Category Archives: Cloud Computing
Size of the Prize: Assessing the Market for Edge Computing in Space – Via Satellite
Via Satellite illustration.
This is the second of a two-part series analyzing the value of edge computing in space by the Boston Consulting Group. Read Part One:Size of the Prize: How Will Edge Computing in Space Drive Value Creation?
What key drivers are necessary to ensure that edge computing in space is widely adopted to the degree that it reaches an inflection point of affordability? We at the Boston Consulting Group believe that cybersecurity, cost, and ESG will drive the market for edge computing in space.
Cybersecurity is an area in which edge computing offers distinct advantages. Cloud computing is vulnerable to the ever-increasing risk of cybersecurity breaches, which can lead to major data theft or loss. Organizations across industries that collect personally identifiable information on a public cloud expose themselves to liability and/or compliance concerns, while sensitive intellectual property and proprietary industry data can become vulnerable to cybersecurity attacks at various nodes of transmission particularly given growing dependency on cloud computing.
The main challenge presented by the current cloud computing landscape is that corporate services and data are entrusted to third parties and are exposed to a higher level of risk, both in terms of security and privacy. The top three threats to cloud systems are unsafe API interfaces, data loss or theft, and hardware failure. The widespread use of virtualization in the implementation of cloud infrastructure also creates security problems because it alters the relationship between operating systems and underlying hardware, introducing an additional level that must be managed and protected.
In contrast, edge computing introduces multiple advantages for cybersecurity since data is processed locally. This eliminates risks stemming from data transfers, which are typically encrypted and inevitable when using typical terrestrial cloud solutions. With edge computing, complex calculations occur at the IoT device/perimeter server level and the only transfer is that of the final result to the user. The risk of data loss is driven more by damage to local servers, rather than cybersecurity vulnerabilities.
[Hear more: Sita Sonty talks with N2K Space about edge computing in the T-Minus Space Daily podcast]
Cost also presents an area of advantage to edge computing. Organizations could achieve operational cost savings by using edge computing due to the minimal need to move data to the cloud. Since data is processed at the same location where it is generated (in this case, on the satellites themselves, collecting imagery through hyperspectral or SAR capability or remote sensing data), processing these batches of data on the same satellite would also yield a significant reduction in the bandwidth needed to handle the data load.
Hosting applications and data on centralized hosting platforms or centers creates latency when users try to use them over the internet. Large physical distances coupled with network congestion or outages can delay data movement across the network. This then delays any analytics and decision-making processes.
Edge computing in space, in this context, could enable data to be accessed and processed with little or no obstacles, even when there is poor internet connectivity. Importantly, if there is failure with one edge device, it will not destroy the operation of the other edge devices in the ecosystem, facilitating a reliable, connected system.
Finally, there are potential gains to be achieved in terms of ESG metrics by adopting in-space edge computing capability. With the cloud business model dominating, there are emerging concerns about the environmental effects of centralized processing. Processing centers require enormous resources to function; they contribute to carbon emissions, accounting for0.6% of all greenhouse gas emissions, and produce electronic waste, adding to the burden humans put on the environment in pursuit of advancement.
Edge computing has become a potential alternative to moving data centers to greener practices. The edge helps reduce the networking traffic coming in and out of centralized servers, reducing bandwidth and energy drains. This frees up bandwidth at the data center itself and bandwidth for the organization, overall, in terms of any centralized servers on-premises. Moving edge computing to space would achieve even further reductions in energy consumption required at the terrestrial data center level, while the needs for temperature control and cooling would be eliminated by the freezing temperatures in LEO.
In order to estimate an overall market for edge computing in space and explain why in-space edge computing capability and associated user interface applications need to be built, we triangulated three approaches to the market: Supply, Demand, and Cost.
Today, roughly 20% of data processing and analysis occurs locally, with 80% happening in centralized data centers and computing facilities.
We developed ahigh, low, and base casefor estimating the share of industry addressable by space solutions, and as a core assumption of the model, we used reliance on cybersecurity to gauge what share of industry would be addressable by space. With this model, we expectan estimated $250 million market by 2030with defense and satcom as leading industries for application. However, it is important to note that the estimated $250 million market is addressed by only one segment of the total scope available as one looks at the Edge Computing in Space Capability Stack (Figure 2).
Figure 2: The capability stack for edge computing in space demonstrates the breadth of functions which could be enabled and supported for different end users. Source: BCG analysis.
Further upside would emerge as addressable market opportunity for connectivity service providers (satcom/telecom), applications developers (who would be responsible for developing the apps for the specific government customer to interpret processed information, for example); terminals/user interface manufacturers; and the residual flow down to data centers for cloud computing purposes. Other segments of Edge Computing in Space Capability Stack would see further value unlocked as Edge in Space comes online, delivers key capabilities to the highest need customer groups (e.g., those in defense), and brings the cost curve down for commercial use cases and applications to emerge.
By estimating demand for cloud computing across target industries, supply for satellite revenue in the aggregate space market, and comparing the cost of terrestrial and space data storage centers, we believe that there is more demand for cloud computing in space than the supply of satcom providers.
Our model indicates that the cost to host data in space will closely approach terrestrial data costs past 2030, while on supply and demand, we anticipate more demand for cloud computing space than supply of satcom providers.
In light of these differentiating factors and our model research, demand for edge computing is established and expected to grow (Figure 3). We project all of Satellite IoT spending, $1.5 billion by 2030, to be addressable given the importance of cybersecurity. We estimate the relevant edge computing market (excluding hardware and non-core service software) to be $0.3 billion by 2030, of which 75% would be in-scope. Finally, we estimate up to 2% of the total $1.2 billion cloud compute market by 2030 to be in-scope due to the selective applicability of cybersecurity and latency needs for real-time analysis.
Figure 3: Demand Model Methodology and Driver Tree
However, research indicates that supply is currently lagging behind expected need due to insufficient public and private investment, with key implications for government and private investors.
The key drivers to understanding which companies will unlock the potential of edge computing in space include prioritizing cybersecurity, lowering cost burden, and adopting ESG practices. With increasing digitalization, the space economy will further benefit from integrating edge computing into space-based business models. However, companies and governments must help develop the needed supply that our current space investment demands.
While cloud computing will remain an integral part of the overall market for the foreseeable future, the advantages offered by edge computing in space are clear enough that actors in the most promising markets of defense and agriculture should be considering the questions posed earlier. For government, how can they leverage this technology to enhance the security of critical assets and information? How should government invest in developing the market for space-based edge computing, and how can they effectively support its growth? What role will incentives play will they be tied to ESG targets?
For industry, there are questions around how to sell to target customers in key markets such as government and agriculture. Are the start-up and non-recurring engineering costs prohibitive and what investments and partnerships will be required? What scenarios exist for the development of requisite ground infrastructure?
Go to market success will require integrating the edge computing in space-as-a-service capability into a suite of other services that could already be on offer. In addition, as commercial space stations look to develop edge computing in space offerings, successful methods will integrate this capability among others in orbit, such as where and how remote sensors collect the data, where and how the data analytics are performed, and potentially offering various data streams to the same group(s) of customers utilizing the same sensors to optimize quality and quantity of output.
The space industry is no stranger to partnering closely with suppliers and customers, including governments, to develop and deliver new technology and advance the art of the possible. By making the right investments, governments, investors, and users in edge computing can turn democratizing space from an expression into a reality.
This paper is the second two-part series analyzing the value of edge computing in space by the Boston Consulting Group. Read Part One:Size of the Prize: How Will Edge Computing in Space Drive Value Creation?
S. Sita Sonty leads Boston Consulting Groups Commercial Space team. John Wenstrup is a senior leader in BCGs Technology, Media & Telecommunications practice. Cameron Scott is Global Sector Lead for Defense and Security. AndDr. Hillary Child is a Project Leader from BCGs Chicago office.
Additional research by Avril Prakash, Sarvani Yellayi, Ansh Prasad, and John Kim
Originally posted here:
Size of the Prize: Assessing the Market for Edge Computing in Space - Via Satellite
Edge Computing Impact: What Does It Do? – Dataconomy
The advent of edge computing is poised to have a significant influence on various industries, exerting its effect on both current and forthcoming verticals. Although certain sectors have already experienced the initial waves of this impact, others are anticipated to adopt it at a relatively slower pace. Consequently, telecommunications companies must exercise caution and prudence in their vertical selection process, ensuring that they choose the most appropriate target area in light of the edge computing impact.
Edge computing refers to a distributed computing paradigm that brings data processing and computation closer to the edge of the network, in close proximity to the data source or end-users. Unlike traditional centralized computing models, where data is sent to a remote data center or the cloud for processing, edge computing enables data processing and analysis to occur at or near the point of data generation.
In edge computing, small-scale data centers, known as edge nodes or edge devices, are deployed at the network edge. These nodes can include routers, gateways, servers, or IoT devices. By processing data locally at the edge, edge computing reduces latency, improves real-time responsiveness, and enhances overall system performance.
The key idea behind edge computing is to bring computation closer to the data source, which offers several advantages. It enables faster data analysis and decision-making, reduces reliance on the cloud for processing and storage, and minimizes the amount of data that needs to be transmitted over the network. This approach is particularly beneficial in scenarios where real-time processing, low latency, bandwidth efficiency, and data privacy are critical requirements, such as IoT applications, autonomous vehicles, industrial automation, and smart cities.
Edge computing has the potential to revolutionize various industries by enabling new use cases and applications that require low-latency data processing, real-time analytics, and localized decision-making. It complements cloud computing by providing a decentralized and distributed computing infrastructure that brings computational power and intelligence closer to where it is needed, unlocking the full potential of emerging technologies and enabling innovative solutions.
The main characteristics of edge computing encompass:
There exist four distinct categories of Edge Computing, each serving different purposes within the overall framework.
By categorizing edge computing into these four types, we can better understand the diverse implementations and their respective roles within the broader landscape.
PlanetScale introduces serverless driver for JavaScript: Databases are moving to the edge
Fog computing serves as an extension of cloud networks, which consist of interconnected servers forming a distributed network infrastructure. These networks empower organizations to surpass the resource limitations they would otherwise encounter. A primary advantage of cloud networks lies in their ability to gather data from diverse sources, making it accessible from anywhere via the internet. While fog computing shares similarities with cloud networks, both involving intelligent data processing at the time of creation, a crucial distinction exists between the two in terms of intelligence and computing power.
Fog computing places greater emphasis on intelligence within the local area network (LAN) environment. In this architecture, data originating from endpoints is transmitted to a gateway, which subsequently routes it to appropriate sources for processing. The processed data is then returned to the transmission path. Conversely, cloud networks prioritize computing power and data processing at the edge of the network. This entails performing computational tasks on embedded computing platforms that interface with sensors and controllers.
By deploying fog computing, organizations can leverage local intelligence within their LAN, facilitating efficient and localized processing of data. This approach is particularly beneficial in scenarios where real-time responsiveness, low latency, and optimized resource utilization are critical factors. On the other hand, cloud networks excel in providing substantial computing power and enabling data processing on a broader scale, with a focus on centralized cloud-based infrastructure.
Key takeaways:
The emergence of edge computing is poised to have a substantial and far-reaching influence on various industries. While certain verticals have already experienced the initial effects of this transformative technology, others are expected to be slower in adopting edge computing solutions. Understanding this disparity in adoption readiness is crucial for operators seeking to capitalize on the edge computing opportunity and expand revenue streams beyond core connectivity offerings.
The advancements in edge computing, characterized by reduced latency, improved reliability, enhanced security, and increased mobility, unlock a plethora of new use cases across various industries. One prominent example lies in the realm of security solutions, where the deployment of edge computing infrastructure enables video ingest and analytics at the network edge, leading to significant impacts.
As the prevalence of video surveillance continues to rise, there is a corresponding surge in data volumes generated by the growing number of cameras and the improved quality of video recordings. Edge computing effectively addresses the challenge posed by the escalating data volumes by decentralizing traffic and analysis, enabling on-site processing in real-time for monitoring purposes or triggering alarms.
The latency requirements for real-time processing make it impractical to rely solely on cloud-based solutions. By leveraging edge computing, the necessary functionalities can be performed locally at the network edge, ensuring minimal latency and immediate response. Additionally, conducting these operations at the edge enhances data security, as sensitive information is processed and stored closer to its source, reducing the risk associated with transmitting data to a centralized cloud infrastructure.
Thus, edge computing plays a vital role in meeting the demands of processing and analyzing video data, offering improved security, lower latency, and real-time insights for effective monitoring and alarm triggering in the face of growing data volumes and evolving surveillance requirements.
Telcos can assess potential target verticals for edge computing solutions based on various metrics to determine the most attractive opportunities. Here are several key metrics that telcos could consider.
Indeed, the contribution of an industry to the GDP of a country (or countries) where a telco operates can serve as a useful indicator of its ability and willingness to invest in digital solutions. When telcos consider offering edge computing solutions, the financial aspect plays a crucial role, as significant investments are required. Evaluating the target verticals spending capacity becomes essential for telcos aiming to maximize return on investment (ROI).
Industries that make a substantial contribution to a countrys GDP often possess greater financial resources and a stronger appetite for digital transformation. These industries are more likely to prioritize and allocate budget towards innovative solutions such as edge computing. By targeting verticals with a higher GDP contribution, telcos increase their chances of engaging with industries that are financially capable and inclined to invest in digital advancements.
Using GDP as a proxy for spending capacity provides a useful framework for telcos to assess the potential ROI of their edge computing offerings. It helps identify verticals where the likelihood of securing investment and achieving revenue growth is higher, aligning with the telcos strategic objectives and financial sustainability.
IIoT and edge computing are gaining traction in many industries
Telcos venturing into offering verticalized edge solutions must possess a solid comprehension of the pain points faced by enterprise customers in the present context. Additionally, establishing strong anchor customers with whom they can collaborate to test and develop new solutions becomes crucial. Leveraging existing industry expertise and relationships serves as a valuable starting point for telcos in this endeavor.
For instance, TELUS, with its strong vertical focus on healthcare through TELUS Health, can leverage its industry knowledge and relationships to explore an edge-enabled approach within the healthcare sector. By understanding the specific challenges faced by healthcare organizations, TELUS can tailor edge computing solutions to address their pain points and provide enhanced services and experiences.
Similarly, Verizon, known for its strong vertical presence in the transportation industry through Verizon Connect, can leverage its expertise to pursue edge-enabled opportunities within the transport sector. Building upon their existing industry relationships and understanding the unique requirements of the transportation industry, Verizon can develop and deploy edge computing solutions that cater to the specific needs of transportation companies.
Industries that have reached a higher level of digital maturity are more likely to adopt edge computing-enabled solutions earlier. This is because certain prerequisites, such as having operational data stored in a database rather than manually recorded, are necessary for edge solutions to deliver value. Several indicators can be used to measure digital maturity, including digital spending, the level of digitization in business processes, and the extent of work digitization.
By focusing on industries that are already digitally mature, telcos can strategically target their efforts towards sectors that are better prepared for the adoption of edge computing. Leveraging the existing digital infrastructure and capabilities of these industries, telcos can position themselves as partners in their digital transformation journey, offering tailored edge computing solutions to further enhance operational efficiency, data analytics, and real-time decision-making.
10 edge computing innovators to keep an eye on in 2023
When telcos aim to offer verticalized edge solutions, it is crucial for them to assess enterprise verticals based on various factors in order to determine the optimal target. By evaluating these factors, telcos can make informed decisions and identify the right verticals to focus their efforts on. Here are some key factors to consider:
Key takeaways:
Embracing the boundless possibilities of edge computing, telcos embark on a remarkable journey to weave a tapestry of technological marvels across industries. With an astute understanding of enterprise pain points and a collaborative spirit, telcos forge strong alliances with anchor customers, together venturing into uncharted territories of innovation. Guided by their industry expertise, telcos sculpt tailored edge solutions that seamlessly address challenges, empower businesses, and create transformative experiences.
Like a virtuoso conductor, telcos orchestrate the symphony of edge computing impact, harmonizing connectivity, speed, and intelligence. Through this technological symposium, industries witness a metamorphosis, transcending limitations and unleashing unprecedented possibilities. With each interaction, edge computings influence radiates, amplifying the pulse of real-time analytics, unlocking the gates to low latency, and defying the constraints of conventional computing.
Continued here:
Edge Computing Impact: What Does It Do? - Dataconomy
Cloud Data Warehousing: Unleashing the Power of Azure and AWS – Experts Exchange
Introduction:In the era of big data, cloud data warehousing has emerged as a powerful solution for organizations seeking to unlock the potential of their data. Azure by Microsoft and AWS (Amazon Web Services) are two prominent cloud computing platforms that offer robust data warehousing services.
Azure Synapse Analytics: Unifying Data Warehousing and Big Data Analytics:Azure Synapse Analytics is Microsoft's integrated analytics service that combines data warehousing and big data analytics into a single platform. It offers a unified experience for ingesting, preparing, managing, and serving data for immediate insights. With Synapse Analytics, organizations can seamlessly integrate structured and unstructured data, enabling advanced analytics and machine learning capabilities. It provides a scalable and flexible architecture that adapts to varying workloads, making it a powerful choice for cloud data warehousing.
AWS Redshift: Powerful and Scalable Data Warehousing:AWS Redshift is Amazon's fully managed data warehousing service. It is designed to handle large datasets and complex analytics workloads. Redshift provides high-performance querying capabilities, allowing organizations to analyze vast amounts of data with ease. It offers multiple deployment options, including single-node and multi-node clusters, providing flexibility to scale resources based on workload demands. AWS Redshift integrates seamlessly with other AWS services, creating a comprehensive ecosystem for data analytics and machine learning.
Integration with Ecosystem Services:Both Azure and AWS provide a wide range of ecosystem services that enhance the capabilities of their data warehousing solutions. Azure integrates seamlessly with services like Azure Data Factory for data ingestion, Azure Databricks for advanced analytics, and Azure Machine Learning for building and deploying machine learning models. AWS offers services like AWS Glue for data integration, AWS Athena for interactive querying, and AWS SageMaker for machine learning. These ecosystem services enable organizations to leverage the full potential of their data and build end-to-end data analytics solutions.Security and Compliance:Data security and compliance are critical considerations in cloud data warehousing. Both Azure and AWS prioritize security and offer robust measures to protect data. Azure provides features such as Azure Active Directory integration for access control, data encryption at rest and in transit, and compliance certifications like GDPR and ISO 27001. AWS offers features like AWS Identity and Access Management (IAM), encryption options, and compliance certifications such as HIPAA and PCI DSS. It is essential for organizations to evaluate their specific security and compliance requirements and choose a platform accordingly.
Pricing and Cost Optimization:Cost is a significant factor when considering cloud data warehousing solutions. Both Azure and AWS offer flexible pricing models. Azure provides a pay-as-you-go model with options to pause and resume resources, enabling cost optimization. AWS offers on-demand and reserved instance pricing options for Redshift, allowing organizations to choose the most cost-effective option based on their workload patterns. It is advisable to assess the specific needs of your organization and compare the pricing models offered by Azure and AWS to determine the best fit.
Conclusion:Cloud data warehousing has revolutionized the way organizations leverage data for insights and decision-making. Azure and AWS are leading cloud platforms that offer powerful data warehousing services with distinct features and strengths. Azure Synapse Analytics provides a unified platform that seamlessly integrates data warehousing and big data analytics. AWS Redshift offers scalable and high-performance data warehousing capabilities. Both platforms provide a wide range of ecosystem services, prioritize security and compliance, and offer flexible pricing models.
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Cloud Data Warehousing: Unleashing the Power of Azure and AWS - Experts Exchange
Edge computing: 4 things to keep on your radar as your business cuts the edge – Times of India
Edge computing has now become a computing paradigm that has the capability to process data closer to where it is generated, allowing for processing at large volumes and faster speeds, thereby leading to action-led results in real time. Edge computing is seeing rapid investment across most industries ranging from manufacturing and energy to retail, healthcare, telecommunications and media and the use cases are expanding, with the growth of self-driving cars, smart equipment, automated retail and autonomous robots.
The total installed base of Internet of Things (IoT) connected devices worldwide is projected to amount to 30.9 billion units by 2025. But enterprises still have a few things to watch out for to ensure that they can get the most out of their edge computing implementation, this ranges from managing highly distributed environments, approaching security cautiously in the edge infrastructure, in an ecosystem that is still in its infancy.
It just isnt a case of adding on a few devices onto an existing platform and expecting the whole setup to function in-tandem, let us not forget that when cloud computing is involved, a mixture of physical and virtual environments can be a tough puzzle to crack.So what can businesses do to demystify edge computing so as to leverage the technology to the maximum? Here are four top tips:Cyber security and physical security of the device: Currently, security is the most crucial factor in edge computing architecture and its implementations.
Partly due to the security of the physical hardware, and the critical data that the sensors near the devices collect. In this regard, there are trusted open-source software that can help organizations implement a layered security approach across infrastructures, the life cycle and the application stack, in order to ensure better security at edge sites or in cloud environments.
There are three prominent entities at the edge where security has to be of paramount importance i.e. securing OS platforms at the edge, networks at the edge and data at the edge. This can ensure that security is taken care of to a large extent.
Tackling interoperability, how will two edge computing systems interact and share information: One of the steadfast rules of edge computing is that the edge computing stack must support multiple elements that should function in-tandem. Edge deployments usually vary greatly in terms of devices, deployment environment and connectivity, hence it is not advisable to use a single vendor on all edge platforms.
The computing stack must therefore be interoperable, i.e. capable of supporting multiple elements that work together with a myriad of platforms and infrastructures, including virtual machines, bare metal servers and containers. In short, organizations will need to look for an edge computing provider who can handle the implementation of sensors, network plugins, and gateways to handle remote operations.
Planning network architecture to the T: It is of utmost importance to build a network architecture that takes into consideration fulfilling the requirements of all users and applications.
The goal is to brainstorm with the team and decipher which components can be run on the edge and which need to be pushed to the cloud.
Edge solutions are usually multi-layered distributed architectures that balance the workload between the cloud, network the enterprise layer and the cloud layer. It is recommended to seek guidance from consultants who have experience with handling multiple vendors and have knowledge of cloud services to improve on models of network architecture.
Finding and building skilled staff and management: It can be challenging for companies to find engineering and manufacturing staff with the required skill sets for edge computing. As it stands, many IT departments are focused on on-site IT staff and central data centers, so its important to provide continued education and learning opportunities around edge computing for your workforce.
Automating the deployment configuration and management of an organizations edge computing landscape can help organizations manage both the compute platforms and the full application life cycle of edge applications. With remote management, organizations can help reduce the need for on-site IT support. Policy-based governance and proactive analytics can help organizations identify risks, prioritize remediation tasks, and ensure operations are both predictable and compliant with internal policies and external regulations.
Hence it makes sense for organizations to look for a partner who can run a consistent deployment model from the core to the edge. You can look for flexible architectural options to meet connectivity and data management requirements.
Additionally, many open-source technologies are emerging today to enable better optimisation of edge infrastructures.
Businesses need flexibility in terms of where they place workloads, even during times when the strategy needs an overhaul. A strategy that relies only on centralisation isnt the most optimal, owing to bandwidth, latency and resilience issues. This is where open-source innovation plays a critical role to ensure interoperability. Enterprise open source is a natural fit when it comes to multiple infrastructures working in-tandem with a multitude of software stacks.
In conclusion, to make the most out of edge computing, business leaders need to ensure three top deployment tips. One, plan the strategy around specific business goals. Two, by creating open standard based solutions that can access data without concerns for the underlying hardware. Thirdly, make sure to keep the future in mind, asking what the growth of the enterprise will mean for the edge strategy in the long term, and plan accordingly.
Views expressed above are the author's own.
END OF ARTICLE
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Edge computing: 4 things to keep on your radar as your business cuts the edge - Times of India
Managed IT Services in Raleigh: The 10 Biggest Cloud Migration … – Digital Journal
PRESS RELEASE
Published May 12, 2023
The 10 Most Common Cloud Migration Challenges Explained by Managed Services in Raleigh
Raleigh, United States - May 12, 2023 / ITSco - Managed IT Services Company Raleigh /
Cloud migrations are complicated and fraught with both business and technical risks.But they can also provide great advantages to growing businesses that want to be competitive in the marketplace. Understanding and overcoming the most common cloud migration challenges can help organizations address the biggest risks they will face on their way to creating a successful cloud strategy.
It is estimated that as many as70% of cloud migrations fail on the first attempt, with a corresponding loss of time, resources, and money.
To help prevent your business from being part of this frightening statistic,this blog will outline 10 of the most commoncloud migration challengesand provide tips on how to overcome them.
Keep in mind that the nature and extent of these challenges will vary depending on your businesss specific needs, but, by understanding the issues presented here, you will be better prepared to embark on asuccessful cloud migration!
Navigating the cloud is a key part of modern business.
Moving data, applications, and systems from on-site infrastructure to a cloud platform has the potential to give your organization greater scalability, flexibility, redundancy, and ROI. So, for most companies, its an option that simply must be evaluated.
A simple way to start your evaluation is by making a thorough assessment of your current IT infrastructure, and its ability to support your business plans:
If the answer to any of these questions is no, then its time to seriously consider various cloud solutions as part of your IT strategy.
Whether your cloud adoption strategy involves a simple lift and shift to a public cloud service, or has a more complex migration plan to go to a hybrid cloud environment, youll need to be aware of these top 10 cloud migration challenges to ensure your cloud migration strategy results ina successful first-time migration.
Data security is often the biggest concern when it comes to cloud migration, as you are entrusting your most valuable assets to an external provider making it potentially more difficult to ensure that data is protected from unauthorized access, theft, or loss.
To combat this risk:
Moving to the cloud requires different skill sets than managing an on-premises infrastructure, and organizations that lack experience in cloud computing may find themselves struggling to manage the migration process as well as the ongoing support of cloud infrastructure.
To overcome these challenges:
Many organizations have complex IT infrastructures that include a variety of on-premise and cloud-based systems, and ensuring that these systems can work together seamlessly is critical for the success of cloud migration efforts. Challenges may include:
And ways to address these challenges may include:
Cost management is a critical challenge for organizations during cloud migration. Cloud computing offers many benefits, including increased scalability, flexibility, and reduced IT infrastructure costs. However, without proper cost management, organizations can quickly see their cloud migration costs skyrocket, leading to unexpected expenses and budget overruns.
To overcome the challenge of cost management during cloud migration, organizations can take the following steps:
Legacy systems can be difficult to migrate as they often require complex custom integrations and manual data conversions.
To handle legacy systems organizations should:
One of the most overlooked issues associated with cloud migration is vendor lock-in. This refers to the situation where an organization becomes overly reliant on a particular cloud provider, making it difficult to switch providers or move applications and data to another cloud environment.
To avoid vendor lock-in:
While the cloud offers many benefits, including increased scalability, flexibility, and availability, it can also introduce new performance issues that organizations must address. Examples include:
To avoid costly performance issues:
Moving data to the cloud involves a significant amount of risk, including the risk of data loss, corruption, or theft.
To mitigate these risks:
If your business is subject to certain regulations like HIPAA, GDPR, or FINRA, then migrating data to the cloud will involve additional, critical compliance requirements.
You must research any laws or regulations that may apply to your specific industrybefore beginning the migration process.
Organizations should ensure that their cloud migration strategy complies with relevant regulations and standards. They should also work closely with their cloud provider to understand their compliance obligations and ensure that the provider is meeting their requirements.
Companies often struggle with introducing new technology into their existing IT infrastructure, as it can be difficult for employees to adjust to a new system. This can lead to challenges in adoption and implementation, which can impact the success of cloud migration efforts.
To overcome the challenge of resistance to change during cloud migration, organizations can take the following steps:
Migrating data into the cloud is no easy task, butwith proper planning and execution, you can overcome even the most difficult of challenges.
With ITSco as your trusted partner, you can rest assured that your cloud migration will be planned and executed by experienced professionals who will treat your business as if it were their own. We offer a comprehensive suite of professional services and managed IT services to help our customers understand and address a wide range of IT issues including the unique challenges and complexities associated with cloud infrastructure migrations.
Get in touch todayto learn how our managed IT services in Raleigh can help you make the switch!
Contact Information:
ITSco - Managed IT Services Company Raleigh
8480 Honeycutt Rd #200-V700 Raleigh, NC 27615United States
Mike Savino(844) 581-1319https://www.itsco.com/
Original Source: https://www.itsco.com/blog/cloud-migration-challenges/
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Managed IT Services in Raleigh: The 10 Biggest Cloud Migration ... - Digital Journal
Oracle Teams with Wyndham to Bring OPERA Cloud to 2,000 … – PR Newswire
Leading hotel cloud property management system expands relationship with world's largest hotel franchising company, adding to the hundreds of Wyndham branded hotels already live on the OPERA Cloud platform
AUSTIN, Texas, May 11, 2023 /PRNewswire/ -- Oracle is expanding the global rollout of its Oracle Hospitality OPERA Cloud Property Management System (PMS), today announcing plans to bring the system to 2,000 additional hotels under the Wyndham Hotels & Resortsportfolio by the end of next year. Currently, hundreds of Wyndham branded hotels are live on OPERA Cloud with franchisees using the system to simplify everyday hotel tasks, personalize guest experiences, and help boost revenue.
"We've brought hotels onto OPERA Cloud at incredible pace," said Scott Strickland, chief information officer at Wyndham Hotels & Resorts. "Today, we're averaging 20 hotels a week with franchisees migrating in a matter of days and seeing immediate benefits including greater efficiencies, lower costs, and the opportunity to deliver better guest experiences. That includes helping usdeliver new innovations to hotels such as room upselling, integrated revenue management, and mobile housekeeping management, among others, all on a global scale."
Beyond operational and cost efficiencies, Wyndham franchisees can use the Oracle Hospitality Integration Platform (OHIP) within OPERA Cloud to connect with RevIQ, Wyndham's next-generation, cloud-based, mobile-first revenue management system designed to help owners optimize their revenue strategies and grow market share. Created in collaboration with IDeaS, an industry leader in hotel revenue management software, RevIQ is built specifically for the needs of Wyndham franchisees and is designed to deliver top-tier performance while keeping control, flexibility, and simplicity at the forefront. Both it and OPERA Cloud are the latest in a growing list of initiatives supporting Wyndham's ongoing, multi-year digital transformation.
With OPERA Cloud, hotels can easily:
"Wyndham is the model of how a global brand can rapidly adopt cloud-based, mission critical technology," said Alex Alt, senior vice president and general manager of Oracle Hospitality. "With OPERA Cloud, Wyndham can scale to meet the needs and size of each unique property, speed innovation to support the evolving demands of customers, and help hotels create efficiencies that allow limited staff to focus on higher value tasks."
About Wyndham Hotels & ResortsWyndham Hotels & Resorts (NYSE: WH) is the world's largest hotel franchising company by the number of properties, with approximately 9,100 hotels across over 95 countries on six continents.Through its network of approximately 845,000 rooms appealing to the everyday traveler, Wyndham commands a leading presence in the economy and midscale segments of the lodging industry.The Company operates a portfolio of 24 hotel brands, including Super 8, Days Inn, Ramada, Microtel, La Quinta, Baymont, Wingate, AmericInn, Hawthorn Suites, Trademark Collection and Wyndham.The Company's award-winning Wyndham Rewards loyalty program offers approximately 101 million enrolled members the opportunity to redeem points at thousands of hotels, vacation club resorts and vacation rentals globally.For more information, visit http://www.wyndhamhotels.com.
Oracle HospitalityOracle Hospitality brings more than 45 years of experience in providing technology solutions to independent hoteliers, global and regional chains, gaming, and cruise lines. Our hardware, software, and services enable customers to act on rich data insights that deliver personalized guest experiences, maximize profitability, and encourage loyalty. Cloud-based, mobile-enabled, with open APIs, Oracle's OPERA Cloud property management and distribution, Simphony point-of-sale, reporting and analytics, and Nor1 upsell solutions accelerate innovation, increase revenue, lower IT cost, and maximize operating efficiency. To learn more, please visitwww.oracle.com/Hospitality.
About OracleOracle offers integrated suites of applications plus secure, autonomous infrastructure in the Oracle Cloud. For more information about Oracle (NYSE: ORCL), please visit us atwww.oracle.com.
TrademarksOracle, Java, MySQL and NetSuite are registered trademarks of Oracle Corporation. NetSuite was the first cloud company--ushering in the new era of cloud computing.
SOURCE Oracle
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Microsoft Tops Cloud Computing Expectations; Alphabet Ad … – Investopedia
Microsoft (MSFT) and Alphabet Inc. (GOOG, GOOGL) shares rose in after-market trading after Microsoft beat expectations for growth of its cloud segment and Alphabet authorized a share buyback while reporting a decline in ad revenue.
Shares of Redmond, Washington-based Microsoft jumped 5% after the company posted earnings per share of $2.45, beating analysts' expectations for $2.24. Its performance was driven by strong cloud computing revenue, which came in at $22.1 billion versus estimates of $21.9 billion.
Alphabet, the parent company of Google, beat estimates for revenue, which came in at $69.8 billion and profit, which totaled $15.1 billion. Still, advertising revenue fell 5% to $40.4 billion and it said sales from Youtube ads slipped to $6.69 billion from $6.86 billion in the same period a year ago. Its shares rose 3.7% after the board approved a $70 billion stock buyback program.
Analysts concerns about further tech sector layoffs weren't evident at Microsoft or Alphabet. Yet Alphabet did say it took $2 billion in expenses in the first quarter for employee severance and related charges after slashing 12,000 jobs in January. The company added that it had incurred charges of $564 million for office space reductions and said that it may further evaluate office space requirements in the future.
Microsofts earnings release was the first since the artificial intelligence hype that followed the release of its Chat-GPT-powered version of the Bing search engine. The company said that its search and news advertising revenue rose 10% higher from the last quarter. That performance was lost in the More Personal Computing segment results, where revenue of $13.26 billion declined from last years $14.58 billion.
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Microsoft Tops Cloud Computing Expectations; Alphabet Ad ... - Investopedia
Worldwide public cloud end-user spent to hit $597.3bn in 2023 – Trade Arabia
Worldwide end-user spending on public cloud services will grow 21.7% to total $597.3 billion in 2023, up from $491 billion in 2022, according to the latest forecast from Gartner, a leading management consulting firm.
Cloud computing is driving the next phase of digital business, as organisations pursue disruption through emerging technologies like generative artificial intelligence (AI), Web3 and the metaverse.
Hyperscale cloud providers are driving the cloud agenda, said Sid Nag, Vice President Analyst at Gartner. Organisations today view cloud as a highly strategic platform for digital transformation, which is requiring cloud providers to offer more sophisticated capabilities as the competition for digital services heats up.
Generative AI
For example, generative AI is supported by large language models (LLMs), which require powerful and highly scalable computing capabilities to process data in real-time, added Nag. Cloud offers the perfect solution and platform. It is no coincidence that the key players in the generative AI race are cloud hyperscalers.
All segments of the cloud market are expected see growth in 2023. Infrastructure-as-a-service (IaaS) is forecast to experience the highest end-user spending growth in 2023 at 30.9%, followed by platform-as-a-service (PaaS) at 24.1%.
Gartner predicts that by 2026, 75% of organisations will adopt a digital transformation model predicated on cloud as the fundamental underlying platform.
Customer experience
The next phase of IaaS growth will be driven by customer experience, digital and business outcomes and the virtual-first world, said Nag. Emerging technologies that help businesses interact more closely and in real time with their customers, such as chatbots and digital twins, are reliant upon cloud infrastructure and platform services to meet growing demands for compute and storage power.
While cloud infrastructure and platform services are driving the highest spending growth, SaaS remains the largest segment of the cloud market by end-user spending. SaaS spending is projected to grow 17.9% to total $197 billion in 2023.
The technology substrate of cloud computing is firmly dominated by the hyperscalers, but leadership of the business application layer is more fragmented, said Nag. Providers are facing demands to redesign SaaS offerings for increased productivity, leveraging cloud-native capabilities, embedded AI and composability particularly as budgets are increasingly driven and owned by business technologists. This change will ignite a wave of innovation and replacement in the cloud platform and application markets.-- TradeArabia News Service
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Worldwide public cloud end-user spent to hit $597.3bn in 2023 - Trade Arabia
Cloud computing and security critical for business strategy in 2023 – Daily Host News
According to Akamai Technologies, Inc., a company that provides cloud-based solutions for online security and performance, 96% of its channel partners in Australia and New Zealand (ANZ) see cloud computing as a crucial component of their customers 2023 business strategy. 48% of respondents estimated that 21-40% of their customers IT budgets would be allocated to cloud computing.
This aligns with the results of a survey conducted across the Asia Pacific and Japan (APJ) region, which revealed that 95% of partners also believe that cloud computing is vital to their business strategy for 2023. The survey was conducted across six countries in the APJ region, including Australia, New Zealand, Japan, China, India, Singapore, and South Korea, to gain insights into partners perspectives on IT budget priorities and their customers cloud strategy for 2023. Some key findings are:
There are significant variations in the willingness of businesses to allocate budgets to cloud computing, despite an overall agreement on the technologys importance. While some APJ businesses plan to allocate a significant portion of their IT budgets to cloud computing, others are not able or willing to do so. Specifically, 27% of businesses plan to spend less than 20% of their IT budgets on cloud computing, while 33% plan to allocate more than 40% of their budget to technology.
Thailand (50%), Japan (49%), and Taiwan (40%) had the highest percentages of respondents who expected to allocate less than 20% of their IT budget to cloud computing.
According to Akamai, most businesses recognize the importance of cloud technology, but many are hesitant to invest their IT budgets in it due to concerns about costs and how it may impact other IT priorities.
Akamai recently announced Akamai Connected Cloud, which is a hugely distributed edge and cloud platform for computing, security, and content delivery. As part of the announcement, Akamai will launch four new enterprise-scale core cloud computing sites across the APJ region in Chennai, Osaka, Jakarta, and Auckland by the end of 2023. Moreover, it has also identified over 50 cities globally where it will start rolling out distributed sites this year, bringing basic cloud computing capabilities into difficult-to-reach locations.
ANZ partners consider security as a top priority for 2023 alongside cloud computing, due to the increased number of data breaches in recent months. According to the Australian Cyber Security Centres (ACSC) third Annual Cyber Threat Report, the agency received over 76,000 cybercrime reports last year, a 13% increase from the previous year. As a result, ANZ partners are focusing on providing a range of products and services that offer different layers of security and in-depth defense to tackle these challenges.
Akamai is assisting its customers and partners by providing security solutions, such as Edge DNS, a globally accessible and adaptable domain name system (DNS) service that provides security, protection against Distributed Denial of Service (DDoS) attacks, and rapid DNS response times. Consequently, Akamai can monitor billions of DNS requests daily, giving them a clear understanding of the most recent security threats.
Read next:10 key cybersecurity mergers and acquisitions in 2022-23
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Cloud computing and security critical for business strategy in 2023 - Daily Host News
Google Cloud partners with Polygon Labs, adding yet again to its growing roster of Web3 firms – Fortune
Google Cloud announced on Thursday an expansive partnership with Polygon Labs, which develops software for and supports the Polygon ecosystem of blockchains.
As part of the tie-up, the cloud computing giant will add support for Polygon, a collection of layer 2 blockchains built on top of Ethereum, to its Blockchain Node Engine. Currently, the Blockchain Node Engine, a streamlined means for developers to access and use blockchains on Googles servers, only supports Ethereum and Solana.
Moreover, Google Cloud will build out infrastructure to support Polygon zkEVM, a new blockchain within the Polygon ecosystem recently released to much fanfare, and by the end of the third quarter, it will also help developers deploy application-specific blockchains built with Polygon tech on its servers.
Google Cloud supporting all of the Polygon protocols is a step in the right direction to help onboard more people into Web3, Ryan Wyatt, president of Polygon Labs, said in a statement.
And finally, Googles cloud computing arm will provide startups backed by Polygon Venturesa fund that invests in businesses building on Polygonwith a number of benefits, including credits to spend on hosting software on Google Clouds servers and access to the cloud services providers newly announced Web3 startup program. In fact, Google Cloud had already announced on Tuesday that successful applicants to the Web3 startup program are eligible to access a pot of $3 million in dedicated funding from the Polygon Ventures Ecosystem Fund, among other perks.
The industry is experiencing a flight to quality as corporations seek to minimize risk when exploring new possibilities in Web3, Mitesh Agarwal, a managing director at Google Cloud, said in a statement.
Despite the ongoing chill of Crypto Winter and a regulatory crackdown from the U.S. government, Google Clouds tie-up with Polygon Labs is further evidence of the cloud computing giants accelerating flurry of attention to Web3 from late 2022 through 2023.
In the first half of 2022, Google Cloud announced the formation of its digital assets and Web3 engineering teams. Then, after a ramp-up period, it began a steady campaign as it partnered with labs and foundations to support a number of blockchains, including BNB Chain, Solana, Aptos, Tezos, Casper, and Celo.
Google Clouds partnership with Polygon Labs, however, is more extensive than many of its prior affiliations with blockchain protocols. Its support for Celo, for example, boiled down to an extension of its existing Google for Startups Cloud Program to the blockchains developers. While the cloud computing giant is extending similar benefits to Polygon developers, its also tailoring its infrastructure to Polygons ecosystem, which has recently claimed a large number of brand-name clients, including Starbucks and Mastercard.
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Google Cloud partners with Polygon Labs, adding yet again to its growing roster of Web3 firms - Fortune