Six Steps to Comprehensive Container Security
An application or service that you develop once to run in multiple clouds has a clear advantage over one that is bound to a single OS or runtime environment. Container technology makes it possible, but container security vulnerabilities are beginning to surface. We describe 6 steps you can take to ensure that container security doesn’t become a DevOps roadblock.
The Incredible Growth of Amazon RDS
In a new report, Stack Overflow, the leading online community for developers, analyzed its own user data to create this report.
The Business Value of Amazon Redshift Report
IDC conducted a study on behalf of Amazon Web Services (AWS) to determine what sorts of experiences its customers were having with Amazon Redshift, AWS’ data warehousing service, and quantify their benefits. IDC interviewed eight organizations using Amazon Redshift to explore its impact on their data warehousing, IT, and business operations.
Modern Data Warehousing on AWS
With ever growing data, organizations can gain valuable insights from analytics. However, to cost effectively capture and analyze data, they must first modernize legacy on-premises data warehouses, which are often costly and slow to scale. This makes it difficult to ingest, process, and analyze data quickly enough to gain time-sensitive insights.
Amazon Redshift API Reference Guide
provisioning capacity, monitoring and backing up the cluster, and applying patches and upgrades to the Amazon Redshift engine. You can focus on using your data to acquire new insights for your business and customers.
Getting Started with Amazon Redshift
Amazon Redshift is a fully managed, petabytescale data warehouse service in the cloud. An Amazon Redshift data warehouse is a collection of computing resources called nodes, which are organized into a group called a cluster. Each cluster runs an Amazon Redshift engine and contains one or more databases.
Amazon Aurora Migration Handbook
Amazon Aurora is a MySQL-compatible, enterprise-grade relational database engine built for the cloud. This handbook outlines the best practices for planning, executing, and troubleshooting database migrations from MySQL-compatible and nonMySQL-compatible database products to Amazon Aurora. This handbook also teaches Amazon Aurora database administrators how to diagnose and troubleshoot common migration and replication errors.
Getting Started with Amazon Aurora
Amazon Aurora is a MySQL-compatible, enterprise-grade relational database engine built for the cloud. Amazon Aurora helps overcome the limitations of traditional relational database engines. The goal of this whitepaper is to help you understand the benefits of Amazon Aurora and to walk you through the steps required to create and connect to your Amazon Aurora database.
