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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).

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.

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.

In this one-hour webinar, AWS consultant and instructor Ryan Dymek, will discuss how to optimize your AWS architecture design.

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.

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.  

Google Cloud certifications had a breakout year according to the Global Knowledge 2019 IT Skills and Salary Report. GCP Cloud Architect is the top-paying IT certification in North America and Europe, the Middle East and Africa (EMEA), while Google Cloud salaries are 34% higher than the average for North America. As more IT departments adopt multi-cloud strategies, Google Cloud skills are increasing in popularity.

Making strides as a top contending cloud provider is Google Cloud Platform (GCP). In the growing cloud market, it’s important for organizations to understand the core products and services, how GCP can be utilized and see it in action.

For organizations getting started with RHEL, Red Hat Training has developed a series of courses to develop the skills needed for basic administration and configuration of Red Hat Enterprise Linux. These courses introduce key command line concepts and enterprise-level tools, laying the foundation for the rapid deployment of Red Hat Enterprise Linux. The curriculum also introduces the basic administration skills needed for resolving configuration issues and integrating Red Hat Enterprise Linux systems with other existing environments. View the slide deck>>

The Red Hat® Learning Subscription delivers 12-months of unlimited access to all Red Hat Online Training courses. The Standard RHLS subscription is a higher tier with access to 5 certification exams and up to 2 retakes.