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Messages - matin.esds

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16
Disrupting the sectors like media, finance, healthcare; The Digital revolution is now breaching the walls of the manufacturing industry. In this digital era, the manufacturing industries are leveraging the power of digital technologies to redesign the manufacturing landscape. According to a survey, 60% of manufacturers will invest in a digital platform supporting 30% of their overall revenue by 2020. Centred on a computer system, Digital manufacturing is an integrated approach to manufacturing. In the industrial sector, digital manufacturing is the fastest and simplest way to transform an idea into reality.

Expert Survey states, 79% of manufacturing industries are embracing digital technology to enhance their business growth. The integration between PLM, ERP, shop floor applications and equipment in Digital manufacturing enable exchanging product information amid digital design and physical manufacturing execution.

Benefits of Digital Manufacturing

1. Improve Productivity:
Digital manufacturing eliminates the manual processes leading to a significant improvement reducing human errors. There is a high probability of errors in a production line that completely relies on manual decisions. Digital manufacturing yields greater output for the same input retaining process consistency.

2. Skilled Labour:
Digital manufacturing is a way to attract skilled talent hunting for technologically blessed environments. Delivering the right information at the right time, digital manufacturing enables employees to focus on process improvements rather than mundane tasks.

3. Effective Inventory Management:
Digital manufacturing eases inventory management by monitoring stock-outs or excess inventory. RFID tracking, the Omnichannel inventory control, IoT, Cloud Computing, Blockchain are some of the digital technologies proving to be the game-changer for inventory management in manufacturing.

4. Effective Working Environment:
The capability to enhance manufacturing operations gave rise to the increasing popularity of digital technologies in manufacturing. Automating production processes and pre-testing fresh ideas before implementation enables saving time and money.

According to a report, North America retains the largest market share for digital transformation in the manufacturing market.

Technology Trends in Digital Manufacturing
1. Internet of Things (IoT):
A report says 63% of manufacturers believe IoT increase profitability. The IoT devices provide real-time data, empowering the manufacturers to make strategic decisions. Having a major impact on the manufacturing processes, Internet of Things is offering new opportunities transforming business growth.

2. Supply Chain Monitoring:

Logistics Optimization, Sales and Operations Planning, Product Lifecycle Management, Business Intelligence, Network and Inventory Optimization, RFID and Procurement are a few digital technological trends simplifying Supply Chain Monitoring. Offering more visibility and full control over inventory, digital technologies help the manufactures reduce operational cost and improve customer satisfaction and retention.

3. ERP System to Streamline Processes:
The manufactures have recognized the importance of implementing Enterprise Resource Planning (ERP) for a lean and competitive advantage. The ERP systems proactively manage operations, prevent disruptions and delays, and break up information roadblocks enabling strategic decision-making.

4. Big Data:
Transforming the sensory data from a database, IoT generates meaningful insights. The ability of sensors to gather huge volumes of data from multiple sources in combination with cloud computing is making big data more usable.

Conclusion:
Digital manufacturing has opened a gateway for manufacturers to reduce costs and enhance quality. The rising intensity of competitions between manufacturers pressurizes them to think innovatively, cultivate additional revenue streams, and hunt ways to by-pass the competition.  Establishing a digital thread, manufacturers can achieve time-to-market and volume goals.

The launch of “Make in India” enhanced the country’s manufacturing agenda and global competitiveness. IoT is transforming the Indian manufacturing landscape leading to a “Fourth Industrial revolution”  The Indian cloud service providers like ESDS – The Digital Transformation Catalyst have come up with solutions to enhance your manufacturing processes.

17
General Cloud Hosting Discussion / What is Cloud Migration?
« on: May 21, 2021, 11:55:34 AM »
What is Cloud Migration?

Cloud Migration is the process which refers to moving/migrating the data, resources, and servers from a physical environment to the cloud infrastructure. The migration can also be from one cloud service provider to other, known as cloud-to-cloud migration. Another type of migration is reverse cloud migration or un-clouding or de-clouding in which applications and data are shifted back in a local data center. Migrating to the cloud is not an easy task and therefore a correct plan with proper solutions is extremely vital. Especially for the SMEs, this migration task is tension-giving because they lack resources and force. Planning of the final goal and can help in deciding the target servers for the migration servers. The migration plan should be such that it delivers optimum agility, efficiency, and cost-saving ability

What are the Advantages and Disadvantages of Cloud Migration?

The Pros –

Super Scalable

The scalability and flexibility which is provided by the cloud are beyond comparison. You donÂ’t need to fear about the upcoming infrastructure, the cloud can scale the resources as per the exact requirement

Lower Costs

Profits are not just determined by how much revenues are generated but, also by how much amount of money is saved. Migrating to cloud obviously reduces the costs by lowering the CapEx and OpEx as it utilizes resources as per the requirement and hence you pay only for what you consume

Automation Makes Everything Easy

The IT staff has got better tasks to do rather than always worrying about taking backups of the several applications and website. The cloud applications update themselves in the backend without the interference, thus improving stability

Enhanced Storage Space

The vast amount of storage is what every organization needs, which is provided by the cloud. The security of the cloud and increased storage space at a very reasonable cost makes this situation a win-win one

Increased Flexibility in Operations.

The testing and deploying phase of an application becomes quick and fast due to the increased flexibility. The IT Team doesnÂ’t need to install and deploy the applications manually

High Mobility

Employees can access the data from anywhere, at any time through any internet connected device. The security is still maintained in most of the vulnerable conditions

The Cons –

•The Sensitivity of Data

The data in the cloud is of the clients and is highly sensitive irrespective of the quantity. While migrating there is quite a chance of data leakage or data loss. Hence, the process of cloud migration is very time-intensive and requires complete planning, evaluation, and attention

•Security Issues

The security would be an issue in all the industries of the world. This is because every time we upgrade the solutions, the attackers come up with new threats. But, the solution will always be developing the counter-attacks

•Interoperability

The interoperability issues are unavoidable and hence it is one of the biggest challenges. This happens because every application vendor uses the cloud in its own way, therefore the communication between the individual applications gets tougher. A single code canÂ’t work for all the applications and therefore if there is a high factor of dependency then the interoperability issue should be kept in mind

•The Cost and Time for the Migration

For the migration of a complete enterprise, the time and cost will be involved in a good amount. Both of these things should be considered and evaluated while making the plan. Also, everyone will take time to get the hang of it therefore, the productivity and costs can get hampered in the initial phases but later on, it can go smooth

The Process in Brief

The plan of a process depends upon the size of the enterprise, type of migration, and the particular resources which the business wants to move. The usual components of the cloud migration strategy include evaluation of performance and security requirements, and selecting a cloud provider. Also, the planning of costs and organizational changes is necessary

While there are lots of positives, but while migrating, an organization needs to consider the negatives as well. The major issues like data integrity, security, application, and data portability, disaster recovery, and interoperability can take a toll on the organization. If these things arenÂ’t planned, the company can face more losses than ever, instead of the multiple benefits of the cloud

The details of migration decide how the enterprise chooses to move the application onto a new hosting environment with no loss. In case of the lift-and-shift migration, everything shall be moved without modifications. But considering other cases, making changes to the architecture or code can prove more beneficial before making the migration

If the transfer has to be done from the local data center to a public cloud, then some other options need to be considered. Factors like usage of public internet, offline transfer mode, and the connection type (private or dedicated) matter a lot. The organization moves its local data to an appliance and manually sends that application to the cloud service provider. Finally, they upload the data to the cloud. Whether the migration would be online or offline, that depends on the type and quantity of data, plus the time-based urgency for the migration

Effective Ways to Alleviate Cloud Migration Challenges and Gain Benefits

People ask questions like, “if there are so many advantages, then why the cloud is not everywhere?’ Well, apart from the several reasons stated here, the main reason for the slow adoption of cloud is the non-surety and non-clarity about the solutions of challenges

Take a look at the solutions towards the existing problems

•Encryption is Must

This is obvious. Encryption keeps security attacks at a bay and therefore the file format should be encrypted strongly so that even if data theft happens, the files shouldnÂ’t get decrypted as that could lead to dangerous outcomes. Various technologies can help you in protecting your data

•Schedule Periodic Backups

No one can deny the importance of regular backups. Even if it is expensive, it is nothing to the cost of recovering the lost data and the tremendous amount of trauma caused at that time

•Take help from the skilled personnel


You should take the guidance of experts whenever doing such important and risky actions. By taking the service from the skilled personnel, you wonÂ’t face the troubles which you are likely to get from the less skilled and experienced people. You need to choose the cloud service provider who can offer you services as per your need, plans, goals, and companyÂ’s size

•Analyze the risks

Security was, is, and always be the prime concern when migrating the data and applications on the cloud. The cloud gives accessibility, scalability, and flexibility but also it shows vulnerability. You need to find a trustworthy cloud service organization which can take responsibility

•Plan the budget

Even small things require budget planning, and now data migration is a huge task to do which definitely requires proper planning. Ensure that you and your service provider are transparent about it and the profit percentage is more than estimated loss percentage (if some things go wrong, there are exceptions always)

18

19
General Cloud Hosting Discussion / Understanding SAP BASIS Support
« on: May 20, 2021, 09:00:19 AM »
Get an overview of what SAP BASIS Support is and why it is an important element in the SAP universe
SAP BASIS Support


SAP landscape contains various modules, databases, business applications, and operating systems that work together and assist day-to-day business operations. SAP systems are critical for a business and so any kind of downtime can be a cause of major loss in the business and so the administration of these systems is important. Like any other process which requires maintenance and administration for smooth functioning, SAP systems also require continuous upkeep so that there is no performance degradation in any business process.

Why administration is important and what is SAP BASIS ?

An enterprise with its own SAP ERP or SAP HANA requires managed services for configuring software and application, executing upgrades and daily maintenance and so a team of dedicated experts is a must. These experts/administrators ensure that all the components in an SAP environment are monitored and managed efficiently so that business operations do not come to a halt. Basically, SAP BASIS administrators are responsible to keep your business running by taking care of the SAP landscape. Thus, in the SAP universe, SAP BASIS (Business Application Software Integrated Solution) Support is the maintenance that is carried out through a set of tools to ensure the landscape functions very effectively.

Generally described as the glue that holds the SAP landscape together, SAP BASIS administrators are certified professionals who are responsible for daily maintenance and monitoring of the systems for optimized business flow. BASIS administrators keep the SAP environment stable and secure by finding the root cause of any issue before it causes major disruptions in business operations. An ideal SAP BASIS administrator prevents costly outages and ensures that the business not hampered in any way.

Here is a list of tasks performed by the SAP BASIS administrator
  • Configuring the entire SAP system
  • Backing up and restoring data
  • Maintaining system availability
  • Scheduling background jobs
  • Planning system updates and upgrades
  • User administration
  • Managing SAP transports
  • 24/7 support and proactive system monitoring
  • Fine-tuning system for better performance
  • SAP license maintenance
  • Database maintenance
  • Security Management

Why enterprises usually outsource their SAP BASIS ?

  • SAP landscape is a complex ecosystem and cannot be taken care of by inexperienced IT personnel.
  • Economically it is better to hire a certified IT provider to provide SAP BASIS Support rather than hiring, training, and retaining SAP administrators which is highly expensive.
  • Enterprises can focus on their core business rather than investing their time and efforts in managing an internal SAP BASIS team.
  • SAP BASIS administrator stays up to date with trending information in the SAP universe and so can easily take care of a minor or major problem.
  • Enterprises usually deal with multiple IT service providers but if they choose a reputed service provider then they benefit through a single team that takes care of their entire SAP landscape.

ESDS Software Solution is a leading Cloud Service Provider (CSP) in India that has experience in serving over 150 SAP clients and offers SAP BASIS Support for seamless maintenance and lifecycle administration of SAP infrastructure. Our dedicated SAP BASIS Support team acts as a true single point of contact and takes care of end-to-end elements such as implementation, maintenance, monitoring, and upgradation of an SAP system. Our in-house SAP administrators, who have demonstrated experience in meeting rigorous company standards and compliance-needs, ensure that all the SAP applications are installed and configured properly so that all your functions run smoothly.

ESDS additionally offers
  • Around the clock support
  • A proactive approach towards any monitoring or management component
  • Cost-effective support (Minimum 20% Discount of SAP BASIS Support, visit https://www.esds.co.in/sap-basis-services to know more)
  • Certified SAP consultants to execute any IT strategy
  • Top-of-the-line SAP application security

SAP BASIS is an important component in an SAP landscape and SAP BASIS administrators play an important role in taking care of the environment because of their dedication and focus on meeting the businessÂ’ goals.

20
In this modern era of “always-on” business, prolonged downtime is not acceptable.  It is the need of the generation to keep small or large businesses running all the time. A steady rise in data security attacks and continuously changing IT landscape have revolutionised the disaster recovery market in recent years. According to stats, 86% of companies experienced system downtime in the last 12 months.  A report says, 90% of businesses losing data due to disaster are forced to shut down within two years. To most of the organisations, reliance on IT simply means not operating when the system went down. Such companies need to have a disaster recovery solution in place to make sure the businesses operate even after a disaster.

Indeed, IT disasters are unpredictable, but recovery needs to be planned, predictable and controlled. A recovery plan describes the scenarios to resume work as soon as possible and reduces interruptions in the aftermath of a disaster. It enables sufficient IT recovery and the prevention of data loss. A recovery plan should be a thoroughly detailed report that includes all the ins and outs of the policy right from emergency contacts to succession planning. Additionally, the dynamic nature of IT requires constant review and updates of the process and plan. It must be a part of everyday operations.

Here are a few essential keys to consider while selecting a disaster recovery plan.

1. Know Your Threats and Prioritize Them
The first stage of developing an effective DR plan is to understand the most severe threats to your IT infrastructure and their impact on everyday operations and long-run business success. Identifying risks like system failure, staff error, fire or power loss can help to put the solution in place and determine the course of action needed for recovery.

Large-scale disasters like storm require careful planning and execution. A significant concern is business continuity when a storm strikes and backup data storage failure. To address these issues, it is mandatory to make a list of potential disasters and prioritising them depending on their occurrence. Post-disaster ranking determines the Recovery Time Objective (RTO) for every service.


Along with RTOs, Recovery Point Objective (RPO) need to be considered in the recovery plan. In other words, a volume of data a company is prepared to lose is RPO. Data Backup frequently will help you to meet your RPO.

2. Response Team and DR Manual
A critical response team is a mandatory part of the disaster recovery plan. The team is responsible for getting the system online quickly after a disaster. Make sure a single person is responsible for a single role to avoid a mess. A backup for every member will help the recovery team to perform smoothly even if a member is absent. In other words, if a member of the team is not able to come someone else can step in and undertake the job.

When a disaster strikes, the situation is stressful for the team to handle. To ensure smooth execution of the recovery plan, there is a need to have a step-by-step action plan. This manual will enable the team to execute the recovery process in the required order.

3. Testing Recovery Plan and Backup resources
Testing the initial DR plan will help you in analysing the recovery process and modify the plan if there is any fault or error in it.  Immediately after testing, shortcomings and errors need to be addressed. To minimise the risk of data loss in this dynamically changing IT environment the recovery plan should be updated and tested regularly.

Post-testing check if the backup resources are in place. If the reason for disaster is failed hard drive, getting it fixed is more comfortable with the spare server.

4. Diagrams and Directions
Constructing a detailed network diagram of all the LANs and WANs in an organisation is highly valuable to minimise the danger if something goes wrong.  It saves time and efforts required for finding faults or rebuilding a system. With a network diagram, identification of nodes on switch and panels is no longer a tedious task.


5. Go Wireless
Wireless equipment helps to restore the network quickly if a disaster makes the business operations difficult. Replacing physical servers with virtual servers reduces one-time and ongoing cost resulting in less idle hardware.  It reduces the time taken for restoring the data. Determining the count of virtual servers required to backup is an essential aspect of server virtualisation.  It offers a better disaster recovery solution than the physical servers since virtual machines can automatically restart a software without data loss.

Final Thoughts

This modern era demands that organisations plan their disaster recovery. Update the DR plan with dynamically changing IT infrastructure. Also, detailing the plan thoroughly with essentials as mentioned earlier will help in quick recovery.

21
Disaster Recovery is an organization’s strategy for recovering access and functionality to its IT infrastructure after events like a natural disaster, cyber-attacks, or even business disruptions. An assortment of Disaster Recovery (DR) strategies can be important for a Disaster Recovery plan. DR is one part of Business Continuity and is also known as Disaster Recovery as a Service (DRaaS).

DRaaS, also known as Disaster Recovery as a Service, is the replication of facilitating of physical or virtual servers which provide failover in case of a man-made or natural calamity. DRaaS can be particularly helpful to organizations that come up short on the important ability to provision, design, and test an effective Disaster Recovery plan (DRP).

The global DRaaS market size is expected to grow from USD 5.1 billion in 2020 to USD 14.6 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 23.3% during the forecast period.


According to a report, Cloud-based Disaster Recovery-as-a-Software (DRaaS) will be used by 59% of the organizations by 2021. Currently, 36% of the organizations use DRaaS, and a further 23% of the organization plan to add the technology by the coming year.


Disaster Recovery Plan
A Disaster Recovery (DR) plan is a conventional report made by an organization that contains definite instructions on the most proficient method to react to unplanned incidents like natural disasters, blackouts, cyber-attacks, and some other problematic events. The plan contains methodologies on limiting the impacts of a disaster, so an organization will keep on working – or rapidly continue key operations.

Disaster Recovery (DR)
Disruptions can give rise to loss of income, brand damage, and disappointed clients. The longer the recovery time, the greater is the risk of the adverse business impact. In this way, a good disaster recovery plan should empower quick recovery from disruptions, notwithstanding the source of the disruption.


What should a disaster recovery plan include?
As organizations depend more on innovation and electronic information for their everyday activities, the amount of information and data innovation infrastructure lost to calamities gives off an impression of being expanding. Organizations are estimated to lose income and cause expenses each year because of disasters, unpreparedness, and lost profitability. Measures should be taken to shield your organization from disasters. The way organizations can protect themselves from disaster is by creating and implementing a Disaster Recovery plan (DRP).


1. Build a Disaster Recovery team

The team will be solely responsible for developing, implementing, and maintaining the Disaster Recovery Plan (DRP). A DRP should distinguish the team members, characterize every part’s obligations, and give their contact data. All employees should be educated and informed of the understanding about the DRP and their duty if a disaster happens.

2. Identify and analyse disaster risk

Your disaster recovery team should distinguish and evaluate the dangers to your organization. This progression should incorporate things identified with natural disasters, man-made crisis, and innovation-related incidents. This will help the team in recognizing the recovery techniques and resources needed to recover from disaster inside a predetermined and satisfactory time frame.

3. Regulate critical applications, documents, and resources

The organization should assess its business cycles to figure out which are critical to the tasks of the organization. The plan should focus on momentary survivability, for example, producing cash flow and revenues, instead of on long-term solutions of re-establishing the organization’s full working capacity. However, the organization should perceive that there are a few cycles that should not be postponed if possible. One example of a critical cycle is the preparation of payroll.

4. Specify backup and off-site procedures

These strategies should recognize what to back up, & by whom, how to perform the backup, area of backup, and how now and again backup should occur. Every single critical application, hardware, and documents should be backed up. Documents that you should think about backing up are the most recent financial reports, government forms, a current list of employees and their contact data, stock records, client and vendor listings. Critical supplies needed for everyday tasks, for example, checks and purchase orders, just as a copy of the DRP, should be put away at an off-site area.

5. Regular testing and maintain DRP

Disaster recovery planning is a nonstop interaction as risks of disasters and crises are continually evolving. It is suggested that the organizations should regularly test the DRP to evaluate the systems recorded in the arrangement for adequacy and appropriateness. The recovery team should routinely refresh the DRP to accommodate for changes in business processes, innovation, and developing disaster risks.

Disaster Recovery Planning
1. Assemble Plan


An organization should properly assemble a Disaster Recovery Plan for the betterment of the organization. Assembling the plan in a proper format would help the organization to protect the data and critical information to hit by any disaster.

2. Identify Scope

Disaster Recovery Plan should ensure that the data is kept safe and secured all the time. The best way of doing this is by using offsite data storage options like Data Center. For this planning, the scope should be identified properly.

3. Appoint Emergency Contacts

In case of any emergency or sudden disaster taking place, everyone should be aware of the emergency contacts appointed by the organization for the rescue. This would help the organization to take immediate actions and recover the data on time.

4. Recovery Team

The recovery team should be appointed in an organization, who would be responsible to recover the data and the crisis done by the incident. The roles and responsibilities of the recovery team should be well defined by the organization and should be trained well with the scope of the DR Plan.

5. Data & Backups Location

The locations of the Data & Backups should be defined by the recovery team so that the after-crisis recovery process is not affected and the recovery of the data is done well.

6. Testing and Maintenance

Routine test and maintenance is a part of the disaster planning process which will benefit the recovery process. Smooth testing of the recovery plan is much needed as it ensures performance.

Conclusion
To conclude with this, the modern era demands organizations to avail a proper Disaster Recovery Plan. As the technology is upgrading and data is being stored on the cloud the chances of cyber threat or any kind of disaster taking place is high. A detailed DR plan would help the recovery team and the organization streamlines and secure their data.

22
IaaS vs. DaaS vs. PaaS vs. SaaS
Cloud computing is presented in a wide range of services. It’s no question that cloud computing will have numerous benefits for your organization. But, if you want to maintain maximum efficiency in the cloud, you must choose the right service level for you. The different service levels available govern how you utilize cloud computing to build and manage your IT infrastructure.

There are 4 different types of cloud computing services. They are Software as a Service (SaaS), Platform as a Service (PaaS), Infrastructure as a Service (IaaS), and Desktop as a Service (DaaS). Let’s look at each one and what kind of organization will benefit from it.

Software as a Service (SaaS)
SaaS is delivered over the web and is primarily designed for the end user. It is usually offered on a subscription basis or as a pay-as-you go model. Because of its accessibility, this model is rapidly growing in popularity and market indicators predict even further growth. Some of the benefits of SaaS include:

  • Commercial software accessible on the web
  • SaaS software is often managed from a central location, so it’s easy to manage
  • The user is not required to handle any software upgrades

SaaS is ideal for organizations with applications that must have internet or mobile access. This service level makes it very easy to access the web without the need for any hardware upgrades.

It may not be ideal for organizations dealing with applications that are restricted by law or otherwise from sharing their data. As this issue of Data Security continues to dominate the cloud computing world, the industry has come up with a number of solutions.

Cloud providers are increasingly offering more secure options and users have the option of choosing a hybrid model which has all the benefits of SaaS plus additional security.

Platform as a Service (PaaS)
PaaS is similar to SaaS except for one major difference. Rather than offering software that is delivered over the web, PaaS offers a platform for the creation of software delivered over the web. Some of the benefits associated with PaaS include:

  • You have an environment to test, host, deploy and maintain applications in various stages of development
  • PaaS allows for a multitenant system where multiple users can manage a single account
  • PaaS has inbuilt scalability to aid in data load balancing

PaaS is ideal for an organization that has multiple developers working on the same development project. It is, however, less than ideal when an application needs to be portable or when development will require customization of hardware and software. It would be ideal to use IaaS in this case.

Infrastructure as a Service (IaaS)
The IaaS model specializes in delivering cloud computing infrastructure as an on demand service. In this service, clients can access servers, Data Storage Centers, and network equipment. Some of the benefits of IaaS include:

  • A vast array of resources is distributed as services
  • IaaS allows for scaling, which means it is flexible
  • Cost varies with use

IaaS is ideal for organizations that have a great need for a cloud computing infrastructure, but can’t afford the hardware they need. It may be a bad idea to use IaaS if regulatory compliance restricts a company from outsourcing data storage.

Where there are regulatory compliance issues it is ideal to go with the Private cloud since the company will have full control over the infrastructure.

Desktop as a Service (DaaS)
With DaaS, clients get a virtual desktop and the provider provides all back-end services that would have usually been provided by application software. Some of the advantages of DaaS include:

  • Migration to another platform is easy
  • DaaS is easy to use compared to other models
  • The DaaS service is highly personalized and customizable

DaaS is ideal for small organizations that have limited resources, but still find cloud computing necessary. It may, however, not be the right fit for larger corporations looking for a more involved IT infrastructure. Such companies would be better off using IaaS or the Private Cloud which is more suited to a larger corporation’s needs.

23
    Server virtualization has been in the trend for a couple of last years and it is a reality that knocks companies, bringing numerous benefits to all who seek the resource savings and a more effective IT management. Furthermore, it is a green technology.

    Server virtualization is the concept of taking a physical server and, with the help of virtualization software, partitioning the server, or dividing it up, so that it appears as multiple “virtual servers,” each of which can run their copy of an operating system.

    To give a broader view of server virtualization, here is a comprehensive list of advantages and disadvantages, which can be compensated by using a cloud provider with recognized market action.

    Let’s check out the advantages and disadvantages of Virtual Server.

    Advantages of Virtual Server:
    [LIST=1]
    • Facilities to be simplified, space-saving, time and cost-saving.
    • Centralized management and Full compatibility with applications.
    • Greater availability and easier recovery in case of disaster.
    • The ability for running backups and can use multiple operating system environments on the same computer.
    • Controlled access to sensitive data and intellectual property by keeping them safe inside the data center.
    • Best use of space: the fewer physical devices installed, the greater the availability of space in racks.
    • Migrating servers to new hardware transparently.
    • Reliability and Availability – the failure of software does not affect the other services.
    • The cost reduction is possible using small virtual servers on a more powerful single server.
    • Adapting to different workloads, which can be treated simply. Typically, virtualization software reallocates hardware resources dynamically between a virtual machine and another.
    • Load balancing: the whole virtual machine is encapsulated. Thus, it becomes easy to change the virtual machine platform and increase its performance.
    • Support for legacy applications: when a company decides to migrate to a new operating system, you can keep your old operating system running in a virtual machine, which reduces the cost of migration.
    • Reduction of personnel costs, power, and cooling by using less physical equipment.
    • Better utilization of hardware – the hardware sharing by virtual machines is reduced to idle equipment.
    • Creates independent user environments. Keeping everything separate is especially useful for purposes like software testing.
    • Reduced downtime.
    • Ease of migration environments – prevents reinstallation and reconfiguration of systems to be migrated.

    Disadvantages of Virtual Server:
    [LIST=1]
    • The biggest disadvantage of virtual servers is that if or when the server goes offline, all the websites hosted by it will also go down. Hence, to solve this, the company could set up a cluster of servers.
    • Management – virtual environments need to be instantiated (create instances on virtual machines), monitored, configured and saved.
    • Difficulty indirect access to hardware, for example, specific cards or USB devices.
    • Performance – currently, there are no consolidated methods to measure the performance of virtualized environments.
    • When several virtual machines are running on the same host, performance maybe hindered if the computer it’s running on lacks sufficient power.
    • Huge RAM consumption since each virtual machine will occupy a separate area of the same.
    • It requires multiple links in a chain that must work together cohesively.
    • Great use of disk space, since it takes all the files for each operating system installed on each virtual machine.

    The advantages and disadvantages of virtualization are a clear indicator that it can be a useful tool for individuals, entrepreneurs, and enterprises when used properly.

    To Conclude:
    Virtualization offers more benefits as it can solve and facilitate a number of operations. It becomes important to evaluate all the aspects present in virtualization in order to avoid any kind of crisis.

    24
    General Cloud Hosting Discussion / What Is Server Hosting?
    « on: May 10, 2021, 12:44:33 PM »
    Server hosting is the handling of hardware resources to check that the content such as websites, media files, and emails can be accessed by people through the Internet.

    Individuals and businesses contract server hosting from web hosting service providers to provide them the virtual real estate where their websites, email systems, and other Internet characteristics can be stored and delivered. The web hosting service provider is responsible for maintaining the server and keep it working and connected to the Internet so that requests and content can communicate to and from end-user computers. By paying a monthly fee to a hosting service, businesses can get the benefits of holding complete IT support without the cost compared with equipment maintenance, facilities, training, and the latest updates.

    Other primary responsibilities of server hosting providers are as follows:

    • Managing servers and bypassing from overheating, which is a possible risk for hardware during use 24/7.
    • Replacing hardware whenever needed.
    • Get customer support.
    [/I]

    Types of server hosting
    Cloud hosting
    Cloud has become the buzzword today. It refers to either the Internet or an intranet in association with several types of service or application offerings. Knowing the benefits of hosting, today many companies have started using Cloud hosting solutions for their business.

    Cloud hosting is the most advanced form of hosting and has become incredibly popular. In cloud hosting, the resources which are necessary for the maintenance of your website are spread across more than one web server and are used as per the requirement basis.

    Owing to this the chances of any downtimes in case of a server malfunction get reduced greatly.

    Further, cloud hosting allows you to manage peak loads very easily without facing any bandwidth issues. This is because you have another server that can provide additional resources in case of any necessity.

    Dedicated Hosting
    Dedicated hosting indicates your website is hosted on a separate server that is assigned specifically to your website. This skips the competition of resources linked with shared hosting and results in more sturdy website performance.

    Dedicated servers are for those who have outgrown shared hosting or virtualized hosting platform and require complete control and access over the resources for their websites, applications, or databases.

    Security is one of the most important factors associated with dedicated servers, and you can customize your server security with the help of a software or a branded hardware firewall. Complete server privileges allow you to make any changes in terms of service that run within your dedicated server. ESDS dedicated server hosting solutions are packaged with complete managed services and 24 x 7 live customer support.

    Shared hosting
    Shared hosting serves by hosting multiple websites on a single server. Some have related shared hosting to a public bus system, because it is inexpensive to use, and includes sharing resources with other users. Thousands of websites can be hosted on a single server, which creates benefits and drawbacks as well.

    Shared hosting is perfect for new website owners looking for a beginner-friendly, and cost-efficient option. Individual projects, small businesses, and even medium-sized firms can serve from the benefits of shared hosting.

    Managed hosting
    With managed hosting, the service leases the hardware with including storage space to you. The hosting service takes care of monitoring and maintenance. Managed hosting can protect companies on expenses associated with personnel and maintenance of IT infrastructure. It is amongst the more expensive choice.

    Virtual private servers
    A VPS hosts the data of various clients on a single physical machine. But unlike shared hosting, it uses a hypervisor to segregate tenants.

    The VPS is known as a Virtual Private Server as all clients on the server seem as if they were on a separate dedicated machine. The VPS resembles this environment, cutting down on resources and expenses.

    Virtual private servers vary from shared servers for software and their availability of resources. Although, the structure of both is actually similar.

    The main reason VPS hosting is considered excellent is that it gives significantly more resources (memory, computing power, running CPU or graphics-intensive software, etc.) compare to shared server hosting. A VPS server also provides a guarantee for resources that a client may apply, while shared hosting does not.

    To Conclude:

    We have tried to explain what is a server hosting in a very simplified form, and hope that the article is helpful to you and now you must have got the basic idea of organizing such a system.

    25
    General Cloud Hosting Discussion / All about Kubernetes
    « on: May 07, 2021, 11:13:39 AM »
    The use of containers has caused a paradigmatic shift in the way that software developers build and deploy programs. Kubernetes is an open source tool developed by Google to manage containers. The company used BORG software to manage about a billion deployments in its data centers across the world until the Kubernetes project was initiated in 2014. Kubernetes is now hosted by Cloud Native Computing Foundation (CNCF). Kubernetes have the capability of automating deployment, scaling of application and operations of application containers across clusters of nodes. It is capable of creating container-centric infrastructure. This document tries to explain the concept of containerisation and Kubernetes…

    What is a Container?
    A Container is a bundle of applications with all their dependencies that remains isolated from the guest OS (client), on which they run. A software developer can package an application and all its components into a container and distribute it on the network, say internet, for public use. Containers can be downloaded and executed on any computer (Physical or VM) because they use the resources of the host OS (on which they are downloaded) for execution. Containers are very much similar to VM  but depends upon what you are trying to accomplish.

    What is Kubernetes?
    Kubernetes is an open source tool used to manage containers across the private cloud, public cloud or hybrid cloud. It provides a platform for automating deployment, scaling and management of containerised application across clusters of nodes. It supports many other container tools as well. Therefore we can add extensions and use containers apart from the internal components of Kubernetes.

    What are the characteristics of Kubernetes?

    • Quick development, integration and deployment.
    • Auto-scalable management.
    • Consistency across development testing and production.
    • Computer resources are fully utilized. Therefore you need not concern about resource wastage.

    The following are the features of Kubernetes which provide management of the containerised applications. The Kubernetes API allows extensibility of extensions and containers making them scalable.

    Pods
    A Pod is a group of one or more containers (as a pod of peas) with shared resources and a specification for how to run the containers.

    A pod contains one or more application containers which are relatively tightly coupled and can share resources of the host computer. These applications if non-containerized have to run together on one server. Pod allows these small units to be scheduled for deployment through Kubernetes (K8).

    Each pod in Kubernetes is assigned a unique IP address which allows applications to use ports without the risk of conflict.

    Containers within a pod share an IP address and port space and can find each other by localhost. Containers in different pods have distinct IP addresses and must have a special configuration to enable communication between them.

    Applications within a pod also have access to shared volumes, which are defined as part of a pod and are made available to be mounted into each application’s file system.

    Pods do not live long. They are created, destroyed and re-created on demand, based on the state of the server and the service itself. Pods can be manually managed through the Kubernetes API.

    Labels and selectors
    Labels are key/value pairs that are attached to objects, such as pods and nodes. Labels are intended to be used to  identify attributes of objects. They can be attached to objects at the time of creation  and can be added or modified at any time. Each object can have a set of key/value labels defined but each key must be unique for a  particular object.

    Label selector is a query against the labels that resolve to the matching objects. For example, if the Pods of an application have labels for a system tier (“front-end”, “backend”) and a release track (“canary”, “production”), then an operation on all of the “back-end” and “canary” nodes could use a label selector such as the following:

    Controllers
    Kubernetes system constantly tries to move its current state to the desired state. The worker units that guarantee the desired state are called controllers. A controller is a loop that drives actual cluster state towards the desired cluster state. It does this by managing a set of pods.

    One kind of controller is a Replication Controller, which handles replication and scaling by running a specified number of copies of pods across the cluster. It also handles creating replacement pods if the underlying node fails. They create and destroy pods dynamically.

    DaemonSet Controller is also a part of the core Kubernetes system which is used for running exactly one pod on every machine (or some subset of machines).

    Job Controller is used for running pods that run to completion, say, as part of a batch job. The set of pods that a controller manages is determined by label selectors that are part of the controller’s definition.

    Services
    A Kubernetes Service is an abstraction which defines a logical set of Pods and a policy  to access them – sometimes called a micro-service.

    A Kubernetes service is a set of pods that work together. The set of pods that constitute a service are defined by a label selector. Kubernetes provides service discovery and request routing by assigning a stable IP address and DNS name to the service, and load balances traffic to network connections of that IP address among the pods matching the selector.

    Example: Consider an image-processing backend which is running with 3 replicas. Those replicas are fungible -frontends do not care which backend they use. While the actual Pods that compose the backend set may change, thus, the frontend clients need not  keep track of the list of backends themselves. The Service abstraction enables this decoupling.

    By default, a service is exposed inside a cluster (Example: back-end pods might be grouped into a service, with requests from the front-end pods which are load-balanced among them), but a service can also be exposed outside a cluster.

    Architecture of Kubernetes
    Kubernetes has a Master-Slave architecture.


    Kubectl is a command line tool  used to send commands to the master node.  It communicates with the API service to create, update, delete, and get API objects.

    Master node
    It is responsible for the management of Kubernetes cluster. This is the entry point for all administrative tasks. The master node manages cluster’s workload and directs communication across the system. It consists of various components, each has its own process that can run both on a single master node or on multiple masters.

    The various components of the Kubernetes control plane (master) are:

    API server
    The API server is a key component and serves the Kubernetes API using JSON. The API server is the entry point for all the REST commands used to control the cluster. It processes the REST requests, validates them, and executes the bound business logic.

    Controller manager
    Controller manager is a daemon in which you run different kinds of controllers. The controllers communicate with the API server to create, update and delete the resources they manage (pods, service endpoints etc.).

    Scheduler
    The deployment of configured pods and services onto the nodes is done by the scheduler. Scheduler tracks resource utilization on each node to ensure that workload is not scheduled in excess of the available resources. For this purpose, the scheduler must know the resource requirements, resource availability and a variety of other user-provided constraints.

    etcd
    etcd is a simple, distributed, consistent and lightweight key-value data store. It stores the configuration data of the cluster, representing the overall state of the cluster at any given time instance. It is mainly used for shared configuration and service discovery.

    Kubernetes nodes or worker nodes or minion
    The pods are deployed on Kubernetes nodes, so the worker node contains all the necessary services to manage the networking between the containers, communicate with the master node and assign resources to the containers scheduled. Every node in the cluster must run the container runtime (such as Docker), as well as the following components.

    Kubelet
    Kubelet service gets the configuration of a pod from the API server and ensures that the described containers are up and running. It takes care of starting, stopping, and maintaining pods as directed by the master. It is responsible for communicating with the master node
    to get information about services and write the details about newly created ones.

    cAdvisor
    cAdvisor monitors and collects resource usage and performance metrics of CPU, memory, file and network usage of containers on each node.

    Kube-Proxy
    Kube-Proxy is a network proxy and a load balancer for a service on a single worker node. It handles the routing of TCP and UDP packets of the appropriate container based on IP and port number of the incoming request.

    For more info Visit:- All about Kubernetes

    26
    So, let’s start by understanding what serverless architecture is?

    Originally, serverless architecture meant, the applications which depend on the services of the cloud given by third-parties. They used to manage the server state and logic. Besides, a parallel term – Mobile backend as a service (MBaaS) came into focus. MBaaS is a model of cloud computing, which facilitates developers in using the range of available databases and authentication services.

    But today, serverless architecture has got a new meaning. It means having stateless calculating containers and event-driven functions. Many service providers are in providing Functions-as-a-Service ( FaaS).

    With the help of FaaS, the developers can implement the code in response to different events without having to create and manage the infrastructure. So the term ‘serverless’ doesn’t actually mean that there are no servers involved. We, of course, need them for the codes to function. Being serverless implies that there is no compulsion on businesses to rent, provision, or purchase a server/VM for developing any application.

    The Structure of a serverless architecture
    Serverless architecture has a web server, client application, FaaS layer, Security Token Service (STS), user authentication facility, and a database.

    Web Server – A sturdy and manageable web server is essential. All of the necessary static files for your application like HTML, CSS, and JS can be handled via the server.
    Client Application – The UI of an application renders better on the client side in Javascript which enables to use of a simple, static web server.
    FaaS layer– It is a fundamental part of the serverless architecture. There will be functions for every event, like logging in or registering in the application. These functions can read and write from the database and give JSON responses.
    Security Token Service (STS) – It will produce temporary keys (secret key and API key) for the end users. Such temporary credentials which the client applications use summon the functions.
    User Authentication Facility – With such user authentication functions, you can easily enter into your web and mobile apps by signing up and signing in.  The options you get to register or sign in via other social platforms like Google, Facebook, or Twitter are the examples of user authentication functions.
    Database – The database needs to provide fully managed assistance. After all, the fetching and pushing of data require a robust database which can perform in less time.

    Microservices to FaaS
    Traditional server code and serverless code with FaaS can work together as microservices.  The unified applications are split into smaller chunks of separate services which helps in developing, scaling, and managing them autonomously. So, in FaaS you find a step ahead as it breaks down the application in the various levels of event-driven functions.

    Although, there still lies a choice of using both FaaS and microservices. A web application can partly have both. The end user bothers least about how your application is made; the only condition is, it should behave and execute fastly and adequately; this is achievable by using FaaS and microservices together as well.

    Thinking ahead of Containers and PaaS
    FaaS, i.e., serverless architecture or serverless computing removes many deficiencies of PaaS like, differences between operations and development or issues of scaling.

    By using FaaS, scaling the application becomes totally clear. Even if the PaaS application has been set to auto-scale, you can’t change as per different requests. For that, you must know which traffic trend is on. Therefore, a FaaS application proves cost-efficient.

    The FaaS model executes functions within a millisecond for handling unique requests while the PaaS model works the opposite. A thread continues running for a much longer time handling multiple requests. Therefore, this difference impacts the pricing factor and causes visible changes.

    Further, serverless computing or serverless architecture can change the face of containerization. The containers can’t scale automatically like a PaaS model. Kubernetes uses smart traffic analysis and metrics of load-implication with Horizontal Pod Auto-Scaling. In the future, it may cause them to scale automatically.

    27
    With the current digital era, it may feel like migration from legacy systems to the cloud is an effortless task, just similar to drag and drop, but it is not. After all, migration to the cloud is not just a task of uploading every single thing on a cloud! It demands accurate transfer of the complete data without any loss. Many organizations have experienced a failure during migration activities. You might succeed in the primary move, but you may sure-shot face some issues post-migration that will cost a lot to your organization. So, why is it so difficult? And, why is it still so essential that you should migrate to the cloud? We will see ahead.

    on from legacy systems to cloud is an effortless task, just similar to drag and drop, but it is not. After all, migration to the cloud is not just a task of uploading every single thing on a cloud! It demands accurate and lossless transfer of all the data. Many organizations have experienced a failure during migration activities. You might succeed in the primary move, but you may sure-shot face some issues post-migration that will cost a lot to your organization. So, why is it so difficult? And, why is it still so essential that you should migrate to the cloud? We will see ahead.

    THE MASSES ARE NOT ALWAYS RIGHT
    Just because everyone is migrating to the cloud doesn’t mean you too have to just go with the flow. Your applications might not be suitable for the cloud, and they still are valued by your employees, partners, and customers. Apart from the application being any standard VoIP contact or phone service, and cloud computing – you must have a full-fledged plan to work migration out.  Planning things can cause delays and constantly changing demands pressure up the IT infrastructure. You need to be variable to these demands, else the below issues can multiply the risks of your legacy systems –

    Aging Infrastructure
    Scarcity Of Resources
    Performance Issues
    Security Risks
    Corrupted Data
    Maintenance Costs
    Compliance Issues


    If you don’t address these issues then your legacy systems will become obsolete in due course of time and a vital change will have to be made to stay competitive and compliant with the law.

    You can take an example of Windows XP here! Windows XP quickly became popular after its launch in 2001, so much so that people were not ready to leave it even when the Vista version appeared in 2007! Moreover, when Microsoft ceased supporting XP in 2014, people still used it illicitly because of the experience it gave to them. So, relate your legacy infrastructure to XP. If people continue to use it, at one point or the other, they are going to face numerous problems. Even while migrating to the cloud, several issues can creep up in creating system compatibility and even your users will need time to adjust.  But, fear not! All you need is an appropriate cloud service provider that can help you out in providing precise solutions and help you in your digital transformation.

    Now, let us have a look at the challenges of migrating legacy applications to the cloud and what points you need to check before you decide to migrate.

    THE CHALLENGES OF LEGACY SYSTEM MIGRATION TO CLOUD
    Just migrating your legacy system to the cloud won’t make it magically perform fantastically with compliance and security. You need to find a proper hosting partner that offers you high-end technology, skilled people who carry out smooth processes, and continuous monitoring of your resources. 

    The hosting partner you are looking for should have the following things for the benefit of your company –

    A wide array of experience in architecture and deployment
    Superior engineering skills
    The application expertise
    Accurate consulting capabilities
    The first thing you need to do is a full-scale tune-up of the complete system by which, it will become acquiescent to the cloud. Think of this as a broken engine desperately needing maintenance and repair. You can’t just fit the old engine into a new car body and expect it to run just fine. You will have to fine-tune it, and in some cases, also re-construct the engine’s foundation to get the expected results.

    Besides, the transformation and migration process also involves the below given aspects –

    Understanding customer’s pain points
    Finding broken elements and blind spots
    Using time-tested design patterns to tweak and tune the engine
    Surrounding your applications with robust secure infrastructure
    Implementing high availability strategies to eliminate problems


    These aspects ensure that the migration process happens smoothly. The consultative and proactive attitude towards the migration process with a comprehensive understanding of the applications will result in a clean, boosted, and sharp working engine, i.e., the infrastructure of your legacy system. The goal should be to create enough pliability so that your applications are able to provide the expected service. If you also think, that your legacy system needs migration to the cloud or you have some doubts about what exactly you could and could not migrate to the cloud, then please contact us. ESDS is happy to help you.

    https://www.esds.co.in/enlight-public-cloud-hosting

    28
    Miscellaneous / Cybersecurity in The Cloud: Here’s What It Means
    « on: May 03, 2021, 12:20:20 PM »
    Today, the adoption of cloud computing technology has grown tremendously by enterprises. Various leading cloud service providers such as ESDS have expanded their managed cloud services for protecting their existing cloud infrastructure. The customer, along with his cloud provider, is responsible for implementing the right cybersecurity service in the cloud for securing the data present on the cloud.

    Despite several benefits, consumers often face certain psychological barriers when protecting their critical data against external vulnerabilities, with data is hosted in a public cloud setup. An online survey revealed that the primary concern of the businesses rests with the data loss and leakage followed by legal and exposure challenges to the data.

    Consumer Apprehensions Towards Cloud Security

    Loss/Theft of Intellectual Property:
    Consumers often fear the loss or theft of intellectual property (IP) when moving to the cloud. Online data states that over 3.3 million patent applications were filed in the year 2018. The IPs depict the competitive advantages of the holding companies. Loss or theft of IP can create significant damage to the parent company as various other businesses in the same domain can imitate products as well as processes for much cheaper rates.

    Regulatory Compliance Violations:
    Today, every business organization follows specific compliance guidelines defined in its industry. A trusted & reputed cloud service provider, however, ensures that its cloud computing services align to the defined compliance standards that an organization needs to follow—not adhering to these guidelines cause compliance-related violations in the cloud computing security.

    Minimal Visibility of the Cloud Ecosystem
    One of the key concerns that businesses often face with a cloud computing solution is that their CSPs do not give them complete visibility into the cloud environment. When businesses opt for an IaaS or PaaS-based solutions from their CSP, these problem gets reduced significantly since the user can himself configure and manage the cloud environment.

    Reduced Control of Cloud Environment Settings
    Besides reduced visibility, businesses often tend to face lesser control over their cloud computing environments when using the cloud. Similar to the visibility aspect, the settings can be enhanced more with the IaaS and PaaS-based solutions.

    Lateral Spreading of Attacks
    Businesses also fear that if a cloud computing environment fails to have a robust defense controls, then it becomes easier for a cyber-attacker to spread the attack from one resource to another hosted on a cloud. This results in rapid lateral spreading & quick compromise across several databases and applications hosted on the cloud in breach-related events.

    Best Practices in Cloud Cyber Security
    Businesses should follow some of the best practices mentioned below for leveraging cloud computing in a secured way

    Having a Strong User Access Control/Least Privilege
    Much like the traditional security software, the business admins must use strong user access control mechanisms for defining who all can and to what limit they have access to the data. Having restricted access will make sure that only authorized users have access to the data present in the cloud. Also, by implementing the least privilege model ensures that only the authorized users can access that data only that they require for completing their due tasks.

    Using SSH and Securely Store Keys
    With the help of Secure Socket Shell (SSH) keys, one can establish secure server connections with private and public key pairs. As these keys are used for accessing sensitive data and perform critical tasks, it becomes compulsorily crucial for businesses to manage and securely store these SSH keys. Companies should implement policies related to cloud computing and ley management for monitoring how these keys will be created, managed, and removed when these keys reach their expiration.

    Using Encryption in Cloud
    Having data encryption in the cloud assures businesses that their data that is moving in and out of the cloud remains encrypted and secured. When selecting a cloud service provider, companies must know their security needs when deploying cloud services. Today, most of the CSPs offer encryption services, and these encryption services, when combined with other security protocols, allow the businesses to comply with regulatory policies like PCI DSS and GDPR.

    Performing Routine Penetration Tests
    Performing cloud penetration tests helps in identifying security vulnerabilities present in the cloud infrastructure. In the case of cloud computing, penetration testing often come as a shared responsibility, i.e., both- the business organization and cloud service provider can perform pen tests for determining vulnerabilities in the cloud.

    Using Multi-Factor Authentication
    By using multi-factor authentication (MFA), it allows the companies to secure their data and its account data using several authentication methods like- OTP, biometrics, security questions, etc. When an MFA is used in a cloud computing setup, it helps in restricting access to the data present in the cloud only to the authorized users and averting risks of lost, stolen, or even compromised login credentials.

    Concluding Remarks

    Cloud computing comes with several benefits and challenges for its end-users. Maintaining cybersecurity in the cloud is a joint responsibility of the cloud service provider along as well as the end-user. Misuse or lack of knowledge about the cloud environment can have quite severe implications, so one should make sure that strong cloud computing security policies are implemented to make sure that data present in the cloud remains secure at all times.

    https://www.esds.co.in/

    29
    Miscellaneous / How Secure is Serverless Computing?
    « on: April 30, 2021, 11:14:24 AM »
    Serverless cloud computing is a new arena for many enterprises, which makes it difficult for IT professionals for securing it due to lack of decent exposure, and most of the information about it is intended for developers thus making it difficult for the security professional to get a grasp how serverless computing works.

    This raises queries for the practitioners like, does the security compare to Virtual machines or containers? What measures can they take to evaluate if their organization is secured enough?

    Getting answers to such questions needs an understanding of how the serverless model works, what specific purpose it serves and how an organization can employ and benefit from it.

    A developer’s job in serverless is to deploy code without provisioning operating systems, compute instances, etc. and the Infra Operations do not need to be bothered either. The serverless application is dynamically scalable as per the cloud workloads.

    Serverless computing is not a sure-fire way to eradicate all traditional security problems, as the code is being executed and this is mostly a potential vulnerability. Let us explore the security aspects which IT Professionals need to keep in mind while working in an organization that is considering serverless computing as their next step.

    Few things you have to consider when addressing serverless cloud security. To begin with, this approach makes use of Web-Assembly or JavaScript while using them on the edge, making use cases a necessity but constrained to a specific degree. Because you are probably not going to write thousands of lines JavaScript code for running a legacy funds transfer system interfacing with the back-end mainframe.

    Secondly, segmentation is a significant factor to consider in a multi-tenant environment. Segmentation model is essential in multi-tenancy as undermining it could allow customers to access data from other segments. A hypervisor draws the segmentation boundary between multiple virtual OS instances. Container engines like Docker, draw those boundaries at the process level instead of so that multiple processes can run within one operating system instance under the scope of multiple containers.

    Isolates push the segmentation boundary further. With Isolates, the segmenting boundary that separates the data and execution state between customers can exist within the single operating system process.

    This is neither a good nor a bad thing for security. In recent years, segmentation attacks have been reported that challenge the segmentation models of container engines as well as hypervisors. This does not happen on a regular basis, but it can and occasionally does.

    There have been instances of side-channel attacks allowing data leakage across Rowhammer techniques and processes that can possibly cause data manipulation across segmentation boundaries. There is a possibility that such leaks could occur just as they may with any other tech in the multi-tenant context.

    It is of utmost importance that customers comprehend segmentation, and combine that understanding with information on the application being developed. You can evaluate usage by systematically analyzing, and usage of the application planned by the organization – E.g. when employing methodology for application threat modeling –, where implementing countermeasures would be appropriate if you need to strengthen the segmentation model and ensure robust application security.

    For more info about Server less Computing Visit:-
    https://www.esds.co.in/eNlight-cloud-function

    30
    Artificial Intelligence and Cloud Computing are considered the two most advanced technologies in a single theme.  Today, AI is becoming an indispensable component across every industry vertical, ranging from industries like Hospitals to Tourism. It is also proven that AI can be formulated to mimic a human and his behavior exactly.

    As per an online source, it is estimated that the overall AI market will be valued at $60 billion by 2025. The market was valued at $2.5 billion towards the completion of 2017, making it the fastest emerging technology market.

    This market segment’s significant growth will be driven by AI empowering Cloud Computing. Cloud Computing is an engine to extend the scope and impact AI can have in the bigger market.

    The rise of Cloud computing has been seen as a critical factor in building up all business areas, and the name ‘Cloud-local’ is worn as an image of respect. For newer organizations, the ability to move directly to the Cloud infrastructure has enabled them to surpass their rivals, tremendous quantities of whom have fought in the undertaking to incorporate Cloud into their unusual legacy structures.

    How AI Has Evolved Cloud Computing

    The new-age Cloud Computing structure is already witnessing the effects of Artificial Intelligence, which is an interesting change considering the presentation of transformational technologies like the Internet of Things (IoT). From the perspective of creating Cloud innovation, IoT and mobile capacities emerge as an extension to the current Cloud abilities.

    Clashing with the IoT and mobile model, applications-dependent on Artificial Intelligence need explicit run-time created for GPU (Graphics Processing Units) concentrated AI solutions, alongside the refined backend services. Uniting data, AI, and AI with Cloud innovation implies, both humans and AI would have the alternative to look at the colossal proportions of data. They would get more information than any other time. A mix of these advancements implies a high volume of data to be managed in a more limited period.

    Artificial Intelligence in Cloud Computing

    The previous few years have shown amazing investment in a Cloud platform’s AI abilities. ESDS is one of those companies that has been working and developing more on Artificial Intelligence and Cloud Computing.

    Artificial Intelligence in Cloud Computing
    So, how is Artificial Intelligence benefiting the types of Cloud Computing?

    A. Artificial Intelligence and IaaS

    Clients generally utilize cloud application improvement administration. It permits users to pay based on the service’s usage and a flexible plan. Artificial Intelligence as a Service permits people and organizations to explore different avenues regarding AI for various purposes without huge initial investment and with lower risk. Experimentation can permit the sampling of various public cloud platforms to test different machine learning algorithms.

    B. Artificial Intelligence and SaaS

    With this, the Cloud provider and users are not tasked with management and maintenance. All the user needs to carry out is gain access to applications present over the web using a browser on his device. Today, SaaS can be easily accessed over the Internet or on a subscription basis.

    SaaS and Cloud organizations are now extensively utilizing AI & Machine Learning stages to scale their income by offering better products and customized client experiences.

    Looking into the current scenario, a year and a half from now, organizations with annual revenue between $100 and $150 million, the extent of AI-driven organizations would develop to 24%. The greatest development factor pushing the appropriation of AI inside these organizations is – Data Analytics, trailed by Personalization of On-site content and experiences.

    C. Artificial Intelligence and PaaS

    This form of service is intended to make web creating and mobile application design simpler with an inbuilt infrastructure of systems, databases, and capacity required for constant updation and management.

    With the growing popularity of AI, Cloud Service Providers (CSPs) have now begun to provide their services exclusively for an explicit undertaking like- detection objects in a video, recognizing faces of popular celebrities, or even converting speech into text. A section of these suppliers has now stepped ahead by offering a relatively helpful setup in the form of AI Platform as a Service or AIPaaS.

    Conclusion

    It is now clearly visible that Artificial Intelligence is the future of technology, with Cloud Computing maintaining its supreme position. Major Cloud Computing providers have accepted that the combination of AI & Cloud Computing will transform the Technology industry’s present scenario. Public Cloud providers will keep investing in AI development, resulting in acquiring the right set of end-users for this technology.

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