What is it?
Basics
- There are other Computing models too, such as Traditional Computing, Mobile Computing, Client-Server Computing, and P2P Computing, Embedded Systems etc.
- Cloud is basically outsourcing our services and applications to a third party, instead of running and maintaining a data centre on our own, because it’s not their primary business, allowing them to focus on what really matters.
- We can outsource the work, but not the liability. If we get breached, we have to answer to our clients. But that doesn't mean, maintaining a data centre on our own when we have insufficient resources, make us even more vulnerable. We must choose accordingly.
Cloud computing models
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👉 Public Cloud model
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The infrastructure and the hardware are both owned by a third-party cloud provider, available for anyone willing to pay the fee.
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👉 Private Cloud model
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The hardware and the infrastructure are both owned& managed by the enterprise itself, for their own usage.
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👉 Hybrid Cloud model
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Combination of both public& private cloud models viz. the utilising the cloud infrastructure on their own, and also making it available for the public to use.
Cloud services
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👉 Infrastructure as a Service (IaaS)
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Organisations can directly rent the IT infrastructure over the Internet from a public cloud provider for their own business needs. They’re metered on the basis of I/O, RAM or bandwidth.
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👉 Platform as a Service (PaaS)
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Making a software stack available via the Internet for the public to use, such as database online services.
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👉 Software as a Service (SaaS)
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Making a set of software available via the Internet for the public to use, such as an online word processor.
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👉 Big Data Cloud
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Big Data is all about amassing incredibly amounts of data and then performing various analysis on it. People find it easier to use a cloud service provider to store all the data rather than managing it themselves.
Information Management
Introduction
- Companies transitioning to the cloud are finding it more difficult to implement traditional security controls over the data.
- Data management in this case starts with managing internal data while migrating to cloud architecture
- Information and data security requires net architecture and strategy when moving into the cloud.
>Logical vs Physical Locations Of Data
- It's important to understand the logical and physical location of data due to regulatory, legal, contractual and jurisdictional issues
>Volume Storage
- This includes virtual hard drives and IaaS instances
- Supports security and resiliency due to the Data Dispersion Technique