Category: Storage

Customer data is critical for modern digital organizations, but is often scattered across tools which can render it useless. Historically, customer data platforms (CDPs) aimed to consolidate data for insights and activation, but organizations now prefer a composable CDP architecture on AWS to sync data from Amazon Redshift and Amazon S3 into downstream tools. Hightouch facilitates this composable CDP approach, making it easy to activate AWS data across channels without engineering work.

AWS Backup simplifies policy-based data protection at scale, and observability offers insights into the backup process for monitoring, issue detection, troubleshooting, and optimization. This ensures backup dependability, efficiency, and security. CloudQuery enables managing and visualizing AWS Backup across accounts, including backup health, configuration, and protected resources to facilitate building a robust compliance posture.

As systems generate increasing data, making sense of it is critical. Application logs are unique and not standardized. Leidos addresses logging issues using the Open Cybersecurity Schema Framework (OCSF) and Amazon Security Lake via the Leidos OCSF Integration Suite (LOIS), which bridges applications to generate OCSF-compliant messages and ingest them into Amazon Security Lake for analysis and visualization.

Skuid by Nintex is a low-code platform for rapidly building enterprise web apps. This post demonstrates using Skuid to connect to Amazon S3, listing bucket contents in a table, and enabling upload, download, and delete actions. With just a few configuration steps and zero coding, Skuid integrates data from services like S3 into polished, branded experiences, and streamlines building cloud-native apps without compromising power or flexibility.

Spatial data creates data management challenges. Ellipsis Drive on Amazon S3 solves pain points: no scalable ingestion into a data lake, no interoperable searchability for analytics, no on-demand rendering. Benefits include scalability and time savings on management and transformation by automating ingestion and structuring; faster querying using patent-pending archives; and instant access to data to feed models and apps.

Industrial IoT adoption is increasing the connectivity of operational technology to IT systems, necessitating better visibility into assets. Claroty Edge on AWS Snowcone enables asset discovery to build an accurate inventory and identify vulnerabilities. Combined with Claroty xDome, this provides comprehensive IT/OT asset management and vulnerability insights. xDome integrates with AWS Security Hub to simplify deploying asset visibility and enable organizations to defend and secure their connected environments.

Many Kubernetes applications require access to persistent storage and data services, including block storage, shared file systems, and object storage. Learn how MYCOM OSI has improved the cost-performance dimension by adopting Amazon FSx for NetApp ONTAP. This post explores how the storage option was evaluated to identify a solution that optimizes the handling of large and complex telco assurance datasets.

Dynamically adjusting infrastructure capacity based on usage fluctuations allows you to gain operational and cost benefits. Learn how Zesty Disk helps achieve greater cost efficiency and consistent performance when managing Amazon EBS volumes, and how to optimize storage at run time without adding complexity or being exposed to data on the disk. Zesty Disk’s auto-scaling technology eliminates the need for manual adjustments, streamlining operations and reducing the cognitive load for developers.

This post showcases a way to filter and stream logs from centralized Amazon S3 logging buckets to Splunk using a push mechanism leveraging AWS Lambda. The push mechanism offers benefits such as lower operational overhead, lower costs, and automated scaling. We’ll provide instructions and a sample Lambda code that filters virtual private cloud (VPC) flow logs with “action” flag set to “REJECT” and pushes it to Splunk via a Splunk HTTP Event Collector (HEC) endpoint.

Learn how to implement a data lakehouse using Amazon S3 and Dremio on Apache Iceberg, which enables data teams to quickly, easily, and safely keep up with data and analytics changes. This helps businesses realize fast turnaround times to process the changes end-to-end. Dremio is an AWS Partner whose data lake engine delivers fast query speed and a self-service semantic layer operating directly against S3 data.