Category Archives: Cloud Hosting
How to Deploy the Nextcloud Cloud Server on AlmaLinux – The New Stack
Cloud services are all over the place. For most people, the usual options (such as Google, iCloud, etc.) are fine. For others who demand more security and control, there are additional options, such as Nextcloud.
Nextcloud is an open source platform that includes all the features you’ve grown accustomed to (such as files, editors, chat, version control and much more) and can be deployed to hardware on your network. Because of that, you don’t have to worry about third parties having access to your data. That’s a win for any security/privacy-minded individuals or companies.
I want to show you how to deploy Nextcloud to the open source AlmaLinux operating system. Unlike deploying to Ubuntu Server, there are a few more steps required, which can often trip people up.
Let me help you avoid those pitfalls.
Ready?
The only things you’ll need for this basic installment are a running instance of AlmaLinux 9 and a user with sudo privileges. Of course, if you want to point a domain name to the instance, you’ll need an FQDN and secure it with SSL. Since I’m only deploying this to an internal network, I’m not going to worry about those things at the moment.
With those things at the ready, let’s install them.
There are a few dependencies we have to take care of.
The first thing we’ll do is install the Apache web server. Log into AlmaLinux and issue the command:
sudo dnf install httpd -y
sudo systemctl enable --now httpd
sudo systemctl enable--now httpd
Next, we’ll install the necessary PHP release. First, enable the EPEL release with:
sudo dnf install epel-release -y
sudo dnf install epel-release-y
sudo dnf install https://rpms.remirepo.net/enterprise/remi-release-9.rpm -y
sudo dnf install https://rpms.remirepo.net/enterprise/remi-release-9.rpm-y
sudo dnf module reset php -y
sudo dnf module reset php-y
sudo dnf module enable php:remi-8.1 -y
sudo dnf module enable php:remi-8.1-y
We now need to configure PHP. Open the configuration file with:
Where YOUR_TIMEZONE is the timezone in which your server is located.
You can make a short-shrift of locating the above entries by using the nano search tool (which is called up with the Ctrl+w keyboard shortcut).
Save and close the file.
Next, open the PHP OPCache configuration file with:
sudo nano /etc/php.d/10-opcache.ini
sudo nano/etc/php.d/10-opcache.ini
Save and close the file.
Restart Apache and PHP with the following:
The next step is the installation of the MariaDB database. To do that, we must create a repository file with the command:
sudo nano /etc/yum.repos.d/MariaDB.repo
sudo nano/etc/yum.repos.d/MariaDB.repo
Save and close the file.
Install MariaDB with:
sudo dnf install MariaDB-server MariaDB-client -y
sudo dnf install MariaDB-server MariaDB-client-y
sudo systemctl enable --now mariadb
sudo systemctl enable--now mariadb
sudo mariadb-secure-installation
sudo mariadb-secure-installation
With the MariaDB installed, it’s time to create our database. Access the MariaDB console with:
CREATE DATABASE netxcloud_db;
CREATE DATABASE netxcloud_db;
CREATE USER nextuser@localhost IDENTIFIED BY 'PASSWORD';
CREATE USER nextuser@localhost IDENTIFIED BY 'PASSWORD';
Grant the required permissions with:
GRANT ALL PRIVILEGES ON netxcloud_db.* TO nextuser@localhost;
GRANT ALL PRIVILEGES ON netxcloud_db.* TO nextuser@localhost;
Before you download Nextcloud, you’ll need to install a few more bits with:
sudo dnf install unzip wget setroubleshoot-server setools-console -y
sudo dnf install unzip wget setroubleshoot-server setools-console-y
sudo wget https://download.nextcloud.com/server/releases/latest.zip
sudo wget https://download.nextcloud.com/server/releases/latest.zip
sudo chown -R apache:apache /var/www/nextcloud
sudo chown-R apache:apache/var/www/nextcloud
Unless we configure SELinux properly, Nextcloud will not function. The first thing to do is to properly label all of the Nextcloud files and folders with the following commands:
Next, you must allow the webserver to connect to the network with the following commands:
We have to create a new policy module to ensure PHP-FPM can connect to the MariaDB socket. First, create a new file with the command:
Save and close the file.
Convert the file to an SELinux policy module with the command:
sudo checkmodule -M -m -o my-phpfpm.mod my-phpfpm.te
sudo checkmodule-M-m-o my-phpfpm.mod my-phpfpm.te
sudo semodule_package -o my-phpfpm.pp -m my-phpfpm.mod
sudo semodule_package-o my-phpfpm.pp-m my-phpfpm.mod
sudo semodule -i my-phpfpm.pp
sudo semodule-i my-phpfpm.pp
We now have to create a virtual host file with the command:
sudo nano /etc/httpd/conf.d/nextcloud.conf
sudo nano/etc/httpd/conf.d/nextcloud.conf
Save and close the file.
Restart Apache with:
sudo systemctl restart httpd
sudo systemctl restart httpd
You should now be able to point a web browser to http://SERVER (where SERVER is the IP address of the hosting server) and be greeted by the Nextcloud web-based installer, where you can create an admin user and finish up the process with a few clicks.
If you find there’s an error connecting to the database and writing to the data directory, temporarily disable SELinux (until the next reboot) with:
After the installation completes, reboot the machine and SELinux is back to keeping tabs on the system and Nextcloud is up and running.
And that, my friends, is how you deploy Nextcloud to AlmaLinux.
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How to Deploy the Nextcloud Cloud Server on AlmaLinux - The New Stack
Microsoft hits back at cloud CMA charge, says it isn’t raising customer costs unduly – TechRadar
Microsoft, which has been under the microscope in Europe recently for its apparently unfair dominance over the cloud market, has responded to similar complaints from the UKs Competition and Markets Authority (CMA).
The company insists its terms do not meaningfully raise cloud rivals' costs, adding that Amazon remains the market-leading hyperscaler in the UK, and that the CMA should instead focus its efforts on Microsofts rival company.
Microsoft also noted Googles strong quarterly growth and the decline of Windows Server relative to Linux with regards to cloud OS share.
In its 100-point response to the CMA investigation, Microsoft concluded that action should not be taken against the company - but in the event that the CMA presses forward, Microsoft asks that egress fees do not get scrapped, adding that companies should be able to recuperate the costs involved with exiting a contract.
The CMAs primary concen is how much Microsoft charges for customers to use its software on rival clouds compared to its own Aure service. Most customers indicated that using Microsoft products on Azure was cheaper than on major competitors services.
Amazon and Google believe that customers should be able to use their licenses across clouds freely, while Microsoft sees it as a good thing that its offering users access to its tools even if theyre not using its cloud.
The cloud is helping power the digital economy in the UK, but restrictive licensing continues to limit customer choice and innovation," a Google Cloud spokesperson told TechRadar Pro.
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"We will continue to advocate against unfair practices, highlighting the consequences of licensing lock-in from legacy vendors like Microsoft.
Although Microsoft and rival cloud companies have responded to initial enquiries, it could take until the end of 2024 before a provisional decision is reached, at which point the involved parties will have another opportunity to share their thoughts.
Around 18 months after the initial October 5, 2023 referral by Ofcom, the CMA will publish its final decision in line with the statutory deadline of April 4, 2025.
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Microsoft hits back at cloud CMA charge, says it isn't raising customer costs unduly - TechRadar
3 Cloud Computing Stocks to Watch as Apple Goes All-In on AI – InvestorPlace
The big three cloud service providers might get even bigger thanks to Apple
With the announcement of Apples (NASDAQ:AAPL) new approach to artificial intelligence (AI) called Apple Intelligence, three of the biggest cloud computing stocks are about to reach the next level of consumer exposure. Thats because Apple is now moving toward offering on-device, artificial intelligence through a partnership with OpenAI for its ChatGPT platform. While the AI itself will run on the device, much of the data analytics required to make it effective over the long run will be provided by Apples biggest cloud service suppliers.
For investors taking positions in these stocks, buying now could be exceptionally lucrative as Apple pushes to revolutionize how the average person interacts with AI. Thats because Apple will need to spend billions of dollars on cloud infrastructure to support a future where millions of people actively rely on its AI services for daily tasks related to their phones and personal devices.
Source: The Art of Pics / Shutterstock.com
Though Apple largely transitioned away from using Microsofts (NASDAQ:MSFT) Azure cloud computing system, it still partners with the company for several of its major features. Even more interesting now, it will likely rely heavily on Microsoft moving forward due to MSFTs relationship with OpenAI.
Moreover, Microsoft is likely to derive a generous amount of revenue directly from Apple in the form of royalties for its usage of ChatGPT as Open AI since Microsofts investment in open AI allows it to collect 49% of the profits generated by the company.
Thus, for Microsoft and its investors, Apples decision to jump on the AI train is a win-win situation across the board. Not only will Microsoft be able to derive revenue from Apple, but it will also be able to analyze the usage data of ChatGPT to improve the AI even further. As such, Microsoft is one of the best cloud computing stocks to buy as Apple goes all in on AI.
Source: PK Studio / Shutterstock
Surprisingly, another one of Apples major cloud service providers, Alphabet (NASDAQ:GOOG, NASDAQ:GOOGL) provided its Google Cloud Platform and Google Search engine to support Apples products for the better part of a decade. That may come as a surprise, considering that the two companies still actively compete in smartphone and smartwatch sales, but it seems like, in this case, supporting Apples cloud endeavors is incredibly lucrative for Google.
While Google may not be as directly involved in AI development for Apples products as Microsoft and OpenAI are, it is now Apples biggest cloud service provider since the company moved away from Microsoft Azure.
Moreover, much of the cloud computing technology necessary to help process all the data that Apples intelligence devices will generate is likely to run through Googles computers, increasing the companys revenue from Apple-related services.
Source: Sundry Photography / Shutterstock.com
It may be difficult to believe, but at one point, Apple was Amazons (NASDAQ:AMZN) biggest cloud service customer. In fact, when iCloud was launched in 2011, Amazon Web Services was its first host for all of its features. Now, Apple diversified a few of those features across the aforementioned Google Cloud and Microsoft, but the fact remains that its iCloud product line relies heavily on AWS to operate.
With the introduction of Apple intelligence and the data-intensive storage requirements that iCloud will likely have to implement, Amazon will likely derive even more revenue from Apple. This all stems from Apples focus on designs and software rather than investing in computers and manufacturing infrastructure.
Combine this with Amazon Web Services other success as a cloud computing provider, and its clear why AMZN stock might be the best cloud computing company to buy right now.
On the date of publication, Viktor Zarevdid not have (either directly or indirectly) any positions in the securities mentioned in this article.The opinions expressed in this article are those of the writer, subject to the InvestorPlace.comPublishing Guidelines.
On the date of publication, the responsible editor held LONG positions in AAPL and AMZN.
Viktor Zarev is a scientist, researcher, and writer specializing in explaining the complex world of technology stocks through dedication to accuracy and understanding.
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3 Cloud Computing Stocks to Watch as Apple Goes All-In on AI - InvestorPlace
UK cloud hosting company expands in US as global demand for managed hybrid and multi-cloud ecosystems explodes – TechRadar
Theres no question that demand for cloud services is going through the roof right now. Towards the end of 2023, Gartner predicted the cloud market would grow 20.4% to total $678.8 billion in 2024, up from $563.6 billion the previous year, and that certainly seems to be an optimistic forecast if Hyve Managed Hostings experience is anything to go by.
Based in Brighton, UK, Hyve says it has seen significant growth with a 51% increase in revenue over the past three years.
This expansion comes from rising demand for bespoke cloud services and has led to the firm opening a new office in Austin, Texas, resulting in a doubling its US customer base since the start of the year.
Charlotte Webb, Hyves Global Marketing and Operations Director, said, The US continues to prove its status as a leader when it comes to considered cloud adoption, with the market already representing a large proportion of our revenue.
Hyve has also opened an office in Berlin, which Webb says helps the firm seamlessly and securely serve EU customers, especially paying attention to helping them navigate compliance with data sovereignty and data protection regulations.
Talking about how combining AI with cloud computing directly benefits companies, Webb said, The partnership of AI & Machine Learning with cloud computing allows the opportunity to build and implement easily accessible AI solutions on a large scale. Cloud is already playing a large part in digital transformation for business, adding in AI supercharges this debate. Cloud computing helps companies to be more agile and flexible and provides cost benefits by hosting data and applications on the cloud. Adding AI generates insights from the data. It gives intelligence to existing capabilities. This results in a powerful and unique combination that can be used as a competitive advantage.
Looking ahead, the company says it plans to double its US team in the next quarter and is exploring opportunities for expansion in the Asia-Pacific region, focusing on potential projects in Australia.
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Develop a Cloud-Hosted RAG App With an Open Source LLM – The New Stack
Retrieval-augmented generation (RAG) is often used to develop customized AI applications, including chatbots, recommendation systems and other personalized tools. This system uses the strength of vector databases and large language models (LLMs) to provide high-quality results.
Selecting the right LLM for any RAG model is very important and requires considering factors like cost, privacy concerns and scalability. Commercial LLMs like OpenAI’s GPT-4 and Google’s Gemini are effective but can be expensive and raise data privacy concerns. Some users prefer open source LLMs for their flexibility and cost savings, but they require substantial resources for fine-tuning and deployment, including GPUs and specialized infrastructure. Additionally, managing model updates and scalability can be challenging with local setups.
A better solution is to select an open source LLM and deploy it on the cloud. This approach provides the necessary computational power and scalability without the high costs and complexities of local hosting. It not only saves on initial infrastructural costs but also minimizes maintenance concerns.
Let’s explore a similar approach to develop an application using cloud-hosted open source LLMs and a scalable vector database.
Several tools are required to develop this RAG-based AI application. These include:
In this tutorial, we will extract data from Wikipedia using LangChain’s WikipediaLoader module and build an LLM on that data.
Start setting your environment to use BentoML, MyScaleDB and LangChain in your system by opening your terminal and entering:
Begin by importing the WikipediaLoader from the langchain_community.document_loaders. wikipediamodule. You’ll use this loader to fetch documents related to “Albert Einstein” from Wikipedia.
This uses the load method to retrieve the “Albert Einstein” documents, and the print method to print the contents of the first document to verify the loaded data.
Import the CharacterTextSplitter from langchain_text_splitters, join the contents of all pages into a single string, and then split the text into manageable chunks.
Your data is ready, and the next step is to deploy the models on BentoML and use them in your RAG application. Deploy the LLM first. You’ll need a free BentoML account, and you can sign up for one on BentoCloud if needed. Next, navigate to the Deployments section and click on the Create Deployment button in the top-right corner. A new page will open that looks like this:
Select the bentoml/bentovllm-llama3-8b-instruct-service model from the drop-down menu and click “Submit” in the bottom-right corner. This should start deploying the model. A new page like this will open:
The deployment can take some time. Once it is deployed, copy the endpoint.
Note: BentoML’s free tier only allows the deployment of a single model. If you have a paid plan and can deploy more than one model, follow the steps below. If not, don’t worry — we will use an open source model locally for embeddings.
Deploying the embedding model is very similar to the steps you took to deploy the LLM:
Next, go to the API Tokens page and generate a new API key. Now you are ready to use the deployed models in your RAG application.
You will define a function called get_embeddings to generate embeddings for the provided text. This function takes three arguments. If the BentoML endpoint and API token are provided, the function uses BentoML’s embedding service; otherwise, it uses the local transformers and torch libraries to load the sentence-transformers/all-MiniLM-L6-v2model and generate embeddings.
This setup allows flexibility for free-tier BentoML users, who can deploy only one model at a time. If you have a paid version of BentoML and can deploy two models, you can pass the BentoML endpoint and Bento API token to use the deployed embedding model.
Iterate over the text chunks (splits) in batches of 25 to generate embeddings using the get_embeddings function defined above.
This prevents overloading the embedding model with too much data at once, which can be particularly useful for managing memory and computational resources.
Now, create a pandas DataFrame to store the text chunks and their corresponding embeddings.
The knowledge base is complete, and now it’s time to save the data to the vector database. This demo uses MyScaleDB for vector storage. Start a MyScaleDB cluster in a cloud environment by following the quickstart guide. Then you can establish a connection to the MyScaleDB database using the clickhouse_connect library.
Create a table in MyScaleDB to store the text chunks and embeddings. The table schema includes an id, the page_content and the embeddings.
The next step is to add a vector index to the embeddings column in the RAG table. The vector index allows for efficient similarity searches, which are essential for retrieval-augmented generation tasks.
Define a function to retrieve relevant documents based on a user query. The query embeddings are generated using the get_embeddings function, and an advanced SQL vector query is executed to find the closest matches in the database.
Note: The distance method takes an embedding column and the embedding vector of the user query to find similar documents by applying cosine similarity.
Establish a connection to your hosted LLM on BentoML. The llm_client object will be used to interact with the LLM for generating responses based on the retrieved documents.
Define a function to perform RAG. The function takes a user question and the retrieved context as input. It constructs a prompt for the LLM, instructing it to answer the question based on the provided context. The response from the LLM is then returned as the answer.
Finally, you can test it out by making a query to the RAG application. Ask the question “Who is Albert Einstein?” and use the doragfunction to get the answer based on the relevant documents retrieved earlier.
If you ask the RAG model about Albert Einstein’s death, the response should look like this:
BentoML stands out as an excellent platform for deploying machine learning models, including LLMs, without the hassle of managing resources. With BentoML, you can quickly deploy and scale your AI applications on the cloud, ensuring they are production-ready and highly accessible. Its simplicity and flexibility make it an ideal choice for developers, enabling them to focus more on innovation and less on deployment complexities.
On the other hand, MyScaleDB is explicitly developed for RAG applications, offering a high-performance SQL vector database. Its familiar SQL syntax makes it easy for developers to integrate and use MyScaleDB in their applications, as the learning curve is minimal. MyScaleDB’s Multi-Scale Tree Graph (MSTG) algorithm significantly outperforms other vector databases in terms of speed and accuracy. Additionally, MyScaleDB offers each new user free storage for up to 5 million vectors, making it a desirable option for developers looking to implement efficient and scalable AI solutions.
What do you think about this project? Share your thoughts on Twitter and Discord.
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Hostinger Review: VPS, Cloud, and Shared Hosting – Tom’s Hardware
One of the larger and more popular web hosting services, Hostinger was founded in 2004 in Lithuania where it started out offering a free service called 000webhost, which still exists today. The company offers a wide variety of hosting packages, including shared hosting, Virtual Private Servers (VPS), cloud hosting and managed WordPress plans.
Hostinger is also one of the most affordable web hosting services around, provided that youre willing to commit to 12 or 24 months in advance. But there are also some gotchas: the VPS Hosting, our preferred option for most services, starts at a mere $4.99 a month, but youll need to pay at least $23 per month if you want to use the popular cPanel control panel software (other control panels are cheaper or free). Also, the cloud and shared hosting plans severely limit how much database storage you have, making them a poor choice for anyone working with large mySQL DBs.
We had a chance to test three different Hostinger Plans: a VPS plan, a shared hosting plan, and a cloud hosting plan. Overall, we found the performance strong, with good DB query and WordPress benchmark numbers on both the VPS and cloud plans. The cloud plan also did an extraordinary job of handling traffic spikes, though its database storage and script execution limits are downsides.
Today's best Hostinger VPS Plan - KVM 2, Hostinger Cloud Hosting Plans - Cloud Professional and Hostinger Shared Hosting Plans - Business deals
On Hostinger, as with most hosting services, the VPS plan provides the best balance between performance, flexibility and price. Hostinger has some of the cheapest VPS plans on the market, with the base KVM 1 plan (1 vCPU core, 4GB of RAM, 50GB storage) going for just $4.99 a month with a 24-month commitment (after that, the price goes up to $7.99 a month).
We tested the KVM 2 plan, which provides 2 vCPU cores, 8GB of RAM, 100GB of disk space and 8TB of bandwidth for $6.99 a month, but if you have greater needs, you can get a plan with up to 8 vCPU cores, 32GB of RAM and 400GB of disk space for just $19.99 a month.
Hostinger VPS Plans (per month)
That said, theres a huge catch to these prices that Hostinger doesnt make clear until youve already paid for and signed up for your plan. cPanel / WHM, the most popular and easy-to-use control panel software, is not included, even though many other companies include it.
When you first set up your VPS server (or if you choose to reformat it later), youre given a choice of OS and control panel to format with. You can go with AlmaLinux 8 or 9, Ubuntu, Debian, or other Linux flavors. And you can have the system install cPanel, cloudPanel, Cyberpanel, Webuzo, or any of several other control panels. However, most of these including cPanel require a monthly licensing fee on top of your hosting plan, and it can be extremely costly, with cPanels single-user license going for $22.99 a month, more than three times the cost of our hosting plan.
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But, if youre willing to deal with a less-intuitive control panel, you can do what we did: choose AlmaLinux 8 with Webmin / Virtualmin. Webmin is a control panel software that has absolutely no licensing fee and, if you dig into its somewhat annoying menu structure, you can perform all the basic tasks from setting up user accounts to installing vital software such as phpMyAdmin, updating the system files or setting up cron jobs.
You navigate to Webmin by adding :10000 to the end of your URL and then logging in. Once loaded, the control panel is divided into two tabs: Webmin and Virtualmin, each of which has its own set of apps for doing things like managing disk quotas or logging into the file system. Virtualmin seems more like the cPanel (user side) and Webmin seems more like WHM (administrator side), but its not always clear which tab you need to find the function youre looking for.
We found the documentation about Virtualmin on Hostingers own site lacking and had to Google some issues. For example, my default user account had a disk quota that limited my ability to upload files and I had to do a lot of searching on Virtualmin's forums (not Hostinger) to find out how to change it. However, once we figured out how to perform the basic tasks, we were glad to have avoided paying $23 a month extra for a version of the same thing even if cPanel is much nicer.
One thing we didnt figure out how to do via Webmin was updating the version of PHP that came with the VPS plan, as it was PHP 7.2 when the world is now up to 8.3. And, for some reason, we had trouble configuring the system to use WWW as the default web address, with it instead removing the WWW when wed go to our sample site. Were sure if we spent a few more hours experimenting we could have resolved both issues, but it should have been easier and probably would have been with cPanel.
Once we had our server set up, we were impressed with the level of performance and flexibility the VPS plan provides. Connecting via SSH is easy, particularly because an encryption key is not required. Once we had logged into the terminal, we were able to run our sample bash scripts and, even after hours of execution, they never timed out; many hosting plans impose a one-hour (or slightly longer) limit before shutting your scripts down.
Performance on our DB selection and insertion tests was among the strongest weve seen (more on that in the performance section below), with the giant database import taking several minutes less than the VPSes we tested from Bluehost and Scala Hosting. The WordPress Benchmark score was strong, but perhaps because of the outdated version of PHP, trailed some other plans, including Hostingers own cloud and shared hosting. The VPS plan also managed to hold its own on the Apache server capacity test, where we hit it with 500 concurrent requests, but it didnt have the most bandwidth weve seen.
If you want speedy serving and high capacity and are willing to pay for it, Hostingers cloud Hosting plans might be your best bet. Cloud hosting, like VPS, uses shared virtual resources, but it spreads the load across multiple physical servers to get you more bandwidth and processing power for the money. You do give up some control, though.
Available starting at rates of $7.99, the cloud hosting plans promise more storage, more bandwidth, and more RAM and CPU cores for your money than VPS. But theres a huge catch thats not visible on the sign up page: Even if you get the cloud Professional Plan with 250GB of storage and 4 CPU cores like we did, you are limited to just 6GB of database storage.
Hostinger Cloud Hosting Plans (per month)
What does 6GB get you? If youre running a WordPress site, that might be a decent amount as youre just storing the text from your blog posts in the database so youd need a lot of articles to fill it up. And remember, images in your blog post are not part of the database so wouldnt count against that cap. If, like me, you run a site that stores a ton of actual data you wish to analyze this is an untenable limit.
Unlike with VPS, where you have to choose a control panel software such as cPanel, which costs at least $23 a month (or Virtualmin which is free), Hostingers cloud Hosting relies on the companys own hPanel software for all of its controls. For VPS, hPanel is on the top level, but you still need to dig into the server control panels in our case, Virtualmin to get major things done like setting up databases or installing software.
But for cloud hosting, hPanel is a very helpful one-stop shop that allows you to create a database, install WordPress (it links directly to your WordPress Admin login), access the file system, enable SSH access, configure PHP, and manage subdomains.
Having every setting and WordPress just a click away in the hPanel is a really nice touch, making this one of the easiest hosting plans to set up and manage. It is a joy to work with.
The performance of Hostingers cloud hosting is also a joy, the best weve tested so far. It scored 8.6 on the WordPress Benchmark, the highest mark of any service. It also aced our database import test, inserting 87 million rows of data in an average of 5 minutes and 29 seconds, and it delivered a blazing 261.4 requests per second on our Apache test where most other services were in 13 to 25 range. More on those numbers later.
The trade-off of the cloud hosting plan is that its not for people handling large amounts of data or running long-lasting scripts. In the case of the latter, we ran our shell script test, which writes a log every minute to see if its still alive and, after an hour, it died. If you were doing a massive operation on your database that lasted for longer than an hour not likely if you are just using WordPress it would stop in the middle.
Shared hosting is always the most affordable option at any hosting provider, but usually the least flexible and always the least performant. You can get a shared plan at Hostinger for as little as $2.99 a month, but we stepped up to the $3.99-per-month Business plan which boasts 200GB of storage and support for up to 100,000 visits monthly.
Hostinger Shared Hosting Plans (per month)
As with the cloud Hosting plan, the shared plans use Hostingers proprietary hPanel to control everything from your email accounts to subdomains, WordPress install, databases, and even SSH access. The interface is easy-to-use, as all of the options appear in a menu on the left side of the screen and you can open up one of the headers (ex: WordPress) by clicking on it.
If you want to go into your WordPress Admin panel, theres also a button for it here. So setting up a WordPress site is quick and easy.
So what do and dont you get for $3.99 a month? Theres a database limit of 3GB, so it was impossible for us to run any of our database performance tests, which require about 5GB, on this account. Shell scripts also time out after just an hour.
On the bright side, performance on the WordPress Benchmark was very strong, hitting 8.5, one of our higher scores. It also managed to deliver 21.1 requests per second on the Apache test, which is about on par with Hostingers VPS plan and other shared hosting plans we tested.
For every hosting plan, we conduct three database performance tests, designed to see how quickly the server can handle complex MySQL queries. Like many hosting services, Hostinger uses MariaDB, a drop-in replacement for Oracle MySQL, which is supposed to be faster and more cost-effective.
Our first MySQL workload inserts 87 million rows of data, which is drawn from historical page view data for our site, across millions of dates and pages. This is a huge data dump and you can see that Hostingers cloud service leads the pack with its VPS service not far behind. Its shared hosting couldnt perform the test because of a database size limit of 3GB.
Then we run a MySQL command that changes the six traffic columns in all 87 million traffic rows into random numbers. This process can take longer than the original insert.
In our most demanding MySQL database test, we join two tables, the traffic table and the articles table, and then instruct the server to return the sum total of all page views, entrances and other traffic numbers across multiple dates per article. This test involves a table JOIN and a huge number of uses of the SUM function, so its very time-consuming.
Surprisingly, Hostinger Cloud was almost unbelievably fast to complete this task, finishing it one minute and 30 seconds. We ran the test three times and this is the average, which shows just how quick this plan can be. Its very odd because, on the randomization test, it did poorly.
The Hostinger VPS plan had a strong, but down-to-earth time of 12 minutes and 47 seconds while Bluehosts VPS plan took 16:38. Scalahosting VPS trailed the pack by a wide margin, but it actually completed the test. Bluehosts cloud and shared hosting plans both timed out and refused to complete this task at all.
We also run theWordPress Hosting Benchmark Tool, a test that runs as a plugin within the popular CMS and spits out a score in the 0 to 10 range with 10 being the best. It evaluates the server based on 12 criteria, including filesystem speed, database speed, network performance, and mathematical calculations.
Here Hostingers cloud and shared plans happened to outpace its VPS plan, perhaps because the VPS was running a slightly older version of PHP. Bluehost cloud plan also did really well on this test.
Of course, if youre running big database queries or other time-consuming tasks such as crawling a series of web pages or JSON feeds, you might want to run a shell script that could go for hours. Many hosting plans limit the amount of time a shell script can run before the operating system forces them to stop. To find out what happens, we run a script that writes a log file every minute and we then come back and check on it after several hours.
Both the Hostinger cloud and shared plans terminated the script after an hour. However, the VPS hosting plan had no timeout at all.
If youre running your website for the purpose of attracting a lot of visitors and not everyone is its ability to handle many requests at once matters. Thats why we use the Apache benchmark, which allows us to throw 500 concurrent requests at the server at the same time and then see how it performs. Each hosting service is running a WordPress site and we are pointing the Apache benchmark at its home page.
After running the test, we get a report showing the amount of requests per second that the server was able to deliver and how many milliseconds each response takes on average. This is not the load time of the home page, but the time it takes for the server to respond.
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Many of the hosting services simply could not handle the test as they would fail after 149 requests or fewer. This might be a form of protection the services have against spam traffic, or it could be that they simply cant take that much traffic at once. While all three of Hostingers services completed the test, Bluehost Shared failed after a 149 request limit and Bluehost VPS returned a failed ssl handshake error.
As we saw elsewhere, cloud hosting allows your server to respond to traffic most quickly. Bluehost cloud returned 1,577.5 requests per second and took an average of just 0.6 ms to respond to a request. Hostingers cloud service was also really strong with 261.4 requests per second and a 3.6 ms response time. Consider that the VPS and shared hosting services were in the low 20s of requests per second and about 40ms per response.
Most hosting services offer really good uptime thats well over 99 percent, but just to keep an eye on things, we use Pingdom to monitor our sample sites for at least a few days. Across several weeks, we saw absolutely no downtime on any of our Hostinger plans.
Pingdom also tracks median load timesfor our sites home pagesand, with these three we saw median load times of 727 and 722 ms on the cloud and VPS plans and, strangely, a slightly-faster 447 ms on the shared plan. Scala VPS was 746 ms, so that seems to be reasonable for the default WordPress content we were serving.
When it comes to support, Hostinger tries to steer you toward its knowledge base of tutorials, which covers a lot of topics, but has very little information on Webmin / Virtualmin. There was an article on getting started with Virtualmin and one on setting up SSL, but considering how much you have to do through this control panel software, I had to do some Googling to find what I was looking for.
If you cant find what youre looking for in the knowledge base, you can eventually (after youve opened an article) find a link to launch a live chat with a human.
I really wish there was a ticketing option instead, which is something a few competitors like Scalahosting have. That way, if youre having an issue and you dont need an immediate resolution, you dont have to have a long back and forth with a person. You can just make a request and wait to get an email back. As far as I can tell there is also no phone support, but most hosting services dont have that.
An AI assistant is also on offer via the Hostinger website. This can be used to get quick answers, and requesting I would like to speak to someone prompts a series of questions to connect you with an appropriate specialist.
Across its major services shared, cloud and VPS Hostinger offers great value and strong performance. But beware database size limitations on the cloud and shared plans and the exorbitant cost of adding cPanel software to your VPS plan, an option you can avoid by using the poorly documented and sometimes confusing Webmin / Virtualmin panel instead.
If youre running a WordPress content site and want to accommodate the most traffic at the highest speed, a cloud plan is your best choice. If you just want a plan thats cheap but reliable for hosting a personal or very small business site with few visitors, the shared plans can fit that bill.
However, Hostingers VPS plans offers the most flexibility and value for your money. For $4.99 to $19.99 a month, depending on the amount of RAM, CPU cores and storage space, you get the ability to work with large databases, install your own software, and choose among various Linux OSes and control panel applications.
While the overall performance of VPS is not equal to that of cloud, its still better than most VPS plans we tested, and the added level of control makes it a better choice for professional website builders who dont want to encounter any limits. Just make sure youre either willing to learn to use Virtualmin, or budget in another $23 a month to your cost so you can have cPanel.
Excerpt from:
Hostinger Review: VPS, Cloud, and Shared Hosting - Tom's Hardware
The 10 hottest cloud computing startups of 2024 (so far) – CRN Australia
The need for new and improved cloud computing solutions is being met head-on by startups in 2024 that are focusing on infrastructure optimisation, artificial intelligence and cloud management.
From cloud computing startups such as Astera Labs and Vultr to Prosimo and Weka, there are 10 cloud companies making waves in the ever-growing market.
Many of these cloud startups are partnering and/or competing with the top three cloud market share leaders Amazon Web Services, Microsoft and Google, who account for a whopping 67 percent of the global market.
Cloud infrastructure services market reach US$76 billion
During the first quarter of 2024, enterprise spending on cloud computing infrastructure services reached over US$76 billion. This represented an increase of 21 percent or US$13.5 billion compared to Q1 2023, showing just how critical cloud computing is for business across the globe.
There are still some economic, currency and political headwinds, said John Dinsdale, a chief analyst at Synergy Research Group, in an email to CRN US.
However, the underlying strength of the market is more than compensating for those constraints, aided in no small part by the impact of generative AI technology and services.
Many of the cloud startups on CRN USs 2024 list are providing computing solutions for AI, generative AI and machine learning workloads.
Here are 10 cloud computing IT startup companies that every partner, investor and business ---should know about in 2024.
Cast AI
Top Executive: Yuri Frayman, CEO
Cloud optimisation and management startup Cast AI provides a Kubernetes automation platform that helps teams streamline their cloud cost management, operations and security. Cast AIs platform utilises machine learning algorithms to analyse and automatically optimise clusters in real time to reduce costs and improve performance to boost DevOps and engineering productivity.
The Miami-based startup said it cuts AWS, Microsoft and Google Cloud customers cloud costs by over 50 percent.
Celestial AI
Top Executive: Dave Lazovsky, CEO
Celestial AIs Photonic Fabric is the industrys only optical connectivity solution that enables the disaggregation of cloud compute and memory, which allows each component to be leveraged and scaled most effectively. The Santa Clara, Calif.-based startups technology provides greater bandwidth and memory capacity, while reducing latency and power consumption compared to optical interconnect alternatives and copper.
This year, the startup raised US$175 million in a Series C funding round, led by investors such as AMD Ventures and Samsung Catalyst, in a move to scale up its commercialisation.
CoreWeave
Top Executive: Michael Intrator, CEO
CoreWeave is a specialised cloud provider, delivering a massive scale of GPU compute resources on demand on top of flexible infrastructure. The Roseland, N.J.-based startup builds cloud offerings for compute-intensive use cases like AI which can be up to 35X faster and 80 percent less expensive than public clouds, the company says.
CoreWeave also aims to power large language models and generative AI with purpose-built cloud infrastructure at scale. In May, the startup secured US$1.1 billion in new funding.
DuploCloud
Top Executive: Venkat Thiruvengadam, CEO
DuploClouds platform translates high-level application specifications into meticulously managed cloud configurations, allowing customers to streamline operations while maintaining security, availability, and compliance standards. The San Jose, Calif.-based startups DevOps Automation platform is designed to make DevOps and Infrastructure-as-Code accessible for all developers.
The company was founded by the senior engineers from Microsoft Azure and AWS.
Prosimo
Top Executive: Ramesh Prabagaran, CEO
Prosimo delivers a simplified multi-cloud infrastructure for distributed enterprise clouds. The San Jose, Calif.-based startups stack combines cloud networking, performance, security, observability, and cost managementall powered by data insights and machine learning models with autonomous cloud networking.
Prosimo recently launched AI Suite for Multi-Cloud Networking to help enterprises adopt, manage and troubleshoot AI applications and workloads. The startup supports AI workloads across deep observability, network policy and traffic, end-to-end private connectivity and application-driven routing.
Pulumi
Top Executive: Joe Duffy, CEO
Pulumis intelligent cloud management platform helps organisations deliver faster on any cloud and in any programming language. The solution lets customers manage 10-times more cloud resources at lower cost than traditional tools, the company said, while its Pulumi Insights offering unlocks analytics and search across cloud infrastructure and allows AI-driven infrastructure automation.
The Seattle-based startups Cloud Framework is for building modern container and serverless cloud applications. Pulumi raised about US$100 million in funding last year.
Spectro Cloud
Top Executive: Tenry Fu, CEO
Spectro Cloud enables customers to manage Kubernetes in production at scale with a platform that gives control of the full Kubernetes lifecycle across clouds, data centers and edge environments. The San Jose, Calif.-based startup is doubling down on AI with the launch of Palette EdgeAI that lets customers build, deploy and manage Kubernetes-based AI software stacks.
Spectro Cloud is a highly accredited AWS vendor partner with a strong relationship with the cloud giant.
Upbound
Top Executive: Bassam Tabbara, CEO
Seattle-based startup Upbound is looking to democratise the control plane by allowing engineers to get centralised control, governance and stability. The control plane company is behind the popular open source project Crossplane, enabling cloud engineers to create their own cloud native platform with infrastructure resource exposed as stable APIs for teams to use.
Upbound enables teams to scale to thousands of resources while getting centralised control of all cloud infrastructure including any cloud service provider and any cloud native tool.
Vultr
Top Executive: J.J. Kardwell, CEO
Vultr dubs itself the worlds largest privately held cloud computing platform by serving 1.5 million customers across 185 countries. Vultr offers a slew of cloud computing infrastructure and resources spanning from bare metal options to GPU compute available on demand.
Backed by parent company Constant, Vultr provides shared and dedicated CPU, block and object storage, Nvidia cloud GPUs, as well as networking and Kubernetes solutions. The companys mission is to make high-performance cloud computing easier to use, affordable and locally accessible.
The West Palm Beach, Fla.-based startup is consistently expanding its data center footprint in order to offer its cloud infrastructure to more customers on a global basis. In March, the company launched Vultr Cloud Inference, a new serverless platform offering global AI model deployment and AI inference capabilities.
Weka
Top Executive: Liran Zvibel, CEO
The Weka Data Platform looks to set the standard for AI infrastructure with a cloud and AI-native architecture that provides seamless data portability across all cloud and on-premise environments.
The Campbell, Calif.-based startup transforms stagnant data silos into dynamic data pipelines that help AI, machine learning and GPU workloads run more efficiently in the cloud, while providing data access from data centers and multi-cloud environments.
In May, Weka raised US$140 million in a Series E funding round, bringing the startups total valuation to US$1.6 billion.
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The 10 hottest cloud computing startups of 2024 (so far) - CRN Australia
UK cloud provider Hyve doubles its US customer base in 2024 as cloud demand soars – Verdict
UK-based cloud computing company Hyve Managed Hosting has doubled its customer base since January 2024.
In January 2024, Hyve established US operations in Austin, Texas and a European base in Berlin, Germany. The global expansion was driven by increased customer demand for managed hybrid and multi-cloud environments.
Hyves Berlin office has allowed Hyve to seamlessly and securely serve EU customers, said Hyve marketing and operations director, Charlotte Webb.
VP of Hyve customer, Symbolic Mind, Vadim Asadov, said that Hyve made the impossible work of building the server they needed possible.
Hyve helped Symbolic Mind come up with a hosting solution finely-tuned to our business goals to reflect this, said Asadov.
In early 2024, Hyve joined the new Broadcom Advantage Program as a VMware Cloud Service Provider at the Premier Partner level.
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This collaboration enabled us to ensure the uninterrupted continuation of VMware cloud services for our customers, said Jake Madders, director and co-founder of Hyve Managed Hosting.
Hyve plans to build on its increased consumer base and double the headcount of its US office in the next quarter.
According to GlobalData forecasts, the total cloud computing market will be worth $1.4trn in 2027, having grown at a compound annual growth rate of 17.1% from $638.6bn in 2022.
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UK cloud provider Hyve doubles its US customer base in 2024 as cloud demand soars - Verdict
Cloud Native Computing Foundation Announces Heroku Joins as a Platinum Member – WV News
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Applications and Importance of Cloud Computing in Healthcare – Appinventiv
The healthcare domain is experiencing a significant surge in terms of innovation, particularly after the COVID-19 pandemic. The industry is witnessing massive digital transformation, impacting every aspect of the industry security, predictiveness, performance, accessibility, affordability, and beyond.
When we talk about digital transformation redefining the healthcare sector, we often refer to technologies like blockchain, Artificial Intelligence, Machine Learning, IoT, etc., and even SaMD (software-based healthcare devices). While all these technology trends are the key enablers behind the unparalleled growth of healthcare companies, cloud computing acts as a backbone for all these next-gen technological innovations.
Cloud computing in healthcare has brought a huge shift in the creation, consumption, storage, and sharing of medical data. According to McKinsey, cloud-based healthcare solutions can generate value of $100 billion to $170 billion by 2030. The key driver of this growing value lies in empowering healthcare companies to innovate, digitize, and realize their strategic objectives more effectively.
Lets delve deeper to understand the different facets of cloud computing for healthcare and how it is revolutionizing the domain.
Cloud computing for the healthcare industry is primarily about implementing remote server access via the Internet to store, manage, and process medical data. This process provides a flexible solution for healthcare stakeholders to remotely access servers where the data is hosted. The remote accessibility of healthcare data breaks down the location barriers to accessing medical services.
Cloud computing for healthcare comes with two-fold applications for both patients and healthcare providers, enabling them to use a massive amount of data securely from anywhere, anytime, improve patient care, streamline operations, and automate various processes.
For medical institutions, virtualization in cloud computing helps lower operational spend while enabling them to deliver high-quality and personalized care. The patients, on the other hand, are getting accustomed to the instant delivery of healthcare services.
Cloud computing for healthcare, with its on-demand availability, high-data accessibility, and internet-based services, has transformed the entire healthcare industry. It is why tech-savvy medical professionals increasingly embrace cloud technology in healthcare for all its benefits to effectively address patients and business needs. Here are some benefits of cloud computing in healthcare:
The primary benefits of cloud computing in healthcare are the real-time availability of resources such as data storage and computing power. Also, there are no upfront charges linked with the healthcare cloud adoption; they will only have to pay for the resources they use.
Furthermore, cloud computing in healthcare provides an optimum environment for scaling without burning a hole in the pocket. With the patients data flowing in from several sources like EMRs, healthcare apps, and wearables, a cloud solution for healthcare makes it possible to scale the storage while keeping the costs low.
Interoperability focuses on establishing data integrations through the entire healthcare system, irrespective of the origin or where the data is stored. It makes patients data available for easy distribution and for getting insights to aid healthcare delivery. Also, cloud computing for healthcare enables medical professionals to access a varied range of patient data, share it with key stakeholders, and deliver timely protocols.
The applications of cloud computing in the healthcare sector democratize data and empower patients to control their health. It facilitates patients participation in making crucial decisions related to their health, working as a tool to better patient engagement and education. Also, with cloud-based healthcare, medical data can be archived and retrieved easily. And with an increase in the system uptime, the data redundancy is reduced to a huge extent, and data recovery also becomes easier.
Healthcare cloud adoption significantly boosts collaboration between healthcare stakeholders, providers, and patients. By saving the Electronic Health Records in the cloud, patients no longer need to carry their medical records to every doctor visit. The doctors can easily view the information, see the outcome of previous interactions, and even share information with one another in real-time. This, in turn, enables them to provide more personalized and better treatment.
Also Read: EMR Vs. EHR Development What Should you Choose for your Healthcare Business?
Cloud computing for healthcare also enhances patients engagement in the delivery of medical services by giving them real-time access to medical data, test results, and even doctors notes. Also, cloud-based healthcare provides patients with a check from being overprescribed or dragged into unnecessary testing the details of both can be found in the medical records.
The healthcare industry deals with a massive amount of data on a daily basis, making it a focal point of attraction to malicious attackers, which increases the risk of data breaches and cyber-attacks. With the applications of cloud computing in healthcare, medical institutions, and healthcare providers can ensure failsafe security as these applications can proactively inform you about suspicious attempts.
Also, cloud solutions for healthcare enable professionals to outsource data storage to cloud service providers like AWS or Azure to efficiently comply with security and privacy standards like HIPAA and GDPR.
Now that we know the importance of cloud computing in healthcare, lets explore the different types of cloud solutions for healthcare.
Also Read: How to develop a cloud application: A step-by-step process
Cloud computing for the healthcare industry works in two models: Deployment and Distribution.
Private Only one healthcare firm/chain can use the cloud facility.
Community A group of healthcare bodies can access the cloud.
Public The cloud is open for all the stakeholders to access.
Hybrid The model combines multiple clouds with various access options.
Software as a Service (SaaS) In the Software as a Service model, the provider offers IT infrastructure, and the client deploys operating systems and applications.
Infrastructure as a Service (IaaS) The provider gives an IT infrastructure and operating system, and the client deploys applications.
Platform as a Service (PaaS) The provider gives an IT infrastructure, an operating system, applications, and every other component in a ready-to-use module.
Also Read: The key differences between IaaS and PaaS.
While cloud computing for healthcare offers numerous advantages to businesses and patients alike, the technology also combines some significant risks and challenges. Lets have a look at some risks associated with healthcare cloud solutions.
In the healthcare software domain, it can be difficult to find skilled developers who specialize in integrating new technologies into the industry. Likewise, it is tough to find cloud specialists in the healthcare domain.
The applications of cloud services for healthcare alone cannot make the industry efficient. Organizations need to combine cloud computing with the Internet of Things and data management systems to establish an effective analytics architecture.
Switching from legacy systems to cloud systems requires changing the complete operational process. Healthcare organizations must train everyone involved in the process on how the technology can benefit their everyday job.
Storing medical data in the cloud is central to healthcare cloud adoption. This, however, increases the risk of data breaches. It happens because, in a typical cloud setup, one organizations data shares the server with other healthcare organizations, and the isolation mechanisms that are put in place to separate them may fail. It causes a situation where organizations fail to secure their cloud infrastructure from the growing incidents of cyber attacks.
Cloud computing has become an inseparable part of healthcare, offering numerous advantages to businesses operating in the industry. Here are some real-world examples of companies that greatly benefit from the powerful impact of cloud computing on healthcare. These examples demonstrate how cloud computing for healthcare helps businesses enhance patient care, streamline operations, boost collaboration, and improve data management, eventually improving the overall efficiency of medical services.
YouComm is an emerging healthcare technology company that uses cloud computing to enhance patient communication and engagement. YouCOMM uses a fully customizable patient messaging system that enables patients to notify the staff of their needs through manual selection of options, voice commands, and head gestures. By offering secure and user-friendly communication tools, YouComm facilitates collaboration between patients, healthcare providers, and caregivers. The result? Today, 5+ Hospital chains in the US run on YouCOMM solution, while the company witnesses 60% growth in nurses real-time response time. Moreover, 3+ hospitals received high CMS reimbursement.
Soniphi, the very first resonant frequencies-based personal wellness system, uses cloud-based healthcare solutions to provide patients with a complete well-being analysis report on their personal healthcare apps. Their cloud infrastructure supports early disease diagnosis, remote patient monitoring, and telehealth consultations.
Pfizer is a biotechnology and pharmaceutical company using cloud computing in medicine for better collaboration among all parts of its projects since 2016. Pfizer was in the spotlight recently as it developed the vaccine for COVID-19 in partnership with BioNTech. Also, the company works with AWS to create cloud-based solutions that focus on improving the development and distribution processes for clinical trial testing.
As technology evolves, healthcare organizations rapidly embrace cloud solutions to manage massive amounts of data, improve patient care, and streamline operations. Also, cloud computing supports the integration of artificial intelligence into mainstream healthcare operations.
It is why, today, businesses, irrespective of their sizes, are increasingly leveraging cloud computing for a wide range of purposes, including disaster recovery, data backup, virtual desktops, email, software development, testing, and big data analytics.
Looking ahead, the future of healthcare envisions seamless interoperability between the connected medical devices and healthcare systems. It makes medical record sharing safer and easier and automates various operational processes. These endeavors contribute to a more agile healthcare environment, enhancing the overall patient care and delivery of healthcare services.
Cloud computing in the healthcare industry is continually rising, and it is poised for immense transformation and innovation in the coming years.
Looking for risk-proof cloud solutions for healthcare? Partner with us, and we will help you leverage the full potential of cloud computing in the form of streamlined delivery, high security, optimal performance, and reduced costs.
Being a renowned provider of healthcare software development services, we have a team of 600+ cloud specialists who have successfully delivered more than 350 cloud applications for businesses across the globe. Our cloud experts build custom solutions around the common risks associated with 80% of healthcare cloud projects compliance checks, data security, and chances of downtime.
Our custom range of services includes cloud consulting, cloud architecture design, cloud infrastructure configuration, cloud managed services, and code reviews.
From streamlining everyday processes to integrating innovation across the system, our healthcare cloud consulting services tackle all the industry challenges and support your business at every stage of transformation.
Contact us now to adopt cloud computing in healthcare and overcome technical issues.
Q. How is cloud computing used in healthcare?
A. Cloud computing in the healthcare sector provides organizations with a secured infrastructure that makes the data management system more scalable and flexible. The essential functionalities involved in the workflow of healthcare cloud services are authorization, authentication, data persistence, data confidentiality, and data integrity. Here are the key steps describing how cloud computing is used in a healthcare environment.
Q. What are the use cases of cloud computing in healthcare?
A. Listed below are some of the top applications and use cases of cloud computing in healthcare that aim to drive a tech-led healthcare system.
THE AUTHOR
Dileep Gupta
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Applications and Importance of Cloud Computing in Healthcare - Appinventiv