based lifecycle rules
Learn a repeatable, evidence-based method to cut petabyte-scale Amazon S3 storage costs. Use S3 Storage Lens to find untiered buckets with near-zero retrieval, prove the cold access pattern with S3 Storage Class Analysis, and move the data to S3 Glacier Instant Retrieval with a lifecycle rule while keeping millisecond access.
How Seltz cut data costs 40% with Amazon S3 Tables
Learn how Seltz uses Amazon S3 Tables as managed Apache Iceberg storage between the stages of its billion-document Knowledge Pipeline. The team gets automatic compaction, lifecycle management, and incremental table semantics without operating that infrastructure, cutting infrastructure cost 40 percent compared to a self-managed pipeline.
How Proscia built unlimited observability with Amazon S3 and the Altinity Kubernetes Operator
Observability can claim a growing share of IT budgets. Learn how Proscia, a pathology AI company, built a self-hosted observability platform on Amazon S3, Amazon EKS, and ClickHouse managed by the Altinity Kubernetes Operator, achieving unlimited telemetry retention at object-storage cost under HIPAA, GDPR, and data-residency requirements.
Updating encryption on existing Amazon S3 objects with S3 Batch Operations
Large organizations accumulate billions of Amazon S3 objects under different encryption configurations. Learn how to use S3 Batch Operations with the new UpdateObjectEncryption API to standardize encryption across an entire bucket at scale. The approach moves objects from SSE-S3 to SSE-KMS in place, with no data movement and without breaking S3 Lifecycle policies.
Preserve FlexClone space efficiency when migrating to Amazon FSx for NetApp ONTAP
What happens when you need to migrate between separate ONTAP file systems but have multiple long-lived clones? Whether you are moving from on-premises NetApp to Amazon FSx for NetApp ONTAP, between FSx file systems, or across AWS accounts, preserving these clone relationships becomes critical. Standard file-based migration tools like rsync, robocopy, or AWS DataSync have […]
How Halliburton Landmark improves seismic interpretation performance and data management using Amazon FSx for NetApp ONTAP
Halliburton Landmark provides exploration and production software solutions that help energy customers characterize the subsurface with clarity. Landmark delivers Geosciences Suite to users around the world as a cloud service through the Amazon Web Services (AWS) cloud platform. For oil and gas operators engaged in exploration and development, seismic data, and its associated subsurface interpretations, […]
Adopt AWS Backup policies at enterprise scale using AWS Organizations
Consider a platform team responsible for data protection across a large, regulated enterprise. Over years of growth, the organization now runs hundreds of Amazon Web Services (AWS) accounts across many teams and AWS Regions, and each team has configured its own backup approach. The platform team now faces a familiar challenge: how to enforce consistent, […]
How Snap optimizes AI storage with Amazon FSx for Lustre Intelligent-Tiering
At Snap Inc., the company behind Snapchat, cost is an important factor in every infrastructure decision. With research scientists and machine learning (ML) engineers working across a wide gamut of projects, from large language models to computer vision to video generation, the AI/ML platform team faces a constant balancing act: deliver the high-performance storage that […]








