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This Certification Prep Guide provides an overview of the current AWS Certified Solutions Architect – Associate certification and offers helpful tips that you can use when preparing for your AWS Architect certification exam.
This Certification Prep Guide provides an overview of the current AWS SysOps Administrator certification and offers helpful tips that you can use when preparing for your AWS SysOps Administrator certification exam.
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.
Getting a clear understanding of what Amazon Web Services (AWS) is and how it can help your business can be a daunting task. The depth and breadth of AWS is significant, comprising over 100 services in dozens of data centers located in 16 Regions throughout the globe (with five more in the works). They offer computing, storage, networking, deployment, management, and a host of "supporting" services like queues, serverless functions, and e-mail. There's a great chance that AWS has more than a few products to help you work faster, smarter, and more cost effectively. So, where should you start?
Learn how Docker makes it easy to update, test and debug software with this white paper and gain foundational knowledge about Dockerfile, Docker images and containers.
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.
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.
Amazon Redshift opens up enterprise data warehouse (EDW) capabilities to even the smallest of businesses, yet its costs, security, and flexibility also make it appealing to the largest of enterprises. It allows companies to easily and conveniently scale their EDW needs both up and down, and as a managed service, it allows your team to offload all of the "undifferentiated heavy lifting" of building and maintaining an EDW. Its raw storage costs are about one-fifth to one-tenth of traditional in-house EDW, and AWS has taken great care to ensure its performance is still competitive with those in-house solutions. Before deciding to use Amazon Redshift, however, it's important to understand what it is and is not.
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.
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.