WHAT TO EXPECT FROM AWS RE:INVENT 2021

Posted on November 25, 2021December 2, 2021 by Idexcel Technologies

AWS re:Invent 2021 is an Amazon Web Services annual technology conference scheduled for November 29 through December 3 in Las Vegas, Nevada. This is the largest annual Amazon Web Services (AWS) conference for partners and customers. The event is scheduled to include 1,500 technical sessions, a partner expo, training and certification opportunities, and multiple keynote announcements. Also, AWS re:Invent 2021 is dedicated to cloud strategies, IT architecture and infrastructure, operations, security, and developer productivity with a focus on AWS products and features. Irrespective of whether you are an engineer, a business leader, or just embarking on the cloud journey, this is an opportunity to discover everything the event has to offer. As an AWS Advanced Consulting Partner and Managed Service Provider (MSP), Idexcel is much excited and looking forward to this event.

Key Note Sessions

Keynote Session 1: Global Partner Summit – November, 29 (3:00 PM – 5:00 PM PST)

Doug Yeum – Head of AWS Partner Organization: Yeum is currently AWS’ head of worldwide channels and alliances. His responsibilities included engaging with c-level executives about their digital transformation and innovation strategies, developing business through channels & alliances, and managing business operations.

Sandy Carter – Vice President for Worldwide Public Sector Partners and Programs at AWS: She is responsible for driving next-generation partnering and evolving partner models to intensify partner innovation and AWS Cloud adoption.

Stephen Orban – General Manager of AWS Marketplace and Control Services: Orban formerly served for three years as general manager of AWS Data Exchange, a service launched in 2019 that makes it easy for AWS customers to find, subscribe to, and use third-party data in the cloud through Marketplace.

Keynote Session 2: AWS Customers, Products, & Services – November, 30 (8:30 AM – 10:30 AM PST)

Adam Selipsky – AWS CEO: Adam would take the stage to share his insights and latest news about AWS customers, products, and services.

Keynote Session 3: Databases, Analytics, & Machine Learning– December, 01 (8:30 AM – 10:30 AM PST)

Swami Sivasubramanian – Vice President at AWS: Heading up all Amazon AI and Machine Learning services and leading on all aspects of Machine Learning, from ML frameworks and infrastructure to Amazon SageMaker and AI services.

Keynote Session 4: AWS & Cloud Infrastructure – December, 01 (3:00 PM – 4:30 PM PST)

Peter DeSantis – Senior Vice President of AWS Global Infrastructure and Customer Support: Leading the AWS teams responsible for designing the data centers, servers, and network that underpin AWS services and for deploying and operating this infrastructure worldwide.

Keynote Session 5: Future of Software Development – December, 02 (8:30 AM – 10:30 AM PST)

Dr. Werner Vogels – Chief Technology Officer at Amazon.com: Dr. Werner is responsible for driving the company’s customer-centric technology vision and is one of the forces behind Amazon’s approach to cloud computing.

Offerings of re:Invent 2021

Here is a lineup of some of the expanded offerings of the event that you may want to check out:

Presentations

Keynotes from AWS on cutting edge-technology and industry trends
Leadership Sessions on a range of hot topics
Breakout Groups and Q&A Sessions
Expert Learning Lounges
Builders’ Fair with Presentations and Question & Answer Sessions
AWS Product Announcements

AWS Training & Certification

Exam Readiness Sessions
Remote Certification Examinations
Hands-on Labs & Bootcamps

Hands-on Learning & Fun

AWS DeepRacer Competitions
Jams, Game Days & Hackathon
Virtual Play Events

Performances & Entertainment

Cooking Demonstrations
re:Play – a Live Concert by a National Act

Our AWS re:Invent 2021 Predictions for ML Services

Release of new generation ec2 instance for faster Machine Learning Training and Inference, which will offer a better Price-Performance Ratio.
Amazon Textract will soon penetrate the market by providing extraction solutions that are domain-specific, covering specific types of document extraction solutions. We may see examples of specific types of documents that will be extracted.
As we are in the midst of guiding ourselves through the pandemic, we will be aware that 2020 was a big year for medical image processing, particularly for chest x-rays. In this regard, we are expecting Amazon to announce a service similar to “Lookout For Vision” which will be used for anomaly detection, specifically focused on radiology-based images.
An enhancement to Amazon Health Lake is expected to augment patient tracking and management.
With the recent acquisition of Wickr, improvements in Lex are likely to be out later this year or early next year.
A range of Automation options within AWS Service is likely to be announced.
Furthermore, we look forward to big announcements of several incremental improvements to Amazon Rekognition service offering and additional flexibility in Machine Learning Training Models for images and videos.

Schedule a meeting with our AWS Cloud Solution Experts and accelerate your cloud journey with Idexcel.

Difference between Cloud Computing and Edge Computing

Posted on September 30, 2019October 18, 2019 by Idexcel Technologies

Cloud computing is on the rise as evidenced by CISCO, which notes that the cloud’s data is going to amount to 14.1ZB by 2020. As a result of this output, the IoT space has become the talk of the town, growing at a slow and steady pace. Cloud computing is all about making use of data from a centralized storage area.

However, despite its advantages, it also exists with its set of disadvantages. Since the cloud is responsible for handling and storing large datasets, there is often a concern surrounding its latency, which can leave something to be desired.

This is where edge computing differs from cloud, providing a better, handy solution to organizations and users alike. Let’s look at the differences between the two types of computing and further try to understand which one is better for businesses and users alike.

Edge computing vs. cloud computing

When one talks about cloud computing vs. edge computing, the main difference worth looking at is how data processing takes place. As of now, most of the data processing through the existing IoT systems is performed within the cloud, using a series of centralized servers. As a result of this, all the low-end devices, as well as the gateway ones, are used for aggregating data to perform low-level processing.

Edge computing differs as it follows a completely different approach. It moves the processing away from the centralized servers, and closer to the end users. By 2020, almost 45% of the world’s data will be stored and processed on the edge of the network, or perhaps even closer than this.

So the question arises: Why is cloud computing alone not enough?

The amount of data being processed every second is not adequately supported by cloud computing. Having spoken about latency within the cloud computing world, there is a lot that cloud computing does not provide to cloud-based applications. Given the amount of stored data within the cloud, there are two problems that transpire during the processing stage—latency in processing and high number of wasted resources. These issues exist especially in decentralized data centers, mobile edge nodes, and cloudlets.

When smart devices generate data, everything is piled on and transferred to the cloud for further processing. When this happens, the cloud’s data centers and networks are overloaded. Increased amount of latency and inefficiency can prove to be an unsurmountable challenge for cloud-based data.

Edge computing helps analyze data in a manner that is closer to the source of said data. Through this method, it helps not only to minimize data’s dependency on the app or service, but also helps speed up the processing of such data processing.

Edge computing and its finer details

The main difference between edge computing and cloud computing is that edge computing offers a flexible, decentralized architecture, which means that everything is processed on the devices itself. Instead of processing everything in the cloud, where you may find a data overload, the apps or devices are used for processing the stored data before sending it to the cloud. This means that everything is processed at a much faster pace, curbing the need to wait large periods of time for data processing.

There are two types of edge computing:

Cloud edge: The public cloud is extended to a series of point-of-presence (PoP) locations.
Device edge: When a software runs on existing hardware

The main difference between the two lies in the way they are priced, as well as their deployment procedures. The cloud edge is an extended form of the traditional cloud, which sees the cloud provider responsible for the working and maintenance of the entire model. Device edge exists primarily within the hardware, making it possible to process real-time data in a manner that is very speedy and accurate.

When thinking of edge computing, there are three ways in which the technology can be employed by and brought to end-users.

Fog computing: all the data is evenly distributed between a centralized computing infrastructure and devices.
Mobile edge computing: also known as MEC, this is an architecture that brings the cloud’s computational and storage capacities closer to the end-users’ mobile networks.
Cloudlet computing: this term refers to an infrastructure that uses smaller data centers for offloading data, bringing the cloud closer to the end-users.

Considering the benefits of edge computing, once could see why it would be favorable to choose edge computing over cloud computing. It is arguably one of the best of its kind, making it a perfect choice for people with data provision.

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How Cloud Computing is changing the Business World

Posted on June 27, 2019October 18, 2019 by Idexcel Technologies

The cloud has become an integral part of our professional lives, as the technology provides every worker with the tools to perform complex operations via the simplest of methods.

In recent years, the cloud has emerged as the most in-demand solution for companies in virtually every industry, due in part to its ability to transform existing business models. As companies’ IT needs continue expanding, there is a larger amount of data being accumulated with every passing second. Due to this growing need, businesses need to be equipped with the tools capable of analyzing this data in order unearth valuable insights from it.

While the cloud can save files and parse data, it is capable of so much more. Read on to understand how cloud computing is changing the business world.

1. Operational improvements: Growth is inevitable; as companies grow, so do their operations. Buying servers or allocating server space solely using on-premise solutions is a thing of the past. Nowadays, cloud service providers such as AWS and Microsoft Azure can help increase your storage capacity, ensuring that your data needs are always met. Cloud providers provide you with added server space, charging you based on the storage amount and time spent on the server. Through this service, companies can easily scale their business applications and operations according to demand at a lower cost than the alternative. Scaling up or down is affordable and flexible, as organizations pay for what they use. For organizations with a large amount of resources, there are a host of new applications that can benefit them immensely.

2. Deal with customer needs effectively: A solid customer support strategy is key to the success of a company. The cloud enables the creation of effective, customer-oriented apps, adding a level of personalization to customers’ app experiences. Company employees around the world can access information regarding a customer’s in-app experience. These workers can then use this information to offer that customer feedback and support relevant to the customer’s situation in real time. The cloud has essentially simplified the process of connecting employees and customers in a mobile or desktop environment.

3. Cost savings and cost reductions: Centralized data stored within the cloud allows anyone to access the same piece of information from different locations around the world. This solution helps save time when it comes to reaching a resolution surrounding an issue. Since an organization’s time is extremely precious, the cloud can help enhance productivity and save costs. In other words, workers can get more done over a shorter span of time.

4. Cost effectiveness Another factor worth considering about the cloud is its ability to lower costs. Due to the fact that a company pays for its storage space and the time spent online, there can be massive savings in terms of server rents and other associated structural costs. When it comes to traditional methods of server hosting, IT teams have often needed plenty of manpower to maintain and update these servers. With the cloud, there is no need to use too many resources for this purpose as everything is taken care of by the cloud vendors. This translates to better savings for a company as there is a lower overhead and less workers necessary to maintain the server. The responsibility of maintaining the cloud’s operations is handed over to the vendors, relieving the company of these responsibilities.

5. Security is important: Cloud providers are rapidly enhancing their services to help companies meet their security demands. We live in a word where data security has become more important than ever, especially at a time when data breaches are happening left and right. When one compares on-site servers and online servers, cloud servers will always emerge as the clear winners. Cloud service providers configure their services to meet a company’s needs, which is further enhanced with top security software and other tools to keep its data safe. All data is stored in a centralized location, which is protected with ironclad security tools, guaranteeing that there is the maximum amount of security protection for your online data.

6. Enhanced flexibility: When it comes to the cloud, there is plenty of flexibility available to the employees of a company that adopts cloud solutions to its fold. Employees located all over the world have greater mobility and flexibility to access customer-based data, which was previously not possible due to location restrictions. Everything is available online via the cloud, eliminating the need to use hard copies of the data. Storage is easier, and everything has become available, no matter the time or location restrictions.

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Data Backup and Recovery in Cloud Computing

Posted on June 21, 2019October 18, 2019 by Idexcel Technologies

The cloud has become one of the hottest topics of conversation in the world lately. Thanks to its plethora of advantages, it has become an essential part of the data storage market for organizations of different sizes in a variety of industries. When one talks about data storage, data backup and data recovery also become integral parts of the conversation as well.

Given the increasing number of recent data breaches and cyber attacks, data security has become a key issue for businesses. And while the importance of data backup and recovery can’t be overlooked, it is important to first understand the what a company’s data security needs are before implemented a data backup and recovery solution within the world of cloud computing.

1) Cloud cost: In most cases, just about any digital file can be stored in the cloud. However, this isn’t always the case as the usage and the storage space rented are important elements that need to be taken into account before choosing a disaster recovery plan. Some data plans can include the option of backing and recovering important files when necessary. They can also include options on how they are retrieved, where their storage location is, what the usage of the servers look like and more. These elements might seem trivial in the beginning, but they may prove to be important later on during the disaster recovery process. Different cloud vendors provide server space to businesses according to the their usage, and organizations need to be clear about what they are storing in the cloud, as well as what pricing tier plan they would like.

2) Backup speed and frequency: Data recovery is not the only problem on tab when considering data backup within the cloud. Some cloud providers transfer up to 5TB of data within a span of 12 hours. However, some services might be slower, as it all depends on the server speed, the number of files being transferred and the server space available. Determining and negotiating this price is an important point to consider in the long run.

3) Availability for backups: During the disaster recovery process, in order to keep a business firing on all cylinders, it is important to understand the timelines for recovering the back p data. Backups should be available as soon as possible to avoid any roadblocks that may negatively impact the business. The cloud vendor can inform you of the recovery timelines and how soon backed up data can be restored during a disaster situation.

4) Data security: The security of stored data and backups needs to meet certain security guidelines in order to prevent cyber criminals from exploiting any vulnerabilities. The cloud vendor needs to ensure the all backed up data is secured with the appropriate security measures such as firewalls and encryption tools.

5) Ease of use: Cloud-based storage comes with its own set of servers, which should be available from the business location and any other locations as needed. If the cloud server is not available remotely as well as from the business location, it won’t serve the purpose it is needed for. User experience should be an important factor in the backup process. If the procedure for data recovery and backup is not convenient, then it might become more of a hassle.

Data recovery is an integral part of the cloud computing world and it needs to be taken seriously with a great degree of planning from all ends.

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Why Enterprises Should Adopt a Multi-Cloud Strategy

Posted on March 11, 2019January 13, 2021 by Idexcel Technologies

There is no denying the fact that hybrid clouds have become one of the prominent topics of discussion within the technology industry. Since the hybrid cloud structure is all about mixing public and private cloud platforms to do an organization’s bidding, it has become the backbone of data strategy and operational processes within organizations.

By using a mix of the two cloud platforms, businesses can gain an additional level of flexibility within their day to day operations. While hybrid might seem like it is here to stay, it’s not the only cloud trend which is doing the rounds of tech circles. Multi-Cloud strategies are also trending high on the grapevine, as more than 79% of companies have already started using this concept. As the hybrid cloud concept is setting the pace, the multi-cloud model is racing its close competitor.

As the name suggests, the term ‘multi-cloud’ refers to the use of multiple cloud vendors across the business’s architecture, thereby allowing businesses to spread their workloads into different environments. This way, companies can obtain the best of both worlds, along with agility and flexibility. Keeping the balance between public and private cloud helps achieve the perfect equilibrium between business agility and cost efficiency. Such benefits of adopting a multi-cloud strategy within your enterprise include:

Better Options with Greater Resiliency

There are a series of providers; Amazon’s AWS rides high on its cost-effectiveness, Microsoft Azure offers a robust enterprise presence, while Google’s GCP is best in the field of analytics. With multi-cloud in place, an enterprise can benefit immensely from all of these factors, so that you can choose the cloud platform which best suits your needs. Mix and match the best combination, so that the enterprise is not restricted to one cloud provider for all its data storage needs.

No Vendor Lock-In

Ideally, in a multi-cloud arrangement, you are never spoiled for choices. Simply put, if one vendor increases their prices, or wants to stop their services, you always have an option to use another vendor’s services. This way, there is no dependency on one cloud provider for their services. In other words, one should not place all their service eggs in one cloud basket.

Security Enhancement

A Distributed Denial of Service or DDoS attack can impact several computers at the same time, especially when it causes a denial of services to the owners and users. If all your enterprise’s resources are powered by one single cloud, which falls prey to such DDoS attacks, chances are your firm will take a significant hit and end up with massive financial losses. Security is enhanced within a multi-cloud approach, as each cloud service provider provides its security systems, which can handle the load of the fallen cloud servers.

Expense Reduction

Expense reduction is a rather simple economic concept; as the services are spread over a few cloud service providers, enterprises can gain a competitive advantage while availing services. To make their services available to a higher number of businesses, service providers often try to reduce their prices to make their services user-friendly.

Challenges Within Multi-Cloud Implementation

There is no denying the fact that the application of a multi-cloud structure comes with its own set of challenges and issues. Deploying the services of multiple cloud vendors is not an easy task, as it is not easy to combine the functions of various cloud vendors under one roof.

Each service provider brings its own set of pros and cons, which make it difficult to combine their services. During the implementation stage, it is essential to understand the exact location where the data is stored, how this data source needs to be merged with the new platforms, and what difficulties can be incurred during the implementation stage.

Most of the times, enterprises lack the budgets for this implementation. Private platforms come with their own expensive set of services, which act as inhibitors for the users; however, as the cloud continues to evolve, there are a lot of changes in the technological horizon. With this thought in mind, multi-cloud has emerged as the preferred choice for most businesses, since it provides great agility and cost-effectiveness.

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The Differences Between Cloud and On-Premises Computing

Posted on March 8, 2019October 18, 2019 by Idexcel Technologies

Cloud computing has recently gained popularity due to the grace of flexibility of services and security measures. Before it, on-premise computing was the one reigning the kingdom due to its sheer benefits of data authority and security. The critical difference on the surface between the two is the hosting they provide. In on-premise computing, to host the data, the company uses software installed on company’s server behind its firewall, while with in-cloud computing the data is hosted on a third party server. However, this is only the surface difference—the deeper we dig, the larger the differences become.

Cost

On-Premises: On-premise involves personal authority on both computing and the data—they only are responsible for the maintenance and upgrading costs of the server hardware, power consumption, and space. It’s relatively more expensive than cloud computing.

Cloud: On the other hand, cloud users need not pay the charges of keeping and maintaining their server. Companies that opt for the cloud computing model need to pay only for the resources that they consume. As a result, the costs go down drastically.

Deployment

On-Premises: As the name itself suggests, it’s an on-premises environment, in which resources are deployed in-house on the local server of the company. This company is solely responsible for maintaining, protecting and integrating the data on the server.

Cloud: There are multiple forms of cloud computing, and therefore the deployment also varies from type to type. However, the critical definitive of the cloud is that the deployment of data takes place on a third party server. It has its advantages of responsibility such as the transfer of security and extension space. The company will have all the access to the cloud resources 24×7.

Security

On-Premises: Extra sensitive data is preferred to be kept on-premise due to security compliances. Some data cannot be shared to a third party, for example in banking or governmental websites. In that scenario, the on-premise model serves the purpose better. People have to stick to on-premise because they are either worried or have security compliances to meet.

Cloud: Although cloud data is encrypted and only the provider and the customer have the key to that data, people tend to be skeptical over the security measures of cloud computing. Over the years, the cloud has proved its brilliance and obtained many security certificates, but still, the loss of authority over the data reduces the credibility of their security claims.

Control

On-Premises: As made clear before, in an on-premise model, the company keeps and maintains all their data on their server and enjoys full control of what happens to it; this has direct implications on superior control on their data as compared to cloud computing. But, so might not be entirely accurate because the cloud gives full access to the company’s data.

Cloud: In a cloud computing environment, the ownership of data is not transparent. As opposed to on-premise, cloud computing allows you to store data on a third party server. Such a computing environment is popular among either those whose business is very unpredictable or the ones that do not have privacy concerns.

Compliance

On-Premises: Many companies have to meet compliance policy of the government which tries to protect its citizen; this may involve data protection, data sharing limits, authorship and so on. For companies that are subject to such regulations, the on-premise model serves them better. The locally governed data is stored and processed under the same roof.

Cloud: Cloud solutions also follow specific compliance policies, but due to the inherent nature of cloud computing (i.e., the third party server), some companies are not allowed to choose cloud. For example, although the data is encrypted on the cloud, the government never chooses the cloud because losing authority over their information is direct annihilation of their compliance measures.

Many factors differentiate cloud and on-premise computing. It’s not that one is better or worse than the other, but instead that they have a different set of customers for them. To overcome these hurdles, a new technology, namely Hybrid Cloud, has emerged which takes care of authority issue related to cloud computing through a hybrid deployment of on-premise, public and private cloud.

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The Challenges of Multi-Cloud Environments

Posted on March 6, 2019October 18, 2019 by Idexcel Technologies

As multi-cloud strategies continue to evolve and rule over companies’ technological gamut, there are a lot of issues which are being highlighted and coming to the forefront. A multi-cloud strategy means companies are beginning to make use of multiple cloud service providers, but does this have to indicate that immediate issues need to be speed breakers in the journey towards achieving the goals? Let’s take a more in-depth look into the challenges being faced by organizations which make use of multi-cloud environments.

Data Governance and Compliance

Multiple clouds and data centers situations in different centers of the world can offer great flexibility and compliance; however, this does not happen automatically. The biggest challenge is to understand where the data resides physically — this situation might be graver for small and mid-size companies.

Given the multi-cloud environment functionality, it might be straightforward to make a mistake and end up running an application in an unapproved environment. There are tons of guidelines laid down, especially under GDPR, which when breached, can cause a collection of hefty fines; to curb this issue, IT managers might be required to prepare the right tools to garner visibility to monitor the extent of their regulatory burdens.

Multiple Vendors and Skill Sets

When an organization is utilizing multiple Cloud vendors, there are a lot of factors which need to be considered. When multiple vendors are being used, multiple skill sets will also need to be managed to get the maximum out of the Cloud. The higher the number of Saas, IaaS, and PaaS solutions leveraged, the higher would be the in-house skill sets which will need to be involved.

Even though multiple vendors are a necessity for managing the workload within large IT teams, it’s important to strive for commonality, wherever possible. Such a feature can be exercised by making use of conventional operating systems, system administration tools, and development languages to manage Cloud management platforms.

Security Issues

Security within the Cloud might be the responsibility of the vendor; however, that does not negate the fact that the end users also need to take the necessary security precautions. To maximize multi-cloud environments, it is vital to tackle the challenges represented by unique portals, migration of apps, and other security challenges. Before signing up with vendors for multi-cloud services, there is a necessity to ensure that the details of the security measures are taken into consideration and discussed with each vendor to understand the scope of their security measures.

Compliance Standards

Compliance standards are of utmost importance, irrespective of the type of Cloud services being utilized. When different Cloud providers are being employed, it is important to note if the various compliance standards like HIPAA, PCI DSS, FISMA, and SOX, are being met with each cloud vendor. If these compliance standards are not met, the data would be at risk of being hacked or lost.

Multi-cloud challenges might seem to be a lot; however, the benefits which can be obtained from multi-cloud environments can take an organization places. What is important is the proper implementation of these environments and the migration of applications to the private and public clouds which should be performed with utmost caution — the benefits will eventually supersede the challenges.

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Data Security Challenges in Cloud Computing

Posted on February 7, 2019October 18, 2019 by Idexcel Technologies

With the increase in data volumes, data handling has become the talk of the town. As companies begin to move to the cloud, there is a higher emphasis ensuring everything is safe and secure, and that there is no risk of data hacking or breaches. Since the cloud allows people to work without hardware and software investments, users can gain flexibility and data agility. However, since the Cloud is often shared between a lot of users, security becomes an immediate concern for Cloud owners.

Security Issues Within The Cloud
Cloud vendors provide a layer of security to user’s data. However, it is still not enough since the confidentiality of data can often be at risk. There are various types of attacks, which range from password guessing attacks and man-in-the-middle attacks to insider attacks, shoulder surfing attacks, and phishing attacks. Here is a list of the security challenges which are present within the cloud:

Data Protection and Misuse: When different organizations use the cloud to store their data, there is often a risk of data misuse. To avoid this risk, there is an imminent need to secure the data repositories. To achieve this task, one can use authentication and restrict access control for the cloud’s data.

Locality: Within the cloud world, data is often distributed over a series of regions; it is quite challenging to find the exact location of the data storage. However, as data is moved from one country to another, the rules governing the data storage also change; this brings compliance issues and data privacy laws into the picture, which pertain to the storage of data within the cloud. As a cloud service provider, the service provider has to inform the users of their data storage laws, and the exact location of the data storage server.

Integrity: The system needs to be rigged in such a manner so to provide security and access restrictions. In other words, data access should lie with authorized personnel only. In a cloud environment, data integrity should be maintained at all times to avoid any inherent data loss. Apart from restricting access, the permissions to make changes to the data should be limited to specific people, so that there is no widespread access problem at a later stage.

Access: Data security policies concerning the access and control of data are essential in the long run. Authorized data owners are required to give part access to individuals so that everyone gets only the required access for parts of the data stored within the data mart. By controlling and restricting access, there is a lot of control and data security which can be levied to ensure maximums security for the stored data.

Confidentiality: There is a lot of sensitive data which might be stored in the cloud. This data has to have extra layers of security on it to reduce the chances of breaches and phishing attacks; this can be done by the service provider, as well as the organization. However, as a precaution, data confidentiality should be of utmost priority for sensitive material.

Breaches: Breaches within the cloud are not unheard. Hackers can breach security parameters within the cloud, and steal the data which might otherwise be considered confidential for organizations. On the contrary, a breach can be an internal attack, so organizations need to lay particular emphasis in tracking employee actions to avoid any unwanted attacks on stored data.

Storage: For organizations, the data is being stored and made available virtually. However, for service providers, it is necessary to store the data in physical infrastructures, which makes the data vulnerable and conducive to physical attacks.

These are some of the security issues which come as a part of the cloud environment. However, these are not exactly difficult to overcome, especially with the available levels of technological resources these days. There is a lot of emphasis on ensuring maximum security for the stored data so that it complies with the rules and regulations, as well as the organization’s internal compliance policies.

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