Plesk integrated Windows Cloud Servers

February 10, 2021

What are Plesk integrated Windows Cloud Servers?

Since its foundation back in 2000, Plesk has grown up to become one of the most used web cloud computing control panel software. This innovative control panel, available for Windows, makes it seamless to manage and automate the content on the most used content management platform: WordPress. It is being currently used to automate 12M+ websites and 16.5M+ mailboxes across 140 countries.

When the management of Plesk is merged with the revolutionary cloud servers, we get what we call the Plesk integrated cloud servers. With E2E Networks’ Plesk integrated cloud servers, you can get started with Content Management Systems (CMS) within a few minutes. That’s because we have made CMS simple for you. 

What are Plesk Integrated Windows Cloud Servers?

As mentioned, Plesk integrated Windows cloud servers are cloud servers equipped with all the features of Plesk with Windows OS. They let you launch a Plesk server within a few clicks and get you started with efficiently controlling your content across multiple CMS platforms.

The best part is that you can leverage all the Plesk features with cloud servers’ benefits, including enhanced security, centralized collaboration, improved scalability, redundant server environment, and optimal pricing structure. Hence, it brings you the best of both Plesk and cloud computing so that you can quickly scale your business seamlessly.

Plesk integrated Windows cloud servers further enhance the security of your cloud-based websites and web applications with various tools and applications. For instance, Plesk supports tools such as SSL certificate, backup manager (to automate backup), firewall management, and DDOS protection. The blend of Plesk and cloud servers lets you create highly cost-effective innovations. It enables you to work flexibly to get the maximum productivity output. Also, you have the scalability feature that allows you to deploy single or multiple complex sites and applications all within the same time frame.

E2E Networks’ Windows cloud servers come with pre-installed Plesk with all the licenses of Windows OS, making it easier for you to manage nodes, instances, and machines using an interactive Graphic User Interface. Hence, Plesk integrated Windows cloud servers become the best for WordPress multisite cloud computing

Its simple UI and ease of navigation make it equally beneficial for everyone, making it a must-have Windows server cloud computing control panel.

Who’s Plesk Integrated Windows Cloud Servers for?

Plesk and Plesk integrated Windows cloud servers are for every web professionals, including IT admins, content managers, developers, and digital agencies.

  • IT admins

You can manage and automate websites, bandwidth usage, emails, and accounts from a single and simple dashboard. Plesk integrated Windows cloud servers are compatible with several web servers. The feature that will excite you the most as an IT admin is that they provide optimal security.

With tools and technologies such as Firewall management, Rootkit detection, Fail2ban, and DDOS protection, Plesk integrated Windows cloud servers are best for Windows Cloud servers. Not only that, they also give you control by allowing you to provide role-based access, making it the first choice for WordPress deployment.

  • Developers

Plesk integrated cloud servers bring you an integrated platform with full-fledged development and deployment platform. They allow you to alter, deploy, and run changes without any hassle right on Windows or WordPress cloud.

The integrated coding framework lets you add, alter, or delete code and access the database on the go. It also gives you access to numerous other features, including SEO tools, CMS, analytics tools, and marketing services on a single tap.

  • Content managers

You can choose any CMS platform: WordPress, Drupal, or Joomla based on your preference as Plesk provides support to all. Plesk allows you to manage and automate multiple instances from a single platform. It also allows you to secure your CMS in a single click.

With the most preferred CMS platform, WordPress, Plesk integrated cloud servers provide you with additional benefits as they come with an Ultimate WordPress Toolkit. The Toolkit enables you to mass-manage all the sites, instances, themes, and plugins effortlessly. It also lets you clone your sites and then make changes so that you don’t have to mess with your live website and always have a backup. Hence, with Plesk integrated cloud servers, E2E Networks is the best WordPress cloud server option you have at your disposal.

  • Digital agencies

Plesk integrated cloud servers offer a single stop solution for digital agencies. They provide you with a single view dashboard that lets you get a master view across all your Joomla, Drupal, and WordPress projects. 

It offers features such as managing multiple servers from a single place, offering value-added services, providing role-based permissions, an advanced development feature set, and a robust CMS toolset. Plesk and Plesk integrated cloud servers with such features make it a win-win for everyone within a digital agency.

What are the Features of Plesk?

Plesk brings you tons of general features, but what makes it stand out from other control panel software is that it also provides specialized components for IT administrators, developers, and digital agencies.

Plesk General Features for Everyone

  • Hundreds of extensions: Plesk offers hundreds of APIs, plugins, and other attachments to access internal and external features across multiple CMS platforms and repositories such as GitHub and Bitbucket.
  • Domain: Easily add multiple domains and subdomains, and rearrange them among all your subscriptions. Also, secure them with SSL certificates in a click.
  • Email: Webmail support for setting up automated email notifications and responses. Plesk also allows auto-detection of clients on Outlook and Thunderbird.
  • Database: MariaDB database support for easy management of data on customer sites.
  • Files: Upload multiple files simultaneously and search among the uploaded files with the improved file manager.
  • Application catalog: Supports multiple third-party applications.
  • Backup: Schedule and automate the backup process to prevent losing any data.
  • Mobile apps: The pocket-friendly version of Plesk allows you to manage your business on the go.
  • Website builder: Supports multiple site builders so that you have the flexibility to create a fully responsive website.
  • Multi-language support: It is available in 32 languages.
  • Self-repair tool: With advanced monitoring capability and self-repair tool, Plesk can handle minor technical problems without manual support.

Apart from these general features, Plesk offers several exclusive features beneficial for professionals, including IT administrators, developers, and digital agencies.

Plesk Features for IT Administrators

  • User accounts: Lets you create accounts and set different credentials for individual users.
  • User roles: Grant role-based access to various users for different features and functionality.
  • Subscriptions: Create and manage multiple subscriptions efficiently.
  • Service plans: Choose from multiple service plans based on disk space and bandwidth requirements.
  • Mail server support: Pre-installed mail server support for both Linux and Windows.
  • DKIM, SPF, and DMARC protection: Prevent phishing attacks with standard email protection.
  • Database management: Manage even vast databases seamlessly.
  • System resource usage limit: Limit the amount of usage by an individual subscription.
  • PCI DSS compliance: Get PCI DSS compliance for Linux servers.
  • Task Scheduling: Schedule various tasks on the go.
  • System updates: Update packages manually or set them to be updated automatically.
  • Plesk migrator: Migrate to different panels, including cPanel, DirectAdmin, Confixx, and more.

Plesk Features for Developers

  • Ready to code environment: Supports multiple programming languages like PHP, .NET, Javascript, Python, Pearl, Node.js, Ruby, and more.
  • NGINX: Scale-up PHP processes using NGINX. Also, manage how different websites use cache to enhance the performance of your WordPress sites.
  • Git integration: Integrate Git repository to push and deploy your websites from local or remote repositories.
  • HTTP/2 support: Speed up the data pocket communication over the network with HTTP/2 support.
  • Docker support: Access, alter and push Docker containers to quickly deploy them in your code.
  • Command-line interface: Use the command line to monitor, manage, and use Plesk objects to perform different operations.
  • XML API: XML API lets you interact with third-party applications.
  • SDK: Unique Software Development Kit (SDK) to customize your coding environment.
  • Cloud backup: Backup unfinished code to your preferred cloud server.
  • Event handlers: Efficiently handle events and set up actions to perform when they are triggered.

Plesk Features for Digital Agencies and Web Designers

  • Developer dashboard: Plesk gives you a single-view dashboard to monitor and manage all your projects across different CMS platforms such as WordPress, Joomla, and Drupal.
  • Server health monitor: Ensure that all your sites are running smoothly without any interference with the help of a server health monitor. It also lets you keep track of resource usage by a particular website.
  • Reports: You can generate and export resource usage reports for all your sites. Analyze the reports to make informed decisions.
  • Easy monitoring: Show error messages and warnings from the Plesk interface itself.
  • WordPress toolkit: It is an all-in-one toolkit for efficient management of all your sites running on WordPress.
  • Joomla toolkit: It is an all-in-one toolkit for efficient management of all your sites running on Joomla.
  • Branding: This allows you to easily customize the UI on any website and give your unique touch to the UI to enhance your brand.
  • Developer environment: Ready-to-code environment to alter the code and manage small glitches and bugs found in the code.

These are some of the features you get with Plesk. Now, imagine all these features, along with the benefits of cloud computing. That’s what Plesk integrated Windows cloud servers bring to you.

Why Choose E2E Networks’ Plesk Integrated Windows Cloud Servers?

While the features of Plesk integrated cloud servers are tempting enough, the additional benefits of E2E Networks make it the best option for Windows cloud servers. The Plesk integrated cloud servers on E2E Networks’ clouds provides other benefits such as:

  • Latest hardware: Our cloud servers are powered by Intel Xeon processors, which are x86 microprocessors suited for servers. 
  • High reliability: Our Plesk offerings are backed up by a massively 99.9% uptime Service Level Agreement (SLA), ensuring in-time services.
  • Best Latency: Our data centers offer a very high-bandwidth and low latency for seamless network communications.
  • Full Feature: E2E Networks’ Plesk integrated cloud servers use Plesk Onyx, the latest software version. Since it is the newest version, it is equipped with all the software features, including easy setup and optimal security.
  • Content management: Pre-installed Plesk in our Windows cloud servers, allows you to deploy content within a few minutes. Also, the cloud development framework for Plesk makes it easier to code, develop, and deploy content across all CMS platforms.
  • Access: We allow you to take control of everything. With our Windows VPS cloud computing, you get full root access along with all the administrative privileges on the server itself. Our Windows virtual cloud server allows you to run your own cloud copy, thereby giving you super-user level root access.

All these features and additional advantages make us the best Windows cloud provider. With all these advantages to leverage, you will handle all your resources, applications, and sites much more efficiently.

Our Plesk integrated cloud servers’ pricing system is broadly categorized into two groups: one with 30 domains and unlimited domains. You can also select from multiple plans and compare the clouds to choose the optimal pricing for yourself. Hence, apart from providing the best Windows cloud servers, we also offer everyone an affordable price range.

If you have any other queries, refer to our E2E’s Plesk FAQ page for help and assistance.

We provide Plesk integrated Windows cloud servers at minimal hourly rates, giving you a Windows cloud server option that provides value for money. You can leverage E2E Networks’ Windows cloud servers to run your mission-critical applications on the cloud servers through Plesk innovative control panel.

Apart from the Plesk integrated servers, we also provided services for top Windows cloud servers and other cloud computing services. You can leverage a high memory cloud server, cPanel server, and NVIDIA GPU cloud server, among others.

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A Complete Guide To Customer Acquisition For Startups

Any business is enlivened by its customers. Therefore, a strategy to constantly bring in new clients is an ongoing requirement. In this regard, having a proper customer acquisition strategy can be of great importance.

So, if you are just starting your business, or planning to expand it, read on to learn more about this concept.

The problem with customer acquisition

As an organization, when working in a diverse and competitive market like India, you need to have a well-defined customer acquisition strategy to attain success. However, this is where most startups struggle. Now, you may have a great product or service, but if you are not in the right place targeting the right demographic, you are not likely to get the results you want.

To resolve this, typically, companies invest, but if that is not channelized properly, it will be futile.

So, the best way out of this dilemma is to have a clear customer acquisition strategy in place.

How can you create the ideal customer acquisition strategy for your business?

  • Define what your goals are

You need to define your goals so that you can meet the revenue expectations you have for the current fiscal year. You need to find a value for the metrics –

  • MRR – Monthly recurring revenue, which tells you all the income that can be generated from all your income channels.
  • CLV – Customer lifetime value tells you how much a customer is willing to spend on your business during your mutual relationship duration.  
  • CAC – Customer acquisition costs, which tells how much your organization needs to spend to acquire customers constantly.
  • Churn rate – It tells you the rate at which customers stop doing business.

All these metrics tell you how well you will be able to grow your business and revenue.

  • Identify your ideal customers

You need to understand who your current customers are and who your target customers are. Once you are aware of your customer base, you can focus your energies in that direction and get the maximum sale of your products or services. You can also understand what your customers require through various analytics and markers and address them to leverage your products/services towards them.

  • Choose your channels for customer acquisition

How will you acquire customers who will eventually tell at what scale and at what rate you need to expand your business? You could market and sell your products on social media channels like Instagram, Facebook and YouTube, or invest in paid marketing like Google Ads. You need to develop a unique strategy for each of these channels. 

  • Communicate with your customers

If you know exactly what your customers have in mind, then you will be able to develop your customer strategy with a clear perspective in mind. You can do it through surveys or customer opinion forms, email contact forms, blog posts and social media posts. After that, you just need to measure the analytics, clearly understand the insights, and improve your strategy accordingly.

Combining these strategies with your long-term business plan will bring results. However, there will be challenges on the way, where you need to adapt as per the requirements to make the most of it. At the same time, introducing new technologies like AI and ML can also solve such issues easily. To learn more about the use of AI and ML and how they are transforming businesses, keep referring to the blog section of E2E Networks.

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Image-based 3D Object Reconstruction State-of-the-Art and trends in the Deep Learning Era

3D reconstruction is one of the most complex issues of deep learning systems. There have been multiple types of research in this field, and almost everything has been tried on it — computer vision, computer graphics and machine learning, but to no avail. However, that has resulted in CNN or convolutional neural networks foraying into this field, which has yielded some success.

The Main Objective of the 3D Object Reconstruction

Developing this deep learning technology aims to infer the shape of 3D objects from 2D images. So, to conduct the experiment, you need the following:

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By using the apparatus and datasets, you will be able to proceed with the 3D reconstruction from 2D datasets.

State-of-the-art Technology Used by the Datasets for the Reconstruction of 3D Objects

The technology used for this purpose needs to stick to the following parameters:

  • Input

Training with the help of one or multiple RGB images, where the segmentation of the 3D ground truth needs to be done. It could be one image, multiple images or even a video stream.

The testing will also be done on the same parameters, which will also help to create a uniform, cluttered background, or both.

  • Output

The volumetric output will be done in both high and low resolution, and the surface output will be generated through parameterisation, template deformation and point cloud. Moreover, the direct and intermediate outputs will be calculated this way.

  • Network architecture used

The architecture used in training is 3D-VAE-GAN, which has an encoder and a decoder, with TL-Net and conditional GAN. At the same time, the testing architecture is 3D-VAE, which has an encoder and a decoder.

  • Training used

The degree of supervision used in 2D vs 3D supervision, weak supervision along with loss functions have to be included in this system. The training procedure is adversarial training with joint 2D and 3D embeddings. Also, the network architecture is extremely important for the speed and processing quality of the output images.

  • Practical applications and use cases

Volumetric representations and surface representations can do the reconstruction. Powerful computer systems need to be used for reconstruction.

Given below are some of the places where 3D Object Reconstruction Deep Learning Systems are used:

  • 3D reconstruction technology can be used in the Police Department for drawing the faces of criminals whose images have been procured from a crime site where their faces are not completely revealed.
  • It can be used for re-modelling ruins at ancient architectural sites. The rubble or the debris stubs of structures can be used to recreate the entire building structure and get an idea of how it looked in the past.
  • They can be used in plastic surgery where the organs, face, limbs or any other portion of the body has been damaged and needs to be rebuilt.
  • It can be used in airport security, where concealed shapes can be used for guessing whether a person is armed or is carrying explosives or not.
  • It can also help in completing DNA sequences.

So, if you are planning to implement this technology, then you can rent the required infrastructure from E2E Networks and avoid investing in it. And if you plan to learn more about such topics, then keep a tab on the blog section of the website

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A Comprehensive Guide To Deep Q-Learning For Data Science Enthusiasts

For all data science enthusiasts who would love to dig deep, we have composed a write-up about Q-Learning specifically for you all. Deep Q-Learning and Reinforcement learning (RL) are extremely popular these days. These two data science methodologies use Python libraries like TensorFlow 2 and openAI’s Gym environment.

So, read on to know more.

What is Deep Q-Learning?

Deep Q-Learning utilizes the principles of Q-learning, but instead of using the Q-table, it uses the neural network. The algorithm of deep Q-Learning uses the states as input and the optimal Q-value of every action possible as the output. The agent gathers and stores all the previous experiences in the memory of the trained tuple in the following order:

State> Next state> Action> Reward

The neural network training stability increases using a random batch of previous data by using the experience replay. Experience replay also means the previous experiences stocking, and the target network uses it for training and calculation of the Q-network and the predicted Q-Value. This neural network uses openAI Gym, which is provided by taxi-v3 environments.

Now, any understanding of Deep Q-Learning   is incomplete without talking about Reinforcement Learning.

What is Reinforcement Learning?

Reinforcement is a subsection of ML. This part of ML is related to the action in which an environmental agent participates in a reward-based system and uses Reinforcement Learning to maximize the rewards. Reinforcement Learning is a different technique from unsupervised learning or supervised learning because it does not require a supervised input/output pair. The number of corrections is also less, so it is a highly efficient technique.

Now, the understanding of reinforcement learning is incomplete without knowing about Markov Decision Process (MDP). MDP is involved with each state that has been presented in the results of the environment, derived from the state previously there. The information which composes both states is gathered and transferred to the decision process. The task of the chosen agent is to maximize the awards. The MDP optimizes the actions and helps construct the optimal policy.

For developing the MDP, you need to follow the Q-Learning Algorithm, which is an extremely important part of data science and machine learning.

What is Q-Learning Algorithm?

The process of Q-Learning is important for understanding the data from scratch. It involves defining the parameters, choosing the actions from the current state and also choosing the actions from the previous state and then developing a Q-table for maximizing the results or output rewards.

The 4 steps that are involved in Q-Learning:

  1. Initializing parameters – The RL (reinforcement learning) model learns the set of actions that the agent requires in the state, environment and time.
  2. Identifying current state – The model stores the prior records for optimal action definition for maximizing the results. For acting in the present state, the state needs to be identified and perform an action combination for it.
  3. Choosing the optimal action set and gaining the relevant experience – A Q-table is generated from the data with a set of specific states and actions, and the weight of this data is calculated for updating the Q-Table to the following step.
  4. Updating Q-table rewards and next state determination – After the relevant experience is gained and agents start getting environmental records. The reward amplitude helps to present the subsequent step.  

In case the Q-table size is huge, then the generation of the model is a time-consuming process. This situation requires Deep Q-learning.

Hopefully, this write-up has provided an outline of Deep Q-Learning and its related concepts. If you wish to learn more about such topics, then keep a tab on the blog section of the E2E Networks website.

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GAUDI: A Neural Architect for Immersive 3D Scene Generation

The evolution of artificial intelligence in the past decade has been staggering, and now the focus is shifting towards AI and ML systems to understand and generate 3D spaces. As a result, there has been extensive research on manipulating 3D generative models. In this regard, Apple’s AI and ML scientists have developed GAUDI, a method specifically for this job.

An introduction to GAUDI

The GAUDI 3D immersive technique founders named it after the famous architect Antoni Gaudi. This AI model takes the help of a camera pose decoder, which enables it to guess the possible camera angles of a scene. Hence, the decoder then makes it possible to predict the 3D canvas from almost every angle.

What does GAUDI do?

GAUDI can perform multiple functions –

  • The extensions of these generative models have a tremendous effect on ML and computer vision. Pragmatically, such models are highly useful. They are applied in model-based reinforcement learning and planning world models, SLAM is s, or 3D content creation.
  • Generative modelling for 3D objects has been used for generating scenes using graf, pigan, and gsn, which incorporate a GAN (Generative Adversarial Network). The generator codes radiance fields exclusively. Using the 3D space in the scene along with the camera pose generates the 3D image from that point. This point has a density scalar and RGB value for that specific point in 3D space. This can be done from a 2D camera view. It does this by imposing 3D datasets on those 2D shots. It isolates various objects and scenes and combines them to render a new scene altogether.
  • GAUDI also removes GANs pathologies like mode collapse and improved GAN.
  • GAUDI also uses this to train data on a canonical coordinate system. You can compare it by looking at the trajectory of the scenes.

How is GAUDI applied to the content?

The steps of application for GAUDI have been given below:

  • Each trajectory is created, which consists of a sequence of posed images (These images are from a 3D scene) encoded into a latent representation. This representation which has a radiance field or what we refer to as the 3D scene and the camera path is created in a disentangled way. The results are interpreted as free parameters. The problem is optimized by and formulation of a reconstruction objective.
  • This simple training process is then scaled to trajectories, thousands of them creating a large number of views. The model samples the radiance fields totally from the previous distribution that the model has learned.
  • The scenes are thus synthesized by interpolation within the hidden space.
  • The scaling of 3D scenes generates many scenes that contain thousands of images. During training, there is no issue related to canonical orientation or mode collapse.
  • A novel de-noising optimization technique is used to find hidden representations that collaborate in modelling the camera poses and the radiance field to create multiple datasets with state-of-the-art performance in generating 3D scenes by building a setup that uses images and text.

To conclude, GAUDI has more capabilities and can also be used for sampling various images and video datasets. Furthermore, this will make a foray into AR (augmented reality) and VR (virtual reality). With GAUDI in hand, the sky is only the limit in the field of media creation. So, if you enjoy reading about the latest development in the field of AI and ML, then keep a tab on the blog section of the E2E Networks website.

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