Cloud Computing and SEO: Important Facts To Improve Your Business Strategy

In recent years, words like “Revolutionized” and “elevated” have become the adjectives used to characterize the internet’s influence on today’s economic environment. Businesses are scrambling to stay up with the fast evolution of internet-based technology.

The Rising Importance of Cloud Computing and SEO

Many well-known firms have struggled against shutting their doors because of this rapid change. But, as long as markets remain competitive, then every business must embrace the ongoing digital trends. It is now way cheaper to host your website on a cloud server than it was before

It surprises people to learn that cloud hosting can affect a website or company’s search engine visibility. It’s easier and faster than ever to use cloud hosting services. It is an option to consider if you want to speed up your website. A must-have for clients’ online experiences

In the algorithms of search engines such as Yahoo, Google, and Bing, customer experience is a ranking factor. Consider the effect that clouds storage and hosting services may have on your search engine rankings.

The Relationship Between Cloud Computing and SEO

Because of its many advantages, cloud computing may significantly improve a website’s SEO. Search engine optimization is one of the most crucial aspects of a website’s online success. After moving to cloud hosting, several websites have seen an increase in their search engine ranks. As a result, web pages load faster. Nowadays, we judge websites on the quality of their user experience. A high user satisfaction rating shows that visitors are more likely to have a wonderful experience (UX). For businesses, location is no longer an issue since their websites are always accessible.

For “web design Birmingham,” only Birmingham-based firms will display in the search results. There will be a decrease in the number of search results for other websites if this holds. As the distance from the bulk of customers grows, a business’s chances of survival decrease. Cloud companies, which often have servers located all over the globe, can quickly fix this problem.

EES is offering local, franchise, and technical SEO with plenty of other services, including PPC, Content and Social media marketing, Social media advertising, Web design, and development. We have become a leading digital marketing services company in Dallas because of our practical digital strategies. If the loading time exceeds five seconds, users may become impatient and abandon the website

Users may leave a website if they have difficulty navigating between pages, watching videos, or looking through a gallery. Using the cloud for safe data storage and web hosting has several benefits. Cloud hosting services significantly affect a site’s search engine optimization since they allow a page to load more quickly (SEO). A website’s location is now a factor in search engine rankings

Search engines assess a website’s quality. The speed at which a website’s pages load is a significant aspect. Having a fast-loading website will assist both your clients and your search engine optimization (SEO) strategy. Cloud service companies can ensure that their infrastructure manages enormous data flows. They’ve also developed new methods for transmitting data. Therefore, even though you may not think your website’s loading speed is critical, it should get reviewed and enhanced frequently.

Cloud Computing, SEO, and Security

There are a variety of viruses that may infect websites. For example, malware infestations may create spam, re-publish material, change content, and other similar acts. It isn’t easy to keep up with them, and many site administrators recognize that current security measures are insufficient.

The best approach to keep your data secure is to use a cloud service. Content monitoring gets used by most trustworthy websites to ensure the safety of their users’ information. To maintain their customers’ trust, they go above and beyond. When it comes to search engine optimization, cloud computing is a secure approach.

How To Safely Benefit from Cloud Computing and SEO

The most significant perk of cloud computing is it covers more innovative technologies than traditional computing methods. When using cloud computing, you may access resources, IT systems, and locations from any location.

Service providers have multiple methods for delivering high-quality maintenance and exemplary services to clients, including a variety of customization capacity and cost-saving solutions. There are several advantages to using these choices, including better search engine optimization and easier management. You can manage your website remotely using control panels and dashboards.

To design SEO methods that are unique and successful, particularly for search engine spiders, employ these tools. The facts are mind-boggling. Cloud computing allows you to aggregate all of your visitors’ and users’ behaviors, as well as blogs and information, in one place.


Websites that want to attract local customers need to use country code top-level domains and hosting locations specific to the nation they are targeting. Search engines use a website’s top-level domain (TLD), like CO.UK for the United Kingdom, to determine its location. Search engine bots use the website’s IP address to find the server that hosts it.

Using Google’s Webmasters Tool, web admins may arrange their geolocation to target a particular nation or market. According to SEO experts, cloud computing affects SEO via the hosting location function. Several servers in the cloud get used to store your personal information. A few examples of nations having cloud-hosted websites are the United States, Australia, and the United Kingdom.

Reputable sites often compete with one another. This means that to sell more, it must have the most authority possible. As cloud computing grows in popularity, predictions show that Google and other search engines will adjust their algorithms. Cloud computing causes the development of efficient SEO strategies for local search results and website optimization.

Cloud Performance Testing: A Comprehensive Understanding

Traditionally, testing was a cumbersome process as it required extensive infrastructure and massive resources. Cloud performance testing signifies testing programming applications using a cloud framework. The intention is to try programming applications for practical usage, including non-useful prerequisites, to guarantee that it functions admirably and handles universal business responsibilities.

Providing you end-to-end cloud computing consulting services where we modernize your IT infrastructure at minimal risks. By identifying under- and over-provisioned requests, we remove all idle resources and let you save money, too. We welcome you to remove performance bottlenecks with us!

Cloud computing has opened new vistas of opportunity for application testing.

What is Driving Cloud Performance Testing?

With the rise of cloud innovation, everybody is moving towards accepting a cloud-based system. It is because of the tremendous advantage that we get from distributed computing. Distributed computing has opened new vistas of chance for testing. With the emergence of cloud technology, everyone is embracing a cloud-based framework because of the enormous benefit of cloud computing.

When concocting a procedure, many variables should get considered: project conditions, business drivers, acknowledgment factors, innovation types, accessible abilities, assets, and approaches. Further, as organizations develop step by step, they become increasingly mind-boggling, making it hard for associations to keep an in-house testing office.

Advantages OF Cloud Performance Testing


The development of cloud testing is genuinely straightforward, considering the servers are accessible throughout for use. Data gets arranged with no problem.

Ongoing Testing

Testing is consistently ongoing, disposing of bugs and specific bottlenecks.

Decreases Expenses

Cloud testing permits the association to oversee its costs. Using the cloud as a stage to run tests lessens the requirement for establishment arrangement and upkeep of equipment, which diminishes the general expense.

Versatility Testing

One advantage of the cloud is that clients can get to their assets from any gadget as long as they have a quick and efficient internet connection. It implies that the equipment and programming venture is not a need, which can be critical for surveying a task’s adaptability and ideal execution.

Topographical Testing

Testing on a cloud is possible from any spot. Worldwide scaling is likewise conceivable.

Test Quality

Cloud-based testing instruments get implanted with a normalized pre-designed programming setup and foundation equipped to annihilate any product issues.

Stage and Climate Variety

Cloud-based testing furnishes an assorted climate alongside a figuring stage to deal with various customer solicitations using multiple steps.

Adjustable Testing Needs

New gadgets are rapidly entering the market as many businesses aim to go remote and do not fasten people to their work areas. They’re on their telephones and tablets, finishing everyday responsibilities, and expected to use this equipment for their positions. The cloud gives the chance to test different courses to a framework.

Different Cloud Performance Testing Types

Testing the Entire Cloud

The cloud considers its components, and the testing depends on that.

Testing Inside the Cloud

Here, testing gets completed inside the cloud by looking at every one of its interior provisions.

Testing Across Mists

Tests get completed in different mists, like private, public, and crossbreed mists, contingent upon test characterizations.

SaaS Testing the Cloud

Here, tests get performed dependent on the necessities of the cloud through capacity and non-usefulness tests.

There’s conceivably a limitless pool of assets in the cloud for registering, stockpiling, and systems administration, permitting a wide range of uses to be scaled precisely the way a business needs. Measure all these applications in the cloud. Execution is the most incredible factor,  and subjecting every one of your applications to cloud performance testing is essential. It affects your client experience.

And for enhanced execution, it is obvious to test applications for practical and non-utilitarian necessities to guarantee that everything is functioning admirably under the assigned and expected responsibility.

Cloud performance testing allows businesses to check out some features of cloud performance.

  • Speed – To set up whether the application reacts rapidly
  • Versatility – To decide the most extreme client load the application can handle
  • Strength – To check if the application is steady under fluctuating burdens

Without execution testing, most programming applications experience issues like poor running when used simultaneously by many clients. There can likewise be irregularities across various working frameworks, bringing about helpless convenience, which can rapidly interpret to convey personal time. Helpless convenience can be costly beyond doubt.


Nowadays, cloud computing has become enormously essential, and multiple enterprises are adopting the cloud-based infrastructure. Because of its flexibility, scalability, and reduced costs, it has immense value! To succeed in using cloud computing services, you must be well-aware and build a robust architecture with models and layers of secure cloud computing.

Productivity, speed, and proficiency are some critical motivations behind why organizations are using the cloud. Running execution tests is a mind-boggling task that you must conduct feasibly for different applications and ventures.

These days, distributed computing has turned into a thing of colossal significance. Most associations are leaning towards embracing the cloud-based foundation because of its adaptability, versatility, and diminished expenses. To prevail in the utilization of distributed computing, we should know and assemble solid engineering with models and layers of distributed computing.

The AWS Well-Architected Framework Checklist: 5 Key Principles for Best Performance

Aws well-architected framework checklist lets cloud engineers and architects better understand the advantages and disadvantages of their decisions while building systems on amazon web service (AWS). The framework provides constant feedback on your architectures against best practices.

What is Amazon web service (AWS)?

Amazon web service (AWS) is the world’s largest and widely adopted cloud computing platform. Amazon web service is popular because of its flexibility, as it can get customized to fit clients’ needs.

Amazon web services help its clients by lowering costs, innovate faster and become more agile. And business enterprises, large organizations, the private sector, and government agencies can all benefit from the Amazon web service.

AWS well-architected Framework Checklist

Amazon’s well-architected framework is the core or foundation upon which different software systems can get structured. Amazon’s well-architected framework checklist is also a building block of software systems. It narrates the best architectural practices, designs, and critical concepts for running scenarios on the AWS cloud.

Amazon’s well-architected framework checklist is an amalgamation of five core concepts, often regarded as the five pillars of Amazon’s well-architected framework.

These five pillars of Amazon well-architected framework:

Operational Excellence

The operational excellence pillar provides businesses with value. It gives weight to the business by providing support to the development and running of workload effectively. It also generates insights regarding the operations of the companies. It also constantly improves processes and procedures so that businesses get the best out of it.

Operational excellence has the following best practice area in the cloud:


This includes understanding your workload and expected outputs or behaviors. It will be much easier to design and improve the system in this way.


The process involves measuring your success, done by the achievements of business and customer outcomes. It includes defining metrics and then analyzing them to determine if you are heading in the right direction.


To sustain operational excellence, you must continue to learn, improve, and grow. Regularly look for margins of betterment. Always push towards achieving more and improving the systems.

There are five design principles in the cloud for operational excellence:

  • Operate code
  • Make frequent, small, reversible changes
  • Refine operations procedures frequently
  • Anticipate failure
  • Learn from all operational failures


The Security pillar is part of Amazon’s well-architected framework to protect your data, systems, and assets. The security pillar guards information using risk assessment and mitigation. It helps provide business value by securing them. There are six best practice areas for security in the cloud:

Identity and Access Management

An integral component of security in the cloud system, identity and access management only allow permitted users to use the resource and only intendedly.


Detective controls alarm potential security threat, risk, or even a security attack.

Infrastructure Protection

It compromises control methodologies. The control methodologies encompass defense-in-depth and regulatory obligations. These are very important to maintain successful operations in the cloud.

Data Protection

Data protection is the complete implementation of strategies to protect your data in every manner. It includes data classification, protection of your data at rest and in transition, recovery, encryption, and protection against data theft and data loss.

Incident Response

Despite implementing and integration every security and data protection scheme, you are not entirely risk-free. There is always a chance where the security and integrity of your system get compromised. In such scenarios, incident response ensures that your team can still operate efficiently.

The five design principles of security in aws are:

  • Build a robust identity foundation and define access rules
  • Create traceability
  • Automate security
  • Protect data at rest and in transit
  • Prepare for security events


The pillar of reliability comprises practices that allow the system to continue its work without disruption and discontinuations. Meaning that the reliability pillar ensures that the system can perform its functions correctly when needed. As the name suggests, this pillar makes the system upon which users can depend. There are four best practice areas for reliability in AWS.


Foundational requirements are generic, which means they extend out of a single project. And it must meet needs that influence reliability before initializing the architecture of any system.

Workload Architecture

Workload architecture defines your system. Workload architecture directly affects workload behavior on all the five pillars of Amazon’s well-architected framework.

Change Management

A business must accommodate any kind of change in its environment for reliable operating of the system.

Failure Management

Every system can face errors and failures at some point. A reliable system ensures that it is well aware of failures or mistakes and provides automatic help to ensure maximum availability.

The five design principles of reliability in aws are:

  • Automatically recover from failure
  • Test recovery procedure
  • Scale horizontally to increase aggregate workload availability
  • Stop guessing capacity
  • Manage change in automation

Performance Efficiency

The performance efficiency pillar ensures that the system’s efficiency gets upheld even if the technology develops or the demand changes. The performance efficiency pillar ensures the utilization of the computing resources to meet the requirements. There are four best practice areas for performance efficiency in the cloud.


This includes selecting the best solutions for the system, often offering multiple solutions.


Technology is constantly developing at a rapid pace. Machine learning and artificial intelligence (AI) have elevated business to new heights. It must continuously review the workload to ensure the best performance of the system.


Constant monitoring is essential to spot out irregularities and disruptions in the system. It is mandatory to monitor and find out issues before the customers get to know about them. Constant monitoring also increases the workload performance.


An optimal approach to performance efficiency is to use tradeoffs in the architecture. Consistency, durability, and space can get traded with time or latency to increase performance.

The five design principles for AWS performance efficiency are:

  • Democratize advance technologies
  • Go global in minutes
  • Use serverless architectures
  • Experiment more often
  • Consider mechanical sympathy

Cost Optimization

As the name suggests, the cost optimization pillar ensures the system runs to get value at the lowest cost. It aims at minimizing the cost yet maintaining a high-performance system.

There are five best practice areas for cost optimization in the cloud.

Practice Cloud Financial Management

AWS brings a new cloud-based system. In this system, innovation is fast because of shortened approval and infrastructure deployment cycles. The new system encourages the implementation of new financial strategies to lower costs.

Expenditure and User Awareness

There is a massive downfall in the expenditure required to deploy a system on AWS. AWS has eliminated the manual procedure like defining hardware specifications, managing purchase orders, etc. It has saved a lot of time and saved a lot of money.

Cost-Effective Resources

AWS provides cost-effective resource allocation from Amazon EC2 and other services in a way that suits your architectural demands.

Manage Demand and Supply Resources

AWS allows you to allocate demands required by the workload automatically. This ensures unnecessary and wasteful resources. In AWS, you only pay for the services you need, which lowers down the cost.

Optimize Over Time

It is the best strategy to review your architectural decisions. AWS regularly releases additional features and services. Ensure you monitor your system regularly and change if it becomes outdated or a new service suits your architectural demands better.

The five design principles for cloud cost optimization include:

  • Implement cloud financial management
  • Measure overall efficiency
  • Analyze and attribute expenditure
  • Adopt a consumption model
  • Stop spending money on undifferentiated heavy lifting

Top 10 Best Cloud Gaming Services of 2022

Cloud gaming has certainly gained significant traction recently. The top cloud gaming services run on remote servers where data gets communicated to servers using the client’s software. Users play quality games using mobile phones, tablets, or PCs. You don’t need to own expensive equipment.

A stable internet connection makes the games smoother and more fun. Gamers have reported issues of lag if the internet connection is poor. Cloud gaming has gained popularity, targeted the masses, and has projections of growing to new heights in the future.

The Best Cloud Gaming Services

Cloud gaming services are available on multiple platforms. Gamers have a lot of choices regarding which platform they prefer. This article will highlight the top Cloud gaming platforms for 2022 to help you choose the exemplary service for you.

GeForce Now

It is among the topmost online cloud gaming services. GeForce Now offers exceptional and realistic graphics. GeForce Now engages its users by providing them with over 1000 games. And offers 80 of the most popular free games on its platform, so there isn’t any need to make purchases. The games provided are engaging and fun. New games get added to the platform every Thursday, making the game collection vast and full of variety.

To play games on GeForce Now, download the application, create an account and link it to the library. Some of the most popular games available on GeForce Now include Fortnite, Dauntless, Mordhau, Warframe, Ride3, and much more.

The minimum requirement for MacOS is 10.10. The minimum requirement for windows is 64-bit window and version 7. The minimum requirement for android is 2 GB ram. It also requires an internet speed of 15 Mbps for 720p at 60 FPS and 25 Mbps for 1080p for 60 FPS.

Parsec Cloud Gaming Service

Parsec is also among the best cloud gaming service platforms. Parsec Cloud Gaming Service connects you and your friends with games you love. You can play with your friend from anywhere. You need to share the game link with your friend to play together.

Parsec Cloud Gaming offers 60 FPS UHD, which means you can play your favorite games on any device without latency or lag. Minimum windows requirements are OS windows 8.1, CPU core 2 Duo, GPU intel HD 4200/ NVIDIA GTX 650/ AMD Radeon HD 7750.

NVIDIA Game Stream

NVIDIA is highly rated because it provides a smooth gaming experience with high resolution. NVIDIA offers its users gaming experiences at 60 FPS and with 4k HDR graphics. NVIDIA stands apart from its competitors as it is entirely free

NVIDIA game stream is a pleasure for gamers. The Moonlight application service is a recommendation to play on the NVIDIA game stream. You can also use NVIDIA shield on Windows, Mac, Android, IOS, Linux, and chrome. Users must also have an internet strength of a 5 Mbps minimum.


You can play your favorite games online with vortex cloud gaming solutions. There is no need to purchase expensive hardware. You can plan games on your desktop or your phone with a monthly subscription starting from $9.99. Vortex has a collection of most popular games like Fortnite, Dota 2, Grand theft auto 5, Apex legends, The Witcher Wild Hunt, and many more.

Vortex provides HD graphics with 60 FPS. Another exciting feature of the vortex is that its servers automatically update the games, so you don’t need to update your games manually. Your games are ready to play and continually updated. Vortex also saves your games so that you don’t need to start from the beginning every time.


Paperspace lets you create a free account but charges up to $0.45 per hour for streaming. You need to make your free account and build your rig to start playing your favorite games on this platform. It is fast and versatile.

There are over 300,000 gamers on this platform. Paperspace requires very low specifications to stream your games smoothly. Paperspace is compatible with modern Windows, Mac, ChromeOS, and Linux devices.

Shadow Cloud Gaming Service

Shadow cloud gaming service is a top-tier cloud gaming platform. You can easily use your smartphone or MacBook because it is a high-performance cloud gaming service. But, since the service is not available worldwide, A VPN service helps in regions where the Shadow cloud gaming service is unavailable.

An internet speed of 15 Mbps is necessary. The best thing about the Shadow cloud gaming service is that you can play from any device. You only need the app.

Google Stadia

Anyone having google chrome can use google stadia cloud gaming services and enjoy it. You must subscribe to Google stadia pro to have complete access to all games. With Google stadia pro, you don’t need to download and update games.

You can buy games at a discounted rate. And you can claim games every month to add to your collection—the minimum internet requirement is10 Mbps.

PlayStation Now

PlayStation Now cloud gaming services offer a vast collection of amazing games. It provides an incredible cloud gaming experience. You can join using a free 7-day trial, after which you can choose your plan.

Aforementioned, the collection of games on PlayStation Now is unparalleled, with blockbuster hits to thriller and family games. It has everything to make your gaming experience unforgettable. The DualShock 4 controllers add much more fun and excitement to the gamers.

Playkey Cloud Gaming Service

Playkey has partnered with many gaming giants like Ubisoft, Namco, and epic games to provide top-rated, high-end games to its users. Playkey requires users to have high-speed broadband of about 50 Mbps because they stream all the video games in real-time. Still, you can play the game even with low-spec PCs or laptops.

There are free games available on Playkey, but a subscription allows you to play on low-spec devices. There are no hardware requirements, and you can don’t wait for games to download or update. You can play them instantly.


Games are compatible with windows, mac, Linux, android, ios, Amazon (Fire TV stick), and google TV (Chromecast). New games get included on the platform every week. You can play on even a 6 Mbps internet connection using your favorite devices.

Blacknut also has the parental control feature, which allows you to control which games your children play. It has a $15.99 per month subscription fee, which gives users access to online saves, and you can play instantly with no purchasing of games and no need to install games. Also, you have the option to cancel the subscription at any time.

A Quick Guide To Grasping Cloud Infrastructure as a Service In 2022

What Is Infrastructure as a Service?

Infrastructure-as-a-Service is a type of cloud computing service that provides essential computing, networking, and storage capabilities to meet clients’ demands, over the internet, on a pay-as-you-go basis. IaaS enables you to grow and reduce resources as needed; avoiding up-front capital expenditures or owning unnecessary infrastructure. It offers the lowest-level management of resources in the cloud services category.

This article will highlight everything you need to know to understand Infrastructure as a service cloud platform, and the benefits it can bring to your business: 

The Architecture of Infrastructure as a Service Platforms

IaaS solutions are very scalable and customizable to meet your business needs and finances. It is appropriate for exploratory and temporary tasks. It comprises real and virtualized resources that offer customers the fundamental building blocks necessary to execute cloud applications and loads:

  • Physical data centers: the IaaS providers maintain big data centers throughout the world, often equipped with the physical computers necessary to power the different abstract layers on top.
  • IaaS is usually considered a virtualized computer resource. Providers maintain hyper-servers, and end-users use the required amount of computation and memory via virtual “instances”. For various sorts of workload, most suppliers offer both CPUs and GPUs.
  • Cloud computing also comes with accompanying services such as Auto Scaling and Load Balancing, which show the scale and performance features that make the cloud the foremost requirement.
  • Software-defined networking that provides programmable extensions, often APIs, to traditional networking gear such as routers and switches.

How Do IaaS Platforms Work for your Business?

A third-party cloud computing provider hosts your software, data, hardware, and other infrastructure components, of course, for a small price. IaaS providers also host user applications and manage duties like backups, system maintenance, and resilience schemes.

It is helpful to host websites in the cloud because it mitigates physical server vulnerabilities. In the cloud, it is also easier to deal with unexpected demands and scalability. A network of interconnected virtual servers can provide enhanced cloud hosting capabilities, IT infrastructure at the company level, or the ability to integrate into a public or private cloud.

How Does Iaas Differ from Other Service Models?

With IaaS, your business is significantly more accountable than with SaaS or PaaS for management. You may create your infrastructure according to your company’s needs for increased control, safety, and flexibility. Instead of buying a set platform, for example, PaaS.

IaaS can be an excellent solution for companies that want or require hardware security and accessibility.

Advantages of Infrastructure as a Service


Service infrastructure It is quite scalable. This means that resources are accessible when necessary while using an IaaS service. There are no waste or capacity expansion delays.

No Expense of Hardware

The hardware needed to operate the IaaS platform gets maintained by your IAAS cloud providers. This saves your firm time and money in the long term.

Pay as You are Using

As noted earlier, the service gets provided in proportion to what you consume. You can expand with a single touch of a button if you require extra resources. Similarly, you may do this just as quickly if you need to limit your computational power.

Access from Anywhere

An internet connection is all you need to access the service, and it is accessible from any remote location, with the internet.

Improved Safety

More server safety at fully protected data centers: public clouds or private clouds externally hosted get maintained under tight security by service providers.

Fast Performance

Because of the large number of redundancy setups and the hardware resources available, broader services remain unaffected if a server or network switch fails.

AWS Machine Learning: How Ai can Better Your Amazon Experience in 2022

What is AWS Machine Learning?

Machine Learning is the study of computer algorithms, which automatically improves user experience and usage of information. You can view it as part of AI.

Besides providing the most comprehensive and profound range of cloud computing architecture, Amazon Web Services delivers machine learning facilities to all developers, data science experts, and professionals.

AWS helps with the acceleration of its machine learning journey by over 100,000 clients.

How Does AWS Machine Learning Work?

AWS Machine Learning enables developers to uncover patterns in the data of end-users using algorithms, build mathematical equations on such patterns, and design and execute the predictive analysis.

The solution helps businesses increase their apps’ profitability and efficiency. It may apply instances to detect bogus online payment charges, foresee products that attract a particular end-user, or estimate the demand for a specific product over a period.

How is AWS Machine Learning being used?

  • A developer develops machine learning models for applications that meet specific requirements and eliminates developers’ need to build or manage their prediction code.
  • Amazon uses an “industry-standard logistic regression method” to predict the likelihood of an end-user interacting with an app based on historical data.
  • A developer can get predictions by utilizing a bulk request batch API or an actual recording API. The service immediately handles both forms of API calls and can hold up to five requests concurrently.
  • Using advance ML techniques, service quality can be enhanced. And AIOps can help in predicting incidents before they happen.
  • Amazon Machine Learning uses the Amazon Superior Storage Service (S3), Redshift, and the Relational Database services to read data.
  • The Amazon AWS Machine Learning APIs and the AWS Management Console display data. You can also export data from other AWS products in CSV files stored in the Amazon S3 buckets that are accessed with Amazon Machine Learning.
  • A developing company cannot import or export Amazon Machine Learning models in or out.

Security of AWS Machine Learning

Models and other system artifacts for Amazon machine learning remain secured both during running and at rest. A secure socket layer (SSL) connection helps with service applications. A developer may additionally apply Amazon Identity and Access Management Policies to secure apps in addition.

AWS Infrastructure for Machine Learning

AWS has the most incredible collection of computer power, storage, and high-speed networking resources for every machine learning project or application. It’s tailored to suit one’s learning needs, as part of the infrastructure. Opt from various machine learning frameworks that fit your teams and even host your models on a hardware platform.

AWS will cover everything you need. Machine learning incorporates various types of use cases, such as fraud detection, object detection, speech helpers. Prices, training, and deployment are expensive and time-consuming, which stay constant for machine learning. This is where AWS enters, and you can use advanced technologies and processes by eliminating those barriers to access to machine learning and using it as a pay-as-you-go service.

AWS AI Services

They provide Ai services based on technology used to drive Amazon’s own company. These services include application and process information from the box. You can design artificial intelligence-powered applications without acquiring machine skills.

Amazon Kendra

Help people rapidly identify stuff on Amazon Kendra’s websites and apps. This intelligent search solution recreates company searches to make it easier for employees and consumers to access the material. No more jumbled data and the answers to your inquiries are quickly available. You need no servers or complicated learning models for this service.

Amazon Personalize

You can also develop applications using the same technology as Amazon, which can personalize with no machine learning knowledge. You may integrate several personalized direct marketing experiences and product recommendations. This advances regulations, as it can train and then implement unique machine-learning models for a wide variety of personalized suggestions.

Accessing Amazon Machine Learning

You can access Amazon Machine Learning by using any of the following methods:


See the Getting Set Up with AWS Command-Line Interface in the AWS Command Line Interface User Guide for details on setting up and configuring the AWS CLI.

Amazon Machine Learning Console

By login into the AWS management console and open the Amazon ML console, you may access the Amazon ML console

Amazon Web Services SDKs

The AWS SDK makes AWS Services easier by offering a range of consistent libraries, popular to Software developers. It supports consideration of the API life-cycle, such as authentication administration, retrieval, data collection, and serialization.

Amazon Machine Learning API

For additional information on the Amazon ML API, read Amazon ML API Reference or see Amazon ML API Reference.

Limitations of Cloud Computing and its 5 Disadvantages

Limitations of Cloud Computing

The limitations of Cloud Computing can be quite daunting. Especially for businesses with budgets hanging below what’s needed to set up the right IT infrastructure and resources for effective Cloud computing.

Let’s quickly discuss some prominent cloud computing limitations:

Cascading Effect

If one business accesses the resources of cloud computing and if there is any type of problem in their data center, then there are big issues because all virtual machines get affected and there might not be a backup of the data.

Network Connection

The first point considers before choosing cloud computing, the client must have an efficient and reliable network connection because if there is any problem with the network connection to accessing the cloud is also becomes a big problem, performing your cloud computing totally depends on the network connectivity at client-side the speed of download speed is slower as compared with the local server.

Control of Data Security

The third limitation is control of data security. You have limited control over the data security in a public cloud. There are more chances of phishing attacks and suspicious activity on data.

Additional Costs

Cloud computing offers various affordable cost benefits to access the data. It provides various additional services, but at an extra charge.

Disadvantages of Cloud Computing


The biggest disadvantage of cloud computing is downtime because most of the business totally depends on the internet to access the data or cloud storage and your business gets affected negatively in a downtime situation. Downtime basically interrupts the workflow of business, your organization will not run smoothly.

Technical Problem

Using cloud computing you have to depend on customer care 24/7 because if you face some technical problem that you cannot manage, then you have to contact customer care. But they may not be available to help you 24/7.

Data Mobility

Data mobility enables us to share the data between various cloud services. If you decide, one day, to end your cloud computing subscription, there may still be local storage from where your data can get used anytime.

Risk of Data Confidentiality

There are also some issues regarding data confidentiality or risk on your data. Thus the cloud protection must secure confidentiality.

Depends on the Internet Connection

Cloud computing fully depends on the internet connection. Whenever you have a disturbance in the network connection, you cannot access the cloud. It is an obstacle to access the machine remotely.

Most developing countries do not have a good internet connection.


We know the importance of cloud computing in today’s era and with this deeper understanding of cloud computing limitations and disadvantages, you will know what to look for when choosing a cloud service provider.

Before selecting any cloud computing service provider, focus on these important points.

Cloud security – A Detailed guide

What is Cloud Security?

When talking about Cloud Security or Cloud Computing Security, the first thing you should know is “it’s a cyber-security discipline,” comprising a detailed and practicable set of policies that enlist all the essential technologies, advanced controls, and IT services protecting your personal and professional data and applications saved in cloud platforms.

It protects your information against threats, either internal or external.

Effective Cloud Security demands the hard work and efforts of every other person present in the company along with cloud providers and the customers that are using them.

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Primarily, cloud security comprises the below-mentioned categories:

  • Data security
  • IAM (Identity and access management)
  • Governance (guidelines available on threat prevention, recognition, and mitigation)
  • Data retention and business continuity planning
  • Legal compliance

What Exactly Does Cloud Security Protect?

  • Physical equipment required in networking, such as routers and cabling
  • Operating systems
  • Data servers
  • Computing software used as a core of online networking
  • Hard drives
  • Computer virtualization frameworks, including both host and guest machines
  • Runtime environments or running program
  • Data (stored or modified)
  • Applications
  • E-mails
  • End-user hardware such as PCs, smartphones, Internet of Things (IoT) devices, modems.

Cloud Computing Categories

  1. Public cloud services (run by the public cloud providers)
  2. Private cloud services (run by the public cloud providers/third party)
  3. Private cloud services (run by the internal team/staff)
  4. Hybrid cloud services (combined with private and public cloud computing configurations)

Why is Cloud Security Important?

  • With the help of cloud security, you can centralize the company’s security infrastructure for enhanced protection
  • Time to say goodbye to hardware
  • Minimized capital expenditure helping you manage finances
  • Limits the staff load and administrative overheads
  • No need for manual security configurations
  • Cloud computing services offer the ultimate dependability and reliability
  • It is scalable as you are welcome to add additional features and offering access to as many users as you want without breaching your security
  • It offers all-time visibility because everything integrates well. We can see security and other services talking to each other.


Potential Cloud Security Challenges

  • The clouds are accessible by the team and devices outside the corporate network that are not supervised by IT compromising the all-time and extensive monitoring. This loophole can lead to cyber-attacks or information leaks.
  • The chief risk of using the cloud is that there is no perimeter as all cloud environments seem exceedingly connected and account hijacks can get you into serious problems
  • An employee with access to the cloud can go rogue exposing or exploiting the organization
  • In a third-party cloud service provider’s situation, IT teams get extremely limited access and control over data and applications by default. Accessibility to fundamental physical infrastructure seems negligible.
  • A Cloud-native breach appears pretty common, which is a sequence of cyber-attacks strategized by an antagonist based on the company’s errors and vulnerabilities. They simply transfer the data to their equipment without using malware to make this operation go undetected.
  • The cloud providers can easily bypass your security controls letting them approach, access, and monitor your private details
  • Human errors can cause misconfiguration of user access controls. Read more

Cloud Security Solutions

  • The best approach is “encryption” imposed on communications and sensitive data.
  • End-to-end encryption of the data uploaded on the cloud is a must
  • Always change the default settings to not give the hacker a front-door access
  • Always close the cloud storage bucket or else someone can open the URLs easily
  • Make your primary passwords strong by mixing letters and figures with special characters. Go random!
  • Choose a reliable password manager
  • Don’t forget to back up your data that you have been regularly uploading on your clouds. It will help you restore or recover your data. You can keep the backup on your personal computer, external hard drive, or even a separate cloud.
  • You must keep changing the cloud’s permissions after a certain period. It seems beneficial in preventing access to all the company’s data by any employee or device.
  • Keep your ‘access all areas’ password only to yourself. Consider it your safe passage that must not permit usage to anyone, anytime.

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Top Cloud Security Companies

  • Qualys
  • Check Point CloudGuard
  • CloudPassage Halo
  • Lacework
  • Netskope
  • RedLock by Palo Alto Networks
  • Symantec Cloud Workload Protection
  • Threat Stack Cloud Security platform
  • Trend Micro Hybrid Cloud Security Solution

Why You Should Choose Google Cloud Computing Services vs AWS

What is Google Cloud?

Google Cloud is essentially Google’s method of providing computing services for developing, deploying, and running applications over the internet. Its cloud infrastructure initially serves as a host for applications such as Google Workplace (G Suite/ Google Apps).

Google Cloud is soaring through the infrastructure as a service ranks, especially with its investments in service, analytics capabilities, and the many acquisitions helping build its portfolio. This article is going to highlight Google Cloud, and contrast its advantages vs its largest competitor: Amazon web services.

The Simplest Definition of Cloud Computing

Simply put, cloud computing comprises all computing services; applications, storage, and processing power that get provided remotely using the internet on a pay-as-you-go basis.

How Does Google Cloud Work?

Google cloud computing services simply facilitate the building and maintaining of original applications that you can deploy through the Web using google’s data center facilities.

Google cloud computing services help you avoid all the costs of owning and maintaining your own data centers and computing infrastructure by giving you the flexibility of accessing everything from applications to storage through the cloud platform.

You get significant benefits from using Google Cloud Services because it helps you avoid paying upfront costs and the complication of maintaining your computing infrastructure.

You pay for what you use, and only when you use it.

Extremely friendly for first-time users

You can agree that digesting the use of cloud services for the first time can be pretty overwhelming for a newbie. Cloud platforms are still new and foreign to people accustomed to physically interacting with servers they use.


Google Cloud Services come with step-by-step instructions on how to go about running many of the everyday tasks, including how to set up a Linux-based virtual machine.

Google Cloud teaches you how to set up your computer from thin air.

Google Cloud Services VS. Amazon Web Services (AWS)

Contrasting Google Cloud Computing Services and Amazon Web Services is amazing, especially with the fact that they both based their establishments on different business models:

Amazon focuses on AWS (including its ads business) to optimize its e-commerce profit margins. Google Cloud instead takes its renowned ad business and is leveraging it to penetrate the Cloud.

Keep in mind,

Virtual Machines are quite an ancient deployment model for the world of software. Yet, none of these cloud solutions providers can release the throttle on providing this service and expect to get acknowledged as a cloud service “go-to-guy.” Amazon web services currently lead the race as bigger hosts for virtual machines. Still, Google Cloud Services offers some beautiful alternatives, including custom instances and pricing models that provide you with a real business advantage.

Consider this too,

Amazon waited until the last moment to develop a Kubernetes engine of its own. They were also reluctant to deploy and implement a model that cuts into their mainstream business. Meanwhile, Google has been enjoying its victory lap as the developer and influencer of Kubernetes engines.

A powerful argument in favor of Google Cloud Services is that Amazon’s Kubernetes system solely focuses on Amazon. Google Cloud Services, however, avoid vendor lock-ins and provide enterprise solutions to address varying customer requirements.

Some cloud computing enthusiasts argue that Amazon’s enormous size and the large variety of service alternatives can develop a disadvantage. Mainly because determining a starting point for AWS customers remains a challenge.

Google, however, leverages this to focus on delivering viable cloud services that customers demand. As opposed to beta tests and experiments that risk the company’s posture if they were to fail.

Google Cloud Computing Services: Competitive Advantages

As you have probably heard, Google is the originator of Kubernetes, a powerful transcriber for applications and deployment automation incorporated by many elements.

Google was early and agile in approaching the avenue for automating cloud deployment of multifaceted apps. A significant move made to fuel Google Cloud Services is its partnership with Kubo. This renowned automation platform helps developers leverage the Cloud to deploy applications from development platforms with minimal effort.

Google has a robust cloud services strategy that focuses on enabling cost competitiveness in particular customer service cases. Instead of fighting to be the low-cost leader.

For instance,

Google offers life-cycle management regarding object data storage. A feature that enables the platform to delete any objects that remain dormant for at least 30 days.

What’s the Cost of Google Cloud Services Vs. Amazon Web Services?

Google offers its general Cloud users extremely flexible pricing, calculated using formulas that get updated every minute. However, the calculator requires that the resources you plan to consume must remain within a narrow approximate range.

Google’s Kubernetes will need you to pre-determine the storage space required to run your application. You will also need to determine which data center availability zone will be most effective for your business’ load balancing.

On the Other Hand,

Amazon AWS has a set standard for its pricing model regarding virtual machine instances. Amazon’s virtual machine instances have structures like real servers, with a base tier capacity for file storage with a fixed RAM capacity and fixed virtual CPUs.

Google Cloud Computing Services also have Virtual Machine Instances structured similarly.

Why Should you pick Google Cloud over Amazon?

Google Cloud Services applies discounts regarding your usage trends. By doing this, Google significantly reduces your average Cloud Service expenditures over Amazon Web Services. Google’s Computing Engines allows you to choose virtual machine instances that can get pre-empted whenever their usage becomes dormant.

Google consistently recalculates your billings each second, with a minimum time interval of one minute, with usage rounded up to the nearest minute.

Instead of getting a pricing plan where you pay for both the instance and resources used, Google Cloud Platform lets you pay only your instance’s availability. Then, as if that’s not enough, you can receive a discount of even 70 percent when your resources do not get used up.

It doesn’t end there

You get to custom your usage and build a virtual machine that fits your usage or business needs. Note that uploading custom disk images to virtual machine instances may incur a surcharge.

Google permits “sustained-usage” discounts if your workload usage remains consistent over 25 percent of the time during a month. For example, you can receive a discount reaching 30 percent if your workload usage runs every minute of your billing period.

Google may also give you a discount of up to 57 percent if you make an up-front commitment between 1 to 3 years sustained Cloud Service resource subscription.

If you are an enterprise customer planning to break the limits of data usage, you must sign up for Google’s Storage Growth Plan. This plan will make you entitled to massive discounts, especially when making a 12-month commitment to a minimum price.

But take note that this is for massive data consumers, not small businesses.

Big Data, Cloud Computing, and the Internet of Things: 3 Important World-Changing Technologies

How do Big Data, Cloud Computing, and the Internet of Things Work?

People’s insatiable appetite for digital technological advancements has driven a prominent revolutionary demand to improve data flow and connectivity between humans and all interrelated computing devices.

Big Data, IoT, and Cloud Computing are working in harmony to enable improved analytics and insight-driven decision-making for many businesses. Developing and processing data is necessary to improve efficiency in system processes and effective communication in every organization.

This article explains how these three world-changing technologies are working together as separate entities equipping businesses with the data-driven insight they need to stay ahead of the competition. Not forgetting the key benefits that you can reap from this relationship.

The Internet of Things and The Importance of its Relationship

Business trends of current market leaders highlight the importance of businesses exploiting the benefits provided by the Internet of Things and its computing capacity to track customer needs and spearhead business innovation insight.

People usually keep multiple devices connected to the internet.

The ongoing digital revolution continues to highlight the need for significant innovations to improve connectivity, data collection, and analysis; with precise collection and sharing of insights between different systems and IoT devices connected through the internet.

Robust connectivity is necessary to help streamline people’s social activities and improving daily workflow.

What is Big Data?

Big data is the excessive collection of structured and unstructured data that cannot get processed effectively using traditional digital and non-digital methods. It empowers businesses with large amounts of radical knowledge regarding their target market and customers.

The data provides knowledgeable insights that improved business decisions and performance.

Big Data has four key features known as the 4 V’s of Big Data:

  1. The V more commonly associated with big data is Volume. The quantities of data collected by organizations may grow to incomprehensible proportions over time as new business opportunities arise. Big Data comes to the rescue and makes the storage and processing of large volumes of data smoother.
  2. Velocity–The varying volumes of data must first get collected and stored accordingly before being made available for retrieving. The Velocity feature of Big Data focuses on tracking the speed of how data gets collected and transferred without interruptions. Some types of data have limited time to use their value, and velocity ensures that businesses are up to speed with processing data quickly and faster than before. For example, retail IoT applications enable businesses to improve sales by immediately identifying out-of-stock products and ensuring they are readily available for consumers.
  3.  Big Data comes in a wide Variety, thanks to multitudes of data sources: encrypted packets, decrypted packets, photos, videos, and sensor data, to name a few. Data is not always uniform when it enters the database; it’s collected in structured or unstructured form.
  4. Veracity–Big Data IoT devices collect a variety of large quantities of data at high speeds. The data must present relevance and test for accuracy before it’s usable.
    Data veracity is the feature that determines the precision and accountability of data. It uses statistics, machine learning, and algorithms to analyze the data’s biases and anomalies and establish trust levels.

Here is a clear, step-by-step blueprint to help you understand and build a big data strategy that will be effective for your business. There are many real-world examples from a cross-section review of many businesses.

What is Cloud Computing?

Cloud computing is a service that uses IoT-connected devices to store, process, and distribute data to provide access to flexible innovation capacity. Businesses strive to reduce operational costs and build economies of scale.

Cloud services eliminate the hustle of purchasing equipment and software needed to set up and run a data center. Making large amounts of data available from anywhere upon demand, giving businesses a lot of capacity for flexibility.

What is the Cloud?

The Cloud is the data platform ensuring that data and resources get shared and are always accessible. Storage, processing, and analytics are achievable without physical infrastructure. Also, cloud services propel higher levels of service speed, security, and flexibility to scale.

Cloud services provided include Google Cloud, Microsoft Azure, and Amazon Web Services.

The Harmony between Big Data, Cloud Computing, and IoT

Big Data plays the role of an analytics platform for data collected by IoT-connected devices. Cloud Computing, using a Cloud platform, provides the network’s storage location. When these three technologies get used together, many exponential growth opportunities emerge for businesses. Take a quick look at this practical example of its application in agriculture.

Big Data and Cloud Computing

Big Data involves collecting vast amounts of information. Cloud Computing uses the software as a service model to provide the storage location where the data gets accessed for processing. These two technologies are key in providing the infrastructure that enables real-time data processing. The key benefit of using the Cloud to store big data is quick and cost-efficient scalability.

On a pay-as-you-go basis, of course…

Combining these two technologies improves cost-efficiency and can quickly transform your business into a market leader. The data collected and provided highlights and generates workable insight and builds a substantial competitive advantage.

The Internet of Things and Big Data. How it Works

The Internet of Things establishes the precise source of information whenever a business needs to extract data for analysis and examination purposes. It enhances the capacity to process enormous quantities of data in real-time. Big Data is invaluable in IoT-data extraction.

Together, they highlight extremely lucrative business correlations and trends within collected sets of data. IoT and Big Data provide actionable insight and predictive analytics to improve forecasting. Providing your business with such data computing power provides precise and progressive insight to improve business decision-making within record time.

Internet of Things and Cloud Computing. How it works

IoT and Cloud Computing often end up in the same sentence whenever people discuss technical services. They propel each other’s existence and make significant contributions to the IoT ecosystem. Their crucial differences make them effective technical solutions, individually and as a whole.

The Cloud provides a centralized storage server that holds computer resources and enables quick access. The key role of Cloud services in the Internet of Things is to collaborate storage of data for connected IoT devices. Computing data using these modern technologies will provide your businesses with a cost-effective passage for transferring large data packages through the internet.

Incorporating Big Data helps complete the chain. Together, Big Data, IoT, and Cloud Computing propel cost-efficient automation of business systems. They also provide a competitive edge over real-time data monitoring and management.

Benefits of Using Big Data, IoT, and Cloud

Scalable data collection, storage, real-time research and business development, analysis, and delivery are critical for smart cities and smart businesses. Data is a critical differentiator of products and services. Listed below are some of the many benefits of using Big Data, IoT, and Cloud Services in your business:

Increased Capacity and Scalability
The Cloud allows easy expansion of Big Data, storage, and data analytics. Server capacity can increase with more applications or hardware resources as needed. Depending on your business needs regarding Big Data, Storage, and Analytics, you can scale Cloud-based solutions vertically and horizontally.

Scalable Infrastructure Capacity
You must always plan for the best-case scenario of forecasts and expectations within your desired business data models. This way, the risks of failing to keep up with customer expectations get reduced throughout the business. Invest in a scalable IoT platform because physical infrastructure is unnecessary for you to run Big Data, the Internet of Things.

They collaborate to provide storage for large amounts of data and deliver scalable processing and real-time data analysis. Your business costs get minimized significantly. You can focus on improving analytical capacity and service provision instead of server equipment maintenance.

Increased Operational Efficiency
The Cloud provides smooth access and passage to the enormous amount of data consistently generated by IoT and Big Data.

Universal Access to Distributed Apps
Cloud storage and IoT collaboration enable access to Big Data from any location and continue to conduct business using IoT-connected devices.

Advanced Analytical Capabilities and Asset Monitoring
Connecting too many devices to the internet can put pressure on capacity and Internet connection. Big Data and Cloud computing are driving intelligent IoT devices by improving efficiency with provisions for data exchange by sending data to servers for processing instead of central servers. You can access data from anywhere within your network for fast predictions, better service, and response to downtime.

Economies of Scale
Longevity is a necessity and business requirement for IoT. The ROI must help justify any IoT investment, as it upholds the usable lifetime of devices. Every business looks to better the ROI and reduce the total cost of ownership. The Cloud provides in-built management tools, processing capacity, and applications to help manage your resources. Merging Big Data, IoT, and the Cloud helps preserve business value using efficient storage and data management.

How Can this trio Help Improve your Business?

Employing Big Data, The Cloud, and the Internet of Things can improve your business success efforts. It ensures real-time communication and accuracy in the transference of data between devices and people, whilst providing safe heaven for IoT-Big Data processing and analytics.

Your business can benefit immensely by taking advantage of Cloud storage and combining it with IoT and Big Data. Doing this will enhance scalability, reliability and make your business solutions more agile. The interdependent relationship between Big Data, IoT, and the Cloud provides uninterrupted access to data and actionable insights for better performance and analysis.

We Can Help!

Would you like to discover more about how to leverage IoT, Cloud Computing, and Big Data to modernize and improve your business? Contact our seasoned IoT professionals at EES Corporation for a quick but in-depth chat to discuss the best IoT services to make your service invaluable.

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