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4 Basic Tips for a Successful Transition to the Cloud

4 Basic Tips for a Successful Transition to the Cloud

IT managers nowadays have to deal with a wide variety of challenges that comes with migrating to the cloud. Although cloud usage has become widespread in recent years, some companies still feel that they have not yet reached the full potential of the cloud.

However, the reasons for this are easy to identify, and cloud usage can be optimized using a few basic measures. Transaction to the cloud successfully means having an experienced partner who know exactly your industry requirements and can answer the following questions before the move. Such as how large and complex is company’s data? How important are regulatory considerations? Are company’s current business applications cloud ready? How much your day-to-day operations can tolerate downtime depends on the type of the application involved and what service level agreement does the company require for a cloud environment? If the company decides to change the cloud provider in the future, can the data and applications migrate with them?

 

Once these questions are answered, IT team can choose their cloud partner who can provide a migration plan and offer a cloud customized solution. Keep in mind that performance, security and reliability must be maintained when moving to clouds. Approach the migration in smaller chunks and stay in close coordination with your cloud provider. The goal is for the entire migration to cause minimal disruptions. Here below are few basic tips for a successful cloud migration and management.

 

Prioritize security

In the cloud age, the security of IT applications plays a particularly important role. Before any move to the cloud, IT managers must go through a list of business applications and identify those that they want to migrate. Planning is the key in order to recover any disaster, risk management and other potential situations. As company’s highly sensitive data, which is also used regularly, is moved to these infrastructures or is already stored on the complex architecture of cloud infrastructures, it makes many IT managers sweat.

IBM’s Cost of a Data Breach Report 2020  has shown that despite a nominal decline from $3.92 million in the 2019 study to $3.86 million in the 2020 study, the average total cost of a data breach  was much lower for some of the most mature companies and industries and much higher for organizations that lagged behind in areas such as security automation and incident response processes.

With the right security measures, however, risks and financial losses can be significantly minimized. While you might expect it’s your cloud provider’s responsibility to take all security measures, it’s also one of the biggest responsibilities of the customer to ensure their data is secure. Here are some of the methods we recommend at Storm to keep yourself safe when using the cloud. IT managers can ensure their data is secure by using methods such as multi factor authentication, strong passwords, data encryption and regular backups.

 

Understand and Enforce your Cloud Governance Plan

When implementing cloud services, many companies fail to develop a clear governance plan from the start and then consistently adhere to it. Governance, may be defined as an agreed-upon set of policies and standards, which are based on a risk assessment and inclusive of audit, measurement, and reporting procedures, as well as enforcement of policies and standards. Most security leaks in the cloud are due to weak corporate governance practices. In a multi-enterprise or multi-platform cloud environment, a lack of governance can not only lead to the loss of highly sensitive data, but also to considerable financial losses.

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Therefore, from the start, companies must not only establish and implement chains of responsibilities, authority and communication to empower people but also establishing measurement, policy and control mechanisms to enable people to carry out their tailored roles and responsibilities towards the respective cloud infrastructure.

 

Prepare your IT teams for cloud

Another challenge that IT departments have to face is the lack of knowledge of employees on the subject of cloud infrastructures. Just like any new technology, your employees need to learn specific skills that allow them to successfully work with the cloud solutions you plan to integrate.  For IT departments, the switch to cloud computing requires not only a different skill set but a different mindset. In order to take all the benefits cloud has to offer, it’s impossible for companies to dive into it without prior training and intelligent strategy. A proper training has a significant impact on cloud adoption, and this is especially true for organizations that invest in more comprehensive training. Once employees undergo training, they can understand where their skills fit and where they can contribute.

 

Optimize the cloud performance

Performance optimization is one of the main reasons why companies switch to the cloud in the first place. Performance optimization on key areas including scalability, concurrency, response time and throughput optimization can help you run better on Cloud. In this optimisation company can correctly select and assign the right resources to a workload or application. Simply put, cloud optimization can help you reduce cloud infrastructure cost and improve your application performance. Once the workload performance, compliance, and cost are correctly and continually balanced against the best-fit infrastructure in real time, efficiency is achieved.

 

Conclusion

The change to the cloud does not happen overnight, nor does it happen with the flick of a finger. You have to invest time, resources, and fund to migrate your applications and data to the cloud successfully. Security risks, a lack of governance, a lack of expertise and performance problems are all challenges that discourage many companies from taking this step. However, as long as companies take a few basic measures, they are well on the way to a successful and secure migration to the cloud.

 

Source :

Cost of a Data Breach Report 2020

What is Edge Computing and why does it matter for the Internet of Things

 

What is Edge Computing and why does it matter for the Internet of Things

Possibilities are that you have already heard the term “edge computing” as many organizations use it in their daily business when it comes to handle, process and deliver data from millions of devices around the world. Multiple definitions of edge computing can be found on the internet, but I like the one from Gartner.

 

Gartner defines edge computing as “a part of a distributed computing topology in which information processing is located close to the edge – where things and people produce or consume that information.” “The emerging category of edge computing has been steadily rising in importance and maturity, and 2020 will be the most interesting year yet for vendors and users in this exciting space,” Forrester  said on Forbes.

 

The IoT is having a significant role in the digital transformation of organizations and industries. The explosive growth of IOT, mobile computing along with new applications that require real-time computing power, either to receive information from the cloud or deliver the data back to the cloud are the main reason of edge-computing systems’s growth.

The amount of data generated by digital devices is escalating day by day as 127 new IoT devices are connected to the web every second. The installed base of active Internet of Things connected devices is forecast to reach 21.5 billion units by 2025. IoT applications important growth place challenging demands on the IT infrastructure. It requires the lowest latency with the highest scalability, reliability and availability. This explains the fact that edge computing has become a special and increasingly important discipline within a network infrastructure.

 

One of the biggest benefits of edge computing is the ability to process and store data faster, enabling for more efficient real-time applications that are critical to companies. As the distributed, open IT architecture of Edge Computing processes a lot of data in real time directly on site and thus drastically reduces the bandwidth requirements and the latency times that inevitably arise during data transmission and data processing in a data center. And regardless of whether an in-house or a cloud data center is used.

 

At the same time, the high and constantly growing data volume and the increase in critical applications at the endpoints (edge) mean that the quality features typical of a data center such as scalability, reliability and high availability are also indispensable for edge infrastructures. Therefore, edge computing and the IOT are the perfect match for several reasons.

Apart from simplifying the data processing at the edge of a network, close to the sensors, and thus avoids the issues of sending all the data directly to the cloud, edge computing in the IoT environment is characterized by these four advantages compared to cloud and data center-centered approaches:

 

Speed

The longer it takes for data to be processed, the less relevant it becomes. Not only, edge computing reduces the total volume of data traffic and thus increases the performance of applications and services, but also makes latency-sensitive applications possible, for example autonomous driving, which would not be possible with data center-based data processing or in areas with insufficient network coverage.

 

Security

The number of IoT devices is constantly growing. This makes them increasingly targets for potential network attacks. Due to the centralized structure, cloud computing is vulnerable to DDoS attacks and failures. Edge computing, on the other hand, distributes applications and processes across different devices, making it much more difficult and complex for attackers to infiltrate the network. Edge computing can also filter sensitive information and, if necessary, only transmit uncritical data in order to meet security and compliance requirements. This means that less data can be intercepted, which makes compliance with security standards easier.

 

Cost

By its nature, the edge is closer to the IoT device than the core or cloud. For IoT use cases, connecting thousands or even millions of devices directly to the cloud is often not feasible due to costs, privacy, and network issues. But, with edge computing, the data can be filtered at the point of origin and does not have to be sent to a data center. Companies therefore have the choice of using the perfect mix of local services and cloud-based applications for a cost-effective IoT solution. Data processing and storage in edge devices reduces the expensive bandwidth requirements and thus optimizes the overall costs.

 

Scalability

Edge computing enables companies to expand their capacity requirements at any time and efficiently by combining IoT devices and edge data centers. The use of edge devices optimizes the scaling costs because processing is decentralised and each additional device is associated with a far lower bandwidth with less load placed on the network.

 

Source :

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Cloud Computing Adoption in 2020

All Cloud 2020 Cloud Infrastructure Report xorlogics

According to a report from Forrester cloud adoption meant to accelerate and change the enterprise landscape entirely, transforming the cloud from being “a place to get some cheap servers or storage, to being shorthand for how companies turn amazing ideas into winning software – faster.” This statement fits perfectly with AllCloud’s finding that 85% of organizations expect to have the majority of their workloads on the cloud by 2020.

 

A study from Flexera 2020, in which a total of 750 global cloud decision-makers and users about the public, private and multi-cloud market participated from around the globe, also confirms that Cloud spend is rising as organizations adopt multi-cloud strategies and put more workloads and data in the cloud.

According to the AllCloud study more than 70% of IT professionals said half their companies’ IT workloads are in the cloud now, 85% expect to have the majority of their workloads on the cloud by 2020, and more than 23% will be cloud-only.

 

Here below are the highlight of the report on how organizations are progressing in their journey to cloud. It’s important to know that the survey began in the first quarter of 2020 = during the early phase of COVID19.

 

cloud 2020 xorlogics flexera

 

Multi-Cloud success within Enterprise:

Many organizations silo applications within a given public or private cloud, with 41% integrating data between clouds. 93% of enterprises have a multi-cloud strategy and 87 % have a hybrid cloud strategy.   Only 33% of all participating organizations use multi-cloud management tools. Respondents use an average of 2.2 public and 2.2 private clouds.

 
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Public Cloud adoption within Enterprise:

20% of participating enterprises spend more than $12 million per year on public clouds. The top three public cloud providers remain AWS, Azure and Google. Azure is narrowing the gap with AWS in both the percentage of enterprises using it and the number of virtual machines (VMs) enterprises are running in it. 40% of enterprise AWS users spend at least $1.2 million annually versus 36% for Azure More than 50% of enterprise workloads and data are expected to be in a public cloud within 12 months. 59% of respondents who answered a question about COVID-19 expect cloud use to exceed plans due to the pandemic. The top challenge in cloud migration is understanding application dependencies.

 

Top Challenges of Cloud adoption:

83% of enterprises indicate that security is a challenge, followed by 82% for managing cloud spend and 79% for governance. For cloud beginners, lack of resources/expertise is the top challenge; for advanced cloud users, managing cloud spending is the top challenge. Organizations are over budget for cloud spend by an average of 23% and expect cloud spend to increase by 47% next year. 56% of organizations reported that understanding cost implications of software licenses is a challenge of software in the cloud. Organizations aren’t taking advantage of all cloud provider discounting options, but are beginning to leverage automated policies to shut down workloads after hours (51%) and rightsize instances (49%).

 

Source:

Flexera 2020 State of the Cloud Report

All Cloud : 2020 Cloud Infrastructure Report

 

Is Your Public Cloud Data Secure?

Is Your Public Cloud Data Secure?

 

With advancing digitalization, business requirements are also developing rapidly. The rise of cloud applications shows no signs of slowing down. More and more organizations continue to adopt cloud computing at a rapid pace to benefit from increased efficiency, better scalability, and faster deployments. According to a report by Linker, the global public cloud computing market is expected to reach $623.3 billion by 2023. The rapid provision of business applications for the introduction of new, improved business processes is central. Many companies consider outsourcing workloads to the public cloud as a priority. High availability, scalability and cost efficiency open up the possibility of implementing innovative operational developments with little effort.

 

As more workloads are shifting to the cloud, cybersecurity professionals remain concerned about the security of data, systems, and services in the cloud. the public cloud exposes business to a large number of new threats. Its dynamic character makes that relying on traditional security technologies and approaches isn’t enough. Therefore, many companies have to rethink the risk assessment of the data stored in the cloud.

 

While moving their workloads into public cloud, companies think that their business is automatically protected. Unfortunately, this security is not certain. Amazon, Microsoft and Google do indeed partially secure their cloud, but it is not their core business or priority. So, in order to cope with new security challenges, security teams are forced to update their security posture and strategies.

 

A report by RightScale shows that average business runs 38% of workloads in public and 41% in private cloud. Usually, enterprises run a more significant part of their workloads in a private cloud (46%) and a smaller portion (33%) in the public cloud. Small to medium businesses, on the other hand, prefer to use a public cloud (43%), instead of investing in more expensive private solutions (35%).

The cloud computing statistics also show the public cloud spend is growing three times faster than the private cloud usage.

 

For this survey 786 IT professionals were questioned about their adoption of cloud infrastructure and related technologies. 58% of the respondents represented enterprises with more than 1,000 employees. For majority of them, more than 50% of enterprise workloads and data are expected to be in a public cloud within 12 months. More than half of respondents said they’ll consider moving at least some of their sensitive consumer dataor corporate financial data to the cloud.

 

Even tough public cloud adoption continues to accelerate 83% of enterprises indicate that security is a is one of the top challenge, followed by 82% for managing cloud spend and 79% for governance.

Workloads and data in a public cloud for all organizations

 
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Securing the environment in the cloud is one of the biggest challenge or barrier in cloud adoption. If companies want to protect their data in the cloud, they must ensure that the environment is used safely. This requires additional measures at different levels:

 

Secure access with Identity and Access Management (IAM)

 

As the data stored in cloud can be access from any location and any device, access control and whitelisting are among the first and strongest measures to safeguard your cloud. Managing people, roles and identities is primordial in cloud security.

In most companies, user rights for applications, databases, and content are maintained manually in separate access lists. Regulations for dealing with security-relevant technologies are also kept in other places. The lack of automation and distributed access management prevent identity or context attributes that are needed for dynamic Identity and Access Management (IAM) from being considered.

Building an identical repository with clearly defined type of access for each user identity and strict access policies is therefore the first step in the dynamic handling of access rights. For example, it can be specified that employee X login is only permitted from certain geographic locations by secure network connection to access only a selected numbers of files.

While these policies can be managed by different individuals with appropriate authority in the organization, they must exist in a single, reliable, and up-to-date location – across all resources, parameters, and user groups.

 

Data loss prevention (DLP)

 

As data is one of your organization’s most valuable assets, protecting it and keeping it secure must be one of your top priority. In order to accomplish this, a number of DLP controls must be implemented in all cloud applications at various levels and allow IT administrators to intervene. «DLP (Data loss prevention) is the practice of detecting and preventing confidential data from being “leaked” out of an organization’s boundaries for unauthorized use. Data may be physically or logically removed from the organization either intentionally or unintentionally. »

 

Data Encryption

 

Sensitive data may not be transmitted through public networks without adequate encryption. Therefore, one of the most effective cloud security measure that you can take is to encrypt all of your sensitive data in the public cloud. This includes all type of data such as the data at rest inside the cloud and archived and backed-up data, or the data in transit as well. This allows you the complete protection in case of any data exposure, as it remains unreadable and confidential based on your encryption decisions. By encrypting properly data, organizations can also address compliance with government and industry regulations, including GDPR.

Machine Learning and Data Protection in the Cloud

Machine Learning and Data Protection in the Cloud

 

As more organizations are shifting infrastructure and services to the cloud, more are adopting a multi-cloud strategy. In fact theworldwide public cloud service market is expected to reach $623.3 billion by 2023. 83% of enterprise workloads will be in the cloud by 2020 and 94% of enterprises already use a cloud service.

 

These numbers show that most companies are already using cloud solutions in one form or another. In addition to the many advantages that the cloud can offer, it also increases the attack surface. Cloud growth creates new security threats, and organizations are struggling.

To guarantee a high level of security in the cloud, modern security solutions with machine learning, analytics and automation can help. Machine learning has already taken a massive increase in adoption over recent years and many businesses have already started to plan or have already developed machine learning models for security purpose.

 

Most IT departments are well equipped and informed with ensuring local network security. But how this really works in detail in the cloud is still relatively unfamiliar in many organizations. In addition, many business are already busy with securing their existing infrastructure, thus securing cloud infrastructures can be ignored or forgotten. What many businesses underestimate is that even complex hybrid infrastructures can be secured with advanced technologies that use machine learning, with a manageable cybersecurity budget.

 

In almost all industries, the cloud is already being used as an effective extension or replacement for some of the data center resources. And if you are not yet in the cloud, you are probably planning this step at the moment. But before moving to the cloud, make sure that critical security and regulatory questions are answered. As companies who adopt a multi-cloud strategy need visibility across it all to prevent downtime and to stay ahead of hackers.

 

Cloud-related threats are at an all-time high

 

It is not surprising that cloud-related threats keeps increasing, and there is no reason to believe that this will change in the near future. According to the recent study by the Ponemon Institute, the average cost of a data breach worldwide now equals $3.86 million – $148 per compromised record. However, the numbers vary greatly from country to country. In addition to that, a recent Skyhigh Networks study found that every organization operating in the cloud had almost two security incidents each month. These include: inside threats (both accidental and malicious), privileged user threats, compromised accounts, or data exfiltration. This shows that data is fundamentally endangered regardless of the storage location. Contrary to the often erroneous assumption, the provider of the cloud is never responsible for securing corporate data. For example, AWS states that they are responsible for the security of the cloud, but their customers for security within the cloud. Responsibility thus falls into the IT security of the companies using it, which often does not have the right personnel or know-how to guarantee security in the cloud.

Along with other challenges, IT security teams have a dual mandate to secure data in cloud services procured and managed by their organizations, as well as corporate data that employees upload to cloud services that they find and use on their own.

 

What specific steps can you take in this case to ensure security in the cloud as well?

 

A robust cloud security program includes technologies to protect, detect, investigate and respond to security incidents. The most effective cloud security technologies are data encryption, network encryption and SIEM (Security Information and Events Management). With the exception of SIEM, most technologies focus primarily on protecting and building a defense. However, next generation SIEMs also include proactive monitoring, analysis to improve detection and Reporting and forensics about security incidents, investigation and response to security incidents along with alerts based on analytics that match a certain rule set, indicating a security issue.

This makes the latest generation of SIEMs the ideal solution to secure hybrid environments. SIEM tools work by collecting and aggregating logs, reports and alerts from all of your security tools and solutions. These tools then present this information in a centralized location, by improving visibility and speeding incident analysis and response.

 

Machine learning key to securing data in the cloud

 

Fact that hackers are growing in sophistication and their malware is evolving quickly and continuously, enterprises must adapt a robust data protection strategy. Terms such as “data science” or “machine learning” started long ago as buzzwords in the IT industry. For some time now, however, the clever algorithms have been helping to recognize patterns in many areas and are already doing so in IT security. Many companies in numerous industries are currently facing the challenge of securing existing or future infrastructures in the cloud. Already used in speech recognition software and ERP systems for data management, the clever algorithms of machine learning are now being leveraged in cloud security solutions in order to enable enhanced threat detection and real-time security.

 

Next-generation machine learning algorithms are ideal for today’s cloud security because large data volumes are the most important condition for their reliability. These ‘intelligent’ solutions are able to take in high volumes of data from high-traffic environments andperform an extensive property and behaviour analysis to detect threats and take the appropriate actions in a variety of scenarios.

Therefore, the use of machine learning is the logical response to the growing amount of data and the ever-evolving threats found in the cloud. Machine learning solutions are helping organizations to secure data and enabling them to securely adopt any cloud application, despite advanced malware.

 

Sources:

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IT Trend 2020: Future of Cloud Computing and Experts Predictions

 

2010 defined Cloud computing’s past, present, and future when technology giants Microsoft, Google and Amazon Web Services launched their cloud platforms. It went from “what is cloud” to “where and when can we use it for cost-cutting options” to “why not cloud”? And there’s no doubt that even in 2020, it’ll be one of the key innovations that will be the subjects of countless business and technology discussions.

 

Evan Kaplan, CEO, InfluxData

Cloud Is the Future Business Model for Open Source Companies

“The coming year will show that cloud-based applications are the winning monetization strategy for open-source software companies. While the first generation of companies that developed open-source software tried to use a paid customer support and training model, the last couple of years have shown that to be unsustainable. In 2020, pay-per-use, cloud-based services will take hold as the leading business model for open-source companies. As enterprises increasingly focus on agility and time-to-value, cloud-based services can deliver speed and scalability for customers that are willing to pay and by extension they offer a source of revenue for software companies that want to develop and monetize open-source technology.”

 

Here below is a list of trends that will (re)shape the cloud in 2020 along with the experts predictions for cloud 2020 and beyond:

 

 

  • Public cloud adoption: The buzz around cloud gives impression that everyone has adopted the cloud. This is almost true if we refer to consumer tools, such as email or online file storage, but it is much less so for businesses. In reality, 94% of enterprises are already using a cloud service and according to Gartner’s forecast, the public cloud service market is expected to reach $623.3 billion by 2023 worldwide with 83% of enterprise having their workloads in the cloud by 2020. Means cloud was already a huge deal in 2019 and it’s only going to grow in numbers!

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Vadim Vladimirskiy, CEO, Nerdio

Public Cloud Adoption Will Rise Thanks to Managed Service Providers

“Public cloud adoption will continue to rise as a result of MSPs seeking a more secure IT environment, as it’s currently a top concern causing them to rethink the continued feasibility of their practice and offerings. Public cloud is a huge comfort here because if MSPs store their data and apps with someone like Microsoft – they get the work and knowledge of thousands of people who are dedicated solely to security.

 

  • Multi- cloud adoption: In order to offload the burdens of compliance, more and more companies are looking for solutions that serve the needs of their specific industry. Therefore, public and private clouds and data centers are brought together in a multi-cloud approach to offer an unprecedented level of service and efficiency. According to Gartner, more than $1.3 trillion in IT spending will be directly or indirectly affected by the shift to cloud by 2022.

 

Karthik Ranganathan, Founder and CTO, Yugabyte

Multicloud Deployments Will Accelerate

“Multi-cloud deployments are becoming the norm in today’s enterprise. In 2020, this trend will continue to accelerate. A multi-cloud approach is critically important for organizations that run on-premise, since they need to stay in a hybrid mode when moving microservices to the cloud. As a result, we expect to see enterprises widely embrace distributed SQL databases to ensure agility without the availability constraints of traditional monolithic databases, like Oracle.”

 

David Linthicum, Chief Cloud Strategy Officer, Deloitte Consulting

Public Cloud Providers Will Need to Adopt to Multicloud

“In 2020, I also believe we’ll see public cloud providers finally accept that they will most often be deployed as part of a multi-cloud architecture. Thus, we’ll see native public cloud tools that will be focused on managing, securing, and governing several cloud brands, all from a single cloud brand. At the end of the day, this can provide public cloud providers with a key advantage that they are able to exploit to grow the use of public cloud in general. Who will be first?”

 

 

  • Hybrid- cloud adoption: In order to extract maximum benefits from using both a private cloud and public clouds, many organizations are adopting hybrid clouds. As it’s linked to the public cloud, and allows organizations to switch back and forth between their own tools, and the tools offered by various cloud providers, improves speed and flexibility. A survey from IDC has demonstrated a growth of 7% in 2019 – 58% in 2019 up from 51% 2018, of organization using a hybrid strategy. The hybrid strategy will continue to grow in 2020.

 

Haoyuan Li, Founder and CTO, Alluxi

The Rise of the Hybrid Cloud

“We’ve been hearing people talk about the hybrid cloud for the past three years now. And for the most part, that’s all it’s been – talk. 2020 is the year it gets real. But first, what does hybrid cloud actually mean? Red Hat defines hybrid cloud as “a combination of two or more cloud environments—public or private.” We are seeing large enterprises refusing to add capacity on-prem to their Hadoop deployments and instead invest in the public cloud. But they are still not willing to move their core enterprise data to the cloud. Data will stay on-prem and compute will be burst to the cloud, particularly for peak demands and unpredictable workloads. Technologies that provide optimal approaches to achieve this will drive the rise of the hybrid cloud.

 

Wally MacDermid, Vice President of Cloud, Scality

Hybrid Cloud Will Become the Dominant Architecture for Enterprises

“Microsoft Azure (Azure Arc, Azure Stack Hub, Azure Stack Edge), Amazon Web Services (AWS Outpost, VMware on AWS) , and Google (Anthos, Google Kubernetes Engine) are all investing heavily not only in solutions that connect on-premises infrastructure to their own public clouds, but also in cross-cloud interoperability and management. This blurring of lines between vendors and technologies is an excellent development for enterprises who are looking not to be locked into a single vendor, but for the best technology to solve specific business problems.”

 

  • Edge Computing adoption: The cloud is designed in large centralized data centers, and companies that need almost instant access to IT resources and data are turning to a new distributed cloud infrastructure called edge computing. Edge computing is a “mesh network of micro data centres that process or store critical records locally and push all received records to a central data centre or cloud storage repository, in a footprint of less than 100 square feet,” according to research firm IDC. Technically, it’s winning its game around data processing by refocusing the flows on the most important data in order to reduce the latency to approach real time. It is also the infrastructure of choice for another revolution, the IoT, as with the advancement in IoT, artificial intelligence, a new concept is coming in the market i.e., smart city initiatives that support the implementation of edge computing. Previously valued at USD 1,704.75 million, The edge computing market is expected to reach USD 9,325.33 million by 2025, registering a CAGR of 34. %, during the forecast period of 2020-2025.

 

Aron Brand, CTO, CTERA

Edge Computing Will Go Mainstream

“2020 will mark a notable shift in enterprise IT as the dawn of a new era of edge computing arises. The first-generation model of centralized cloud computing and storage has now run its course, and most of the new opportunities for enterprise data management reside at the edge. […] Such data growth outside the datacenter is the new reality, and it’s creating a need for enterprises to deploy computing power and storage capabilities at the network edge, aka edge computing. Enterprises are already investing in edge computing to move faster, to have data continuously available, and to improve data security. As edge computing goes mainstream in enterprise IT in 2020, edge-to-cloud architectures that manage data centrally while making it instantly available to users at the edge will be a key enabler for business success.”

 

 

 

 

Sources:

 

Pros of a Multi-Cloud Strategy

Multi-cloud Popularity

Did you know that 77% of enterprises have at least one application or a portion of their enterprise computing infrastructure in the cloud? Did you also know that enterprises are increasingly putting money in the cloud and 15% of them intend to adopt cloud apps and platforms in the next 12 months? This is according to the Cloud Computing study conducted by IDG in 2018.

 

With the rise of tech, even an ordinary individual like us uses the cloud, especially when we’ve to manage photos, files, and documents on various websites and apps such as dropbox, iCloud etc. Business-wise, though, 77% of enterprises are using cloud apps, platforms, and services, as mentioned above. Enterprises have different use cases of cloud computing but there are those who go beyond the ordinary use cases. These innovative companies conduct cloud management, by using public, private, and hybrid clouds, to drive growth and to adapt to an ever-changing technological landscape. In addition to that,Multi-cloud concepts are on the rise as companies seek more choice about the best place for their data and workloads.

 

Before understanding a multi-cloud strategy, it’s recommended to differentiate different type of clouds, such as, public, private and hybrid.

 

A public cloud is provided by companies like Amazon, Microsoft, Google, and IBM and t you can pay on a subscription basis or on a pay-as-you-go model. A private cloud, on the other hand, is for the use of a single company only. It is designed for the unique infrastructure of an organisation and for its use case and can be deployed on-premises or in data centres that offer colocation services. Lastly, the hybrid cloud is a combination of at least one public and one private cloud services. They are unique entities but are connected with different technologies.

 

Multi-cloud concepts are on the rise as a growing number of companies seek more choice about the best place for their data and workloads in order to meet various business and technology requirements because no single cloud model can fit the diverse requirements and workloads across different business units. The multi-cloud is more than just the parallel use of multiple clouds. It’s a comprehensive strategy to make the most of each of the available cloud technologies. Since many companies already use different cloud technologies, the question arises of how to bring these technologies under one umbrella. IT teams are looking for ideas, strategies and solutions to take the next step towards a unified multi-cloud.

 

So, In the process of cloud adoption, here below are few tips of what IT teams should consider to take full advantage of the flexibility of the cloud to adopt a multi-cloud strategy with the help of three key technologies that are important in building a multi-cloud environment.

 

As legacy tools aren’t compatible for work in new multi-cloud environments, it’s is necessary to adopt new solutions to give organisations the freedom to move to, from, and between any combination of clouds, and by far the main benefit of creating a multi-cloud infrastructure is that it provides enterprises with the flexibility needed to innovate at speed.The reason for this is that it doesn’t tie them to the specific set of services provided by various individual cloud providers. As a result, the way an enterprise chooses to innovate is its own.

 

However, using software and tools that are not specifically designed for multi-cloud scenarios can be an incredibly frustrating process that completely rejects the benefits of the multi-cloud. To effectively implement a true multi-cloud strategy, organisations should not seek to integrate legacy tools into their new environments. Instead, they should introduce new solutions that are focused on the future. There, the majority of businesses use more than one cloud platform to keep their workloads and data in the ideal place while fully protecting it.

 

The multi-cloud offers great benefits for businesses that can get the most value from any platform but at the same time, it brings new challenges of removing barriers to data and cloud storage management. To maximize the benefits and meet the challenges, organizations need a scale-out storage solution that bridges the gap between local and cloud environments and allows users to combine data in private and public clouds around the world as a single unified management. This allows users to store, protect and search data from a management interface, regardless of where the data is physically located.

 

Opting for multi-cloud solutions means opting for a cost saving strategy. As each cloud provider offers different storage options at different price packages, companies can easily meet workload performance requirements at a very interesting price. In addition to that, having a multi-cloud is also beneficial to avoid any vendor lock-in.

 

No doubt that a multi-cloud strategy allows organisations to create the best cloud solution for their business by taking advantage of the best of what each cloud offers, minimises vendor lock-in, and provides more opportunities for optimization.

 

Sources:

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Unlocking the Potential of Modern Hybrid Cloud Infrastructure

The Continued Growth in Private Clouds

We live in a world where information technology is embedded everywhere, and every device is in some way, shape, or form connected. Digital transformation is changing every industry with the use of new-gen platforms and technologies by enterprises to create value and competitive advantage through new business models and new relationships. The IT market is becoming dominated by tools that have the ability to easily migrate workloads between on-premises and public cloud. This is the main reason companies choose hybrid IT infrastructure, proven by a recent report “2019 State of the Cloud Report: See the Latest Cloud Trends“.

 

Cloud computing has matured to the point where it has become an indispensable part of the modern IT landscape and a central component in the IT strategies of most enterprises. While it is clear that all forms of cloud computing are on an accelerated growth, hybrid cloud is particularly in the spotlight. Today the term hybrid IT is often misused to represent the combine usage of private and public cloud, without a well thought strategy. The result is often diverse and unpredictable, and success differs from company to company and industry to industry as each enterprise works with different management model, application architectures, storage and data services. These differences can limit the ability to easily move enterprise and cloud-based applications to where they are needed.

 

In order to create an effective, modern hybrid IT infrastructure, businesses need to define their own Hybrid Cloud Strategy. Before any investment or any step towards cloud, they must question clearly what strategies they need to implement for a genuine hybrid cloud including hybrid infrastructure and multi-cloud where different IT professionals, customer and vendors will be working together.

 

By answering this question, you can calculate which of these options are less valid or valuable to your business. Each of the options can be used to build an effective and sophisticated platform, depending on the needs of your organization. The critical factor is making sure that hybrid cloud works for your organization. No two businesses are alike. Similarly, there is no reason why any two hybrid cloud strategies should be identical either. You can define what hybrid cloud means within the context of your business or organization. Here are some of the key questions that need to be answered:

 

  • Do we have a thorough picture of our current landscape?
  • Which applications need to move to the cloud – and what cloud environments suit them?
  • Why are you pursuing a hybrid cloud strategy?
  • Do you know what migration is going to cost you?
  • How much will your organization benefit from hybrid cloud? Think about the ROI
  • What must it deliver in order to meet your business goals?
  • Which workloads, applications, systems and infrastructure will it need to support?
  • How much flexibility and agility will it need so that you are ready to respond to future change and challenges?
  • How secure is the data stored on cloud? Where are the less obvious vulnerabilities in hybrid cloud environments?

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These are important considerations. The best strategy for successful deployment in the cloud requires assembling knowledgeable IT staff, which may involve some continuing education. Making your internal deployment groups and your external cloud service provider part of the process is also key to a successful migration.Most importantly, asking the right questions before will save you from uncomfortable situations later. Therefore the right hybrid cloud strategy, one that is appropriate and tailored to the requirements of your business, will help deliver the next level of productivity, agility and customer experience needed for success in today’s digital economy.

Trends of Database Management

 

The world of data is constantly changing and evolving every second and has created a completely new dimension of growth and challenges for companies around the globe. Databases allow for data to be stored quickly and easily and are used in many aspects of your daily life. From your grocery store, bank to your favorite clothing store, all use databases to keep track of customer, inventory, HR and accounting information. Also, this article is stored in a database and its content is retrieved and displayed in your browser.

 

Classic databases can no longer meet the growing demands of the market. Businesses need a new kind of database to develop mission-critical applications and services for the evolving digital economy. Business requirements center on short response times with a large number of users, high scalability, flexibility, availability and access to structured but also unstructured data. With traditional databases, they can no longer meet these requirements, so organizations are increasingly turning to NoSQL database technologies based on a non-relational approach.

Consumers Are Increasingly Researching Purchases Online

According to the eCommerce Foundation’s, 88 % of consumer pre-research their buys, products or services, online, in order to compare the price, before making a purchase either online or in-store. Also, e-commerce in the B2B sector continues to grow. A good database system can help you manage all your business-critical data centrally, safely and securely – whenever you need it – to boost your chances of success.In addition to a high level of user-friendliness and customer satisfaction with short reaction times, the requirement in the online business is that the database supports customer behavior in the form of catalog management, customer profile management and content management.

Better management of HR, Customer data

By using a HR database, you can streamline most of the HR tasks, automate routine jobs and speed up the processing of data such as staff hours, leave, benefits, payroll, etc. This can leave you more time and money to focus on growing your business. A good customer and staff relationship is a KPI of your business growth. Therefore, a good CRM database is powerful enough to store and process everything, from customer contact details, interaction history and accounts, to new prospects, leads and business opportunities.

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Right Database for Your Internet of Things System

With the growth of Internet of Things (IoT), IoT architectures increasingly require data processing, analytics and storage at the network edge. Internet of Things links billions of sensors, machines, and devices of all kinds. Whole industries, such as the automotive and engineering industries, healthcare, smart cities are digitized. The resulting data must be processed quickly. NoSQL databases are being used for IOT as they can take a variety of forms and allow you to store and manipulate large amounts of unstructured and semi-structured data.

Mobile Databases

With the emergence of mobile computing the corporate information system also includes notebook computers and other portable devices. More and more people are using mobile platforms – whether smartphones, tablets or smart watches. Similar to desktop computing users, mobile users need access to information stored on corporate database servers. Key requirements for mobile databases include support for multiple mobile platforms with a single backend, synchronization of mobile data with remote databases in the cloud, and the creation of Offline first applications that do not require a network connection.

Cloud computing and Database expansion

The growth of data-driven enterprises is enforcing data administrators to deliver high-performing and responsive systems that can scale with the business. The ability to scale on demand and run large scale applications requires an agile IT infrastructure. They need databases that can deal with growing demands of businesses for real-time, analytical capabilities, incorporating data-driven initiatives such as the Internet of Things and artificial intelligence. Data administrators are responding and keeping up with these requirements through a combination of cloud resources and automation. To save costs and increase flexibility, more and more organizations are looking for distributed applications that run on bare metal servers, in virtualized, containerized, private, public, or hybrid cloud environments.

 

We can conclude that in order to fulfil business demands, database technologies used for information management are been rapidly evolving from traditional relational database management systems to MPP-based appliances, because an MPP database is a database that is optimized to be processed in parallel for many operations to be performed by many processing units at a time.

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