Security Issues In Cloud Computing and Its Solution

Common Security Issues in Cloud Computing

Security issues in cloud computing are almost unavoidable in an organization where any computer connects with other computers through a network. The entire network is prone to vulnerabilities, because even a single user’s problem may affect the entire network. Major concerns arise because in cloud computing everything depends on data security.

Data security issues present costly business vulnerabilities and after the adoption of cloud computing, you need to ensure cloud security to protect your business data and maintain smooth operation. EES’s cyber security consulting services helps identify attacks faster and limit their destructive impacts. Whereas security solutions provide realistic and tactical approaches to meet security project goals more quickly.

What are Cloud Security and Its Importance?

Securing the data on the cloud from the attacker, crackers, or hackers is an important aspect. Cloud data security is important when it comes to owning an online business.

To secure our data, business owners either need to hire a cybersecurity firm or to have in-house data security resources. Having an in-house team to secure data remains recommended. Outsourcing your cybersecurity may sometimes be a privacy issue.

The Major security issues in cloud computing.

The Major Security Issues in Cloud Computing

Misconfiguration

The main leading cause of cloud data breaches is the misconfiguration of cloud security. Configuration issues in the cloud environment may cause the system’s vulnerability for outside cyber-attacks. Therefore, this becomes necessary to have a solid cloud environment to avoid any susceptibility to intrusion. They designed the cloud infrastructure to be easily accessible.

This promotes the business of the organization. An organization must ensure that the data is only accessible by allowed users. This issue can arise because of the lack of visibility control on the infrastructure. Misconfiguration of the cloud environment is the main security issue. Cloud service providers (CSP) need to configure the environment correctly to avoid deployment issues.

Malicious Insiders

So it can be more difficult to identify suspicious activity on the computer system. It’s related to malicious insiders. Every organization must have proper security controls to identify malicious insider activity before it causes any big impact on the business operation.

Every organization has its own set of rules to secure the infrastructure. Cloud-based deployment outside the network perimeter is directly accessible from the public Internet.

Unauthorized Access

Infrastructure is an asset that both employees and customers can access from any other network. And poor security makes it an effortless task for hackers to gain unauthorized access to your organization’s cloud-based resources. Network attackers can easily access improperly set or configured security credentials.

Denial of Service Attacks (DOS)

Unlike the many cyber attacks, the denial of services is different. Many organizations use cloud services, and we know that the cloud is important for your business to perform its operational activities.

Your business either uses the cloud to store critical data or to run applications.

Denial of Services (Dos) attacks can create a big impact on your business operations. A DoS attack aims to make your legit website unavailable when it receives too much traffic. This buffers the server for a short time, for the users.

The attack uses a smokescreen for different malicious activities and slows down the security appliances such as the web application.

How to Prevent Cloud Security Threats?

  • Provide awareness to employees about the security practices.
  • You should secure a backup plan for your data.
  • Make sure your data is secure and cannot get accessed by any other public network.
  • You need to be sure to store the encrypted key separately from the data.
  • Every day; you must evaluate the weakness and the security of your cloud.

Security Concerns for Cloud-Based Services

The cloud is open for business storage, access, flexibility, and to increase productivity. Here is the big security concern of cloud-based services:

  1. Data Privacy/Confidentiality
  2. Accidental Exposure of Credentials
  3. Data Loss/Leakage
  4. Incident Response
  5. Legal and Regulatory Compliance
  6. Data Sovereignty/Residence/Control

Important Datacenter Network Topology Types Leading Business in 2022

What is Data Center Network topology?

A Datacenter network topology is the combination of Data Center resources including computing power, storage, and networks that make up your data communication network. Datacenter networks are one way you can easily connect to thousands of servers, to manage the demands of your cloud computing network.

Before we get into it, let’s keep in mind what a datacenter is…

What is a Data Center?

A data center is a place or building set aside to manage the storage of computing systems and associated or interconnected components and devices; such as telecommunication devices, routers, and servers, and storage systems. All data on the internet gets stored on a server and remains accessible round the clock.

Types of Data Centers

The Data centers may differ in size; it can be one small server room or a group of servers in a larger warehouse.

The data center provides storage space to maintain various computing infrastructures and to connect with the cloud computing infrastructure. Remember that maintaining a datacenter consumes lots of energy. But it allows you to store your data and access it 24/7.

Note these four types of data centers:

Enterprise Data Centers

These types get built for a special purpose that makes them very useful in internal purposes of a single organization.

Colocation Data Centers

A co-location datacenter is a management space, within a larger data center, you rent for personal or business use and is in a remote location. The rental space provides the various resources of the data center that are available for the people.

Managed Service Data Centers

Management of this data center gets carried out by a third-party services provider and it offers different aspects of data storage, computing, and many other data management and computing services.

Cloud Data Centers

The cloud data center offers various types of services with the help of the third-party services provider and data and applications get hosted in cloud service platforms such as Microsoft Azure, Amazon Web Services, and Google Cloud Platform.

What is Network Topology?

A Datacenter Network Topology is simply the channels used to connect various nodes, servers, and computing devices to create physical and wireless network connections. It is the communication methods of the devices and telecommunication networks between various computing devices.

Types of Data Center Network Topology

There are multiple data center network topology types available;

Three-tier Data Center Topology

The Three-tier data center network topology uses the multi-rooted tree-based network topology, which involves the combination of three layers namely; access aggregate layer, core layers, and network switches.

Aggregate layer switches get interconnected to various access layer switches. And the core layer is used to create a connection for the data center to the Internet.

It’s efficient for enterprise-level network devices and it is very costly and power-consuming.

Fat tree Data Center Network

The Fat tree data center network is used to solve a basic problem with the three-tier data center network architecture. It uses the network switches-based architecture by using the Clos topology.

The fat-tree network topology also operates network switches to access the various layers, like aggregate and core layers. It uses more network switches rather than the three-tier data center network.

DCell

The DCell is a hybrid Datacenter Network. Here, one server gets connected directly to the other different servers within the same data center. The server in the DCell Network topology uses multiple Network interface cards.

This topology use servers and switches connected within the cell.

Core Components of a Datacenter Network Topology

The core components of the data center: 

  • Routers
  • Switches
  • Firewalls
  • Storage
  • Servers.
  • Network infrastructure
  • Computing resources

Conclusion

In this article, we have covered the important data center network topology types and the concept of the data center. I hope you have found this article helpful. Don’t forget to leave a comment below.

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

Downtime

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.

Conclusion

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 Storage Benefits: Helping You Increase Productivity in 2022

Cloud storage is an off-site model or storage space where you can store data. Digital data gets stored on the cloud using the internet. These storage services get managed and maintained by third-party service provider companies. They manage and regularly backup your data.

These services are very much secure, fast, and easy to use from anywhere.

You do not need physical storage servers on multiple locations managed by the hosting company. You can store data on a safe remote database. You can easily access our data safely and securely from anywhere on the go, anytime.

Let’s dig deeper:

How Does Cloud Storage Work?

When you need cloud service, you purchase it from third-party service providers. Based on the purchased services plan, these vendors manage the capacity and security to ensure maximum uptime and high quality. Service should be accessible from anywhere worldwide through traditional protocols or via API.

It works as a network of connected data servers to share files across various devices and upload files to servers and access the data via the website, desktop app, or mobile app. There are various cloud storage benefits that you can use for commercial and personal purposes. First, It’s available in different forms, including private storage, public storage, and hybrid storage.

You do not need any own storage device to keep files and apps. There is no risk of losing data as there are regular backup options. You can easily share the contents via links or API with anyone in your team or organization. You need to pay only for how much capacity you used to store data. Cost can get minimized whenever you want by changing your plan or membership.

Cloud storage allows you to store, access, backup any files over the internet. You can protect and recover data easily over the internet. You can upload any file and access it from various locations on multiple devices.

Leveraging this will also reduce the resources as per business requirements.

Cloud Storage Benefits

Low Total Cost of Ownership

One of the top benefits is the total cost of ownership. The cost of ownership of cloud storage is low. You are saving time for your own staff to manage things. You are also just paying for the resource being used. You can opt-out of the service whenever you want to bring down the cost, and opt-in again whenever needed. Here we do not need any hardware to purchase for the storage of the data or files.

Quick Deployment

The time needed to deploy the data over cloud storage is very little. This facilitates you to concentrate more on solving the complex application problem instead of focusing on managing the storage systems.

Information Management

Management of information becomes quite easy with the help of cloud computing as you can sync all your devices to have the same information from the cloud. You can lock down your data with the help of cloud storage life-cycle management policies.

Off-site Management

We do not need to deploy additional staff to take care of store data. The cloud service provider takes care of it.

Quick Configuration

It is quite easy to configure and access cloud storage services. So time to set up things is very competitive.

Cons of Cloud Storage

The cons of Cloud storage are:-

Security

Cloud services present data vulnerability risk, especially that data gets managed, transferred, and accessed through the internet.

Administrative Control

Cloud service administrators can view or access the data without your permission, so it is a big drawback of cloud storage.

Cloud Storage Service Providers

1.PCloud

2.Sync

3.IDrive

4.Icedrive

5.Zoolz

Conclusion

It is now clear that Cloud Storage helps you to store and access your data and resources globally from anywhere. Cloud storage makes life easier, by enabling quick and easy access to data even on mobile devices.

You can leave us a comment below to add some more benefits if you know any.

35+ Cloud Computing Statistics, Facts & Trends for 2022

The way we live and conduct business with cloud computing has fundamentally altered. This collection of the most pertinent data, facts, and trends in cloud computing shows the extent and potential of this sector in the future.

The cloud. What was formerly a fashionable and sounding phrase for science fiction has become an unavoidable element of our daily life. Even if we grasp what the cloud does, it is a far more complex issue than it operates and evolves. This cloud-based statistics list provides you with a sense of how meaningful it is.

The cloud is one of the essential internet technologies utilized worldwide.

In terms of cloud usage, infrastructure, investment, and research, the cloud computing industry has had a steady upward path since the COVID-19 crisis.

We have compiled a list of 26 cloud computing statistics that are most interested, important, and informative, showing how large the cloud is and how it is expected to develop.

Of course, it is not feasible to accurately forecast what the future of cloud computing will look like – COVID-19 has demonstrated that it may alter everything, but it has emerged and is necessary to analyze some trends surrounding cloud technologies and cloud infrastructure. Even if we ignore this, current cloud computing statistics spoke volumes about the status and direction of cloud computing.

Is Cloud Computing Really Better for Business?

What we call the “cloud” exists as an entire server network. The servers contain data that may be accessed via an internet link. That is the core of all cloud programming, and you could say that the internet is functioning in its entirety. Because the Internet connection is all you need, cloud computing is ideal for commercial and personal usage.

Top Cloud Computing Statistics

Now, to explain why you initially opened this post – these incredible cloud computing data. We will look to the most exciting and essential information about gaming in the business, including cloud adoption rates and security issues, corporate infrastructure, cloud computing expenditure, and more.

General Cloud Statistics

  • According to Cybersecurity ventures, by 2025, the data will be kept in the cloud for over 100 zettabytes. A zettabyte is one billion terabytes to put this into perspective (or a trillion gigabytes).
  • In the same year, about 200 zettabytes of data are stored worldwide, meaning that almost 50% of the data are kept in the cloud. In comparison, just 25% of all data were saved in 2015 in this manner.
  • Cisco says that In Cloud data centers, 94% of workloads will be processed in 2021. That is not all – 75% of the entire burden for SaaS procedures. This shows that non-cloud data centers are now being removed and will be overtaken by cloud data centers in the near future.
  • According to Wikipedia, the Citadel is the largest ever built data center in Tahoe Reno, Nevada. Its largest installation now covers an area of 1.3 million square meters, with eight different data center constructions and server space of approximately 7.2 million square meters after completion of the campus.

What Are the Most Used Cloud Storage Services?

According to GoodFirms research, Usage & Trends of Personal Cloud Storage is as follows:

  • Google Drive is the world’s most widely utilized cloud storage service, with an astounding 94.44 percent.
  • Next is Dropbox, the finest collaborative cloud storage, with an amazing 66.2%
  • OneDrive (39.35%), and iCloud (38.89 percent).
  • MEGA (5.09%), box (4.17%) and pCloud (1.39%) are also frequently utilized.

Usage & Trends of Personal Cloud Storage

How Many Users Do the Largest Cloud Storage Services Have?

  • According to Axios, Google Drive achieved one trillion uses in 2018, with a total of 2 billion users of the Google Workspace club platform by 2020. The second most popular cloud storage service Dropbox has many user accounts reported by more than 700 million.

Cloud Computing Market Statistics

  • According to markets and markets, the overall market value was 4 billion dollars by 2020. With a CAGR of 17.5 percent, the market has been estimated to amount to 832.1 billion dollars by 2025.
  • Gartner Predicts, Worldwide end-user spending on public cloud services is forecast to grow 23.1% in 2021 to total $332.3 billion, up from $270 billion in 2020.
  • According to canalys, Amazon Web Services is a leading cloud service globally with 31 percent of the overall market share and by far one of the most popular and used.
  • According to macro trends, Salesforce is one of the top CRMs and has more than $200 billion of market capitalization. Nevertheless, the video conference service Zoom is the firm that probably benefited the most from the COVID-19 epidemic. The value is projected at more than 90 billion dollars, up from around 20 billion dollars in 2019.
  • According to report linked, North America is the world leader in cloud markets by region, with 61% of the overall market by 2020. The size of Western Europe, which holds 21% of the entire market, is three times that of the second-largest market. Africa is the smallest region in the market.

global cloud market by region

  • According to canalys, China’s overall cloud infrastructure expenditure in 2019, the largest market in the Asia-Pacific region, increased to $19 trillion in 2020, representing a 66-per-cent increase.
  • Grand view research stated that Cloud gaming works similarly to streaming services; you may stream it to your display instead of installing a video game on your computer. The worldwide cloud game market was 470 million dollars in 2020. With a forecast CAGR of 48.2 percent, revenues of $7.24 billion are projected for 2027.

How Companies Are Using the Cloud

  • According to fortune business insights, the COVID-19 epidemic has significantly altered many parts of our life. A significant part of the workforce must go online faced with lockouts, social alienation, and similar tactics. About 34% said they prefer to work on the cloud and seek new jobs if asked to come back to their office.

Cloud and employees

  • According to Gartner, The aggregate cloud services expenditure for end users amounted to $270 billion in 2020. It is anticipated that in 2021 it will be up by 23.1% to 332.3 billion dollars. By 2022 this amount is projected to increase to 397.5 billion dollars.
  • According to panda security, 48% of companies opting to keep their classified, primary data in the cloud, including encrypted and “normal” data, seem to have tremendous confidence in cloud computing.
  • According to Flexera, a multi-cloud approach focuses on using several cloud providers such as Google Cloud or AWS. This allows the company to switch to a functioning backup for disaster recovery if one of the services is not available for some reason. As a result, 92% of companies already have a multi-cloud strategy.
  • According to Flexera, Enterprises confront many difficulties, but security (83 percent), cloud expenditure (82 percent), and governance are three of the most common issues (79 percent). Business owners regret that around 30% of their cloud spending is spent on trash. However, with technologies like the outstanding EFSS, Egnyte, cloud computing simplifies data governance considerably.
  • According to Flexera, This is the sixth consecutive year where the optimization of cloud cost is the highest priority, with 61% of companies aiming to minimize their cloud expenses by 2021. Indeed, 76 percent assess their success in the cloud under cloud efforts by cost efficiency and savings.
  • According to Flexera, according to European companies, the most critical cloud project migrates more workloads onto the cloud (70 percent). Then the present cloud utilization is then optimized to reduce expenses (59 percent) and advance the first cloud strategy (50 percent).
  • Flexera, according to European companies, the most critical cloud project migrates more workloads onto the cloud (70 percent). Then the present cloud utilization is then optimized to reduce expenses (59 percent) and advance the first cloud strategy (50 percent).

EU top cloud initiatives

  • According to canalys Cloud infrastructure, expenditures rose to $41.8 billion globally in the first quarter of 2021. This growth amounted to 35% of annual growth and 5% of quarter-on-quarter increase compared to the same time in 2020. For this purpose, almost $11 billion more was spent than in the first quarter of 2020 and roughly $2 billion more.
  • According to markets and markets, In 2021, AI will spend 58.3 billion dollars, and by 2026 it will reach $309.6 billion. The cornerstone of many cloud technologies nowadays is machine learning that many companies and systems utilize to automate different operations. This is merely artificial intelligence, and it is not surprising that corporations seek ways of investing in and expanding this area.
  • markets and markets, In 2021, AI will spend 58.3 billion dollars, and by 2026 it will reach $309.6 billion. The cornerstone of many cloud technologies nowadays is machine learning that many companies and systems utilize to automate different operations. This is merely artificial intelligence, and it is not surprising that corporations seek ways of investing in and expanding this area.

Cloud Security Statistics

  • According to the checkpoint, It is hardly surprising that 75% of businesses are highly concerned with cloud safety problems. Of those who were highly worried, 33% were very concerned about 42%, while just 25% were not concerned about somewhat.
  • According to checkpoint Cybersecurity experts say that the main difficulties in terms of cloud security are cloud misconfiguration (68%), illegal access (58%); unsecured API (52%), accounts, services, or traffic hijacking (50%), and the share of external data (43 percent).
  • According to the checkpoint, Since Cloud Security is so popular, it is not surprising that organizations are searching for safe cloud service. More than half (52 percent) of companies choose cloud solutions with their native safety features.

Human Error Accounts for the Majority of Cloud Data Breaches

According to tessian, When we think of cyber assaults, we frequently see hackers exploiting the integrated cloud IT infrastructure flaws. The fact, however, is considerably worse and comes mainly from staff errors. Human error is responsible for cloud failures, not cloud providers, in 88 percent of cases. With 34 percent of males, phishing schemes are twice as frequent as women (17 percent).

The main message is that while cloud safety is vital for every organization, it is essential to have adequate staff training and stringent security rules.

Recent Trends in Cloud Computing

  • According to fortune business insights, The world’s cloud storage industry amounted to over $30 billion in 2017, and in 2020 it continued to grow to over $61 trillion. In 2021, this market is anticipated to expand to about $76 billion. It reached about $390 billion in balloons by 2028, with a CAGR of 26.2% between 2021 and 2028. Although the epidemic may largely contribute to this phenomenal rise, this sector was well ascending well before 2020.
  • A more comprehensive production of enormous data sets, which necessitated more file storage, is the main force behind this growth. Thus, limitless cloud storage services are the ideal answer to this problem.

cloud computing cloud storage market

The advent of the Remote Desktop Software Market

  • We have previously said that remote work became quite influential in 2020, and it appears that it is here to stay. Working from the comfort of your home is simpler than ever, using technologies like Slack (and its numerous options). Of course, remote software has been followed.
  • According to fortune business insights, In 2019, the software market for remote desktops was 1,53 billion dollars, and it is predicted that the total value of CAGR 15,1 percent will reach $4,69 billion by 2027. This software category includes remote desktop applications like TeamViewer and Chrome Remote Desk, which enable you to connect to and work via distant internet connections to a remote computer.
  • A symbiotic connection exists between cloud and artificial intelligence (AI). Whereas AI enables cloud computing – data management, insight, and workflow optimization – the effects and breadth of IA are enhanced by cloud computing. It is projected that AI’s worldwide market value by 2025 would reach over 89 billion dollars per year, which means that businesses not taking up this trend will be behind in competitiveness.
  • Cloud services democratize AI so that companies struggling with the high entrance hurdle can utilize it. Investing in AI traditionally involves a high level of technical expertise, computer power, and huge cash. However, organizations may use and benefit from the technology with AI supplied via cloud services without making huge upstream investments.
  • Combining AI and cloud services allows companies to make the most of both applications. The cloud provides the expensive on-site gear and software with an economical option, while continual data backup and recovery are alternatives to typical settings in a virtual environment. At the same time, AI enables the cloud to manage data and acquire insight into information disseminated throughout the system.

Public Cloud vs Private Cloud – A Comprehensive Comparison

Contrasting the Public cloud vs private cloud is important to understand the exact difference between both cloud services and how they can benefit you and your business. They are both different options offered to your business by the cloud service provider. 

As you already know, cloud computing is rapidly becoming popular because of its on-demand availability. Sharing resources like computing power and storage of data is now very easy. You can use all those resources without worrying about managing them.

The facilitation of managing your data like this comes in public and private. Now let’s dig further and discuss both:

Public Cloud

In this model, cloud computing services get distributed using the internet. This is the most used service in cloud computing because it offers a range of options to provide computer resources and solutions to meet the requirements of small-scale businesses to large-scale businesses.

Public cloud service gets delivered to clients by a cloud service provider and gets managed by the service providers. It includes three service models: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).

Now, let’s understand the need for these services

Need for Public Cloud Services

We need a public cloud for sharing resources and applications through the internet. A common example is communication services for a set of users. Some other examples may include:

  • Miscellaneous services and online apps for daily use.
  • Requirements of additional resources because of variable needs.
  • Development of software and create test environments.

Advantages of Public Cloud Services

The many advantages of using public cloud services, also the reason many people prefer them to private cloud services include:

  • Technically Agile: High scalability Public Cloud services are highly scalable, offer great flexibility, and meet required variable workload needs.
  • No Maintenance: Maintenance and infrastructure does not need tremendous investment but its all managed by the service provider.
  • Time and Efforts Savings: All the efforts of managing cloud service are taken care of by the provider, so, organizations can focus more on their primary service domain.
  • Economical: Affordable pricing options based on SLA offerings.
  • Cost Effectiveness: Organisations opting for public cloud services can follow lean growth strategies and invest more in innovative solutions.

Limitations of Using Public Cloud Services

There are also some disadvantages of using the public cloud services:

  • Cost Effectiveness: Public cloud TCO can vary significantly in cost if usage of the resources be comes required on a big scale.
  • Security Concerns: Public cloud offers shared resources to multiple organizations, and because of this, there might be some data privacy concerns.
  • Least control of Resources: because you have lesser control over the resources being used by the organization, you may get inconvenienced in decision making.

What is the Private Cloud?

A cloud solution that is limited to a single organization is a private cloud. It’s dedicated to serving only one organization. In this type of cloud computing, you do not need to share cloud resources with any other organization.

In a private cloud, the resources of a data center can get operated by a third party, or it could also be on-premises itself. In short, your resources get distributed privately using a secure line and are isolated to avoid sharing with other clients.

Public Cloud VS Private Cloud

Private Cloud Services

  • Cloud service are limited to one organization
  • Resources are Not shared between multiple clients
  • The application and data of the client remain isolated
  • Public cloud services are like renting an entire house
  • It’s costlier than the public cloud services.
  • Less usage of resources comparatively.
  • Most of the time, service providers take care of the maintenance of a cloud service themselves. But, in a special case, requirements then organizations may also have to look into the service themselves.

Public Cloud Services

  • Cloud services are distributed to multiple organizations.
  • Resources get shared between many clients.
  • Even when data and applications get hidden from each other, they still get saved on the same storage.
  • Public cloud services are like renting a flat or apartment in a house.
  • It’s less costly because of shared resources.
  • Comparatively more efficient usage of resources.
  • The service provider always takes care of maintenance.

Advantages of Using a Private Cloud

  • Security: Because these services remain dedicated to you, they are more secure when compared to public cloud services.
  • Regulation Compliant: If an organization uses a public cloud, internal teams don’t have to manage servers—as they do for on-premises data centers or internal private clouds.
  • Customizable: Organisations can get their private cloud services customized as per their requirements
  • High Scalability: Private cloud services are highly scalable.
  • Efficient: Private cloud is more efficient than public cloud services because of fewer loads on it.

Disadvantages of Using a Private Cloud

  • Very Expensive: The TCO of private cloud services is extremely high and not easily affordable for small-scale businesses.
  • Minimal Accessibility: On mobile devices, it is hard to access and manage private cloud services.
  • Limiting Infrastructure: Infrastructure in private cloud services is limited as compared to public cloud services.

The image below comprehensively displays the classification of public cloud and private cloud.

public cloud

Conclusion

After understanding all the factors discussed above, you’ll find that both the public and private cloud services have their own benefits and drawbacks. Things vary along with the requirement of any organization. So we should consider selection of these services after comprehensively analyzing various factors, including the budget, work-load, requirements, and features being offered by the service providers to get a cost-effective solution.

This video can also help you understand the nature of cloud computing variants better. 

Energy Efficiency in Data Center Networking: 8 Helpful Solutions

Data Center Networking and Energy Efficiency

High energy consumption by data centers has raised many concerns about energy efficiency in data center networking. More especially with the increase of internet usage, video streaming, use of artificial intelligence, and machine learning.

Carbon emissions have also increased. So, saving energy in data centers has become very crucial to reduce the carbon footprint of data centers across the globe.

This article highlights the best ways to optimize energy efficiency in data center networking practices, and helpful ways to reduce energy consumption and CO2 emission in data centers and server rooms.

Ways to The Increase Energy Efficiency in Data Center Networking

Thankfully, there are some ways that can save our world from CO2 emissions and help reduce energy consumption in a datacenter network. The points below briefly discuss those ways:

Use of Server Virtualization to Reduce Energy Efficiency

Until the last few years, the average data center was using several physical servers for different applications including Oracle, SQL, Applications, Email, File, Print, etc. Now, server virtualization technology allows data centers to virtualize a single physical server into several computable machines with the help of software implementation.

Using one physical machine for many applications or workloads. This technology significantly decreases power consumption by cutting down the number of physical servers required for specific operations.

Decommissioning Unused Servers

After implementing virtualization technology, a lot of servers may remain idle. Decommissioning these unused servers will significantly increase energy efficiency in your data center network.

But first, identification of unused servers needs to be done, prior to being decommissioned. Use DCIM (Data Center Infrastructure Management) to see which machines are having low CPU utilization, and decommissioning those will help increase the energy efficiency of the data center.

Consolidating Servers

Consolidating lightly used servers and combining all the applications onto one server significantly reduces energy consumption over the long term. When you use a single server for a single workload, 90% of the servers in a data center run at 10% utilization only.

So, consolidating your many tasks into a single server will help turn off the remaining servers and increase the energy efficiency of the data center.

Effectively Managing Data Storage Space

Data storage devices take up a lot of space and energy in a data center. Managing them properly can help increase efficiency.

Use features like data compression, keeping a single copy of multiple duplicate files, use of snapshots, use of high-level RAIDs with lesser discs, storing old data to low-performance drives.

You can also use lower-speed drives, using MAID (Massive Array of Idle Disks), and using solid-state drives over hard disks can significantly reduce energy consumption.

Using More Energy-Efficient Machines

Day by day, many electronic devices are becoming more energy-efficient. So is the case of server equipment such as machines, storage drives, UPSs, PDUs.

Replacing old machines with modern energy-efficient machines on a large scale will cut energy consumption to a great extent. And save costs over the long run.

Using Hot Aisle/Cold Aisle Layout

The servers consume cold air via the front and exhaust hot air via the backside of the servers. This makes physical cooling of the data center a top cost.

The hot aisle/cold aisle solution proposes to reduce energy consumption and management costs involved in server temperature management. Hot aisle/cold aisle refers to a data center layout design that manages air-flow, lowering the energy, cooling, and management cost of data centers.

Using Variable Speed Fan Drives

A simple 10% reduction of your server fan’s speed can also cut your energy consumption by approx. 25%. Using variable speed fan drives to replace the constant speed fans will help increase energy efficiency within your data center network.

Using Outside Air Instead Of HVAC

Using air from the environment to ventilate the data center, especially during winter or nighttime, instead of HVAC reduces the cooling cost up to 60% and more. Installing a cooling system will help compress and cool down the air within your data center. Although, running cooling compressors 24/7 is energy-consuming.

Hence, using environmental ventilation during winter and nighttime will help reduce energy cost significantly.

Visual Data Modeling in Datacenter Networking: Important Features You Must Know In 2022

Datacenter Networking and Visual Data Modeling

Visual data modeling usually helps administrators enhance network monitoring efficiency by providing the information needed for the determination in real-time and even identifies whether or not the network is running optimally. Administrators can effectively identify the deficiencies and the network efficiently with the help of tools like networking software.

What is Visual Data Modeling?

Visual data modeling, or visual modeling, is a graphical representation of data that you have analyzed. You can either convert all your data into a visual presentation or use parts of it to make a visual model.

The process of visual data modeling is quite complex at first glance, but it becomes straightforward once you get a grip.

Why is it used? Continue reading..,

What is The Role of Visual Data Modeling in Data Center?

Visual Data Modeling conveys only the necessities of a system from a separate view and hiding all the unessential details. It works on a higher level of abstraction, which helps beginners to build visually advanced mobile applications and websites. It also helps to understand complex systems easily and search, differentiate design choices at a low cost.

Benefits of Visual Data Modeling

There are many advantages of Visual Modeling in datacenter networking:

Transparent Perception of Your Data Network

By simply improving transparency in your network monitoring process, you, especially if you’re the administrator, can easily have a clear visualized picture of all the connected devices in the network; go through how the data is revolving among them, and then identify and rectify the issues that may interrupt smooth performance and lead to a failure.

Quick Identification of Security Threats

The primary aim of network monitoring is to help the organization understand the normal performance of the network. When some unusual activities occur, like an incomprehensible growth in the network traffic level, it becomes easy for the administrators to identify the issue and regulate it whether it is a security threat.

Better Use of IT Resources

The usage of hardware and software tools in the network monitoring system reduces the work of the IT teams. This leaves them with enough time to attend to the critical projects of your organization.

Building Flexible-Timeless Infrastructure

The network monitoring system usually provides reports on performing all network components over a specific period.

Network Monitoring software tracks the overall performance of a computer network. The solutions provided are used to detect the problems faced in a network by analyzing the live performance against an expected performance baseline. There are some tools available that help the IT staff have access to the center diagram of intelligent data, which is an important component in the IT department.

ManageEngine OpManager

The ManageEngine Op manager is a solution for network management that comprises both network and server monitoring, plus analysis of network capacity, and management of configuration and faults.

The OpManager allows the user to observe the availability, traffic, packet loss, performance metrics, and time of responding to different devices like servers, routers, switches, and virtual machines. The OpManager has several visualization tools that help the employees in network monitoring.

Visual Data Modeling of the Datacenter

The management of data center infrastructure becomes difficult if one does not visualize the components present in it. It’s very important to have a plain knowledge of every aspect. Then, you can easily determine the performance at the rack and floor levels of the data center with the help of different data center visual data modeling tools.

3D Datacenter Floor

There are many features of OpManger’s data center networking tools, and datacenter visual data modeling is one of the most prominent. It enhances your capacity to create a 3D blueprint of the data center, with the racks. The 3D view is dynamic, and it shows the health status of devices in each rack.

Rack Builder

The network visualization capabilities of the OpManger enable creating virtual racks with the devices that are populated on it. The rack shows the live health status of the devices that are scaled on it. The faults or issues in the performance are being highlighted with the help of color codes.

By clicking on the faulty devices, it will drill it down to the device’s snapshot page to analyze the device’s performance and then identify the fault. You can create a virtual rack simply by adding the devices to the OpManager. After this, the devices on the rack can get copied and pasted and the sizes changeable whenever required.

Let’s Sum It Up!!

These are the important aspects that you should know about visual data modeling. The entire process might seem tough, but the result will be helpful even in future projects. Proper visualization of your data analysis can significantly help with the project’s execution. It encourages organization in the order of running your project and documenting everything.

Last, visual data modeling even helps you track mistakes with precision. It even helps you to adjust the changing requirements and erase the mistakes without affecting the entire project. 

Datacenter Vulnerabilities: 7 Life-Changing Attacks You Must Know

Securing the data center from cyber-attacks is quite difficult today. The number of attacks directed at data centers of different businesses and enterprises across the globe has increased significantly over the past years. In this article, we are going to talk about the various vulnerabilities and attacks that can affect your data center, and how to prevent them.

let’s get into it

Vulnerabilities And Common Attacks in Datacenter

DDoS Attacks

DDoS attacks, or Distributed Denial of Service attacks, have been used by cyber attackers and hackers for decades. A DDoS attack occurs when an enormous amount of traffic gets sent to a targeted server intending to gobble up all the bandwidth and disrupt server access for its rightful users.

In the past decade, the world has seen some major DDoS attacks on different small and big-sized companies, including; Google, Amazon Web Services, OVH, GitHub. According to Cisco’s analysis, over 10 million DDoS attacks got made in 2020 alone. The same analysis forecasted a significant rise in DDoS cyber-attacks in the future. Cisco’s forecast entails the number of DDoS attacks will have a 100% increase to about 15.4 million by 2023.

It remains a tremendous concern for all the data center owners.

Several poorly secured IoT-connected devices are getting produced every day, and it’s quite easy for hackers to compromise data centers and exploit network servers using unsecured IoT devices. If the right security measures don’t get implemented, things can go from good to OMG! within seconds.

Ransomware Attacks

Remember how many people wept when the “WannaCry” ransomware attack took place? Almost 200,000 computers across hundreds of countries got infected with WannaCry.

A ransomware attack occurs when malicious software gets installed on your computer, which after getting installed, gains access to all the files and folders on your computer, and uses encryption to seize your data. Recent years have highlighted a rise in ransomware attacks on enterprise infrastructure.

Ransomware can spread through email attachments, pop-ups, messages, etc

After successfully taking over your system, the ransomware demands a ransom in cryptocurrency (to maintain the anonymity of the hacker) as an exchange for the decryption key.

External Access

Hackers can also leverage Cloud Access Security Brokers or third-party DNS servers to get access to a data center. Hence, overlooking the external services being used within your data center may bring you serious nightmares. Consider installing a third-party remote access system like NordVPN, which is a leading and experienced VPN provider.

Although they experienced quite a breach back in 2018. Dyn, a very popular and trusted DNS service provider also became a victim of an attack that halted their service alongside the service of many big enterprises like PayPal, CNN, Comcast, Boston Globe, etc.

Application Attacks

Application attacks happen when an application that is being used for providing the service of a data center, such as the control panel or customer dashboard, gets infected or compromised. This can cause service unavailability and severe loss of reputation for the data center provider.

Hackers consider this as a great way to attack data centers because it requires very little resources in contrast to a DDoS cyber-attack.

Internal Attacks

The biggest security threat can come from an attack by a data center’s own employees. As the employees have access to the servers of a data center, they can abuse their ability to inflict damage. These attacks are the most dangerous, but most data center providers remain unprepared for these kinds of attacks.

Phishing Attacks

Phishing attacks get activated by sending a message, email, or website that pretends to be authentic to a person with credentials. If the attacker becomes successful to pretend like an authentic source, the person may release the credential by himself thinking that the message is from a trusted source. And once the attacker gets the credential, he can easily access the target server and do whatever he wants.

Using Vulnerable Software

Software and operating systems are key components that help data centers to run smoothly. If any of this software contains a vulnerability, hackers and attackers will exploit the weakness and find their way into your data center. It’s extremely important to always apply updates and patch the software used to operate your data center.

It’s crucial to always protect your digital assets and content in this ever-growing digital landscape. Cybersecurity must be a top priority for you if you significantly depend on the Internet to run your business and conduct personal activities online. Ensure to protect every data center network surface and respond to network glitches quickly and confidently.

You must leverage actionable insights and scalable data center solutions to secure your employees’ devices, IoT network connections, data infrastructure, and all business proprietary data.

7 Important Datacenter Networking Challenges You Would Loved to Know in 2022

Challenges in Datacenter Networking

Data Centre networking is the incorporation of computing services including switches, routers, load balancing, and analytics software to enable the collection and distribution of data.

Modern data center networking challenges present an expensive impact that may extend across the connected variety of data resources, including virtual machines, containers, and bare-metal applications. This may negatively affect the unified monitoring and granular security controls.

Top Datacenter Networking Challenges

Some challenges in data center networking include:

Data Security

One consistent source of datacenter networking challenges is security. A data breach could cost millions of dollars in lost intellectual property, private data leakage, and stolen personal information. Target, for example, lost $162 million because of a data breach. All data center administrators must consider risk management and protect both stored and distributed data across the network. Indeed, according to a survey conducted by the Information Management Society, 32 percent of CIOs ranked security as their top concern.

Power Management

While server consolidation and virtualization reduce the amount of hardware in the data center, they do not always lower energy consumption. Despite being significantly more efficient, blade servers consume four to five times the energy of previous data storage technologies.

Power and cooling requirements are becoming more important as equipment requirements change.

Capacity Planning

Maintaining optimum performance requires operating the data center at maximum capacity. Still, IT managers often leave a margin for error, a capacity protection gap, to ensure that activities do not suffer interruptions. Over-provisioning is costly and a waste of computing space, computer processing power, and electricity.

Datacenter administrators are becoming more worried about running out of space, which is why a growing number of datacenters are implementing DCIM programs to detect idle processing, storage, and cooling capacity.

DCIM enables data centers to operate at maximum capacity while minimizing risk.

The Internet of Things (IoT)

The capability to control sensors remotely in almost every system is raising plenty of additional issues for data centers. The Internet of Things, according to Gartner, is a disruptive force that will transform the data center, owing to the sheer volume of data it will produce. The IoT data will have to get processed, prioritized, stored, and analyzed.

Still, since IoT data gets generated in bulk, new data center technologies like edge computing are necessary to keep the volume under control.

Read more on the tech making IoT networking relevant

Mobile Enterprise

Datacenter networking challenges consequently plague mobile computing service providers and their “personal device” strategies, just as they are by the security of these devices. Employees have immediate access to business-critical data through handheld devices, but these devices must remain controlled and protected.

To avoid the loss of confidential information with emerging datacenter networking challenges, data access must remain controlled and limited, whether workers use their own devices or the organization provides smartphones and tablets. Remotely wiping a mobile device’s memory or tracking and locking a missing or stolen device would require extra protection.

Simultaneously, additional questions about user privacy continue to emerge—for example, what are the long-term consequences of law enforcement having access to the data stored on any computer confiscated as part of an investigation? Mobile enterprise computing poses technological, organizational, and legal problems that the data center must resolve in the end.

Real-Time Reporting

The importance of real-time data analytics and reporting is growing. Not only are DCIM tools used to track physical data center activities, but big data analytics enables real-time monitoring of irregularities or problems that may show a security breach or other problem.

Real-time monitoring following analytics advances us closer to self-healing data centers capable of initiating a response, such as isolating a server or rerouting data traffic to a pre-defined alert.

Balancing Cost Controls with Efficiency

Budgeting and cost management are ongoing issues for every department, but the data center’s cost-control concerns are special. Whilst you want to ensure that your data centers are effective, creative, and elegant, you must also be mindful of cost control.

For example, greening the data center is a continuous goal. Promoting energy efficiency lowers operational costs while still promoting environmental responsibility, which is why IT managers control the efficacy of power use. Other methods, such as virtualization, improve operational performance while keeping costs in check.

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