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AWS is an incredibly rich ecosystem of services and tools, some of which have security aspects baked in (like S3 SSE), and others that provide overarching security capabilities (like IAM and VPC) that apply to many services. With regard to data storage, operating system, and applications, security functions largely the same in the cloud or on-premises software. Customers can and should continue to follow best practices that have served them well in their own data centers.
You’ll be hearing a lot about AWS in Canada in 2017 as Canadian organizations are evaluating their options for moving to the cloud. Now is the time to get up to speed and find out what you and your organization need to know.
This white paper explores the native AWS storage solutions, enabling you to deliver applications in the cloud in the most efficient, cost-effective, and secure manner. In terms of storage, it's important to understand the characteristics of each AWS storage option so that you can implement one or more AWS storage services to meet your needs. Often, you'll find that utilizing multiple storage options together will give you the best outcomes.
The value of IT certifications has grown considerably over the last decade. Examine the evolution of certification trends, see the top-paying certifications and learn how decision-makers are struggling to hire certified employees.
As far as modern architectures go, there are few more complicated than an IoT pipeline. You’ve got to consider an ingestion layer (typically streaming) that may undergo manic load. You’ve got to think of data tagging, storage (probably across multiple engines), archival and access—both internal and external. And all of it has to scale like crazy, be as cost effective as possible, and use automation wherever it can. Oh, and your boss needs the IoT pipeline built by tomorrow. Short timelines? Tight budget? Unrealistic expectations? Unfortunately, these asks are realities for many cloud professionals. AWS knows this and is here to help.
The idea of building and running applications without thinking about the servers (AKA serverless computing) is a developers dream come true. Watch expert Rich Morrow to understand: The benefits of using serverless computing Different architectures that use serverless computing How AWS services, like Lambda, S3, API Gateway and DynamoDB work together to enable faster and more flexible application deployment and management. This video also features a live demo: Building a web app with only serverless components.
In this one-hour webinar, AWS consultant and instructor Ryan Dymek, will discuss how to optimize your AWS architecture design.
Discover how the enhanced performance and reliability of Amazon Aurora will help AWS customers reduce performance bottlenecks in their applications. The relatively low cost of Aurora will tempt many customers to migrate workloads to this implementation of RDS.
AWS has introduced Auto Scaling so that you can take advantage of cloud computing without having to incur the costs of adding more personnel or building your own software. You can use Auto Scaling to scale for high availability, to meet increasing system demand, or to control costs by eliminating unneeded capacity. You can also use Auto Scaling to quickly deploy software for massive systems, using testable, scriptable processes to minimize risk and cost of deployment.
Database Management Systems (DBMS) have been monolithic structures with their own dedicated hardware, storage arrays, and consoles. Amazon Web Services (AWS) realized that while each company can use unique methods of collecting and using data, the actual processes of building the management infrastructure are almost always the same. AWS remedies DBMS problems with its Amazon Relational Database Service (Amazon RDS).