Increasing cloud complexity leads to cloud repatriation

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It is true that increasing #cloudcomplexity can lead to cloud repatriation, which is the process of moving workloads and data from the cloud back to on-premises data centers or other private infrastructure.


Many senior IT leaders struggle with increasing cloud complexity. As organizations adopt more cloud technologies and services, managing and securing their cloud infrastructure can become increasingly challenging. A survey conducted by Dynatrace found that 98% of senior IT leaders reported experiencing cloud-related issues, with 78% of them stating that cloud complexity was their top challenge.

The complexity of cloud environments can arise due to a variety of factors, including multiple cloud service providers, a mix of public and private clouds, and the need to integrate with on-premises infrastructure. This complexity can lead to issues such as security vulnerabilities, data loss, and compliance risks. This will further lead to challenges such as vendor lock-in, data sovereignty concerns, and compliance issues, among others.

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#CloudRepatriation, #IncreasedComplexity, #C.

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  • Watch Increasing cloud complexity leads to cloud repatriation Video
    Increasing cloud complexity leads to cloud repatriation

    It is true that increasing #cloudcomplexity can lead to cloud repatriation, which is the process of moving workloads and data from the cloud back to on-premises data centers or other private infrastructure.


    Many senior IT leaders struggle with increasing cloud complexity. As organizations adopt more cloud technologies and services, managing and securing their cloud infrastructure can become increasingly challenging. A survey conducted by Dynatrace found that 98% of senior IT leaders reported experiencing cloud-related issues, with 78% of them stating that cloud complexity was their top challenge.

    The complexity of cloud environments can arise due to a variety of factors, including multiple cloud service providers, a mix of public and private clouds, and the need to integrate with on-premises infrastructure. This complexity can lead to issues such as security vulnerabilities, data loss, and compliance risks. This will further lead to challenges such as vendor lock-in, data sovereignty concerns, and compliance issues, among others.

    Today's Headline in NewsHours
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    2:46 #Twitter to verify the top 10,000 most-followed firms for free
    3:17 Italy expresses concern over ChatGPT breaching EU’s GDPR clauses
    3:55 #Amazon may get sued for gathering kids' data via Alexa
    4:30 Parliamentary panel expresses concern over delay in data protection bill
    5:00 Fans complain of Jio Cinema app crashing on IPL opening day


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    #CloudRepatriation, #IncreasedComplexity, #C

    Technology video | 153 views

  • Watch Cloud Adoption to Cloud Repatriation Video
    Cloud Adoption to Cloud Repatriation

    #Cloudadoption refers to the process of transitioning an organization's data, applications, and services from traditional on-premises infrastructure to a cloud-based infrastructure. Whereas, Cloud repatriation refers to the process of moving data, applications, and services back from the cloud to an on-premises infrastructure.


    Both cloud adoption and #cloudrepatriation can have their benefits and drawbacks, depending on an organization's specific needs and circumstances. Cloud adoption can provide organizations with access to powerful computing resources, flexibility, and scalability, while cloud repatriation can provide greater control, increased security, and potentially lower costs in some cases.


    Yes, it is true that some enterprises are moving from cloud adoption to cloud repatriation. While cloud adoption can provide many benefits such as scalability, flexibility, and cost savings, it may not be the best fit for every organization or workload.

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    Cloud Adoption to Cloud Repatriation

    Technology video | 168 views

  • Watch Cloud adoption Vs cloud repatriation Video
    Cloud adoption Vs cloud repatriation

    #Cloudadoption and #cloudrepatriation are two opposite trends in the use of cloud computing. Cloud adoption refers to the process of moving data and workloads from on-premises infrastructure to cloud infrastructure. Cloud repatriation, on the other hand, refers to the process of moving data and workloads from the cloud back to on-premises infrastructure.

    Cloud adoption has been a growing trend in recent years, as many organizations have been moving their workloads to the cloud. Cloud adoption has been driven by a number of factors, including the need to modernize IT infrastructure, the desire to improve agility and innovation, and the need to reduce costs.

    However, cloud repatriation is also a trend that is starting to gain traction, particularly as organizations become more concerned about security, compliance, cost, and performance. Cloud repatriation may be driven by a variety of factors, such as concerns about data sovereignty, the desire to maintain greater control over data and workloads, and the need to optimize performance and costs.

    There are several reports on increasing cloud repatriation in India. The reason could be data sovereignty concerns. India has enacted data localization laws that require certain types of data to be stored locally, and this may make it more difficult or expensive for companies to store their data in the cloud.

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  • Watch India houses an interesting mix of customers adopting cloud and cloud repatriation Video
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    'Navigating the Complexity of Cloud Computing'

    When #CloudComplexity is Reaching a Tipping Point, at the same time, Data complexity has reached a boiling point for companies globally, and tech executives are feeling the pressure to simplify to make it a business growth driver. This complexity is a result of both technical challenges like data mobility between clouds and organisational challenges like cost management, and the need for a clear cloud strategy.


    The exponential growth of data in recent years has resulted in a significant increase in data complexity, which has reached a boiling point for many organizations. Data complexity refers to the challenges that organizations face in managing and analyzing data that is diverse, distributed, and voluminous.


    These challenges vary market to market but are lower in India compared to most of the world. Top challenges globally include data mobility, vision for cloud strategy, security risks, and cost.


    Cloud computing has undoubtedly transformed the way businesses operate, enabling them to scale rapidly, reduce costs, and increase agility. However, as more companies adopt cloud technology, the complexity of managing it is becoming increasingly challenging, and many organizations are struggling to keep up.

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  • Watch Concerns on increasing cloud cost Video
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    Where the rules are broken. Such an attitude often gives rise to 'shadow IT,' which is the use of infrastructure, services and applications outside the boundaries of an organization's corporate IT policies. Shadow IT, that targets cloud-based technology creates what is known as a 'shadow cloud.

    Many CIOs in the mid to latter phases of their cloud migrations are increasingly trapped in a vexing quagmire — handing their CFOs massive monthly cloud bills with no ROI to show for it.

    Every cloud provider offers discounts and built-in free optimization tools, but the fact is not everyone uses them. Only 36% of #AWS users take advantage of reserved instances, and 31% use saving plans, according to the Flexera State of the Cloud report. Those numbers are down from 52% and 44% last year, respectively.

    Accenture, for instance, maintains that many of its clients in the 30% and 50% phase of their cloud migrations are absorbing exorbitant cloud costs when expected business outcomes have yet to materialize.

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  • Watch Increasing Concerns On Cloud Services Are Under Attack | Cyber Attack | VARINDIA News Hour Video
    Increasing Concerns On Cloud Services Are Under Attack | Cyber Attack | VARINDIA News Hour

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    With the new hybrid-working model we see organizations increasingly moving more of their workload settings to the cloud. While this transformation offers great agility and scalability benefits, it comes with inherent and increased risks to security and compliance. A simple configuration error can result in your entire organization being exposed to threat actors who no longer need to break into your data center to access your critical data or conduct ransomware attacks. As per Gartner by 2025, 99% of cloud security issues will be a result of human error when configuring assets and security in the cloud. At a time when organizations are becoming increasingly dependent on third-party cloud vendors such as AWS, Microsoft Azure, IBM and Google Cloud Platform to securely manage their data, concerns around misconfigurations and other vulnerabilities in the cloud are likely to amplify quickly. What’s more, many of the organizations finding themselves at risk have had to accelerate their digital transformation initiatives at an uncomfortable pace over the past two years, resulting in knowledge and talent gaps that only add to their fears around cloud security.

    Under the shared responsibility model - a security framework designed to ensure accountability for compromised data and other incidents - the cloud provider will offer basic cloud security, but it's up to businesses themselves to secure their own data within the cloud. To put it in another way, if cloud providers ensure the town gates are locked and the perimeter is well guarded, it’s still up to businesses to ensure their own doors are locked. That’s no mean feat, particularly when you consider that many large enterprises now rely on three or four cloud platforms as part of a multi-cloud strategy. Attacks on cloud service providers are ramping up. As outlined in Check Point 2022 Security Report, the previo

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