Category: HAQM Simple Storage Service (S3)

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 HAQM Security Lake via the Leidos OCSF Integration Suite (LOIS), which bridges applications to generate OCSF-compliant messages and ingest them into HAQM 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 HAQM 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 HAQM 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.

This post showcases a way to filter and stream logs from centralized HAQM 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 HAQM 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.

There is no easier way to run HTTPS-enabled static websites on AWS than by using HAQM CloudFront and HAQM S3. In this post, we’ll look at automating website deployment on AWS using AWS Cloud Development Kit (AWS CDK) and TypeScript. We’ll use the architecture that combines CloudFront as the content delivery network, AWS Certificate Manager for secure certificate provisioning, HAQM S3 for reliable website hosting, and HAQM Route 53 as the domain name system.

Many of the requirements for meeting and maintaining a secure environment can be met by using AWS FedRAMP-authorized regions and services, which can simplify and reduce costs of the process. Over 2,000 government agencies and other entities that provide services to government agencies are using AWS services today. Learn how Antivirus for HAQM S3 by Cloud Storage Security can be used to automate malware scanning for application workflows or data ingestion pipelines to achieve data security and compliance.

Production schedules in the media and entertainment (M&E) industry often depend on how quickly creatives can access enormous files. Learn how MASV is democratizing HAQM S3 access for everyday users through its Portal file collection technology and automation. MASV is a large file transfer service widely used in the M&E space. Its users can securely send files anywhere in the world without size limits or restrictions.

Many customers are looking to the cloud for savings, scalability, and efficiencies. The Komprise approach to unstructured data simplifies the planning and the movement of data—whether it’s a complete NAS/object migration or a continuous movement of data to AWS storage services. Explore a set of tools to help analyze and understand your data to help determine the right AWS services to place the data for the best match of performance and cost.

Many organizations are adopting data lakes to handle large volumes of data, and flexible pipelines to fit the needs of consuming services and teams (machine learning, business intelligence, and analytics). In this post, we’ll explore the modern data lake and how Fivetran can help accelerate time-to-value with HAQM S3 and Apache Iceberg. Fivetran offers pre-built connectors for 300+ data sources and employs ETL to land data in the warehouse or data lake.