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Cloud computing is a big force in IT today, and it isn't going away. In fact, cloud adoption is going up geometrically, both for end users (think apps on your phone or tablet) as well as for organizations of all sizes. In fact, many smaller organizations may not have any on-premises infrastructure at all, other than networking infrastructure to get connected to the cloud. With this transformation in IT, it behooves all of us in the industry to understand it and adapt or risk being out of a job, like punch card operators.
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.
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). In the first part of this series, we will discuss the available infrastructure components and how they provide a powerful and flexible foundation on which to build your applications.
One of the many useful features of tunneling is to carry non-IP traffic across an IP network, and this is still the case when dealing with IPv6 traffic. This transition mechanism makes use of a configured tunnel to transport IPv6 over a native IPv4 network, which may consist of two sites or more. Unlike the previous transition mechanisms, tunneling is not monolithic; while the basic principles may be similar, the operations are different. The following chart gives a breakdown of the current, major tunneling types in use, particularly in a Cisco environment:
Many people believe that cloud computing requires server (or desktop) virtualization. But does it? We will look at using virtualization without cloud computing, cloud computing without virtualization, and then look at using both together. In each case, we'll look at where each deployment might be most useful, some use cases for it and some limitations.
While the recent trend towards cloud computing might make it seem like virtualization is new, it has existed in some form for many decades.
This paper provides an overview of how to judge the rigor of one's decision making. It describes how anyone can make better (higher quality) decisions, in any situation.
Learn about the Amazon Web Services platform, products, and services. Gain on-demand access to compute, storage, and database services without upfront costs.
Learn about Cloud Computing with AWS and the benefits AWS provides to hundreds of thousands of customers globally.
There are many questions you should ask before selecting your PaaS provider. Learn what you need to know in order to compare and contrast PaaS with the other offerings like IaaS and SaaS, and what they require in terms of setup and configuration. As with any decision involving IT infrastructure there are many variables that should be considered to ensure you find a solution that will fit your current and future needs, budget and support requirements.