Why everyone is moving to the cloud, you should too.

A majority of businesses today continue to maintain their operating systems in a legacy application style. Legacy applications are designed to support specific business processes for a given organization, and they generally do not prioritize flexibility or updating. Legacy applications reside on laptops, workstations, or mainframe computers and cannot be modified by end-users.

Application modernization is no longer an option in today’s IT landscape. Companies of all sizes are exploring cloud transformation strategies to reduce costs, drive innovation and increase agility. Cloud-first initiatives introduce new technologies such as containers, microservices, and serverless computing. How can we update or migrate to a microservices architecture while maintaining performance and availability?

The lengthy process of provisioning servers is what makes the cloud promises. From an operations standpoint, the most time-consuming tasks include configuring infrastructure servers and applications and securely deploying them. With automation tools and managed services, many systems integrations can be automated to free up your time that would have otherwise been spent manually configuriA majority of businesses today continue to maintain their operating systems in a legacy application style. Legacy applications are designed to support specific business processes for a given organization, and they generally do not prioritize flexibility or updating. Legacy applications reside on laptops, workstations, or mainframe computers and cannot be modified by end-users.

Application modernization is no longer an option in today’s IT landscape. Companies of all sizes are exploring cloud transformation strategies to reduce costs, drive innovation and increase agility. Cloud-first initiatives introduce new technologies such as containers, microservices, and serverless computing. How can we update or migrate to a microservices architecture while maintaining performance and availability?

The lengthy process of provisioning servers is what makes the cloud promises. From an operations standpoint, the most time-consuming tasks include configuring infrastructure servers and applications and securely deploying them. With automation tools and managed services, many systems integrations can be automated to free up your time that would have otherwise been spent manually configuring resources.

Over the past few years, the cloud has been taking over the application world. Companies of all sizes immersed in the cloud and started using the products of multi-billion dollar companies: Amazon Web Services (AWS), Microsoft Azure and Google Cloud, and Alibaba Cloud. But this transformation wasn’t as simple as it sounds. How do you transform complex applications that have existed for decades on-premises into cloud-first services and meet IT’s business demands?

With the advent of cloud computing, we are seeing a huge shift in IT toward agile development methodologies and modern application architectures. This shift requires a fundamental change in how enterprise applications are delivered from a lifecycle perspective, but one area that often gets overlooked is a transformational business priority. Cloud enables us to be leaders and innovators rather than followers and imitators, yet many legacy applications impede this transformation. So how do we achieve new business agility when our existing applications depend on old technologies.

“So what’s so difficult about getting started with the cloud?” you ask. That’s a great question. The answer is that transitioning from traditional infrastructure to the cloud isn’t necessarily hard. It’s just different. To be successful with the cloud, you need to shift your mindset and adopt a more agile approach to IT management.

Cloud computing, or simply cloud, is non-localized computer storage and processing service that allows users to access their applications and data irrespective of their physical location. Cloud computing services are delivered via the Internet or other ‘cloud’ architectures in which the resources are pooled rather than being dedicated to a specific client.

For many of the legacy applications we operate, it is no longer a question of IF we will move to the public cloud, but WHEN and HOW. The hybrid cloud is becoming the new normal, and enterprises are redefining what it means to be “cloud-ready.” Today’s customers demand innovation at speed that far exceeds many other industries. Cloud computing delivers an architecture flexible enough to support exponential growth and innovation via services like Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) while helping to drive down costs and improve overall business agility.

Cloud storage and cloud computing have exploded in popularity. The software-as-a-service model has taken off. Big players like Google, Microsoft, Yahoo, IBM, Alibaba, and Amazon Web Services are more deeply invested in the cloud than ever before. But what’s causing this mad dash to the cloud? Why are companies moving to the cloud in droves? What’s so appealing about it? And if my company doesn’t need to store data on the cloud anyway, why is everyone paying more for this service?

Cloud Service Providers are designed to deliver 99.999999999% durability and 99.99% availability of your data. It’s already a lot more reliable than some of the technologies you use to store your data.

Cloud providers can also take care of many of the more mundane and tedious details of securing your data that you’re undoubtedly accustomed to dealing with on-premise.

AI Surge extends the capabilities of your cloud storage by offering monitoring capabilities provided by data analytics platforms provide an advantage. It may be tempting to run your analytics platform and then use a separate monitoring package if you want notifications when problems occur. This is inefficient and can cause data issues. A built-in status monitoring tool keeps the data more accurate.

Cloud-based workflow and file-sharing apps help teams access, edit, and share documents from anywhere. This shared access increases collaboration, and users know they can access the latest updates. Teams can perform their tasks more efficiently.

Faster deployment times can quickly translate into better performance. Cloud migration capabilities provided by AI Surge will allow you to migrate your data with just a few clicks.

The networks are thickening to accommodate more people, devices, and applications as the link between countless enterprise systems. As this connection grows, so does the complexity of managing it all. It’s becoming increasingly difficult for companies to manage endpoints on their networks — whether they are people, software services, communications, or devices. That’s where unified access management comes in. It works with your network and applications to provide a more straightforward way to connect anything to everything and everyone securely.

Businesses are going to be more cloud-heavy in the future. Today, companies like Slack, Evernote, and Salesforce take over the workspace. Many of these companies are built on AWS and Azure cloud infrastructure. And as these companies grow, they are pushing others to move their workloads into the cloud. That’s where we see a gap in the marketplace. There is a real need for clean, simple cloud migration services that take care of all the details while giving you expert technical support. That is where AI Surge comes in. Its Cloud Migration Services allows you to navigate the complexities of cloud migration leading to end-end transformation in your organization.

The first inclination as technical-minded people tends to drive us toward understanding just the technical side of how things operate—inputs/outputs, logical boundaries, database schemas, etc. That is a critical aspect to unearth and grasp, and equally as important is understanding the business or operational need that drives the technical implementations.

If your company isn’t ready to go all-in on the cloud, there are ways to start small. You don’t have to place your entire infrastructure and data in one fell swoop into the cloud. Transitional strategies – where you bring some applications and systems into the cloud while keeping others on-premise – give you more time and flexibility as you begin the digital journey. AI Surge allows for that flexibility.

AI Surge Cloud Migration feature focuses on helping organizations refocus their business while taking advantage of cloud technology. Enterprises are adopting cloud technologies for different reasons, including reducing costs, increasing flexibility, or ensuring peak performance. We provide you with the tools to get ahead of the curve for cloud migration.

The flexibility of the cloud comes in many forms. Flexibility is built into the design and architecture of cloud computing, enabling resources to be scaled up or down as required. Flexibility lies in the ability of cloud services to provide near-permanent availability of applications even when components must be taken offline for maintenance. Even the architecture of computing resources can be flexible, with some in-house hardware co-existing with off-site infrastructure that lives in the cloud.

If there is one benefit of cloud computing that everyone can agree on, it’s its flexibility. The elasticity of the cloud allows you to scale up and down based on your current needs; there is no capital outlay for hardware when you are at low capacity, and you can add resources instantly when demand grows.

The cloud can be a more flexible solution as it allows for easy scaling of capacity on demand. If you need to upgrade or downgrade, you can do so quickly and easily. Similarly, it’s possible to expand and reduce your capacity on short notice. What's the effect? Cloud computing can significantly reduce fixed costs for businesses of all sizes and allow them to be more competitive through agility and flexibility.

Migrate apps and services to the cloud faster by moving them into self-service platforms. Self-service cloud platforms allow users to provide resources without requiring IT or other staff assistance. Whether an employee needs a new server to test a new application, troubleshoot an existing issue, or perform some other task, self-service cloud environments allow employees to take care of things themselves if they have the required credentials and permissions.

There is another wave of technology on the rise— artificial intelligence (AI). AI technologies can learn from the data provided by a business and improve outcomes without human intervention. Enterprises are moving to the cloud, and AI Surge offers a secure and easy way to get there.

Many reasons to migrate to the cloud include increased elasticity, scalability, and cost efficiencies. Cloud migration means you can often reduce your capital expenses by avoiding purchasing hardware, and it also allows you the flexibility to scale up capacity when needed.ng resources.

Over the past few years, the cloud has been taking over the application world. Companies of all sizes immersed in the cloud and started using the products of multi-billion dollar companies: Amazon Web Services (AWS), Microsoft Azure and Google Cloud, and Alibaba Cloud. But this transformation wasn’t as simple as it sounds. How do you transform complex applications that have existed for decades on-premises into cloud-first services and meet IT’s business demands?

With the advent of cloud computing, we are seeing a huge shift in IT toward agile development methodologies and modern application architectures. This shift requires a fundamental change in how enterprise applications are delivered from a lifecycle perspective, but one area that often gets overlooked is a transformational business priority. Cloud enables us to be leaders and innovators rather than followers and imitators, yet many legacy applications impede this transformation. So how do we achieve new business agility when our existing applications depend on old technologies.

“So what’s so difficult about getting started with the cloud?” you ask. That’s a great question. The answer is that transitioning from traditional infrastructure to the cloud isn’t necessarily hard. It’s just different. To be successful with the cloud, you need to shift your mindset and adopt a more agile approach to IT management.

Cloud computing, or simply cloud, is non-localized computer storage and processing service that allows users to access their applications and data irrespective of their physical location. Cloud computing services are delivered via the Internet or other ‘cloud’ architectures in which the resources are pooled rather than being dedicated to a specific client.

For many of the legacy applications we operate, it is no longer a question of IF we will move to the public cloud, but WHEN and HOW. The hybrid cloud is becoming the new normal, and enterprises are redefining what it means to be “cloud-ready.” Today’s customers demand innovation at speed that far exceeds many other industries. Cloud computing delivers an architecture flexible enough to support exponential growth and innovation via services like Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) while helping to drive down costs and improve overall business agility.

Cloud storage and cloud computing have exploded in popularity. The software-as-a-service model has taken off. Big players like Google, Microsoft, Yahoo, IBM, Alibaba, and Amazon Web Services are more deeply invested in the cloud than ever before. But what’s causing this mad dash to the cloud? Why are companies moving to the cloud in droves? What’s so appealing about it? And if my company doesn’t need to store data on the cloud anyway, why is everyone paying more for this service?

  • Cloud Service Providers are designed to deliver 99.999999999% durability and 99.99% availability of your data. It’s already a lot more reliable than some of the technologies you use to store your data.

  • Cloud providers can also take care of many of the more mundane and tedious details of securing your data that you’re undoubtedly accustomed to dealing with on-premise.

  • AI Surge extends the capabilities of your cloud storage by offering monitoring capabilities provided by data analytics platforms provide an advantage. It may be tempting to run your analytics platform and then use a separate monitoring package if you want notifications when problems occur. This is inefficient and can cause data issues. A built-in status monitoring tool keeps the data more accurate.

  • Cloud-based workflow and file-sharing apps help teams access, edit, and share documents from anywhere. This shared access increases collaboration, and users know they can access the latest updates. Teams can perform their tasks more efficiently.

  • Faster deployment times can quickly translate into better performance. Cloud migration capabilities provided by AI Surge will allow you to migrate your data with just a few clicks.

The networks are thickening to accommodate more people, devices, and applications as the link between countless enterprise systems. As this connection grows, so does the complexity of managing it all. It’s becoming increasingly difficult for companies to manage endpoints on their networks — whether they are people, software services, communications, or devices. That’s where unified access management comes in. It works with your network and applications to provide a more straightforward way to connect anything to everything and everyone securely.

Businesses are going to be more cloud-heavy in the future. Today, companies like Slack, Evernote, and Salesforce take over the workspace. Many of these companies are built on AWS and Azure cloud infrastructure. And as these companies grow, they are pushing others to move their workloads into the cloud. That’s where we see a gap in the marketplace. There is a real need for clean, simple cloud migration services that take care of all the details while giving you expert technical support. That is where AI Surge comes in. Its Cloud Migration Services allows you to navigate the complexities of cloud migration leading to end-end transformation in your organization.

The first inclination as technical-minded people tends to drive us toward understanding just the technical side of how things operate—inputs/outputs, logical boundaries, database schemas, etc. That is a critical aspect to unearth and grasp, and equally as important is understanding the business or operational need that drives the technical implementations.

If your company isn’t ready to go all-in on the cloud, there are ways to start small. You don’t have to place your entire infrastructure and data in one fell swoop into the cloud. Transitional strategies – where you bring some applications and systems into the cloud while keeping others on-premise – give you more time and flexibility as you begin the digital journey. AI Surge allows for that flexibility.

AI Surge Cloud Migration feature focuses on helping organizations refocus their business while taking advantage of cloud technology. Enterprises are adopting cloud technologies for different reasons, including reducing costs, increasing flexibility, or ensuring peak performance. We provide you with the tools to get ahead of the curve for cloud migration.

The flexibility of the cloud comes in many forms. Flexibility is built into the design and architecture of cloud computing, enabling resources to be scaled up or down as required. Flexibility lies in the ability of cloud services to provide near-permanent availability of applications even when components must be taken offline for maintenance. Even the architecture of computing resources can be flexible, with some in-house hardware co-existing with off-site infrastructure that lives in the cloud.

If there is one benefit of cloud computing that everyone can agree on, it’s its flexibility. The elasticity of the cloud allows you to scale up and down based on your current needs; there is no capital outlay for hardware when you are at low capacity, and you can add resources instantly when demand grows.

The cloud can be a more flexible solution as it allows for easy scaling of capacity on demand. If you need to upgrade or downgrade, you can do so quickly and easily. Similarly, it’s possible to expand and reduce your capacity on short notice. What's the effect? Cloud computing can significantly reduce fixed costs for businesses of all sizes and allow them to be more competitive through agility and flexibility.

Migrate apps and services to the cloud faster by moving them into self-service platforms. Self-service cloud platforms allow users to provide resources without requiring IT or other staff assistance. Whether an employee needs a new server to test a new application, troubleshoot an existing issue, or perform some other task, self-service cloud environments allow employees to take care of things themselves if they have the required credentials and permissions.

There is another wave of technology on the rise— artificial intelligence (AI). AI technologies can learn from the data provided by a business and improve outcomes without human intervention. Enterprises are moving to the cloud, and AI Surge offers a secure and easy way to get there.

Many reasons to migrate to the cloud include increased elasticity, scalability, and cost efficiencies. Cloud migration means you can often reduce your capital expenses by avoiding purchasing hardware, and it also allows you the flexibility to scale up capacity when needed.

A majority of businesses today continue to maintain their operating systems in a legacy application style. Legacy applications are designed to support specific business processes for a given organization, and they generally do not prioritize flexibility or updating. Legacy applications reside on laptops, workstations, or mainframe computers and cannot be modified by end-users.

Application modernization is no longer an option in today’s IT landscape. Companies of all sizes are exploring cloud transformation strategies to reduce costs, drive innovation and increase agility. Cloud-first initiatives introduce new technologies such as containers, microservices, and serverless computing. How can we update or migrate to a microservices architecture while maintaining performance and availability?

The lengthy process of provisioning servers is what makes the cloud promises. From an operations standpoint, the most time-consuming tasks include configuring infrastructure servers and applications and securely deploying them. With automation tools and managed services, many systems integrations can be automated to free up your time that would have otherwise been spent manually configuriA majority of businesses today continue to maintain their operating systems in a legacy application style. Legacy applications are designed to support specific business processes for a given organization, and they generally do not prioritize flexibility or updating. Legacy applications reside on laptops, workstations, or mainframe computers and cannot be modified by end-users.

Application modernization is no longer an option in today’s IT landscape. Companies of all sizes are exploring cloud transformation strategies to reduce costs, drive innovation and increase agility. Cloud-first initiatives introduce new technologies such as containers, microservices, and serverless computing. How can we update or migrate to a microservices architecture while maintaining performance and availability?

The lengthy process of provisioning servers is what makes the cloud promises. From an operations standpoint, the most time-consuming tasks include configuring infrastructure servers and applications and securely deploying them. With automation tools and managed services, many systems integrations can be automated to free up your time that would have otherwise been spent manually configuring resources.

Over the past few years, the cloud has been taking over the application world. Companies of all sizes immersed in the cloud and started using the products of multi-billion dollar companies: Amazon Web Services (AWS), Microsoft Azure and Google Cloud, and Alibaba Cloud. But this transformation wasn’t as simple as it sounds. How do you transform complex applications that have existed for decades on-premises into cloud-first services and meet IT’s business demands?

With the advent of cloud computing, we are seeing a huge shift in IT toward agile development methodologies and modern application architectures. This shift requires a fundamental change in how enterprise applications are delivered from a lifecycle perspective, but one area that often gets overlooked is a transformational business priority. Cloud enables us to be leaders and innovators rather than followers and imitators, yet many legacy applications impede this transformation. So how do we achieve new business agility when our existing applications depend on old technologies.

“So what’s so difficult about getting started with the cloud?” you ask. That’s a great question. The answer is that transitioning from traditional infrastructure to the cloud isn’t necessarily hard. It’s just different. To be successful with the cloud, you need to shift your mindset and adopt a more agile approach to IT management.

Cloud computing, or simply cloud, is non-localized computer storage and processing service that allows users to access their applications and data irrespective of their physical location. Cloud computing services are delivered via the Internet or other ‘cloud’ architectures in which the resources are pooled rather than being dedicated to a specific client.

For many of the legacy applications we operate, it is no longer a question of IF we will move to the public cloud, but WHEN and HOW. The hybrid cloud is becoming the new normal, and enterprises are redefining what it means to be “cloud-ready.” Today’s customers demand innovation at speed that far exceeds many other industries. Cloud computing delivers an architecture flexible enough to support exponential growth and innovation via services like Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) while helping to drive down costs and improve overall business agility.

Cloud storage and cloud computing have exploded in popularity. The software-as-a-service model has taken off. Big players like Google, Microsoft, Yahoo, IBM, Alibaba, and Amazon Web Services are more deeply invested in the cloud than ever before. But what’s causing this mad dash to the cloud? Why are companies moving to the cloud in droves? What’s so appealing about it? And if my company doesn’t need to store data on the cloud anyway, why is everyone paying more for this service?

Cloud Service Providers are designed to deliver 99.999999999% durability and 99.99% availability of your data. It’s already a lot more reliable than some of the technologies you use to store your data.

Cloud providers can also take care of many of the more mundane and tedious details of securing your data that you’re undoubtedly accustomed to dealing with on-premise.

AI Surge extends the capabilities of your cloud storage by offering monitoring capabilities provided by data analytics platforms provide an advantage. It may be tempting to run your analytics platform and then use a separate monitoring package if you want notifications when problems occur. This is inefficient and can cause data issues. A built-in status monitoring tool keeps the data more accurate.

Cloud-based workflow and file-sharing apps help teams access, edit, and share documents from anywhere. This shared access increases collaboration, and users know they can access the latest updates. Teams can perform their tasks more efficiently.

Faster deployment times can quickly translate into better performance. Cloud migration capabilities provided by AI Surge will allow you to migrate your data with just a few clicks.

The networks are thickening to accommodate more people, devices, and applications as the link between countless enterprise systems. As this connection grows, so does the complexity of managing it all. It’s becoming increasingly difficult for companies to manage endpoints on their networks — whether they are people, software services, communications, or devices. That’s where unified access management comes in. It works with your network and applications to provide a more straightforward way to connect anything to everything and everyone securely.

Businesses are going to be more cloud-heavy in the future. Today, companies like Slack, Evernote, and Salesforce take over the workspace. Many of these companies are built on AWS and Azure cloud infrastructure. And as these companies grow, they are pushing others to move their workloads into the cloud. That’s where we see a gap in the marketplace. There is a real need for clean, simple cloud migration services that take care of all the details while giving you expert technical support. That is where AI Surge comes in. Its Cloud Migration Services allows you to navigate the complexities of cloud migration leading to end-end transformation in your organization.

The first inclination as technical-minded people tends to drive us toward understanding just the technical side of how things operate—inputs/outputs, logical boundaries, database schemas, etc. That is a critical aspect to unearth and grasp, and equally as important is understanding the business or operational need that drives the technical implementations.

If your company isn’t ready to go all-in on the cloud, there are ways to start small. You don’t have to place your entire infrastructure and data in one fell swoop into the cloud. Transitional strategies – where you bring some applications and systems into the cloud while keeping others on-premise – give you more time and flexibility as you begin the digital journey. AI Surge allows for that flexibility.

AI Surge Cloud Migration feature focuses on helping organizations refocus their business while taking advantage of cloud technology. Enterprises are adopting cloud technologies for different reasons, including reducing costs, increasing flexibility, or ensuring peak performance. We provide you with the tools to get ahead of the curve for cloud migration.

The flexibility of the cloud comes in many forms. Flexibility is built into the design and architecture of cloud computing, enabling resources to be scaled up or down as required. Flexibility lies in the ability of cloud services to provide near-permanent availability of applications even when components must be taken offline for maintenance. Even the architecture of computing resources can be flexible, with some in-house hardware co-existing with off-site infrastructure that lives in the cloud.

If there is one benefit of cloud computing that everyone can agree on, it’s its flexibility. The elasticity of the cloud allows you to scale up and down based on your current needs; there is no capital outlay for hardware when you are at low capacity, and you can add resources instantly when demand grows.

The cloud can be a more flexible solution as it allows for easy scaling of capacity on demand. If you need to upgrade or downgrade, you can do so quickly and easily. Similarly, it’s possible to expand and reduce your capacity on short notice. What's the effect? Cloud computing can significantly reduce fixed costs for businesses of all sizes and allow them to be more competitive through agility and flexibility.

Migrate apps and services to the cloud faster by moving them into self-service platforms. Self-service cloud platforms allow users to provide resources without requiring IT or other staff assistance. Whether an employee needs a new server to test a new application, troubleshoot an existing issue, or perform some other task, self-service cloud environments allow employees to take care of things themselves if they have the required credentials and permissions.

There is another wave of technology on the rise— artificial intelligence (AI). AI technologies can learn from the data provided by a business and improve outcomes without human intervention. Enterprises are moving to the cloud, and AI Surge offers a secure and easy way to get there.

Many reasons to migrate to the cloud include increased elasticity, scalability, and cost efficiencies. Cloud migration means you can often reduce your capital expenses by avoiding purchasing hardware, and it also allows you the flexibility to scale up capacity when needed.ng resources.

Over the past few years, the cloud has been taking over the application world. Companies of all sizes immersed in the cloud and started using the products of multi-billion dollar companies: Amazon Web Services (AWS), Microsoft Azure and Google Cloud, and Alibaba Cloud. But this transformation wasn’t as simple as it sounds. How do you transform complex applications that have existed for decades on-premises into cloud-first services and meet IT’s business demands?

With the advent of cloud computing, we are seeing a huge shift in IT toward agile development methodologies and modern application architectures. This shift requires a fundamental change in how enterprise applications are delivered from a lifecycle perspective, but one area that often gets overlooked is a transformational business priority. Cloud enables us to be leaders and innovators rather than followers and imitators, yet many legacy applications impede this transformation. So how do we achieve new business agility when our existing applications depend on old technologies.

“So what’s so difficult about getting started with the cloud?” you ask. That’s a great question. The answer is that transitioning from traditional infrastructure to the cloud isn’t necessarily hard. It’s just different. To be successful with the cloud, you need to shift your mindset and adopt a more agile approach to IT management.

Cloud computing, or simply cloud, is non-localized computer storage and processing service that allows users to access their applications and data irrespective of their physical location. Cloud computing services are delivered via the Internet or other ‘cloud’ architectures in which the resources are pooled rather than being dedicated to a specific client.

For many of the legacy applications we operate, it is no longer a question of IF we will move to the public cloud, but WHEN and HOW. The hybrid cloud is becoming the new normal, and enterprises are redefining what it means to be “cloud-ready.” Today’s customers demand innovation at speed that far exceeds many other industries. Cloud computing delivers an architecture flexible enough to support exponential growth and innovation via services like Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) while helping to drive down costs and improve overall business agility.

Cloud storage and cloud computing have exploded in popularity. The software-as-a-service model has taken off. Big players like Google, Microsoft, Yahoo, IBM, Alibaba, and Amazon Web Services are more deeply invested in the cloud than ever before. But what’s causing this mad dash to the cloud? Why are companies moving to the cloud in droves? What’s so appealing about it? And if my company doesn’t need to store data on the cloud anyway, why is everyone paying more for this service?

  • Cloud Service Providers are designed to deliver 99.999999999% durability and 99.99% availability of your data. It’s already a lot more reliable than some of the technologies you use to store your data.

  • Cloud providers can also take care of many of the more mundane and tedious details of securing your data that you’re undoubtedly accustomed to dealing with on-premise.

  • AI Surge extends the capabilities of your cloud storage by offering monitoring capabilities provided by data analytics platforms provide an advantage. It may be tempting to run your analytics platform and then use a separate monitoring package if you want notifications when problems occur. This is inefficient and can cause data issues. A built-in status monitoring tool keeps the data more accurate.

  • Cloud-based workflow and file-sharing apps help teams access, edit, and share documents from anywhere. This shared access increases collaboration, and users know they can access the latest updates. Teams can perform their tasks more efficiently.

  • Faster deployment times can quickly translate into better performance. Cloud migration capabilities provided by AI Surge will allow you to migrate your data with just a few clicks.

The networks are thickening to accommodate more people, devices, and applications as the link between countless enterprise systems. As this connection grows, so does the complexity of managing it all. It’s becoming increasingly difficult for companies to manage endpoints on their networks — whether they are people, software services, communications, or devices. That’s where unified access management comes in. It works with your network and applications to provide a more straightforward way to connect anything to everything and everyone securely.

Businesses are going to be more cloud-heavy in the future. Today, companies like Slack, Evernote, and Salesforce take over the workspace. Many of these companies are built on AWS and Azure cloud infrastructure. And as these companies grow, they are pushing others to move their workloads into the cloud. That’s where we see a gap in the marketplace. There is a real need for clean, simple cloud migration services that take care of all the details while giving you expert technical support. That is where AI Surge comes in. Its Cloud Migration Services allows you to navigate the complexities of cloud migration leading to end-end transformation in your organization.

The first inclination as technical-minded people tends to drive us toward understanding just the technical side of how things operate—inputs/outputs, logical boundaries, database schemas, etc. That is a critical aspect to unearth and grasp, and equally as important is understanding the business or operational need that drives the technical implementations.

If your company isn’t ready to go all-in on the cloud, there are ways to start small. You don’t have to place your entire infrastructure and data in one fell swoop into the cloud. Transitional strategies – where you bring some applications and systems into the cloud while keeping others on-premise – give you more time and flexibility as you begin the digital journey. AI Surge allows for that flexibility.

AI Surge Cloud Migration feature focuses on helping organizations refocus their business while taking advantage of cloud technology. Enterprises are adopting cloud technologies for different reasons, including reducing costs, increasing flexibility, or ensuring peak performance. We provide you with the tools to get ahead of the curve for cloud migration.

The flexibility of the cloud comes in many forms. Flexibility is built into the design and architecture of cloud computing, enabling resources to be scaled up or down as required. Flexibility lies in the ability of cloud services to provide near-permanent availability of applications even when components must be taken offline for maintenance. Even the architecture of computing resources can be flexible, with some in-house hardware co-existing with off-site infrastructure that lives in the cloud.

If there is one benefit of cloud computing that everyone can agree on, it’s its flexibility. The elasticity of the cloud allows you to scale up and down based on your current needs; there is no capital outlay for hardware when you are at low capacity, and you can add resources instantly when demand grows.

The cloud can be a more flexible solution as it allows for easy scaling of capacity on demand. If you need to upgrade or downgrade, you can do so quickly and easily. Similarly, it’s possible to expand and reduce your capacity on short notice. What's the effect? Cloud computing can significantly reduce fixed costs for businesses of all sizes and allow them to be more competitive through agility and flexibility.

Migrate apps and services to the cloud faster by moving them into self-service platforms. Self-service cloud platforms allow users to provide resources without requiring IT or other staff assistance. Whether an employee needs a new server to test a new application, troubleshoot an existing issue, or perform some other task, self-service cloud environments allow employees to take care of things themselves if they have the required credentials and permissions.

There is another wave of technology on the rise— artificial intelligence (AI). AI technologies can learn from the data provided by a business and improve outcomes without human intervention. Enterprises are moving to the cloud, and AI Surge offers a secure and easy way to get there.

Many reasons to migrate to the cloud include increased elasticity, scalability, and cost efficiencies. Cloud migration means you can often reduce your capital expenses by avoiding purchasing hardware, and it also allows you the flexibility to scale up capacity when needed.

A majority of businesses today continue to maintain their operating systems in a legacy application style. Legacy applications are designed to support specific business processes for a given organization, and they generally do not prioritize flexibility or updating. Legacy applications reside on laptops, workstations, or mainframe computers and cannot be modified by end-users.

Application modernization is no longer an option in today’s IT landscape. Companies of all sizes are exploring cloud transformation strategies to reduce costs, drive innovation and increase agility. Cloud-first initiatives introduce new technologies such as containers, microservices, and serverless computing. How can we update or migrate to a microservices architecture while maintaining performance and availability?

The lengthy process of provisioning servers is what makes the cloud promises. From an operations standpoint, the most time-consuming tasks include configuring infrastructure servers and applications and securely deploying them. With automation tools and managed services, many systems integrations can be automated to free up your time that would have otherwise been spent manually configuriA majority of businesses today continue to maintain their operating systems in a legacy application style. Legacy applications are designed to support specific business processes for a given organization, and they generally do not prioritize flexibility or updating. Legacy applications reside on laptops, workstations, or mainframe computers and cannot be modified by end-users.

Application modernization is no longer an option in today’s IT landscape. Companies of all sizes are exploring cloud transformation strategies to reduce costs, drive innovation and increase agility. Cloud-first initiatives introduce new technologies such as containers, microservices, and serverless computing. How can we update or migrate to a microservices architecture while maintaining performance and availability?

The lengthy process of provisioning servers is what makes the cloud promises. From an operations standpoint, the most time-consuming tasks include configuring infrastructure servers and applications and securely deploying them. With automation tools and managed services, many systems integrations can be automated to free up your time that would have otherwise been spent manually configuring resources.

Over the past few years, the cloud has been taking over the application world. Companies of all sizes immersed in the cloud and started using the products of multi-billion dollar companies: Amazon Web Services (AWS), Microsoft Azure and Google Cloud, and Alibaba Cloud. But this transformation wasn’t as simple as it sounds. How do you transform complex applications that have existed for decades on-premises into cloud-first services and meet IT’s business demands?

With the advent of cloud computing, we are seeing a huge shift in IT toward agile development methodologies and modern application architectures. This shift requires a fundamental change in how enterprise applications are delivered from a lifecycle perspective, but one area that often gets overlooked is a transformational business priority. Cloud enables us to be leaders and innovators rather than followers and imitators, yet many legacy applications impede this transformation. So how do we achieve new business agility when our existing applications depend on old technologies.

“So what’s so difficult about getting started with the cloud?” you ask. That’s a great question. The answer is that transitioning from traditional infrastructure to the cloud isn’t necessarily hard. It’s just different. To be successful with the cloud, you need to shift your mindset and adopt a more agile approach to IT management.

Cloud computing, or simply cloud, is non-localized computer storage and processing service that allows users to access their applications and data irrespective of their physical location. Cloud computing services are delivered via the Internet or other ‘cloud’ architectures in which the resources are pooled rather than being dedicated to a specific client.

For many of the legacy applications we operate, it is no longer a question of IF we will move to the public cloud, but WHEN and HOW. The hybrid cloud is becoming the new normal, and enterprises are redefining what it means to be “cloud-ready.” Today’s customers demand innovation at speed that far exceeds many other industries. Cloud computing delivers an architecture flexible enough to support exponential growth and innovation via services like Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) while helping to drive down costs and improve overall business agility.

Cloud storage and cloud computing have exploded in popularity. The software-as-a-service model has taken off. Big players like Google, Microsoft, Yahoo, IBM, Alibaba, and Amazon Web Services are more deeply invested in the cloud than ever before. But what’s causing this mad dash to the cloud? Why are companies moving to the cloud in droves? What’s so appealing about it? And if my company doesn’t need to store data on the cloud anyway, why is everyone paying more for this service?

Cloud Service Providers are designed to deliver 99.999999999% durability and 99.99% availability of your data. It’s already a lot more reliable than some of the technologies you use to store your data.

Cloud providers can also take care of many of the more mundane and tedious details of securing your data that you’re undoubtedly accustomed to dealing with on-premise.

AI Surge extends the capabilities of your cloud storage by offering monitoring capabilities provided by data analytics platforms provide an advantage. It may be tempting to run your analytics platform and then use a separate monitoring package if you want notifications when problems occur. This is inefficient and can cause data issues. A built-in status monitoring tool keeps the data more accurate.

Cloud-based workflow and file-sharing apps help teams access, edit, and share documents from anywhere. This shared access increases collaboration, and users know they can access the latest updates. Teams can perform their tasks more efficiently.

Faster deployment times can quickly translate into better performance. Cloud migration capabilities provided by AI Surge will allow you to migrate your data with just a few clicks.

The networks are thickening to accommodate more people, devices, and applications as the link between countless enterprise systems. As this connection grows, so does the complexity of managing it all. It’s becoming increasingly difficult for companies to manage endpoints on their networks — whether they are people, software services, communications, or devices. That’s where unified access management comes in. It works with your network and applications to provide a more straightforward way to connect anything to everything and everyone securely.

Businesses are going to be more cloud-heavy in the future. Today, companies like Slack, Evernote, and Salesforce take over the workspace. Many of these companies are built on AWS and Azure cloud infrastructure. And as these companies grow, they are pushing others to move their workloads into the cloud. That’s where we see a gap in the marketplace. There is a real need for clean, simple cloud migration services that take care of all the details while giving you expert technical support. That is where AI Surge comes in. Its Cloud Migration Services allows you to navigate the complexities of cloud migration leading to end-end transformation in your organization.

The first inclination as technical-minded people tends to drive us toward understanding just the technical side of how things operate—inputs/outputs, logical boundaries, database schemas, etc. That is a critical aspect to unearth and grasp, and equally as important is understanding the business or operational need that drives the technical implementations.

If your company isn’t ready to go all-in on the cloud, there are ways to start small. You don’t have to place your entire infrastructure and data in one fell swoop into the cloud. Transitional strategies – where you bring some applications and systems into the cloud while keeping others on-premise – give you more time and flexibility as you begin the digital journey. AI Surge allows for that flexibility.

AI Surge Cloud Migration feature focuses on helping organizations refocus their business while taking advantage of cloud technology. Enterprises are adopting cloud technologies for different reasons, including reducing costs, increasing flexibility, or ensuring peak performance. We provide you with the tools to get ahead of the curve for cloud migration.

The flexibility of the cloud comes in many forms. Flexibility is built into the design and architecture of cloud computing, enabling resources to be scaled up or down as required. Flexibility lies in the ability of cloud services to provide near-permanent availability of applications even when components must be taken offline for maintenance. Even the architecture of computing resources can be flexible, with some in-house hardware co-existing with off-site infrastructure that lives in the cloud.

If there is one benefit of cloud computing that everyone can agree on, it’s its flexibility. The elasticity of the cloud allows you to scale up and down based on your current needs; there is no capital outlay for hardware when you are at low capacity, and you can add resources instantly when demand grows.

The cloud can be a more flexible solution as it allows for easy scaling of capacity on demand. If you need to upgrade or downgrade, you can do so quickly and easily. Similarly, it’s possible to expand and reduce your capacity on short notice. What's the effect? Cloud computing can significantly reduce fixed costs for businesses of all sizes and allow them to be more competitive through agility and flexibility.

Migrate apps and services to the cloud faster by moving them into self-service platforms. Self-service cloud platforms allow users to provide resources without requiring IT or other staff assistance. Whether an employee needs a new server to test a new application, troubleshoot an existing issue, or perform some other task, self-service cloud environments allow employees to take care of things themselves if they have the required credentials and permissions.

There is another wave of technology on the rise— artificial intelligence (AI). AI technologies can learn from the data provided by a business and improve outcomes without human intervention. Enterprises are moving to the cloud, and AI Surge offers a secure and easy way to get there.

Many reasons to migrate to the cloud include increased elasticity, scalability, and cost efficiencies. Cloud migration means you can often reduce your capital expenses by avoiding purchasing hardware, and it also allows you the flexibility to scale up capacity when needed.ng resources.

Over the past few years, the cloud has been taking over the application world. Companies of all sizes immersed in the cloud and started using the products of multi-billion dollar companies: Amazon Web Services (AWS), Microsoft Azure and Google Cloud, and Alibaba Cloud. But this transformation wasn’t as simple as it sounds. How do you transform complex applications that have existed for decades on-premises into cloud-first services and meet IT’s business demands?

With the advent of cloud computing, we are seeing a huge shift in IT toward agile development methodologies and modern application architectures. This shift requires a fundamental change in how enterprise applications are delivered from a lifecycle perspective, but one area that often gets overlooked is a transformational business priority. Cloud enables us to be leaders and innovators rather than followers and imitators, yet many legacy applications impede this transformation. So how do we achieve new business agility when our existing applications depend on old technologies.

“So what’s so difficult about getting started with the cloud?” you ask. That’s a great question. The answer is that transitioning from traditional infrastructure to the cloud isn’t necessarily hard. It’s just different. To be successful with the cloud, you need to shift your mindset and adopt a more agile approach to IT management.

Cloud computing, or simply cloud, is non-localized computer storage and processing service that allows users to access their applications and data irrespective of their physical location. Cloud computing services are delivered via the Internet or other ‘cloud’ architectures in which the resources are pooled rather than being dedicated to a specific client.

For many of the legacy applications we operate, it is no longer a question of IF we will move to the public cloud, but WHEN and HOW. The hybrid cloud is becoming the new normal, and enterprises are redefining what it means to be “cloud-ready.” Today’s customers demand innovation at speed that far exceeds many other industries. Cloud computing delivers an architecture flexible enough to support exponential growth and innovation via services like Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) while helping to drive down costs and improve overall business agility.

Cloud storage and cloud computing have exploded in popularity. The software-as-a-service model has taken off. Big players like Google, Microsoft, Yahoo, IBM, Alibaba, and Amazon Web Services are more deeply invested in the cloud than ever before. But what’s causing this mad dash to the cloud? Why are companies moving to the cloud in droves? What’s so appealing about it? And if my company doesn’t need to store data on the cloud anyway, why is everyone paying more for this service?

  • Cloud Service Providers are designed to deliver 99.999999999% durability and 99.99% availability of your data. It’s already a lot more reliable than some of the technologies you use to store your data.

  • Cloud providers can also take care of many of the more mundane and tedious details of securing your data that you’re undoubtedly accustomed to dealing with on-premise.

  • AI Surge extends the capabilities of your cloud storage by offering monitoring capabilities provided by data analytics platforms provide an advantage. It may be tempting to run your analytics platform and then use a separate monitoring package if you want notifications when problems occur. This is inefficient and can cause data issues. A built-in status monitoring tool keeps the data more accurate.

  • Cloud-based workflow and file-sharing apps help teams access, edit, and share documents from anywhere. This shared access increases collaboration, and users know they can access the latest updates. Teams can perform their tasks more efficiently.

  • Faster deployment times can quickly translate into better performance. Cloud migration capabilities provided by AI Surge will allow you to migrate your data with just a few clicks.

The networks are thickening to accommodate more people, devices, and applications as the link between countless enterprise systems. As this connection grows, so does the complexity of managing it all. It’s becoming increasingly difficult for companies to manage endpoints on their networks — whether they are people, software services, communications, or devices. That’s where unified access management comes in. It works with your network and applications to provide a more straightforward way to connect anything to everything and everyone securely.

Businesses are going to be more cloud-heavy in the future. Today, companies like Slack, Evernote, and Salesforce take over the workspace. Many of these companies are built on AWS and Azure cloud infrastructure. And as these companies grow, they are pushing others to move their workloads into the cloud. That’s where we see a gap in the marketplace. There is a real need for clean, simple cloud migration services that take care of all the details while giving you expert technical support. That is where AI Surge comes in. Its Cloud Migration Services allows you to navigate the complexities of cloud migration leading to end-end transformation in your organization.

The first inclination as technical-minded people tends to drive us toward understanding just the technical side of how things operate—inputs/outputs, logical boundaries, database schemas, etc. That is a critical aspect to unearth and grasp, and equally as important is understanding the business or operational need that drives the technical implementations.

If your company isn’t ready to go all-in on the cloud, there are ways to start small. You don’t have to place your entire infrastructure and data in one fell swoop into the cloud. Transitional strategies – where you bring some applications and systems into the cloud while keeping others on-premise – give you more time and flexibility as you begin the digital journey. AI Surge allows for that flexibility.

AI Surge Cloud Migration feature focuses on helping organizations refocus their business while taking advantage of cloud technology. Enterprises are adopting cloud technologies for different reasons, including reducing costs, increasing flexibility, or ensuring peak performance. We provide you with the tools to get ahead of the curve for cloud migration.

The flexibility of the cloud comes in many forms. Flexibility is built into the design and architecture of cloud computing, enabling resources to be scaled up or down as required. Flexibility lies in the ability of cloud services to provide near-permanent availability of applications even when components must be taken offline for maintenance. Even the architecture of computing resources can be flexible, with some in-house hardware co-existing with off-site infrastructure that lives in the cloud.

If there is one benefit of cloud computing that everyone can agree on, it’s its flexibility. The elasticity of the cloud allows you to scale up and down based on your current needs; there is no capital outlay for hardware when you are at low capacity, and you can add resources instantly when demand grows.

The cloud can be a more flexible solution as it allows for easy scaling of capacity on demand. If you need to upgrade or downgrade, you can do so quickly and easily. Similarly, it’s possible to expand and reduce your capacity on short notice. What's the effect? Cloud computing can significantly reduce fixed costs for businesses of all sizes and allow them to be more competitive through agility and flexibility.

Migrate apps and services to the cloud faster by moving them into self-service platforms. Self-service cloud platforms allow users to provide resources without requiring IT or other staff assistance. Whether an employee needs a new server to test a new application, troubleshoot an existing issue, or perform some other task, self-service cloud environments allow employees to take care of things themselves if they have the required credentials and permissions.

There is another wave of technology on the rise— artificial intelligence (AI). AI technologies can learn from the data provided by a business and improve outcomes without human intervention. Enterprises are moving to the cloud, and AI Surge offers a secure and easy way to get there.

Many reasons to migrate to the cloud include increased elasticity, scalability, and cost efficiencies. Cloud migration means you can often reduce your capital expenses by avoiding purchasing hardware, and it also allows you the flexibility to scale up capacity when needed.