Introduction
In the course of the last ten years, the way businesses and people store, share, and process data has experienced a revolutionary change.
At the heart of this transformation are cloud technology services – an umbrella term encompassing different computing services providing many IT capacities (storage, software, etc.) as well as entire infrastructure setups, online.
Today, you don’t need to think about having a server room in your basement or a dedicated IT team standing by.
That’s what the cloud is for.
The problem is that many people find cloud technologies abstract and difficult to understand.
They have heard about it, use it daily (Google Drive, anyone?) nevertheless, not everything is clear.
What are cloud technology services? How do they work and, most importantly, what’s in it for you, a student, a small business owner, or simply a person interested in technology? This article explains in plain language the key concepts you need to understand the basics of the cloud.
You’ll learn about the different types of cloud services, the current market leaders, the security issues, the practical benefits and the most common challenges when you get started.
In the end, you’ll be able to comfortably position yourself in regard to this new phenomenon.
What Are Cloud Technology Services and What Are Their Mechanics?
Cloud technology services refer to any type of service delivered to end users over the internet instead of through dedicated, specific, dedicated on-site hardware infrastructure.
They encompass everything from online software and web applications to virtualized storage and computing power needed to perform the common computer operations.
The specific nature of cloud computing lies in the fact that it is administered remotely (and on-demand) by third-party providers.
Instead of installing software on your own hard drive or investing in your own servers, the resources are offered to you online, available when needed and scalable on demand.
Cloud based infrastructure:
The cloud relies on vast data centers located close to each other, at regular, predictable geographies.
When you use your gmail email account, for example, your request is sent to your provider’s data center, gets processed and is sent back to your mobile/desktop-computer where you see the result.
That physical data handling operation is, however, invisible and virtually instantaneous.
On-demand availability:
One of the core advantages of the cloud is its on-demand characteristic.
You don’t have to order an entire set of resources upfront and specify how many you want every month (something that would be impossible given the fluctuating demands and considerations).
That’s why the “cloud model” is fully scalable.
You can use exactly what is needed and just pay in accordance (advertisers call this approach “pay-as-you-go”). For instance, an online retailer will sometimes seize the opportunity of the holiday season and the increased demand by temporarily more its cloud capacities and using it for such a short period as to even benefit from economies of scale.
Virtualized resources:
This concept is fundamental to cloud technology.
Virtualization can be defined as the process of creating Virtual Machines (virtualized dedicated chips).
This technology allows large physical computer servers to run a multitude of virtual machines that share their computing power and other resources dynamically (meaning without suffering from degradation).
Now you understand where efficiency and economies of scale come from in cloud services.
You may also understand why whole clouds can be scalable and flexible while most physical servers can’t.
Common Types of Cloud Technology Services:
Given its multiple types, applications, and general structure, cloud technology services are defined under the umbrella of the three following categories:
Thus different types of consumer can be addressed with one type of service depending on the needs.
Infrastructure as a Service (IaaS):
This term encapsulates the offering of virtualized hardware, storage, networking capacity.
The main advantage of providing infrastructure as a complete service is that the user does not have to manage it, of course, but this arrangement offers still more flexibility, control, and financial benefits.
Amazon Web Services and Microsoft Azure are examples of big providers.
This category of services usually helps technical staff build digital infrastructure for business applications, for example, Platform as a Service (PaaS)
Going one step further, such services are pre-defined computational environments ready to build applications.
Relating to many examples such as Google App Engine, Platform as a Service solutions empower human operators by enabling them to develop and deploy code but not having to know anything about the infrastructure underneath (thus saving a lot of time and hassle).
Software as a Service (SaaS):
In everyday life, SaaS is synonymous with Google Docs, Skype, even today’s social media tools.
All such software found in the cloud opens directly from a browser or an app, so there’s nothing to install, nothing to keep up-to-date, taking the hassle away from human users.
– IaaS combines flexibility and control by giving access to a digital infrastructure
– PaaS is best suited for development teams interested building any application
– SaaS leads people to an optimized product; it is best targeted towards end users
Glossary: Between the three, management responsibility is divided differently.
The more an entity handles, the more management accountability it is normally expected to have.
The model based on responsibilities being divided differently is known as the “Service Model” (IaaS, PaaS, SaaS).
First, the “Service Model” and the “Cloud based Infrastructure” distinctions are discussed a little more in depth to better position how various services could be used.
The different types of platforms are then compared.
The variety of environments and formats seen in various cloud innovations often makes it confusing for the end user to understand what they can expect from their cloud services.
All the benefits of the cloud add up to one thing: savings. Small businesses especially benefit from this shift, since they can access enterprise-grade tools without enterprise-level budgets.
Scalability and Flexibility:
Scaling a cloud environment takes minutes, not weeks.
A growing e-commerce site can bring on extra server power during a product launch and scale back down afterwards.
That’s simply impossible with on-premises hardware.
Remote Access and Collaboration:
Cloud-based apps enable teams in different cities – or different continents – to work together in real time.
Documents, projects, and communications exist in a virtual space you can access from any device connected to the internet.
Other benefits:
– Software that is patched by the vendor
– Built-in disaster recovery options in many platforms
– Less physical real estate being used by the business
– Faster deployment of new apps and services
These points all go a long way toward explaining why people across the globe are moving more things to the cloud.
Potential Security Concerns of Cloud Computing: Is It Really a Problem?
Security is often the first thing people think of when they worry about a cloud service.
Putting your important information onto servers you don’t physically own understandably feels like a risk.
The truth is more complex.
Shared Responsibility Principles:
Most big providers use a shared responsibility model.
The vendor is responsible for creating a secure foundation – the data center hardware and software.
The user must secure their data, manage permissions, and set up the controls correctly.
Incorrect configuration on the customer’s side is, in fact, one of the top reasons for cloud security disasters.
Encryption and authentication systems:
Sensitive info stored on cloud platforms is secured by it encrypts data at rest and in process, for example.
Tools such as multi-factor authentication and role-specific permissions give customers powerful means to keep their environment safe.
Ensuring the tools are used properly is another matter entirely.
Regulatory concerns:
Deeply regulated industries like insurance or finance must adhere to specific data storage standards (HIPAA or PCI DSS, e.g.).
Most cloud vendors provide guided configurations aimed at compliance, but you still must make sure you’re meeting your industry’s requirements.
In other words: security on the cloud is not nothing, but it takes effort, knowledge, and discipline.
Leading Cloud Technology Services Providers:
Your choices are limited and clear: the market is ruled by a few large providers, each offering something unique.
Your decision will be influenced by your unique budget, technology needs, and on-premises infrastructure.
Amazon Web Services (AWS):
AWS runs the field, offering the most services of any provider – over 200. From servers to AI services to developer tools, AWS likely has an offering to fit your needs.
Good for: comprehensive choice and highly flexible existing architectures.
Microsoft Azure:
Azure is the perfect choice for companies considering a move from on-prem Windows Server and SQL Server infrastructure to the cloud. Azure hosts an unprecedented hybrid cloud environment.
Good for: hybrid solutions and firms dependent on Windows.
Google Cloud:
While Google and its affiliates such as YouTube both operate on the Google Cloud platform, their demanding infrastructure needs have made cloud big G is an early leader in data analytics and deep learning.
Google’s strong suit is data optimization.
Other notable cloud providers:
– IBM Cloud: traditionally strong in the corporate, regulated verticals
– Oracle Cloud: a favorite for database reliance
– Ali Baba Cloud: best in using Asian markets
Provider choice should be determined by your specific and current technical demands.
The Following are Actionable Ways to Ease the Transition to Cloud use:
It doesn’t have to be a rescue operation.
A logical process can help you move your work assets to a more affordable, flexible platform – whether you’re a college student with a desktop or a multinational firm with a dozen data centers.
Conduct a thorough assessment:
Begin by understanding what you have and determining what you require.
Make a list of your apps, amount of data, and other computing demands along with any compliance constraints.
You’ll then be able to avoid buying a bigger-than-needed or an incompatible solution.
Decide on an initial migration pack:
Don’t go straight for a massive overhaul.
Choose a less mission-critical workload as a test case, maybe Office mail, or something you’re developing.
This will help put your skills and understanding to the test before taking on your larger workloads.
Educate everyone involved:
Make sure your team knows how the services work, and the security basics like how to set a strong password and spot a fishy website.
Here is a simple list of initial steps:
1. Audit current infrastructure and data
2. Identify your expected computing needs
3. Pick a scalable platform according to your needs
4. Identify an initial area to move over
5. Enact basic ‘security blanket’ measures to secure the new platform
6. Regularly monitor and adjust usage and costs.
Keep a phased approach to limited initial implementations will more than likely guarantee success.
Common Pitfalls in using cloud computing services or solutions:
Perhaps due to a lack of expertise or knowledge, many cloud migrations are plagued with poor planning and simple errors.
Preventing these issues makes life much easier.
Misjudged pricing:
Cloud-based services do not always have simple prices.
Start a free tier, then realize you’re paying for data you haven’t used, or leaving excess computers running, then watching your bill skyrocket.
By monitoring your usage, you can keep the costs reasonable.
Poor access controls:
Users who are given full administrative rights make dreadful security choices.
Limit permissions to the bare minimum, and reduce your chances of leaks.
Failure to implement backup strategy:
Cloud providers and storage services are a great boon, but they are not entirely bulletproof.
Data deletion, hostile software attacks, and sins of human error are all risks which mean it’s prudent to keep your own copies.
A good tip is to create a backup, even using the same cloud platform.
Other common pitfalls are:
– Moving up to the cloud without sufficient testing in a staging environment
– Failing to appreciate the vendor lock-in costs when hand selecting a vendor
– Oversight in documenting configuration and architecture decisions
– Presumption that defaults are always secure
There’s nothing overly technical to avoid any of these mistakes, it simply comes down to methodical planning before implementation.
