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This Certification Prep Guide provides an overview of the current Google Certified Professional Cloud Architect certification and offers helpful tips that you can use when preparing for your GCP certification exam.
This Certification Prep Guide provides an overview of the current Google Certified Professional Cloud Architect certification and offers helpful tips that you can use when preparing for your GCP certification exam.
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.
Here are some secrets, tips, and tricks for virtualizing your datacenter. We want to introduce some best practices for virtualization, while not being too biased towards one virtualization vendor or another. We'll use some common examples of products and tools that work with VMware's vSphere and Microsoft's Hyper-V, but with an eye toward virtualization in general, and not the specifics of any of the capable platforms that could be used). We will assume, however, that bare metal hypervisors, in other words virtualization platforms where the hyper visor is the OS, will be used as opposed to running a hypervisor on top of an existing general-purpose operating system (which is great in a lab, but terrible for data center projects).
Discover how Network Functions Virtualization (NFV) will revolutionize IT and change the way you think about network connectivity and perhaps even application development. This white paper is written for networking professionals but it may offer valuable insight for those in cross-functional roles such as DevOps, server virtualization, and data center management.
This paper is a high level, moderately technical understanding of Hyper-Converged Infrastructures. IT managers, data center architects, and administrators alike may find this information helpful in their pursuit to simplify the data center and improve application performance.
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.
A range of factors can influence the data center you choose. You should consider all of the factors listed in this white paper before deciding where to place your servers.
Google Cloud Platform (GCP) is Google’s public cloud offering comparable to Amazon Web Services and Microsoft Azure. The difference is that GCP is built upon Google's massive, cutting-edge infrastructure that handles the traffic and workload of all Google users. There is a wide range of services available in GCP ranging from Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS) to completely managed Software-as-a-Service (SaaS). We will discuss the available infrastructure components and how they provide a powerful and flexible foundation on which to build your applications.