Cloud Computing

Hello, a reader let’s move on to the cloud computing topic.

The delivery of different services through the internet includes tools and applications like data storage. servers database, networking, and software.

  1. Great availability of resources
  2. On-demand self-service
  3. Easy maintenance
  4. Pay as you go
  5. Automatic system
  6. Large network access

On-demand self-service

A consumer can unilaterally provision computing capabilities, such as server time and networked storage, as needed

automatically without requiring human interaction with each service provider.

Broad network access

Capabilities are available over the network and accessed through standard mechanisms that promote use by heterogeneous

thin or thick client platforms (e.g mobile phones, tablets laptops, and workstations ).

Resource pooling

The provider computing resource is pooled to serve multiple consumers using a multi-tenant physical and virtual resource dynamically assigned and reassigned according to consumer demand.

There is a sense of location independence in that the customer generally has no control or knowledge over the exact location of the provided resource but may be able to specify the area at a higher level of abstraction.

Rapid elasticity

Capabilities can be elastically provisioned and released, in some cases automatically, to scale rapidly outward and inward commensurate with demand. To the consumer, the powers available for provisioning can be appropriated in any quantity at any time.

Measured service

Cloud systems automatically control and optimize resource use by leveraging a metering capability at some level of abstraction appropriate to the type of service.

Resource usage can be monitored, controlled and reported, by providers and consumers of the utilized service.

Advantages of Cloud Computing

  • Environment Friendly
  • Software Integration
  • Cost Proficient
  • More Secure
  • More Flexible
  • Infinite Storage
  • Rapid Development
  • Streamline Work-Flow
  • Backup and Recovery
  • Document Control

Disadvantages of Could Computing

  • Data loss or theft.
  • Data leakage
  • Account or Service
  • Insecure interfaces and APIs.
  • Denial of service attacks
  • Technology vulnerabilities, especially in shared environments.

Types of Cloud Computing services

1.IaaS

2. Paas

3. Saas

4. Faas

Saas software as a service For customers

A product that is run and managed by the service provider Don’t worry about how the service is maintained. it just works and remains available.

Paas Platform as a service For developers

Focus on the deployment and management of your apps. Don’t worry about, provisioning, configuring or understanding the hardware or OS.

Iaas Infrastructure as a service

The basic building blocks for cloud IT. Provides access to networking features, computing and data storage space.

Don’t worry about IT staff, data centres and hardware.

The Future of Cloud Computing Solutions

35% of new apps use cloud-based DevOps lifecycles and continuous delivery

65% of enterprise IT companies adopt a Hybrid Cloud

36% of all data are currently in the cloud.

The Futures of cloud computing in the next 5 years

Cloud Computing is the delivery of computing services including service database networking, software, analytics and intelligence

over the internet (the cloud) to offer innovation, flexible resources and economies of scale.

Typically cloud services are a pay-as-pay go service meaning you only pay for the cloud service you use helping you lower operating costs, run your infrastructure more efficiently and scale as your business needs change

Types of Cloud Deployment

1. Public Cloud computing.

2. Private Cloud computing.

3. Hybrid Cloud computing.

4. Community Cloud computing.

Cloud providers in 2025 will sell solutions, not infrastructure.

The infrastructure won’t go away of course. In 2025, AWS, Azure, and GCP will continue to support and sell all the “Primitive” services which developers are familiar with today :

Compute instances (EC20), Storage(S3), and Message buffers (SQS). so on, these are all powerful tools, and most importantly to developers, provide a nearly common API with familiar constructs.

Bu t there are huge downsides to providing “Dumb infrastructure” if you are a cloud provider Common APIs mean a race to the bottom on price.

If developers only use the “core ” components of each cloud platform object storage, compute, queues, databases, serverless functions, K8s – cloud providers have to compete for head to head on features, and

the prices converge to a low-margin threshold Customers aren’t locked into a particular cloud .

The different cloud provider offers

It’s easy to hop if a different cloud provider offers discounts or if you have reliability problems.

A”Land expands ” customer acquisition strategy turns into “land and desperately try to retain”.

Only engineers and DevOps engineers, at that — can realistically use your platform.

Enterprises struggle to get onto AWS because it’s a massive engineering commitment.

By only providing “dumb pipes ” or “dumb bricks “cloud providers require your customers to hire expensive employees just to use your platform

Saas vendors are starting to capture most of the actual value of the could.

If computing migrates from an in-house on-premise HR tool onto Workday (which runs on AWS),Workday captures 95% of the value of running in the cloud.

AWS built all the nuts and bolts which made it easy to build a cloud-native Saas tool, but barely captures any of the value they’ve created.

Cloud provides and will continue to pivot into pitching value-out-of-the-box- solutions as their main offerings.

services like Big Query / Redshift–expose the power of SOL to business analysts.

Let your non-technical employees build tools on AWS, in a no-code low-code framework AWS is tired of Zapierb making all the money.

AI/ML toolkits Google cloud provider is making big Machine learning plays.

If business analysts can do machine learning directly from the GCP console, there’s no need for the intermediary startups to siphon off google’s revenue.

This trend will continue . Google, Amazon and Microsoft will emphasise the ease of building apps, storefronts and websites using in-house – tools .

Paired-down, but usable versions of current Saas tools will start appearing as cloud service .

By 2025, probably 50% of an enterprise will be directly interacting with an AWS service (vs maybe 10% who do today).

Check the blog your get more information about IP addresses and what is IP Addresses.

Leave a Reply

Your email address will not be published. Required fields are marked *