Looking for webhosting sites? Use Statsdom pages catalogue. Also you can be interested in Ford Webhosting services.

Show Posts

This section allows you to view all posts made by this member. Note that you can only see posts made in areas you currently have access to.

Messages - matin.esds

Pages: [1] 2 3
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.

    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:
    • 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:
    • 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.

    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.

    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.

    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.

    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:

    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.

    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.).

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

    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

    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.

    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.

    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.

    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.


    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.


    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:-

    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.


    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.

    General Cloud Hosting Discussion / Advantages of adopting public cloud
    « on: April 28, 2021, 10:31:31 AM »
    Public cloud is the most conspicuous type of cloud computing in which public cloud supplier renders applications, servers, infrastructure, storage and different assets to organizations or people in virtualized environment over the web. A couple of well-known cases of public cloud administrations incorporates Amazon Elastic Compute Cloud (EC2), IBM’s Blue Cloud, Esds’s eNlight cloud and Microsoft Azure Platform.

    According to Britz, research executive at Gartner -“public cloud reception is quickening and public cloud administrations do, and will, rip apart IT administrations spending in the coming years, most remarkably in the Datacenter“.

    Let’s take a look how Public clouds are gaining grounds in every leaps and bound

    Advantages of public cloud hosting
    Public cloud hosting has multiple advantages. But the following are the most important ones

    Flexibility & scalability:
    Flexibility enables users to develop mobile, web, IOT (internet of things) and business applications for any devices or platforms as it is compatible with different operating systems, frameworks, devices, databases tools and languages. And scalability enables them to scale resources such as bandwidth, storage and RAM as per their business requirement and scale them down when not necessary.

    Reduce CAPEX & OPEX:
    Public clouds pay per consume feature enables the customers to only pay for the resources they utilize it is the same as paying your utility bills.

    Besides that, the public cloud offers you some assistance with getting the most out of your current IT framework, wiping out the need of an upgrade. In this way, it spares your money and assets from getting squandered.

    Additionally, its multi-inhabitant environment (unified administration) permits different clients to share figuring assets which make it cost proficient as foundation expenses are spread over all clients.

    Go Global:
    Another real advantage of public cloud administration is that it is accessible from anywhere & anytime by means of Internet. This gives numerous chances to organizations like remote access to IT infrastructure or online document synchronization from various locations.

    Esds’s eNlight cloud is a fine example of this utility of public cloud.

    It enables users to store important data, files, documents, videos, etc. which are accessible from anywhere users don’t have to maintain and deploy any expensive storage infrastructure for the following. It also helps in maintaining privacy and backup of the critical data.

    100% Uptime:
    Public clouds like eNlight cloud give you 100% uptime and no risk to failures. Public cloud is a cluster of multiple servers so if any one of the servers fails another one takes it place thus enabling 100% uptime without any latency.

    Miscellaneous / How, What, Why’s of hybrid cloud orchestration?
    « on: April 27, 2021, 09:48:54 AM »
    Hybrid Cloud Orchestration

    There has been a significant increase in the use of cloud computing technology over the last few years. This demonstrates a great opportunity for business innovation, especially those businesses wanting a secure and flexible infrastructure solution, which if we look at, is clearly what hybrid cloud solutions outline.

    Hybrid cloud is attracting a lot of attention because of its ability to enable clients to utilize wide-ranging capabilities of public cloud while still utilizing private cloud deployment. Hybrid cloud mixes on-premise private cloud and third-party public cloud services with hybrid cloud orchestration platforms and allows an easy flow of workloads between private and public clouds. As computing requirements and investments evolve, hybrid cloud gives businesses greater flexibility and more data deployment options.

    Orchestration is fairly new to the IT industry. Organizations are building huge data-centers with the latest virtualization technologies like VMWare and Hyper-V and eNlight 360 while trying to scale their operations.

    Virtualization removed hectic of managing physical hardware, but many organizations struggled to manage the deployment of hybrid cloud and the daily management of all of this new capacity. Orchestration frameworks aim to resolve this issue with software-based tools. These tools help engineers in automating environments and speed up resource deployment.

    Engineers have developed a liking for Orchestration. Orchestration tools like Ansible, Chef, and Puppet have become common sights in most infrastructures for application deployment and for maintaining virtual resources. Every tool will have varying pros and cons, but the basic goal is to create an outline that will be used to ensure that all the server resources are in sync with the standards of other resources. On the virtualization side, many service providers offer bundled products such as eNlight 360, Administrators can build automated deployment tasks on top of eNlight 360’s built-in orchestration tools and APIs.

    A number of organizations depend on the efficiency of the orchestration tools for determining labour costs, production time and the overall workload efficiency to archive business goals. The efficiency of orchestration affects the total cost of many It projects directly. If a company is choosing Orchestration for their infrastructure management they must be completely aware of its benefits as well as its drawbacks before jumping blindly into uncharted territory.

    Hybrid clouds have resources spanning from both private and public infrastructures, creating a new level of complexity which an orchestration platform should be able to handle. Orchestrating a new VM instance is just not enough, an orchestration tool in a hybrid cloud must be capable of determining the best location for deploying that instance, derived from factors like performance, cost, workload importance, and security requirements.

    What is a typical hybrid cloud orchestration stack made of?
    Although there isn’t one single stack or framework for orchestrating a hybrid cloud but let’s look at what a standard stack should include.

    The lowest level should comprise of local and public cloud resources like for e.g. computation, data storage and the networks requiring orchestration.

    The next level is the hypervisors like VMware ESXi, Microsoft Hyper-V, and the Linux Kernel-based Virtual Machine. The second level also consists of container engines generally installed in the data center. Private cloud is founded upon the virtual foundation of hypervisors and containers.

    The third layer houses the private cloud software, such as OpenStack or Apache CloudStack. Companies that use containers may use Kubernetes implementation as their container orchestration tool on this level.
    The last level consists of the hybrid cloud orchestration tool. IT teams can install this tool locally or it might be delivered as a managed service.

    What are the challenges when adopting hybrid cloud orchestration?
    Implementing and maintaining orchestration is not at all automatic even when orchestration is coupled with automation.

    Deploying the orchestration tool is mostly easy for most IT teams while narrowing down the processes that need orchestration and how to do carry them out is way more complex. These requirements are unique in every organization. You will have to evaluate your IT processes very carefully, translate these processes into a code and keep updating them as needs from the business and users change.

    Orchestration tools can also run into problems, while working with hybrid cloud, where the platform must adequately support both the private and public infrastructure. Although modern hybrid cloud orchestration tools are still at rudimentary stages, products like Ansible, eNlight 360 and Puppet are truly coming around with solutions well equipped to handle bugs and periodic updates that may affect existing runbooks. What’s more, IT teams can now easily ensure high performance by optimizing the software and the local hardware to supports it.

    Security is not a significant concern in private clouds, where traffic and activity are confined to a local data center. But hybrid cloud orchestration tools can create additional risk, as they use APIs that aren’t always encrypted. Choosing orchestration tools with additional encryptions to secure the traffic on WAN network will go a long way.

    Finally, don’t overlook network connectivity. Private cloud orchestration merely requires a LAN, but once an IT team extends orchestration to public cloud, adopting a reliable and responsive WAN connection will keep the workload running efficiently. In some cases, an existing internet connection between the public and private clouds might be adequate. However, most enterprises will opt for a redundant, high-speed internet connection or a dedicated low-latency connection to the public cloud, such as a direct connect.

    Hybrid cloud adoption comes with obvious potential to support rapid organization growth offering business continuity, more opportunities for innovation, increased speed to the markets, improved connectivity and highly secure systems.

    With the flexibility Hybrid cloud provides orchestration tools are on the rise. Learn all about Hybrid cloud orchestration and how to choose the best one fit for your organization.

    Landing URL:

    eNlight IoT- the best-in-class Cloud-based IoT platform has transformed the communications & interactions taking place between the user devices. eNlight IoT provides a secure channel for interaction to take place between Cloud applications and other devices. It hosts and supports a diverse range of devices, resulting in easier processing and routing messages to nearby devices.

    All the solutions running on eNlight IoT are created with MQTT (Message Queuing Telemetry Transport) and Restful API Protocols.

    How eNlight IoT Works

    eNlight IoT Architecture

    IoT devices present all over India connect with eNlight IoT platform with the help of using data collectors available at 4 Metro Cities
    Data Collectors at Metro Cities results in faster connectivity and lower latency taking place between eNlight IoT and user IoT devices
    IoT devices connected to the nearest data collector has the shortest network path
    Low data latency to Cloud causes faster decision-making & analytics

    Features of eNlight IoT
    Device Connection Management- With eNlight IoT, users can connect their devices to a Cloud platform and nearby devices. Its small code footprint and lower bandwidth requirements make the best-in-class for IoT and M2M communications.
    Secure Device Connection and Data Transfer- eNlight IoT provides authentication and access control along with end-to-end encryption taking place across multiple connection points. The data of devices can be securely accessed using access tokens.
    Real-time Data Management- eNlight IoT allows users to collect, filter, and transform their device data dynamically, based on their customizable business rules. These rules are flexible and can be updated for implementing new devices and application features at any point of time.
    Rich Data Analytics & Insights- With eNlight IoT, users can collect, visualize and analyze their devices’ data on the ESDS IoT dashboard. User data can be visualized using graphs and multiple widgets.

    eNlight IoT Use Cases
    1.Monitoring of Data Center Environment
    eNlight IoT environment monitors devices and detects temperature, humidity, or presence of water at the Data Center locations. It also constantly monitors the physical environment of the user’s IT Infrastructure.

    2.Vehicle Solutions
    eNlight IoT is the right solution for vehicles as it detects fuel status, vehicle’s battery condition, and vehicle location, to name a few. Using eNlight IoT solution, the owner of the car remains stress-free regarding his surroundings while driving.

    3.Health Care
    eNlight IoT has several applications in the healthcare industry, ranging from remote monitoring to smart sensors & integration of medical devices. With eNlight IoT, patients can be kept safe and healthy and also, the delivery care of physicians can also be improved. IoT in healthcare can boost patient engagement and satisfaction levels by spending time in quality interaction with the medical service providers.

    4.Smart Cities and Smart Home Solutions
    Addressing the growing demands of cities and their governing bodies, IoT devices are being extensively used for a wide array of uses. With IoT, the governing bodies of a city are able to enhance their services, reduce overhead costs and improve communication channels.
    The smart home application of IoT devices allows users to create customizable control rules for increased security and efficient management of energy resources.

    5.Industrial IoT (IIoT)
    eNlight IoT allows enterprises to collect, aggregate and analyze data collected from sensors for maximizing machine efficiency and the overall throughput of an organization. eNlight IoT’ uses in Industries include- motion control, predictive maintenance, smart energy, big data analytics, and smart & connected medical ecosystem.

    Cloud Computing exists from a long time but one can say that it has become popular in recent era. Cloud has given a real  different dimension to the IT world. Cloud is a new computing model. Basically, IT resources and services are taken from an onsite infrastructure and are provided on-demand in a dynamically scalable environment. Cloud Computing gives Small to medium sized business immediate, on-demand computing and storage resources without upfront costs.

    Cloud Hosting considered as the most effective and feasible solutions for the IT environment. Cloud has provided increased efficiency and scalable structure too.  Cloud accelerates Small to medium businesses by allowing transformation of ideas into marketable products and services with greater speed. Cloud can provide virtually limitless scalability, giving Small and medium sized businesses the ability to grow without time and resource intensive IT build-outs. Many a cloud company provides a comprehensive approach that includes infrastructure, platform, and productivity capabilities, as well as the option to choose public cloud, private cloud, or both.

    One of the best characteristics includes the pay as you use in cloud hosting services. It has been a new concept made keeping in mind according to the need and demand of the user’s. Cloud is revolutionary for the economics of small-medium businesses in IT. In the past, IT has been capital intensive and now can be pay-as-you-go. Underlying infrastructure, capacity and costs are assessed, providing a tiered approach to need. An analysis of current on-site IT costs versus the ROI for Cloud should give a strong indication of the best approach for small to medium businesses.

    Cloud has emerged as the one of the powerful resources, which has brought stability and consistency in the IT structure with the advancements of sharing the resources. Cloud brings powerful IT resources to the masses. A business of any size can access information technology resources that previously were out of reach. Best of breed applications and computing infrastructure are available to all without a considerable up-front investment. Cloud unlocks revenue potential for any business. Companies can enter new markets, acknowledge and act on changing customer needs, create and provide added value, as well as achieve cost-effective strategies.

    The different type of facilities like Private Cloud and Public Cloud can serve as a better infrastructure for the masses which is customized as per the needs and wants. Cloud can enhance information management and diminish risks. Protect classified information through mobile systems that can sense their physical environment providing automated security and simplifying disaster recovery. Cloud does not always offer the best business solution. Some Cloud solutions restrict the ability to customize functionality or cannot assure quality of service. Stringent compliance or technical requirements may demand other approaches. Businesses will need to determine where Cloud is most appropriate around cost, risk, and performance.

    For more info Visit:-

    There has been a tremendous revolution in the web hosting industry when cloud computing came into existence. A web server is a base for hosting the environment which can be said as the essential requirements.

    cloud computing

    When cloud computing is compared with a typical web server then there are several significant differences. Because Cloud Computing Hosting is the modern technology that has been introduced in a short while and the web server being the base of the technology various differences can be jotted down.

    Cloud computing and web hosting can look related because these two types of services can have pretty similar kinds of setups and deliver a lot of the same results. However, there are some crucial differences between cloud computing and web hosting services that have to do with the technical description of each.

    One of the primary difference consists of that Web Server Hosting is the service which has been implemented and Cloud Computing is the technology which is in existence.

    Web Server primarily consists of space which has been leased or purchased by the owner, whereas with cloud computing, you’re using applications (like email, word processing, spreadsheet, photo editing) that are located on a remote server somewhere, but using them as if they were programs on your computer. Google Apps (Google Documents, etc.) would be a great example of that. The program exists on a remote server, but you’re using it on your machine inside a web browser, and usually saving your files to the remote server so they can be accessed from any computer you use.

    Cloud Computing
    Cloud Computing has been in demand since it came into the existence with the popularity of simplified storage structure. It is simply the stipulation of technology-based resources (processor power, storage, and networking) on-demand, just like the power company, that provides you with electricity to the plugs in your house. Reliable cloud computing is when a data center engineer provides you with virtual computing resources that you can grow and shrink (or move) as required through some kind of control panel. You have almost full control of the software on your virtual servers including the OS but, you don’t need to bother about any hardware issues.

    Cloud hosting offers you unlimited resource expansion, which is great to have if you have a booming website. Your site will also be shielded from malfunctioning servers, as it can be switched to another server if it’s underperforming.

    Cloud hosting support for a few key reasons:

    The pricing is flexible and you simply pay for what you use.
    It is incredibly scalable
    It has a phenomenal uptime and performance.
    Web Server Hosting
    Web hosting is just the process of offering remote locations and support for files and server space used to help web projects. With standard web hosting, you will be maintaining your site’s data on a single server. The kind of server environment you wish will depend upon the size of your website, how much traffic you experience, including your level of technical skills.

    The primary types of hosting you will come across are:

    Dedicated hosting

    Shared hosting

    Managed hosting

    VPS Hosting

    Furthermore, when it comes to choosing one, it is very tough to make the right decision. Think about the service that works better for your business, what kind of things your host requires when you try to decide among cloud and web hosting.

    If you are a beginner, and looking for an inexpensive hosting option with special features that can manage your current traffic levels, shared web hosting is the most suitable option.

    But, if you experience high traffic or a rise in visits or if you require in-depth security features, Cloud hosting is ideal.

    To conclude

    In this article, we have described the difference between cloud computing and web server hosting, I hope that your confusion is cleared now.

    Stay tuned for more updates.

    Happy Learning!


    The term ‘colocation’ or ‘colo’ is actually getting popular because of its ease of use. The businesses are heading towards colocation data center with their own servers and IT assets but, some still struggle to understand how to increase revenue by choosing the best colocation data center provider.

    So, what are some of the main challenges in the arena of server colocation? If you are in regular contact with the marketing and sales departments of the colocation data center, then you must be getting to know about the vast range of colocation trends in various target markets. In the colocation data center market too, the services and customer’s average lifetime value differs. Therefore, all colocation data center providers end up designing a different plan for solving issues and increasing revenue growth. Finally, there is only one thing that colocation is widely based on, and that is nothing but the location and the assets. Although, assets with a lot of value-additions can be rented on a premium package too.

    Colocation services are growing continuously, but the colocation data center market still faces some challenges which are in the addressing phase. For example, the stiff competition from the multiple cloud-based solutions and CIOs being reluctant for not giving complete control of data, infrastructure, etc. are few of the common issues. In the current scenario, the challenges of the colocation data center market aren’t much discussed.

    So, let us have a look at the challenges and their probable solutions for enhancing the colocation data center market.

    1. Cost of Energy and the Need for Green Data Centers
    It is evident that the increasing demands of a data center raise the requirements for energy too. Reports suggest that data centers top the list of highest electricity consumers and still the demands are going to grow by more than 52% (approximately) by 2020. Generally, data centers are seen as useless power hogging and polluting industries due to the enormous carbon footprints they leave behind.

    Solution – The colocation data center providers can beat this notion as they use energy more efficiently and even other sources of power.

    To lessen the extra and unwanted redundancy, DCIM (Data Center Infrastructure Management) tools can prove effective in removing it. To create a green data center, there is a huge scope in exploring renewable energy resources like wind, solar, and geothermal.

    Another option which some data centers use is taking primary energy source as electricity and further fueling it with the natural sources. Using electrical source just as a back-up option, eliminates the pollution of the DGs (diesel generators) which are used as back-ups. In future, there would be an increase in facilities because there won’t be enough space left; then, the options like liquid cooling instead of air can be more widely implemented.

    2. Merger or Market Consolidation
    The current colocation data center market is already huge, and the revenues are going to increase in manifolds. At a CAGR of 15.4%, it is going to become a $55 billion (approx.) industry by 2020!

    But in the current scenario, the colocation data center market is also witnessing an increase in buying and merging or consolidating the firms around the globe. The consolidation happens for the obvious reasons like cost savings in the global market and raising the bar of security levels, protocols, and compliances.

    Solution – The above fact reveals the need for small and mid-sized colocation data centers to come together and compete with the more prominent brands. They need to either provide services and solutions to the niche markets or unique ones who can make them stand out. Hence, merger or consolidation is a trend these days.

    3.Increase in Containerized and Modular Data Centers
    One of the problems that colocation data centers witness is the reluctance of CIOs in handing over the complete control of IT assets and infrastructure. The main benefit that colocation data centers get is building their own facilities and/or renovating the current buildings. Although, rather than building new ones, firms are more interested in choosing secure, efficient, less costly, and containerised/modular solutions.

    As per a report, in 2017, the global containerised data center market had a value of $ 4.78 billion, and by 2023 it is forecasted to reach up to $ 18.64 billion with a CAGR of 25.46%.

    Solution – Colocation managers, have to know about this trend and leverage the benefits of colocation. Further, the colocation data centers can also have modular design and containers, so that they can provide two-in-one benefits of colocation and stand-alone containers together. This modularisation method is in process.

    Do you all have anything to add to the techniques that the colocation data center markets can further enhance? Let us know your views.

    For more info Visit:-

    Pages: [1] 2 3