Online data migration made simple with these 3 tools from AWS, Azure, and GCP

As data – and our reliance on it – grows, the way we store it becomes equally vital. Which is why more and more organizations are turning to the cloud.

Moving data to the cloud reduces your infrastructure, maintenance, and operations, and frees up valuable resources by turning capital expenses (capex) into operating expenses (opex).

But like many companies looking to migrate data to the cloud, you may still have lingering questions. Namely, how can you expect to move large quantities of data quickly, efficiently, and with as little disruption as possible?

To this end, the three major cloud service providers (CSPs) – Amazon Web Services (AWS), Azure, and Google Cloud Platform (GCP) – have new tools for online data migration to simplify sending your on-premises data to the cloud.

In this post, I’ll examine how these tools simplify and speed up the data transfer process, as well as take a closer look at each CSP’s respective tool.

Enhancing the data migration process through parallelizing writes

Older online methods of data migration like secure file transfer protocol (SFTP) only use a single thread to transfer data. While this is functional and valid, it doesn’t allow for top-of-the-line throughput, limiting the speed in which data moves to the cloud.

The newer tools, on the other hand, take advantage of parallelizing writes, or multi-thread writes.

Think of this like a highway: If you’re moving data through a single lane, you can only go so fast. By adding additional lanes, or parallel writes, you improve the write performance and, as such, decrease the time it takes to transfer data.

The chart below provides an estimate on speeds and transfer times when working with online data replication.

3 new tools from AWS, Azure, and GCP

The tool you use will depend on which CSP you’ve chosen, and while there are differences, each accelerates data transfer.

  1. AWS Data Sync. This data transfer service simplifies moving data between on-premises and AWS. Key features include:
    • Parallelism and multi-threading, which can result in a data transfer performance increase of 10x
    • An on-premises component that’s simple to deploy and easy to manage
    • Transferred data is encrypted
  1. Azure AzCopy. AzCopy is a command line tool used to copy or sync files to Azure storage. Version 10 is the most recent. Key features include:
    • Optimized to take advantage of multi-threading and parallelism, increasing data throughput when replicating data between on-premises and Azure storage
    • Version 10 is supported on Windows, Linux, and Mac
    • Scripts can be written to execute on schedules, data will be replicated to defined Azure storage targets
  1. GCP Cloud Storage. GCP has provided the gsutil command line utility to replicate or synchronize an on-premises volume to Google Cloud Storage. Key features include:
    • With an existing bucket created, the gsutil utility is downloaded and configured to run once or on schedule via a script
    • Using the rsync flag in gsutil ensures the data replicated to Google Storage matches the source volume exactly

These three online tools are available at no additional charge from each provider. But be sure to check for additional fees for ingress and egress before transferring large data sets in either direction.

The tools are different, but the goal is the same

Older methods of migrating data to the cloud, including copying via the console or using a third-party product, still exist, but with these new tools, CSPs are looking to reduce the operational overhead of migrating data.

In the end, your on-premises data can be sent to the cloud faster, more efficiently, and without impacting the applications or data you’re creating on premises.

How this state health agency regained control of its cloud footprint with AWS Landing Zone

A state health agency, which purchases health care for more than 2 million people, found itself with a visibility problem – it didn’t have any.

The health agency had zero visibility into its Amazon Web Services (AWS) billing or its overall AWS signature, leaving it frustrated with its AWS reseller.

With an annual $500,000 cloud spend and optimization budget, the health agency knew that without properly understanding how its billing correlated with deployment, it would struggle to plan for future engagements within AWS, including a data center migration it had planned.

SHI learned about the health agency’s struggles and reached out to offer our professional services.

The agency switched its managed billing over to SHI and got its management of cloud costs under control. But this was just the beginning of the engagement.

Impressed with SHI’s cloud capabilities, the organization presented SHI with a new challenge: migrate its existing on-premises data center to AWS.

Assessing the situation

The health agency wanted to move its current AWS workload and a separate standalone environment – consisting of its encryption-protected health care applications – to AWS Landing Zone. It wanted to add security monitoring and hardening.

But most importantly, the health agency wanted to reduce the number of hours required every time it wanted to spin up a development environment into the cloud.

SHI performed an AWS migration assessment and discovered the health agency had a bunch of AWS accounts to consolidate, all with their own silos. The environment was not built to AWS’ best practices. The health agency didn’t have control of its accounts and couldn’t pursue DevOps with its current environment.

This was not going to be a simple migration. But that didn’t mean it couldn’t be done.

Devising a plan, migrating to AWS Landing Zone, and incorporating AWS Direct Connect

SHI built out the customer’s new accounts using AWS Well-Architected Review and AWS Landing Zone.

Before migrating to AWS Landing Zone, however, SHI crafted a new organizational structure for the health agency by setting up service control policies (SCPs) with AWS Organizations on each of its AWS accounts. This would give the health agency central governance and management for its multiple accounts and would allow it to expand its AWS footprint.

SHI also created a service catalogue that lets developers request an environment that fits pre-defined parameters. Development request times shrunk from days to minutes. Given the health agency’s small cloud team, this would be invaluable moving forward.

While this wasn’t a simple migration, as all the workloads were encrypted, SHI took snapshots of the workloads, decrypted them, and encrypted them in the new AWS Landing Zone. SHI documented this process, showed the health agency how to do it, and helped it perform migrations of its own. SHI also attended bi-weekly state networking meetings to help the health agency troubleshoot its network architecture.

The final piece of the puzzle was setting up AWS Direct Connect. The health agency had been using a VPN to connect to its environment in AWS. While this was stable, it couldn’t offer guaranteed high performance and bandwidth. AWS Direct Connect could, which is why it was always in the agency’s roadmap.

The health agency didn’t know how to implement AWS Direct Connect in a way that would provide failover from the VPN, so SHI handled that as well. Now the state health agency has two ways to connect to its AWS environment, as well as redundant connections.

Gaining more control over AWS

This state health agency had a laundry list of needs. It wanted to be able to migrate workloads to AWS Landing Zone. But it also wanted to gain legitimate visibility into its AWS billing and footprint.

8 tips to enable a cloud-based remote workforce

Only a third of people in the United States worked remotely prior to March 4, according to a Workhuman survey. A mere three weeks later, the reality is starkly different.

Thousands of employees nationwide are being told by their employers or their government officials to stay and work from home with no clear answers on when the restriction will lift.

With so much uncertainty, one thing is crystal clear: Your organization needs a business continuity plan in place to minimize disruptions and enable employees to do their jobs from home.

Cloud providers like Amazon and Microsoft offer platforms for employees to securely work remotely with cloud virtual desktops and remote app access. And over the last week, we’ve seen a sharp uptick in customer requests to scale out the number of virtual desktops in the cloud, rapidly interconnect public clouds to customers’ on-premises networks, and preconfigure remote access to Microsoft Azure services, like Windows Virtual Desktops (WVD) and Remote Desktop Services (RDS), or Amazon AWS WorkSpaces and AppStream with core business applications.

If you find yourself suddenly playing catch up, now tasked with enabling access to core applications and data in the cloud, consider these tips:

  1. Confirm that your staff can reach your cloud-based hosted desktops, applications, and services directly using HTTPS or SSL without having to go through the company network. Eliminating any single point of failure reduces potential downtime in the most critical of situations.
  2. Implement two-factor authentication using smart cards, security keys, or mobile devices. This will add additional layers of security for individuals truly authorized to access your data.
  3. Ensure you have enough bandwidth coming into your company to handle any increased remote traffic. Then consider doubling it. The last thing you need is a poor – or no – user experience, which eventually equates to productivity loss.
  4. If leveraging Azure, consider implementing technology like Azure File Sync to replicate data on-premises to the cloud to make it accessible, modifiable and maintain replication, and limit reliance on a virtual private network (VPN) connection.
  5. Validate you have backups, redundancy, and scale-up capability designed into your services so your employees can keep working when the extra traffic makes your primary services slow down.
  6. If using user-initiated VPN, ensure all remote employees can access it and that you have enough licenses for everyone working remotely.
  7. Enable the necessary logging and diagnostics tools so you can quickly mitigate and troubleshoot the user experience or connectivity issues.
  8. Clearly document all technology protocols and instructions and include visuals. For many users, this may be their first time working remotely and using extra layers of authentication. Clear documentation will help lower the learning curve and eliminate calls to the Help Desk.

We know how important the right technology is for your organization to continue to operate, serve customers, and support employees. And now, more than ever, we know time is of the essence.

Whether you already had a business continuity place in place, or you’re rushing to stand up a solution now, these tips will help ensure you’re on the right path.

What is data fabric, and why should you care?

Data is growing at an exponential rate. Given the increasing number of handheld and IoT devices, it’s getting hard to ignore. And this is only the beginning.

It’s believed that by 2020, we will have over 50-60 zettabytes (ZB) of data. This doesn’t just include documents, pictures, and videos. We’re talking about the data that companies not only need, but should be using to meet their overall business goals.

Unfortunately, just because all this data exists, that doesn’t mean organizations have the means to collect, organize, and maximize all it has to offer. Considering the time to market with products, services, and opportunities has shrunk to the point where decisions and reactions need to be instantaneous, companies need a way to tap into all that data has to offer.

So what’s the solution to this problem? Data fabric. Allow us to explain.

What is data fabric?

Simply put, a data fabric is an integration platform that connects all data together with data management services, enabling companies to access and utilize data from multiple sources. With data fabric, companies can design, collaborate, transform, and manage data regardless of where it resides or is generated. According to NetApp, by simplifying and integrating data management across on-premises and cloud environments, data fabric allows companies to speed up digital transformation.

Why do we need data fabric?

Three things come to mind: speed, agility, and data unification.

For instance, say you’re in need of a new shirt. The first thing you do is search the web for a shirt. Within seconds, pop-up ads appear on every website you access. This is an example of the data fabric analyzing, organizing, and transferring data to fit the needs of the company.

Data now comes from almost anywhere in the world, and it also comes in many different forms. For example, database data is now located all over the world like electronic libraries used for research and learning.

As a result, leaders in software and hardware technologies are working to figure out how to share data among different platforms without conversion or migration. Whether they’re dealing with on-premises, cloud, or hybrid environments, thanks to data fabric, companies are better equipped to unify, blend, integrate, transfer, and manage the siloed variety of data.

What does the future of data fabric look like?

Technology systems are becoming more complex and businesses are facing greater challenges than ever before. In addition, future technology promises to be even more complex, with IoT, mobility, digital workspace, and virtualization generating a variety of new data.

As a result, developers are being asked to build applications that gather data across diverse silo systems, including on-premises, cloud, multi-cloud, SQL, NoSQL, or HDFS repositories. Often that results in slow, ineffective, and complex solutions. Unfortunately, these solutions clash with the business challenges companies face today, many of which require applications with accelerated timelines.

Data fabric enables companies to face these challenges head on, offering greater connectors for unification, data integration, and analytical insight. We expect the demand and need for data fabric to get stronger, as companies look to stay on top of emerging technologies and services, new trends, and the continued deployment of applications to meet any and all of their business needs.

Automating data governance: 5 immediate benefits of modern data mapping

Data privacy legislation like GDPR and CCPA has caused a certain amount of upheaval among businesses.

When GDPR went into effect, many organizations weren’t in compliance, and some still weren’t sure where to start. With the advent of CCPA in California, and ongoing talks at the FTC about national consumer data privacy rules for the U.S., the issue of data governance will only grow more visible and more critical.

Unfortunately, many businesses still aren’t ready. Many have no documentation on how data moves through their organization, how it’s modified, or where it’s stored. Some attempt documentation using spreadsheets that lack version control and are at the mercy of human error.

But the implications of data governance go well beyond compliance. Here are five reasons why it’s time to professionalize your documentation and map your data using automation.

1. Compliance

Data privacy laws are arriving whether businesses like it or not. GDPR famously caught businesses by surprise, despite a two-year heads up that it would be taking effect. Less than a month before GDPR was set to take effect in May 2018, Garnter predicted that more than half of companies affected by the law would fail to reach compliance by the end of the year. More than 18 months later, at the end of 2019, new data suggested 58% of GDPR-relevant companies still couldn’t address data requests in the designated time frame.

To achieve compliance with GDPR and CCPA, you essentially need to know how data comes into your company, where it goes, and how it’s transformed along the way. Organizations struggle to do so because they haven’t properly mapped data’s path through their environment.

Spreadsheets are no solution. To prove compliance, you need accurate, current, and centralized documentation mapping your data. Automated tools speed the process and deliver foolproof compliance.

2. Saving Time And Resources

Data scientists bring a lot of value to an organization, but given their specialized and in-demand skills, the average base salary for a data scientist ranges from $113,000 to $123,000. More experienced data scientists command even more.

Unfortunately, at many organizations, data scientists spend 30-40% of their time doing data preparation and grooming, figuring out where data elements came from, and other basic tasks that could be automated.

When data scientists spend so much time on basic tasks, the organization isn’t just losing the time and cost it takes to do that work, it’s losing the opportunities that could be uncovered if the data scientists spent more of their time on data modeling, actionable insights, and predictive analysis.

3. Accelerating Modernization Efforts

Many companies are looking to transition their data from in-house data centers to more cost-efficient cloud databases, where they only pay for the compute power they use. It’s an opportunity to realize cost savings and modernize their environment.

But it can be a strenuous process if you don’t know what’s flowing into on-premises hardware, because you won’t be able to point the same pathways at the cloud. Documenting those pathways manually can be precarious and time consuming at best. Automated tools that map the data pathways for you can accelerate the transition.

4. Improving Communication And Collaboration Between Business And IT

Business and IT often live in different worlds. This is one of the reasons why so few companies have successfully mapped their data. The ETL coders live in the world of data, so when asked about mapping, they just say it’s in the code. They’ve been trained to prioritize productivity in their code, not to focus on documenting, and that different mindset can create a disconnect with business users.

Business users can see IT as uncooperative. IT can see business users as demanding. But with the right tools, you can take this area of contention and turn it into business value.

With the right tools, you can generate glossaries relating business terms to technical metadata and find every term related to GDPR, for example, offering business users the insight they need. IT can do what it has been trained to do and business users can access data lineage and even a whole architectural overview. The end result is better communication and collaboration between the two.

5. Making Confident And Precise Decisions

If you haven’t mapped your data, if you don’t know where the information came from, how it was modified, and so on, that creates major problems for any actionable insights you’ve extracted from the data. If you don’t know where the data originated, how can you trust that it’s accurate and a solid basis for decision-making?

Without that certainty, you might have decisions that are directionally correct, but lack precision. With detail, transformation logic, and comprehensive documentation, you can trust the data is high quality and accurate, and any decisions based on that data are more targeted and precise.

Automating Data Mapping And Governance

Especially now that major consumer privacy laws are active and others are taking shape, it’s essential to know the entire path of data through your organization and to map and understand that path.

But manual processes, no processes, and spreadsheets won’t cut it anymore. All are dated strategies from years ago, before the explosion in data collection, before user-friendly automated tools widely existed.

Asking ETL coders to document what they’re coding is often a battle you’ll lose. But ultimately, you don’t need to ask that question. Automated tools can map the path of data, provide full documentation of your data lineage and impact analysis that’s scalable, always up to date, and not vulnerable to human error.

Data governance is more important than ever. It’s time to invest in the tools to prioritize it.

Gain control at the edge: 3 strategies for overcoming edge computing challenges

More than 75% of enterprise data will be created and processed outside the data center or cloud by 2025, according to Gartner. To keep pace with this movement, you’ll need to place compute power closer to where data is generated – whether on premises, in the cloud, or at the edge – and ensure 100% availability.

This requires complete visibility into every aspect of your distributed environment – a requirement complicated by decreased headcounts, lack of dedicated IT spaces, unstaffed sites, and budget restrictions.

But unified management across sites isn’t out of reach. Here are three strategies for overcoming edge computing challenges.

1. Streamlined, Standardized Technologies

Edge computing environments are often found in remote, real-world locations – think manufacturing plants, hospital operating rooms, or school systems – where there is little-to-no IT support and varying levels of power and connectivity.

Standardized edge computing components can help in these areas.

With pre-integrated, pre-validated, and pre-tested converged and hyperconverged infrastructures in these environments, you can deploy devices quickly or easily swap them out on the fly. Furthermore, these components have smaller form factors that allow you to maximize floor space for the core business.

2. Intelligent Monitoring And Management Tools

Having watchful eyes to manage your environment when you’re not there is vital to overcoming edge challenges. This is where intelligent monitoring and management tools come into play.

Today’s intelligent software solutions leverage cloud, IoT, machine learning, and artificial intelligence (AI), enabling you to remotely monitor thousands of connected devices. From there, you can centralize that data, prioritize alerts, and aid in remote troubleshooting.

With these tools keeping an eye over your environment, you can gain remote visibility and proactive control over all edge computing system assets, regardless of vendor.

3. Expert Partner-Led Services

If your organization doesn’t have the expertise to implement or manage the tools for overcoming edge difficulties, you can also look for management services to augment your IT team.

Some of these services may include design, configuration, delivery, installation, remote monitoring and troubleshooting, on-site parts or unit replacement, and monthly reporting and recommendations.

These sophisticated, scalable services and support offerings are often less expensive than in-house models. Plus, they keep you from having to hire expensive, hard-to-find IT talent, so your team can focus on mission-critical initiatives.

The Three-Pronged Approach In Action

Our engagement with the Bainbridge Island School District near Seattle, Washington, is a perfect example of how this three-pronged approach can help you overcome edge IT challenges.

While the district serves just 4,000 students, it has a relatively small IT team and its 11 sites are mostly unstaffed. However, its distributed environment relies heavily on continuous connectivity to power its digital classrooms and devices. Downtime isn’t in the curriculum.

After installing uninterruptible power supplies in all facilities, along with battery back-up, the district installed data center infrastructure management (DCIM) software to help supervise its network infrastructure. Unfortunately, the flood of data caused by the frequent changes in the power utility supply overwhelmed the district’s IT team.

To prioritize time and attention, the Bainbridge Island IT team implemented a cloud-based data-center-management-as-a-Service (DMaaS) solution that pulls all device data, regardless of vendor, into a central repository and makes it available on their smartphones. Alarms are automatically prioritized, allowing the team to quickly zoom in on affected devices and address problems quickly and efficiently.

As a result, not only do students and teachers enjoy an uninterrupted learning experience, the IT team has reduced the time spent on after-hours monitoring and troubleshooting from hours to minutes.

Get Control At The Edge

Standardized technologies, AI-enabled remote monitoring and management, and a proactive partnership helped the Bainbridge Island School District gain control at the edge. And its action plan can help others achieve similar results.

If Gartner’s forecast holds true, and 75% of data is created and processed outside the data center and cloud by 2025, you’ll need to take the necessary steps to adapt. By incorporating an approach that combines streamlined technology, monitoring and management tools, and services delivered via expert partners, you’ll be well on your way.

AI and ML in edge computing: Benefits, applications, and how they’re driving the future of business

The edge is not a new concept, but it’s about to take off in a major way.

According to Gartner, by 2022, over 50% of enterprise-generated data will be created and processed outside the data center and cloud.

To keep up with the proliferation of new devices and applications that require real-time decisions, organizations will need a new strategy. That’s where edge computing comes into play.

Edge computing involves moving processing power closer to the source of the data to reduce network congestion and latency, and extract maximum value from your data. By taking this approach, companies can use this information to further enhance business outcomes.

However, there is a caveat. You must account for data growth. The new applications at the edge are continuously producing massive amounts of data, and often, organizations require real-time responses based on that data.

One way to do so is with artificial intelligence (AI) and machine learning (ML). AI and ML enable companies to parse the data and maximize the value of their assets, while accelerating the push to the edge.

The Role Of AI And ML At The Edge

AI and ML are transforming how we leverage application and instrumentation data. Real-time analytics are now possible.

In two years, we will see a 10% improvement in asset utilization based solely on a 50% increase in new industrial assets having some form of AI deployed on edge devices, per an IDC FutureScape report.

Take wind turbine farms, for example. Wind turbines are typically in remote settings and widely distributed. This makes computing extremely difficult. It’s inefficient to try to stream all the data back to a centralized data center for processing.

Edge computing removes these physical limitations. The data is collected from sensors on the turbines and processed closer to the source at the edge, reducing latency.

The addition of ML and AI at the edge then enables business intelligence and data warehousing. You can spot historical trends, optimize inventory, identify anomalies, and even prevent future issues, resulting in less downtime and higher profitability.

Everyday Use Cases For AI And ML In Edge Computing

The use of AI and ML in edge computing usually falls within two emerging technologies: natural language processing and convolutional neuro networking.

Natural language processing involves parsing human speech and human handwriting. It also incorporates text classification. Some common use cases include:

  • Smart retail: AI analyzes customer service conversations and recognizes historically successful interactions
  • Call centers: AI analyzes calls and creates metadata that offers predictions and suggestions for automated customer responses
  • Smart security: For consumers, smart devices listen for noises that sound like broken glass; for public safety, AI detects gunshots
  • Legal assistants: AI assistants review legal documents and make suggestions for language clarity and strength

Convolutional neuro networks focus on visualization algorithms. These can identify faces, people, street signs, and other forms of visual data. Some common use cases with this technology include:

  • Quality control: Inspect for defects in factories and other facilities
  • Facial recognition: Find people at risk in a crowd; control access to a facility or workplace
  • Smart retail: Look at personal attributes of shoppers to make product suggestions that elevate the customer experience, and can be used to recommend additional items
  • Health care: Assist doctors by analyzing an image to check for things like tumors
  • Industrial: Safety in a factory setting — look for the locations of workers if someone gets injured; identify dangerous machinery and shut it down if there’s a malfunction

There are countless applications for ML and AI in edge computing. Whether you’re analyzing video or audio data, these technologies can enhance safety and security, improve interactions with customers, and achieve more efficient business outcomes. By processing, interpreting, and acting on the data at the edge using AI and ML, the results arrive with the speed required for safety, sales, and manufacturing situations.

What are the best cloud computing services?

Because of the popularity and benefits, cloud computing services are in high-demand. That comes with another issue for users, which is to pick the right providers. What are they?

cloud computing

The benefits of cloud computing is undeniable. Not only have cloud services helped businesses to develop virtualized IT infrastructure, but also deliver software through the cloud. There are many different cloud services providers in the market that offer huge potential for improving performance and profits of the business. But what are the best cloud computing service providers? Let’s check them out! 

  • IBM Cloud

This cloud computing services provider from IBM offers many different services. Their services don’t need to be cloud based. In fact, IBM Cloud provides solutions for both virtual and hardware –based servers, private and management networks.

IBM’s clients can easily access and control their entire server. That means they can improve their performance without worrying about any problem from the “neighbor”.

IBM Cloud is a big provider in the market

IBM Cloud is highly customized. Users can pick anything they want for the server that they would love to use. The prices for IBM Cloud’s plans are also reasonable. With all the interesting features and prices, IBM is one of the best cloud computing services providers in the market.

Pros:

  • It has pre-configured tools and management tools
  • Fully customizable
  • Amazon Web Services

When it comes to Amazon, we feel the reliability that a big name brings. AWS has been around since 2006, providing cloud computing to both individuals and organizations.

It is a cloud-based program that supports business by building solutions using integrated web services. AWS comes with Elastic Cloud Compute (EC2), Simple Storage Service (S3), Elastic Beanstalk, and Relational Database Service (RDS). They are a wide range of IaaS and PaaS services. 

In addition, the admin controls via Web client allow users to access different features such as encryption key creation and auditing. Also, users can customize infrastructure requirements which doesn’t cost as much as if you were set up in your own premises.

AWS offers three different packages. The first one is ‘Pay as you Go’, the second one is ‘Save when you reserve’ and ‘Pay less using more’ comes last. The cloud services provider also offers a free 12-month tier. You must cancel your subscription or buy a plan when your trial period has expired. However, it is quite difficult to contact their support team.

Pros: 

  • It is highly customizable
  • There are free trials for new users

Cons:

  • There are some customer support problems
  • Microsoft Azure

Microsoft is another tech giant on the list. Its cloud service was founded in 2010 and has been allowing users to run any service on the cloud. Besides, users can combine Microsoft Azure with existing applications or data centres.

Microsoft Azure supports all types of business

With Microsoft Azure, you can find an extensive range of solutions that can be applied for all types of business. It doesn’t matter what your company is doing, the provider can support it. 

It doesn’t require you to have physical servers on site. Therefore, businesses can save costs for an onsite server support team. Also, the transfers are fast and easy thanks to the Azure Migration Centre. The solution is not only compatible with Windows, but also Linux.

There is a 12-month free tier for new customers who want to try out the services. Even when you choose a Microsoft Azure’s plan, the prices and plans are still very competitive. Depending on your needs, you can choose a suitable plan.

Pros:

  • It is compatible with Windows and Linux
  • It offers 12-months free

Cons:

  • Slightly more expensive than its competitors
  • Google Cloud

This is a cloud service provider from Google which allows users to create business solutions using modular web services provided by Google. It also comes with many services including IaaS and PaaS solutions.

Google Cloud comes with a secure infrastructure built by a team of skilled engineers, which ensures that everything users build, create, or store will be well protected. 

There are many tools offered by Google Cloud such as Compute Engine, Cloud Storage, App Engine, Container Engine, and Big Query. They ensure consistent performance and management. Not to mention, using a plan from Google Cloud, it is easy for businesses to migrate to virtual machines with flexible pricing. Similar to the two above, Google Cloud offers a free 12-month trial for new users. However, it can be hard for them to set it up as a beginner.

Pros:

  • It has an easy to use interface
  • Highly secured
  • It offers a 12-month free trial

Cons:

  • Setup can be difficult

 

The benefits that cloud computing brings to businesses

Cloud computing is one of the best modern technology and storage applications available today. So what are the benefits it brings to the business?

We live in an era of internet boom, where information is transmitted without limitation at any time, anywhere. One of the trends mentioned by IT professionals and businesses today is ‘cloud computing’. Despite facing many concerns, cloud computing is growing faster and more powerful than ever. The popularity of cloud computing is increasing at a dizzying pace, radically changing the way businesses do business. So what are the benefits of cloud computing for businesses?

Put simply, cloud computing is the internet. Traditional computing forces users to run the program through a server or a personal computer located in close proximity, such as in the same building. With cloud computing, all activities happen in the ‘cloud’, also known as the internet.

The need to transfer between traditional computing and the new system between small and large enterprises is equal, and there is also a growing trend in small and medium enterprises due to the ability to save costs of cloud computing.  

However, cloud computing is constantly evolving, along with the aggressive reduction of prices makes competition among businesses increasingly fierce.

Cloud computing is becoming increasingly popular with incredible speed. The transition between the old system to this new system is completely outside the general trend of progress. Businesses that do not follow the trend will face the risk of rejection. So, what are the benefits of cloud computing for businesses?

Cost savings

With cloud computing, businesses can reduce or completely cut down on the initial investment because there is no need for on-site data centers (no server, hardware, software, equipment depreciation, etc.). In addition, the power used in server operation and cooling has decreased, contributing to increased environmental friendliness.

With the reduction of investment capital, no need to install and maintain the data center in place, the cost can be used for other crew projects and businesses will have more time to focus on  main business activities.

Instant access anytime anywhere

Data can easily be stored, downloaded, restored, or processed with just a few clicks. Users can access their accounts on the go, 24/7, via any device, anywhere in the world as long as you’re still connected to the internet. On top of that, all updates and updates are done automatically, thus saving a lot of time and effort to maintain the system, significantly reducing the workload for the IT team.

The ability to transform endlessly

The application of cloud computing is extremely rich, often classified by features and belongs to one of the following three types of services:

  • Software as a service (SaaS)
  • Infrastructure as a service (IaaS)
  • Platform as a service (PaaS)

Users can also optionally create a private, public or hybrid cloud model, or optionally to determine the location of your virtual data center. Cloud computing offers countless applications, endless changes depending on the budget of the business.

Adaptability

Besides endless transformations, cloud computing can adapt to any change. For example, businesses may choose to increase the amount of website support from 2,000 to 10,000 people a day during the Christmas promotion.

Businesses are completely free to switch from a private network/Ph.nextgov

In another example, businesses are completely free to switch from a private network to a corporate network, or temporarily expand the storage capacity, cloud computing can do it all smoothly, meet all needs your bridge.

Sustainable cooperation, not disturbance

A common occurrence is when you are disoriented while following a project. The reason is because after sending files back and forth, the discussion becomes chaotic, the file has been edited so many times that no one recognizes the final product.

With cloud computing, files are centrally and consistently stored, accessed anywhere, creating a virtual space where people directly discuss, share a file and get feedback.  instant. This makes productivity significantly improved, minimizes trouble, increases customer satisfaction, and more.

Data security

As mentioned above, one of the concerns about using cloud computing is information security. Service providers must always ensure that the security system is updated continuously and at the same time with all new features through rigorous testing. All operations on the cloud will be regularly monitored and audited by third parties to ensure that safety standards are met. 

Businesses can be large or small, but the use of cloud computing in the work process is inevitable. Cloud computing with many modern features, utilities and advantages will certainly bring a lot of benefits to businesses.

7 common applications of cloud computing

Cloud Computing has only been developed recently but is becoming more and more popular. From small start-ups to international corporations, from government agencies to non-profit organizations, all are using cloud services for a variety of reasons.

Cloud database

Your business needs to run very large databases but your budget is tight or your company is not qualified to do it. In that case, the cloud database is a better alternative.

Cloud computing provides IT teams with a powerful database without the company having to actually own the infrastructure (servers). Your service provider not only supports but also is responsible for all maintenance and operation of the database system, your sole responsibility is to process your own data.

Moreover, cloud database provides endless scalability for businesses.

Tested and developed

Testing for development are important steps to ensure that your application can run smoothly, without errors and can be used. To successfully test your application, you need a simulation environment capable of replicating real business operations to validate the results obtained after the simulation.

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Taking advantage of the available resources of cloud computing, you will not spend time and effort to manually build a simulation environment for businesses. You will be provided with a variety of available environments, tailored to your specific needs and within the reach of your business.

When your programming staff thinks the application is ready, it can be put into a test environment for analysis. Moreover, this platform can also be used for training purposes.

 

Storage for the site

Hosting your website in the cloud is essential if the current system cannot cope with the continued growth of the business. If you have built a stable website, you will know that web hosting accounts for the majority of IT resources.

Hosting your website on the cloud provides the company with scalability. In case of a problem, your company website simply switches to the nearest available server, or many other servers can be added in case your needs change.

The most important thing is that you only need to pay according to the actual needs of the web hosting service in the cloud, the security is guaranteed by your service provider. This frees up time and effort throughout the company to focus on other more important aspects such as content development.

Big Data Analysis

Putting your data in the cloud may not shrink the size of the data, but it will certainly make it easier to manage and when combined with analytics, Enterprises can draw valuable information to exploit and use.

One of the big challenges of data is its handling. How to extract only the most useful information from a multitude of disorderly data? Many big data analytics platforms are adopting cloud computing technology that enables businesses to process data.

Store and share data

This is one of the most basic forms of cloud computing. The data is stored in the cloud, making sharing, retrieving and storing extremely easy. Google Drive, Dropbox, Shutterstock are the most popular examples of this service.

Performance will be boosted quickly with virtual offices where you and your colleagues can easily update project status, get feedback or simply edit / evaluate budgets. In fact, the days when you had to submit budget plans in various formats are gone.

Backup and restore data

Data should be backed up regularly, but many businesses do not follow the process. Today, we still copy data manually via storage devices, both time-consuming and costly.

Disaster recovery is a strategic plan to effectively back up and restore business data in the event of a natural disaster or human accident. Implementing a disaster recovery plan through cloud services can bring many benefits to businesses in addition to operating cost savings.

Application for business management

Currently, there are many cloud-based applications that possess an intuitive interface, easy to use and suitable for each specific industry.

On the other hand, one concern that could prevent you from moving to cloud technology is cybersecurity risk. All activities taking place in the cloud are closely monitored and regularly checked by third parties. There are standards that service providers must meet to keep up with fierce competition and avoid cyber threats.

All in all, cloud computing is becoming increasingly important in our lives