InfinCE to Sponsor a virtual conference organized by the Digital Workplace Experience!
It is no doubt that the spur in remote working culture, posed by the COVID19 pandemic has disrupted the smooth functioning of businesses worldwide. With an aim to help companies overcome such challenges and still unlock new opportunities within this realm, Digital Workplace Experience is organizing a series of virtual conferences for enterprises worldwide, from the 11th of February, 2021. InfinCE, the flagship product of Fingent, is the keynote sponsor of the conference!
The event promises inspiring talks from innovative and well known Business Thought Leaders, giving away tips and secrets of predicting challenges before they occur. InfinCE will also exhibit its virtual booth to illuminate business leaders with technology that enhances collaboration, communication, data security, as well as eliminate the many challenges prevailing in today’s business world.
The conference aims to bring together thousands of enterprise executives to share their real-world company culture, employee experience, and digital workplace platform challenges. Business leaders from across the globe are welcome to attend the series of events which includes talks, in-depth workshops, insights into the world’s best digital workplaces, and candid case studies to enhance business leadership qualities and skillsets.
Digital Workplace Experience is gathering together the world’s most influential companies and intelligent workplace leaders to sponsor the events. InfinCE, which is an infinite cloud platform, aims at simplifying remote work with upbeat technologies. Sharing the similar objective of assisting businesses from around the globe with a unified business management platform that redefines how office-work tech is provisioned for today’s business, InfinCE is honored to be a part of this virtual conference as the keynote sponsor.
Watch more on how InfinCE equips business owners and employees with next-gen cloud technology!
InfinCE is an all-in-one collaboration platform that redefines the enterprise cloud by bringing together all the IT resources needed for an organization and its workforce to operate from anywhere. InfinCE offers customizable dashboards with smart tiles for data visualization, a full complement of collaboration apps and productivity tools, and a curated business app marketplace. It also lets business owners control their information assets through a single admin panel, with minimal effort. The platform also offers customizable websites, business emails, a company-branded mobile app, and more, delivering a competitive edge to business users.
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Cloud security threats: How to protect your data and mitigate risks?
Be it Google G-Suite, Dropbox, Adobe, Salesforce, or Microsoft Office 365, almost every business uses cloud services for their critical business requirements. Despite its rapid growth, cloud computing brings the possibility of severe security threats that can drastically affect an organization. According to Cybersecurity Ventures, cybercrime damages might hit $6 trillion by 2021. 1 out of 4 will experience a data breach, and on average, businesses are investing about $7.2 million on security breaches. These figures prove how devastating security threats can be if they are left unchecked.
While cloud systems, applications, and networks are not located within your control physically, the security responsibility and risk mitigation are definitely within your control.
Some of the latest security threats to cloud data management include:
- Phishing attacks
- Ransomware attacks
- Insider threats
- Asynchronous procedure calls
- Distributed Denial of Service Attacks (DDoS)
- Uneven security gaps
Why is cloud security important?
While cloud service providers protect your data, they can’t protect your data when it leaves the cloud to interact with other systems.
Cloud security is essential to protect your data as well as the integrity of your business. According to a survey, 60% of breaches occur at patches that are available but not applied. You will need a team to continually monitor potential security threats to ensure that your cloud infrastructure is always up-to-date.
Regardless of your organization’s size, it would be best to implement strong network security services to protect your organizational and customer data.
Read more: Why It’s Time to Embrace Cloud and Mobility Trends To Recession-Proof Your Business?
Six ways to protect your data and monitor your cloud environment
1. Set-up multi-factor authentication (MFA)
Stolen credentials make it easy for hackers to access your business data and applications is to steal your credentials. The combination of complex usernames and passwords alone is not sufficient to secure your user accounts from hackers.
So, protect your cloud users with two-factor authentication or multi-factor authentication to ensure only authorized people can access your cloud apps and have access to sensitive information.
Deploying multi-factor authentication is an effective way to keep potential hackers from accessing your cloud applications. Most security experts believe that it is mandatory to implement MFA as it is also one of the cheapest security controls an organization can have.
2. Assign access controls
Not all your employees need to have access to every file, application, or data. By setting up proper authorization levels, each employee can only view or access applications or data required to complete their job.
Assigning access controls will ensure that your employees don’t edit any information accidentally that they are not authorized to access. Additionally, it will also protect you from hackers who have hacked an employee’s credentials.
3. Leverage automation to monitor, log and analyze user activities
Real-time monitoring and user activity analysis can help you identify any irregularities or abnormal moves that are not part of your regular usage patterns. For example, log in from an unknown IP or device.
Such irregularities could indicate a breach in your system, so it is essential to identify them early on to prevent hackers from hacking your system and help you resolve any security issues before they wreak havoc with your security system.
You can leverage data protection solutions to automate the process and support 24/7 monitoring and management.
Note: Every business has different needs for different levels of security services, so you may consider getting a third-party risk assessment before making significant investments. At Fingent, we identify and evaluate any loopholes in your current infrastructure and provide you with apt cloud infrastructure solutions using our unique approach.
4. Provide anti-phishing training to your employees
Small Business Trends reports that 1 in every 99 emails is a phishing attack, which amounts to 4.8 emails per employee in a five-day workweek.
Hackers can easily steal employees’ login credentials to gain access to secure information via phishing. In this kind of social engineering attack, the attacker sends fraudulent emails, texts, or websites to trick the victim into sharing access to sensitive information. Providing ongoing training to your employees to recognize a phishing attempt is the best way to prevent employees from falling prey to such scams.
5. Create a comprehensive off-boarding process for departing employees
Ensure that your departing employees no longer have access to your cloud storage, data, systems, customer data, and intellectual properties.
As every employee is likely to have access to different cloud applications and platforms, you need to set up a process that will ensure all the access rights for departing employees are revoked. If you can’t manage this internally, you may consider outsourcing this task to a credible vendor.
Learn more: Take a look at how InfinCE, an infinite cloud platform, ensures secured work-collaboration within an organization, and helps enhance company efficiency & growth!
6. Cloud-to-cloud backup solutions
There is no doubt that there are legitimate risks associated with any cloud application or platform. However, the odds of you losing data due to your cloud provider’s error is low compared to human error.
Say, an employee deletes your data accidentally, and a hacker obtains the account password and corrupts the information, or an employee clears her inbox and folders. In such cases, cloud providers can do nothing much past a specific period. Most cloud providers store deleted data only for a short time.
You can check with your cloud provider about the time frame and whether they charge any fees to restore the data. If your company must abide by strict regulations or be concerned about being liable for corrupted data, you can consider cloud-to-cloud back-up solutions.
There’s no denying that cloud computing is one of the most cost-effective options to maintain a high level of security for your sensitive data. At Fingent, our experts can help design a comprehensive cloud computing strategy that will help achieve your business objectives and provide you with ongoing management to keep your data protected. Contact us now and get started.
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Identifying 7 Common Mistakes in Tech Projects
As a non-tech business, you are an expert on the product or service that you are selling. That is your core competency, not information technology. Still, some businesses feel they can do it themselves. That could cost you a lot more than you think. Technology by nature is like a moving target and pinning the best technology solution requires quite a bit of work. Treating tech projects as an afterthought is a mistake that non-tech businesses make far too often. Worse yet, those mistakes can stall the growth of your business. Avoiding tech mistakes, especially the high impact ones, will be the thing that ensures the success of your business.
What are the 7 deadly mistakes non-tech businesses make on tech projects and how you can avoid committing those mistakes? This article will help your company navigate the complex and confusing world of technology.
Mistake #1. Skimping on Security
Most small businesses might conclude that their business isn’t that big to become a target for hacks and data theft. Unfortunately, security has become the number one issue even for small businesses with increased online scams, software vulnerabilities, and networks using improper architecture. Can you imagine the impact on your business if your trade secrets, customer information, HR records, and confidential communication fell into the wrong hands!
One of the top security risks most businesses often ignore is the failure to encrypt their emails. Some discard email encryption either because it is costly and complicated, or because they feel that the threat is insignificant. You can prevent much pain and loss by encrypting your emails. Always assume that every email you send could be intercepted by unethical hackers.
Try this: Set up an email encryption system to protect all your emails and their attachments.
Mistake #2. Patching New Software On Old Hardware
Most often than not software publishers release new upgrades that require a significant hardware upgrade in order to run the newer version. Many businesses purchase the latest version of the software without considering its hardware requirements. The use of old computers and their hardware can be problematic since these devices generally lack the latest features, hang too often, and are slower at common tasks like launching the application, booting up, printing, and internet search. This can result in a failed upgrade and can bring your business to a screeching halt until new hardware can be put in place or until the old version is reinstalled.
Try this: Before you purchase an upgraded software, check the minimum system requirements needed for the software to run smoothly and ensure that your existing system meets those standards.
Mistake #3. Skipping The Planning Phase
Planning for IT may seem tedious and time-consuming especially when you have so many things to get done with the running of your main business. However, it is vital that every business, big or small, must plan out their IT initiatives at least once a year. Failing to map-out your technology path can impact your entire business. You must plan your budget for new software and hardware upgrades while considering the need for additional manpower and/or technical support. Planning ahead will ensure business continuity and will spare you from unanticipated problems and setbacks when something fails.
Try this: Decide on a particular month of the year for taking stock and planning your IT structure and requirements.
Mistake #4. Inadequately Trained Employees
Some of your employees may understand technology, perhaps because they had some experience with it formerly or just because they are tech geeks. This is by no means enough to put them on the job to handle tech requirements. One of the most common mistakes that many non-tech companies commit is to try to get the job done with employees who are not adequately trained to use the technology they have at work. There is no alternative to training, it is an absolute must for business growth! Forgoing on the training of employees may render well-intentioned purchases useless and result in a massive loss of ROI. By training your employees you can lessen the likelihood of mistakes and improve overall productivity.
Try this: Take the “train the trainer” approach with your software provider. It is cost-effective and helpful.
Mistake #5. Ignoring Reliable Backup And Disaster Recovery
Businesses today are reliant on their records and data, which are almost completely stored electronically. It is extremely dangerous to assume that your backup system is working properly. A sudden power outage or a server crash can delete all your data within seconds increasing your downtime and the expenses that accompany it. It is a good practice to back up a test directory, erase it, and then do a test restore to ensure that your backup device is working. Also, ensure that the proper data is backed up.
Try this: Have a right backup solution and disaster recovery procedure in place.
Read more: COVID-19- Ensuring Continuity and Building Resilience- How business leaders can respond, survive, and thrive in the new normal
Mistake #6. Not Leveraging Cloud Computing
Most businesses either embrace cloud inconsistently or treat it as an unnecessary expenditure for their tech projects. Cloud computing has emerged as the most efficient platform for businesses than on-premise counterparts. This is because it makes it possible for employees, customers, and other authorized users to access the data at any time from any place. In most cases, cloud-based applications offer greater functionality and are less expensive. Cloud computing is more secure than an in-house computer operation that may lack proper antivirus solutions, firewalls, or backup systems.
Try this: Prepare a cloud strategy and as soon as possible, consider moving some of your applications and data to the cloud.
Mistake #7. Ignoring Preventive Maintenance
The most common mistake made by businesses on tech projects is the “repair when it crashes” strategy for IT infrastructure. While it may not hurt too much on some issues, can you imagine your 10-year-old server crashing! Now that could cripple your business. If your mission-critical hardware crosses its shelf life as it were, it is time to consider replacing it well before it actually crashes. Just like your automobile, IT software and hardware require regular maintenance and adjustments. Both the software and servers need continued care to perform at optimal levels.
Try this: Avoid overextending the life cycle of servers. Start planning to replace it well in advance. Look for the manufacturer’s instructions on MTBF (mean time between failures) for your equipment.
Don’t Make a Costly Mistake
As a business, you are constantly juggling multiple roles and duties to ensure that everything runs smoothly. Too often, the panic call comes after a technology mistake has been done already. It is crucial to remember that a single mistake could lead to catastrophic loss of data that your business may never recover from. Don’t take chances with your business. Get our experts to help you make those tech decisions and implement them smoothly. Give us a call and let’s get talking.
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How Can Your Business Benefit from Fog Computing?
How much data do we create every day? The World Economic Forum reports that the entire digital world is expected to reach 44 zettabytes by 2020. So, each day, we witness the colossal growth of data and this pace is only increasing with the growth of IoT. The agility and flexibility of big data applications are the foundation of the Internet of Things (IoT). The escalation of IoT has resulted in an increased volume of digitally generated data and managing that data has become a major challenge. This has led to the emergence of fog computing – an answer to the new challenges of computing technologies.
Read more: Gearing up for IoT in 2020
Defogging The Term Fog Computing
Let us start by defining it.
What is fog computing?
Fog computing is a decentralized computing infrastructure in which computing resources such as data, computers, storage, and applications are located between the data source and the cloud. This term refers to a new breed of applications and services related to data management and analysis.
According to Mung Chiang, Dean of the Purdue University, “fog provides the missing link for what data needs to be pushed to the cloud, and what can be analyzed locally, at the edge.” In simple terms, fog computing is a distributed network fabric that stretches from the outer edges of data creation to the point of storage.
Are fog computing and edge computing the same?
Edge computing is a subset or a component of fog computing. For example, if fog computing is compared to a basket of various fruits, edge computing would be one fruit from a single variety.
Edge computing refers to data being analyzed locally, at the point of creation. Fog computing encapsulates edge processing as well as the network connections required to bring that data from the edge (point of creation) to its endpoint.
Evidently, fog computing and edge computing are complementary.
Difference between fog computing and cloud computing
Just as the literal fog is a cloud closer to the ground, fog computing is stationed as a layer to reduce the latency in hybrid cloud scenarios. Cloud computing forms a comprehensive platform that helps businesses with the power to process important data and generate insights. Fog computing is like the express highway that supplies computing power to IoT devices which are not capable of doing it on their own.
How Does Fog Computing Work?
Fog computing uses the concept of ‘fog nodes.’ These fog nodes are located closer to the data source and have higher processing and storage capabilities. Fog nodes can process the data far quicker than sending the request to the cloud for centralized processing.
The cloud is getting cluttered due to the enormous number of devices connecting to the internet. Since cloud computing is not viable in some cases, it has become necessary to use fog computing for IoT devices. It can handle the enormous data generated by these devices.
When implemented, fog-empowered devices locally analyze time-critical data that includes alarm status, device status, fault warnings, and so on. This minimizes latency and prevents major damage. Fog computing can effectively reduce the amount of bandwidth required, which in turn speeds up the communication with the cloud and various sensors.
Fog computing example:
If a user with a hand-held device wants to review the latest CCTV footage from a locally positioned IoT security camera, he would need to request the stream from the cloud since the camera does not have storage. This could take a bit of time, which can be eliminated with fog computing, where a local fog node can be accessed for video streaming which is far quicker.
Step-by-step Fog Computing Process:
- Signals are wired from IoT devices to an automation controller which executes a control system program to automate those devices.
- A control system program wires data through a protocol gateway.
- Data is converted into a protocol such as HTTP so that it can be understood easily by internet-based services.
- A fog node collects the data for further analysis.
- It filters the data and saves it for later use.
Key Takeaways for Your Business
- Increased business agility: It is evident that fog computing is cost-effective because it makes the production of revenue-generating products and services more efficient. It accelerates rollout cycles, broadens revenue bases, and reduces costs.
This revenue stream creates value for IoT fostering highly functioning internal business services. Fog computing also provides a common framework for seamless collaboration and communication helping OT and IT teams to work together to bring cloud capabilities closer.
- Privacy control: Fog computing facilitates better control of privacy because you can process and analyze sensitive data locally instead of sending it to a centralized cloud for analysis. It also enables the IT team to track, monitor, and control any device that collects or stores data.
- Data security: Since fog computing allows you to connect multiple devices to a network, it helps identify threats such as potential hacks, or malware. Additionally, such identified threats can be curbed at the device level without risking the entire network.
The Future is Fog Computing
Fog computing has several advantages over cloud computing. Fog computing can boost usability and accessibility in various computing environments. Soon, cloud computing for IoT may fade away but fog computing will take over. IoT is seeing an impressive growth rate and so it needs a special infrastructure base that can handle all its requirements. Fog computing is the key to accomplish this critical work. So get in touch with us and let’s get this happening for your business.
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How to prepare for IoT in 2020?
It’s 2020 already and the Internet of Things (IoT) is here to stay. We’re at the cusp of a new era wherein intelligent digital connectivity is a part of our day-to-day lives. Gartner predicts that there will be 25 billion connected devices by 2021. Thus, IoT has made its presence felt across various industries.
Upcoming IoT trends that can shape the business landscape
1. Industrial IoT and Digital Twin technology:
IoT has made manufacturing smart, efficient and less risky. Using digital twin technology, organizations can access the context, structure, and behavior of an asset. Thus, you have the information regarding the past and present state of an asset with an ability to look into the future. Organizations are therefore receiving warning alerts and predictions faster than ever before. Investing in a digital twin can be a part of your IIoT strategy so that after implementing sensors into your machines, you can document their operations and fine-tune them.
2. Computing would be balanced between the cloud and the edge:
While those new to IoT consider cloud as inevitable, high data transmission costs for remote business environments have moved computing to the edge. In many industrial sectors, shifting some analytics intelligence to the edge may prove cost-effective. With edge devices becoming more affordable and centralized infrastructure becoming more stressed, there would be a balance between cloud and edge.
3. Sustainability will become important:
Sustainability efforts have become a key business priority across the globe. The World Economic Forum reports that IoT projects can help to accomplish the UN’s 2030 Agenda for sustainable development. IoT can have a large impact on global sustainability as it connects people and things. IoT can be used to reduce e-waste, promote agricultural sustainability, save energy, protect species, reduce emissions and so on.
How to gear up for the IoT boom in 2020?
While IoT promises attractive growth potential, many companies lack the technical capabilities and know-how to make their IoT projects work. A recent survey found that almost 75% of IoT projects end up as failures. Following are some of the ways in which you can prepare for the IoT surge:
Related Reading: IoT Implementation: Common Mistakes And Strategies To Tackle Them
- Plan Ahead: The major challenges that cause IoT projects to fail are budget overruns, limited internal expertise, long completion times, lack of proper data. All of this boils down to planning. You need to organize your projects, asses your budget needs, calculate the time requirements and assess whether your team has the expertise to handle the project. If you lag on any of these points, it is better to postpone the project rather than not finishing it at all.
- Establish partnerships: Implementing IoT products can be very taxing due to the complex technology involved. The task can become almost unmanageable without a network of partners. You can establish partnerships for technological expertise or data and content delivery. Pioneers like Facebook, Amazon or Google have built entire ecosystems by establishing partnerships with hundreds of thousands of specialized developers.
- Integration: Successful IoT implementation requires robust connectivity, infrastructure, and seamless integration of your enterprise application/ systems with proper third-party wares. Challenges such as integration of the IoT platforms to enterprise applications and integration of edge/ cloud computing devices to the IoT platforms are most prevalent. By forming a strong IoT solution team with IoT architects and other subject matter experts, you can solve challenges across the IoT solution landscape.
- Ramp up the security: Cybersecurity is going to be one of the biggest risks in an increasingly connected world. Since everything that can be connected to the internet is exposed to a security risk, it is critical to secure every connected device. You need to be prepared with a game plan to tackle such types of data breaches. If you find that your business is ill-equipped to meet the security needs of your IoT network, don’t worry; you can always outsource.
Related Reading: The Pros and Cons of Outsourcing Mobile App Development
- Data storage: IoT is all about data. Cisco estimates that IoT devices would generate about 847 zettabytes of data per year by 2021. You can invest in your own local data storage system (which would be expensive) or you can find a cloud storage provider. Edge computing is another possible solution that is preferable over the aforementioned ones. In this system, the data is pushed to the ‘edge’ for quick access and to prevent data overload.
- Be ready to transform: Partnerships are important. But you’ll also have to set up your own software and big data capabilities which are far beyond the existing levels. The team should focus on transforming itself into a technology company that understands the capabilities of IoT. Be responsive and address all concerns that rise up during the course of the project.
- Innovate dynamically: A dynamic operating model requires cooperation. Innovative approaches like hackathons can be used to advance new ideas that meet the market demands of the digital world. Having the courage to take risks is an important part of dynamic product development. Even if ideas fail, it is important to keep trying and be consistent.
The Internet of Things (IoT) is set to bring about lasting changes across various industrial sectors. Business leaders who stay agile can rest assured that they won’t be left behind.
Need any tips on how to harness the power of IoT in your business? Contact us now!
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A Look Into The Cloud Computing Trends for 2020
“Fewer, but larger, public cloud platform providers and a maturing SaaS ecosystem will dominate enterprise cloud spending” – The Public Cloud Market Outlook, 2019 To 2022 Forrester Report.
Organizations are recognizing the importance of cloud computing and are adopting the technology steadily over the past few years. With recent technological advancements creating new excitement around the idea of cloud computing, the adoption is now skyrocketing!
According to Gartner, the worldwide public cloud services market will gain a positive growth of 17% in 2020. That is an increase from $227.8 billion in 2019 to 266.4 billion in 2020. This makes it vital for organizations to identify the forces that will shape the cloud computing market this year. This article will help you with this as we discuss five specific trends that will transform cloud computing in 2020.
Why Keep Up with Cloud Computing?
Aggregated mostly around Amazon, Google and Microsoft, the cloud market underwent a profound change in the recent past. The pace for cloud adoption and innovation will inevitably continue to accelerate across industries and regions providing new opportunities, and new levels of quality and efficiency. The question you must be asking is: What is in store for the cloud computing market and how should you prepare for it in 2020?
1. Shifting Gears from Multi-Cloud to Hybrid-Cloud
2019 has seen how organizations routinely deployed workloads across multiple clouds. In order to achieve expected outcomes in business, organizations will have to adopt the right and appropriate cloud strategy. A hybrid cloud computing structure uses an orchestration of local servers, private cloud, and third-party public cloud services to achieve desired results. According to The RightScale 2019 State of The Cloud Report, the hybrid cloud adoption rate was estimated at 58% last year.
In this transitional era, the hybrid-cloud will become an integral part of the long-term vision for industries on how they will meet their needs. It can provide a seamless experience to enterprises and help them solve complicated challenges around latency. Customers too won’t have to deal with two different pieces of infrastructure; on-premise and public cloud. Thus, the shift to a hybrid-cloud will make things easier for both the organization as well as the customers.
Related Reading: Hybrid Cloud Infrastructure: How It Benefits Your Business
2. Serverless Computing
“Serverless computation is going to fundamentally change not only the economics of what is back-end computing, but it’s going to be the core of the future of distributed computing,” says Satya Nadella, Chief Executive Officer at Microsoft. This comment clearly shows what the future of serverless computing is.
Serverless computing ensures that developers must only focus on their core product without worrying about operating and managing the servers. This is an advantage that moves enterprises to adopt serverless computing. According to Gartner, more than 20% of global enterprises will deploy serverless computing technologies by 2020.
3. Cloud Security will Become Paramount
Many organizations feel that cloud computing could pose security issues. They might have concerns about regulatory and privacy issues, along with compliance and governance issues. Consequently, security features of public data have become the key focus in 2020. It will not be just about access controls or policy creations. Aspects such as data encryption, cloud workload security, and threat intelligence will gain priority as part of an organization’s security measures. 2020 will also see security features such as privileged access management and shared responsibility models.
According to Kristin Davis of 42crunch.com, 2019 became the year where API Security threats came to notice. As the year progressed, we have observed a lot of high profile API breaches and vulnerabilities, including the ones at Facebook, Amazon Ring, GitHub, Cisco, Kubernetes, Uber, Verizon, etc. In their October 2019 report, Gartner estimates that by 2021, exposed APIs will form a larger attack surface than UIs for 90% of web-enabled applications. In 2020, we expect API security getting to the top of the agenda of a chief information security officer. Also, DevOps tools and processes are expanding to DevSecOps, to lower the risks and implement security by design.
Mihai Corbuleac, Senior IT Consultant at StratusPointIT predicts security acquisitions to make more headlines in 2020, it has made the headlines over the last year. It is because all cloud companies that can’t develop in-house modern security solutions have to look to buy them.
Related Reading: How Secure is Your Business in a Multi-Cloud Environment
4. Digital Natives
As the workforce evolves, the expectations of the workers will definitely increase. Those joining the workforce will be well-acquainted with cloud computing and its advantages. Such workers are called ‘digital natives.’
Organizations will have two sets of workers as a consequence: those who have adopted digital best practices and those who have not. This would call for a need to train the second set of workers, which is called ‘reverse mentoring.’ The adoption of cloud computing and related technologies will enable organizations to integrate both the workgroups into one unified workforce.
5. Quantum Computing
Quantum computing requires massive hardware developments. This opens up the potential to exponentially increase the efficiency of computers in 2020. It allows computers and their servers to process more rapidly than ever before. Quantum computing also has the potential to limit energy consumption. It requires lesser consumption of electricity while generating massive amounts of computing energy. Best of all, quantum computing can have a positive effect on the environment and the economy.
Are You Keeping Up the Pace?
Whether you are a large organization or a small one, cloud computing will remain a compelling, fast-moving force in 2020. Adopting cloud computing technology will enable organizations to mitigate risks and capitalize on opportunities. Ultimately, organizations will have a number of decisions to make with regards to cloud computing. It will include deciding when and how to adopt cloud computing technology, as well as for deciding on the specific model they would like to adopt.
Related Reading: Cloud Migration: Essentials to Know Before You Jump on the Bandwagon
With years of experience in helping clients transform their business by the power of the cloud, Fingent can help you understand and implement this technology seamlessly in your business. Contact us to know more.
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What To Watch Out For In 2019 On ERP Market Trends
It’s true that we can never bid adieu to last year’s trend-setting technologies like blockchain, AI, IoT, and multi-cloud. But, neither can we not talk about the progress where technology is likely to echo around the ERP space.
According to a study by MarketWatch, “The ERP software market is expected to rise globally to $47B by 2022”. Let us find out what are the possible market trends in ERP for 2019.
Drastic Rise Of The IoT Market
According to Statista’s latest research, “the global IoT market will rise exponentially from $2.9 trillion in 2014 to over $7 trillion in 2020”. This leads to a situation where ERP systems will need a new level of intelligence and automation to make platforms collect data and insights.
Earlier, only a small percentage of data were created and processed outside a traditional data center. But in the future, there will be a situation where nearly all data will be generated from outside of the data center.
IoT is expected to drive the design and deployment of many operational analytics solutions. Industries such as retail, banking, and telecommunications will also adopt operational analytics to enhance customer experience and quality.
Related Reading: Get answers to where and why should you invest in IoT.
Accelerating Transition To Cloud Computing
According to Statista Reports, “the global market revenue of public cloud services will surpass 278.3 U.S. Dollars in 2021”.
The benefits of this would be greater data security, minimal dependency on hardware, speedy results, and high customer satisfaction. As per the research report by IDC, spending on cloud computing is anticipated to rise at a rate of six times the rate of the current IT spending through 2020 which upsurges at 4.5 times the IT spending rate since 2019.
Cloud concepts, Content Delivery Network (CDN), DevOps, Big Data and Artificial Intelligence, are going to be the key players in the future of Cloud Computing.
Contribution Of AI And Emerging Disruptive Technologies
The three main trends behind the huge adoption of ERP services are the integration of artificial intelligence (AI), deployment in the cloud, and improved IoT technology.
Big data analytics and the various kinds of AI, including predictive analytics, machine learning, and deep learning, form the catalysts for industries to improve customer experience.
The third wave of technology evolution is based on systems of intelligence (Cloud, IoT, AI, VR, AR). For instance, Chatbots and messaging apps are examples for a rapid expansion in the implementation and adoption of AI.
By implementing advanced solutions such as AI-based chat-bots, IoT sensors and more, businesses will streamline and thereby accelerate their functions. This can tackle productivity issues and also it is an opportunity for businesses to realize the value and utility of new disruptive technologies.
Related Reading: Watch out for the top AI trends in 2019.
ERP and SaaS – Differences In Overheads
The traditional applications based on ERP were stored on servers. This meant overheads as a result of increased hardware costs as well as costs associated with backup, recovery, and maintenance. The difference between traditional and SaaS applications is that SaaS applications are stored on cloud-based servers.
The benefits of SaaS are that these applications do not demand high maintenance costs, or rather are they expensive. The additional overhead costs that are reduced when it comes to SaaS are that they differ in terms of per-seat licensing costs as well as the total cost of ownership etc.
So, since Saas is a cloud-based model, SaaS-based applications are neither costly, neither are they difficult to maintain.
ERP transition has taken place rapidly. The new SaaS model for ERP is very flexible and useful.
Inclusion Of Social Media Channels
ERP systems in 2019 will need to be able to include direct marketing and data links across multiple social media channels to make their presence felt in the market.
HR managers frequently use social media to search for and hire new employees and also as a background check and even as performance management indicators. These changing trends in business operations are reflected in any competitive ERP platform.
The modules that address are becoming social-media savvy in 2019. This is mainly due to the high use of customer base that accounts for 2.77 billion customers (according to eMarketer research).
The other engaging trends in ERP adoption are as follows:
Focus on Business Intelligence
Organizations are trying to make forecasts with ERP software for business intelligence.
Good Integration architecture
An increasing need for ERP software system has resulted in the act of ERP consultants being shifted towards a better integration architecture for ERP software.
Two-tiered ERP is very useful for enterprises since they run in different processes at different places. These tend to match the needs of all locations with a better cost structure. It best suits when the enterprise is large.
The Personalization Advantages
Today’s ERP systems are built for personalization. Some systems offer tools to help make it easy and fast in customizing the application to their needs.
Large Organizations Acquiring Small Startups
Large organizations try acquiring smaller startups in that regards. This increases ERP implementation.
Partnering With Firms That Break The Traditional Rules
With the onset of the cloud, the traditional role of technology partners will no longer be enough. Finding an ERP partner that utilizes the latest technology and analyzing how they deliver service with your needs is required for a successful business.
More focus on profit from ERP
As ERP becomes more and more successful in the market, firms blindly implement them now. They are sensitive to the return of investment.
These above trends in ERP to be witnessed in 2019 are beneficial for an organization as well as provide to business growth. ERP software is used in various fields for work and that is the reason why the demand for an ERP software system is increasing every day.
Watch out for more market trends and highlights showcased for 2019 in our latest blogs!!
Also, empower your business with trending technologies. Contact our tech-experts today!
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Over the past couple of years, digitization has enabled technology-driven small companies to outclass established business houses worldwide. With industries ranging from taxi-services to banking, transforming digitally, more and more enterprises are realizing the importance of making digitization their number one priority. The tech-savvy consumer base, which consists of the population below the age of 30 and covers 50% of the global population, is considered to be the key driver behind this realization. Such folks have the rising affinity to expect every business organization they interact with to provide the fastest and most satisfying experiences each time. As a business, turning deaf ears to customer’s expectations can lead to unrevivable consequences. From AI to blockchain, IoT and RPA, the list of digital innovation you need to pay attention to are huge.
It’s nearing the first quarter completion of 2019 and we thought this would be the perfect time to show you the digital innovations that we believe will reshape businesses in the coming months and future years. Here are our top 5 picks from technologies that enterprises need to watch out for by 2020:
Flexible Cloud Computing
When cloud computing became mainstream a couple of years ago, there was a rush from enterprises to build their technology competence on the cloud. This resulted in several businesses having their own private cloud ecosystems that supported their own limited digital innovations. Today, many available digital tools require a complex network of cloud resource. This has reshaped the cloud computing ecosystem which has now transitioned into intelligently connected networks that have Public, Private and Hybrid cloud partitions working in sync to help businesses derive value from technology running on these platforms.
Different IT workloads may need to be run simultaneously over multiple cloud platforms to achieve enterprise goals and this has resulted in the so-called Multicloud saga. This is one area which will see more developments and interest from the business community in 2019 as the previous year saw major cloud service providers acquiring or developing solutions to club their multiple cloud ecosystems to serve client interests.
Related Reading: Find how a cloud platform like INFINCE can help businesses leverage technologies more efficiently.
Blockchain in Mainstream
The past couple of years saw considerable investments from the business community in the blockchain. We believe there will be mainstream applications coming out in 2019 that will revolutionize areas such as data security, digital identity verification, and intelligent automation. Sectors such as BFSI, logistics, regulatory bodies, and government agencies have already started using blockchain to set up complex autonomous verification and validation systems that require minimal human intervention, thanks to the capacity of blockchain to be immutable.
In the coming years, more mainstream consumer-facing areas of businesses would be driven by blockchain based autonomous operational interfaces and it could set the stage for innovations akin to self-driving cars. Many technology companies would be coming out with mainstream solutions having blockchain essentials embedded into their core and these would further enhance business capabilities for enterprises worldwide.
Related Reading: Find how blockchain technology can transform the supply-chain industry.
While this concept has been around for a while, we think it will make more impact this year as more companies are investing in this front. The idea is to create a digital persona for every product or service business has to offer its customers. This persona would be used to arrive at choosing the right supporting digital enablers like data generators (sensors, IoT enabled devices, etc.) as well as the right decision path (data models and implementations of data science to arrive at success models). Such persona would be used to ascertain an offering’s readiness to the market, the cost required to maintain it viable, the processes and business models that need re-defining to support it and so on. The entire exercise though a bit complex will bring about a strategic advantage to adopters as their business offerings would be more aligned for digital success than competitors.
2019 will see consumer experiences moving to a more immersive phenomenon where almost everyone from a local retail shop to an e-commerce giant will offer interactive experiences courtesy of technology like augmented and virtual reality. Gartner says that by 2022, nearly 70% of all businesses would be using immersive customer experiences in some form on an experimental basis. Such immersive technology will find its way into numerous consumer-facing scenarios like demonstrations, virtual assistants, field services and so on. With gadgets supporting immersive experiences like smart glasses and wearables being available for very affordable prices, the consumer base requiring such experiences will grow tremendously in the coming years. The possibilities are limitless and businesses small or big can capitalize on this opportunity to improve their competence.
Artificial intelligence is no longer a trend to watch out for because it has already gone mainstream over the last two years. Today, the focus should be on solutions that have been made available by harnessing the power of AI. One major solution that has gained attention now are conversational bots. From websites to major apps, a multitude of consumer-facing interactions is now handled by programmed bots that can interpret queries and respond intelligently.
Be it ordering food from a restaurant, booking a cab or even carry out a banking transaction, tech-savvy consumers are increasingly depending on personal digital assistants or bots to aid them in every step of the way. The proliferation of smart devices like smart home speakers, wearables and other IoT enabled home and personal electronic devices have created immense possibilities for a business to connect more effectively with end users. Today, you can ask your smart coffee maker to brew a coffee in the most precise variants of taste and smell without even having to touch the coffee maker. You can simply ask the personal assistant on your phone to do so.
The top technologies mentioned above concludes that 2019 and the years to come is going to be a breakthrough year for several technological innovations. Business leaders need to hone their digital skills to keep pace with the rapidly growing market. On the positive side, most of these technology platforms or solutions come in affordable subscription basis and hence it is pretty much accessible to any enterprise despite their business size. However, the biggest differentiator for your success is the right technology advisory and implementation.
This is where our consultants at Fingent can become your best asset. With years of experience in empowering multiple businesses to achieve their digital aspirations, our world-class services can help you achieve your digital dreams seamlessly. Talk to us to know more about how we can help you embrace the above innovations and much more into your mainstream business operations.
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A Quick Guide on the Cloud Service Models – Saas, IaaS, Paas!
The future of computing is in the cloud. What it implies is that you adapt your business to fit in the cloud model. Missing out on it can leave your business behind, especially in today’s world, where technology is imperative and unavoidable.
Once you sign up for cloud service models Saas, IaaS, and Paas, you can leverage its wider possibilities to bring the flexibility and efficiency that pushes your business growth. An enterprise cloud platform like InfinCE can always help you seamlessly embrace the power of the cloud to streamline and run a business efficiently, within a secured environment.
Over the years cloud services have witnessed exponential growth worldwide. The global public cloud services revenue in 2018 alone, is estimated to be over 305.8 billion dollars with 411.4 billion dollars growth projected in 2020.
This year, Gartner forecasted the worldwide public cloud services market to grow 6.3% by the end of 2020 to total $257.9 billion, up from $242.7 billion in 2019. Desktop as a service (DaaS) is also expected to have the most significant growth in the coming years, increasing 95.4% to $1.2 billion in 2020. Here’s a peek into the Worldwide Public Cloud Service Revenue Forecast Table put up in Millions of U.S. Dollars.
Fig.1: Worldwide Public Cloud Service Revenue Forecast (Millions of U.S. Dollars)
Fig 2. Global Forecast of Public Cloud Services Revenue, Source – Gartner
What these reports signify is a steady adoption of cloud services by businesses across the world to tackle the entire range of operations that they do. Application development in cloud computing provides an extensive, flexible, and affordable way to implement cloud service models. Meanwhile, numerous leading players in the information technology sector now compete to deliver flexible cloud services for both the public and enterprises.
Increasing competition means better delivery of services and innovations, which can deeply benefit scaling up your business. Hence, now is the right time to deploy a cloud model into your business infrastructure.
- An Overview of Cloud Benefits
- Cloud Service Models Saas, IaaS, PaaS
- Adopting Cloud – Choosing Between SaaS, IaaS, and PaaS
- What Should You Know About DaaS?
- Cloud Service Models SaaS, IaaS, or PaaS: What Fits your Business?
An Overview of Cloud Benefits
You must be wondering! Why do you need to adopt cloud service for your enterprise and what could it possibly do to widen the scope of your operations? Well, the pros of cloud adoption far outweigh its cons, which is one reason why you should consider it in the first place. Here are 3 major advantages of cloud adoption.
Scalable – A cloud service allows quick scaling up and down of computing resources to accommodate your changing needs.
Affordable – You pay less for a cloud service, as it eliminates unnecessary costs involved in hardware upgrades and maintenance.
Secure – By signing up for a cloud service, you are essentially making your data more secure using their industry-grade security protocols.
If you have envisioned a goal of making your business more dynamic, then the cloud is the way. And the question comes down to this: what type of cloud service model would you implement and which one will fit your unique business requirements?
Cloud Service Models Saas, IaaS, PaaS
Cloud computing services come in three types: SaaS (Software as a Service), IaaS (Infrastructure as a Service), and PaaS (Platform as a Service). Each of the cloud models has its own set of benefits that could serve the needs of various businesses.
Choosing between them requires an understanding of these cloud models, evaluating your requirements, and finding out how the chosen model can deliver your intended set of workflows.
The following is a brief description of the three types of cloud models and their benefits.
SaaS or Software as a Service is a model that gives quick access to cloud-based web applications. The vendor controls the entire computing stack, which you can access using a web browser. These applications run on the cloud and you can use them by a paid licensed subscription or for free with limited access.
SaaS does not require any installations or downloads in your existing computing infrastructure. This eliminates the need for installing applications on each of your computers with the maintenance and support taken over by the vendor. Some known examples of SaaS include Google G Suite, Microsoft Office 365, Dropbox, etc.
IaaS or Infrastructure as a Service is basically a virtual provision of computing resources over the cloud. An IaaS cloud provider can give you the entire range of computing infrastructures such as storage, servers, networking hardware alongside maintenance and support.
Businesses can opt for computing resources of their requirement without the need to install hardware on their premises. Amazon Web Services, Microsoft Azure, and Google Compute Engine are some of the leading IaaS cloud service providers.
Platform as a Service or PaaS is essentially a cloud base where you can develop, test, and organize the different applications for your business. Implementing PaaS simplifies the process of enterprise software development. The virtual runtime environment provided by PaaS gives a favorable space for developing and testing applications.
The entire resources offered in the form of servers, storage, and networking are manageable either by the company or a platform provider. Google App Engine and AWS Elastic Beanstalk are two typical examples of PaaS. PaaS is also subscription-based and gives you flexible pricing options depending on your business requirements.
Adopting Cloud – Choosing Between SaaS, IaaS, and PaaS
Going through the details of what SaaS, PaaS, and IaaS may have given you a general understanding of these three cloud models. Each of them differs and has a range of advantages and disadvantages that may or may not fit in with your business model.
By correlating each of these cloud models sides by side, you could derive at a conclusion whether it suits your business requirements.
- Affordable – SaaS is affordable as it eliminates the costs involved in the purchase, installation, maintenance, and upgrades of computing hardware.
- Anywhere Accessibility – With SaaS, you can access the services from anywhere using any device such as smartphones, which eliminates the constraints set by on-premise software.
- Ready to Use – You can quickly set up SaaS services so that they become functional in no time. All it takes is that you sign up for the service to get access to fast and powerful computing resources.
Why Should One Opt SaaS?
With SaaS, communication, transferring of content, and scheduling meetings are made easy. SaaS is the ideal choice for small-scale businesses that do not have the necessary budget and resources to deploy on on-premise hardware. Besides, companies that require frequent collaboration on their projects will find SaaS platforms useful.
Studies reveal that Supply Chain Management, Business Intelligence, Enterprise Resource Planning (ERP), and Project and Portfolio Management will see the fastest growth in end-user spending on SaaS applications, through 2022.
Things to Consider Before SaaS Implementation
- Opt for configuration over customization within a SaaS-based delivery model. The configuration will allow you to tailor without changing the core product, whereas, customization will make it challenging to scale with the constant updates and documentation.
- Understand the adoption and usage rates carefully, and set clear objectives to be achieved with the SaaS adoption.
- Compliment your SaaS solution with integrations, and security options to make it more user-initiated.
- Minimize Costs – Deploying an IaaS cloud model eliminates the need to deploy on-premise hardware that reduces the costs.
- Enhanced Scalability – As the most flexible cloud computing model, IaaS allows you to scale the computing resources up or down based on demand.
- Simple Deployment – IaaS lets you easily deploy the servers, processing, storage, and networking to make it up and running in no time.
Why Should One Opt IaaS?
IaaS being the most flexible of cloud models gives the best option when it comes to IT hardware infrastructure. IaaS is the right option if you need control over the hardware infrastructure such as in managing and customizing according to your requirements.
Whether you are running a startup or a large enterprise, IaaS gives access to computing resources without the need to invest in them separately. However, the only downside with IaaS is that it is much costlier than SaaS or PaaS cloud models.
According to Gartner’s latest report, the worldwide infrastructure-as-a-service (IaaS) market grew 31.3% in 2018 to total $32.4 billion, and in 2019 it’s projected to be worth $38.9 billion. This growth will continue well into 2022, where it’s expected to be worth $76.6 billion.
Things to Consider Before IaaS Implementation
- Clearly define your access needs and the bandwidth of your network to facilitate smooth implementation and function.
- Plan out thorough data storage and security strategy to streamline the process.
- Ensure a disaster recovery plan so that your data remains safe and accessible at all means.
- Minimal Development Time – PaaS reduces the development time since the vendor provides all computing resources like server-side components, which simplifies the process and improves the focus of the development team.
- Multiple Programming Language Support – PaaS offers support for multiple programming languages, which a software development company can utilize to build applications for different projects.
- Enhanced Collaboration – With PaaS, your business can benefit from having enhanced collaboration, which will help integrate your team dispersed across various locations.
Why Should One Opt PaaS?
PaaS is the preferred option if your project involves multiple developers and vendors. With PaaS, it is easy to create customized applications as it leases all the essential computing and networking resources. Being a different model, PaaS simplifies the app development process that minimizes your organizational costs.
Besides, it is flexible and delivers the necessary speed in the process, which will rapidly improve your development times. A typical disadvantage with PaaS is that since it is built on virtualized technology, you will have less control over the data processing. In addition, it is also less flexible compared to the IaaS cloud model.
A study by Market Reports World estimates that the global PaaS market will grow at a CAGR of 24.17% during 2019-2023 and will get valued at 28.4 billion USD by the end of 2023.
Things to Consider Before PaaS Implementation
- Crucially analyzing your business needs, decide the automation levels, if it needs to be self-service or fully automated.
- Clearly determine whether to deploy on a private or public cloud.
- Plan through the customization, and efficiency levels.
What Should You Know About DaaS?
Desktop as a Service or DaaS is desktop virtualization provided through the cloud. DaaS is similar to the server deployment done in IaaS. However, it strictly specializes to offer desktop operating systems. As mentioned earlier in this blog, according to Gartner, DaaS is expected to have the most significant growth in the coming years, analyzing the 95.4% increase in Worldwide Public Cloud Service Revenue in 2020.
Providing device accessibility from anywhere and at any time, DaaS enables workforce mobility and enhances flexibility. Its offerings are mostly simple pay-as-a-go subscription models which makes it easy to scale up. With DaaS, an organization can rely on data security, disaster recovery, optimum performance, cost savings, and mobility. Enabling an easy to manage and simplified IT environment for desktop solutions, DaaS is now widely adopted amongst small businesses.
- Security – Along with easy accessibility and simplified management of desktops and applications, DaaS ensures enhanced security of data.
- Flexibility – As mentioned earlier, DaaS enables easy accessibility from anywhere allowing maximum flexibility. Seasonal or remote workers and contract employees can stay productive at all times with streamlined access to applications, remote desktops, and data on any cost-effective device.
- Cost savings – Providing easy monthly and yearly subscription plans, DaaS reduces the capital expense and makes operational expenses more predictable.
- Business continuity – Providing disaster recovery support, and easy access to apps and desktops to the workforce, DaaS helps running a business at all times, even during natural disasters and pandemics.
Cloud Service Models SaaS, IaaS, or PaaS: What Fits your Business?
The growing adoption of cloud services is a sign of the rapidly changing business environment. The forecasts and reports shed light on how the cloud is going to become the primary computing resource for enterprises in times to come. So, that suggests that your business should quickly adopt a cloud platform to leverage its wide-reaching benefits and in turn help you grow.
But, what cloud model would be apt as a solution that delivers the results that you are looking for. The above-mentioned details about SaaS, IaaS, and PaaS may have provided you with a peek into the nature of these cloud models. Each of them differs and it is up to you to address your business requirements and select one that you find apt for your needs.
Summarizing, SaaS would suit your business well if you need cloud-based software like email, CRM, and productivity tools. IaaS is the perfect option if you require a complete virtual computing platform with powerful resources. If your requirement is a platform to develop and test your software and applications, then it is better to opt for PaaS.
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Cloud computing refers to the method of computing in which an interconnected network of remote servers is utilized for the execution of the operations such as storage, management, and processing of information. The business units in the current era are making use of multiple cloud computing services and techniques in an integrated architecture. There are various deployment and delivery models of the cloud which are amalgamated as one unit for the execution of business processes and activities. However, with the expansion of such practices, there are some security issues that have been observed.
The security issues and occurrences are primarily associated with network-based security risks, availability, confidentiality threats and integrity risks. Events such as Denial of Service (DoS) attacks, malware attacks, message/media alteration attacks, spoofing and phishing attacks, man-in-the-middle attacks, and eavesdropping attacks are common in the multi-cloud environment.
Organizations are required to follow certain steps towards security to make sure that the security risks and occurrences are prevented, detected and controlled. The following security measures and steps shall be included in for achieving a secure multi-cloud environment.
- Prioritization of Visibility: The business organizations in the multi-cloud environment must ensure that they have complete visibility across all the cloud instances. Behavior-based monitoring shall be adopted for enhancing the visibility. Objectionable modifications and malevolent activities will also be highlighted with this process.
- Adherence to the Best Practices: In the case of the multi-cloud environment, there are various systems, devices, and networks that are involved. Each of these entities has a set of guiding principles and standards. The cloud security team must analyze and understand the best practices that are associated with each entity. For instance, in case of NoSQL databases present in the multi-cloud environment, it would be best to meet the compliance requirements, install advanced access control and authentication measures and promote database security for the overall security of the cloud.
- Flexible and Secure Governance: Governance is a critical element in any of the organizations. It is possible to establish trust and security across the organization only with the aid of well-governed systems. In association with the multi-cloud environment, the processes such as identity management, scheduling activities and resource allocation must be securely governed.
- Encryption of the Data at Rest: It is often witnessed that the business organizations enforce and implement the encryption of the information that is in-transit. However, the encryption of the information at rest is often not paid due attention. Such loopholes in security provide the attackers with an opportunity to get hold of the information at rest and misuse the same. It is, therefore, extremely necessary to encrypt the information at rest using advanced encryption algorithms.
- Advanced Shared Responsibility Model: Sharing of resources is one of the prime features of cloud computing, which gets enhanced in the multi-cloud environment. There are overlapping responsibilities and ideas that are often observed which may lead to the occurrences of loopholes in the security. Every entity that is present in a multi-cloud environment must make sure that complete justice is done to the shared responsibility model of the cloud. The allocation of roles and responsibilities shall be done in such a manner that there are complete transparency and ease of execution that is involved.
- Network-based Security Controls: Most of the security issues that occur in the multi-cloud environment have networks as the prime agents of the threats. It adds to the requirement of implementing automated and advanced network security tools and controls to ensure that such risks are avoided and controlled. Some of these tools include network monitoring tools, intrusion detection systems, intrusion prevention systems, anti-malware tools, and anti-denial tools.
Cloud strategy and planning has provided the organizations with the ability to enhance the performance, speed, and quality of their respective business operations and activities. With the occurrence of the security risks and threats, there is a poor impact on the business continuity and customer engagement. It is, therefore, required to include the basic and advanced steps to security to deal with the security issues and problems. These steps shall combine administrative, physical, logical and technical controls.
The use of security solutions that are available in the market will allow the organizations to achieve and maintain security in the multi-cloud environment. These solutions will provide an integrated security mechanism and will eliminate the need to deploy security measures for each of the cloud model and elements. Security concepts and requirements, such as information security, network security, and database security are now provided in a single package by the leading software solution providers while entrusting them for your digital transformations.