Drawbacks of the traditional “on-premises” model
Drawbacks of the traditional “on-premises” model The upkeep of most technology means patching and updating with the need of eventual replacement. The decision about which parts to do and in which order with urgency is impossible to manage. The commitment of resources (budget, people) to provide upkeep with no promise of incremental business value can mean a strong likelihood of interruption and disruption.
A business approach invoking “upkeep and innovation” simultaneously is difficult. The maintenance of older infrastructure and systems in many cases with little documentation means the technical knowledge needed to maintain older systems is obtained through curiosity and chance, and is very time consuming. Any implementation experience tends to be mainly theory, never standardised or documented and is now unpractical. This lack of standardisation impedes business growth; delays to projects are caused by a repetitive learning curve of failed attempts and inevitable dead-end due to the time cycle needed to design, build and validate, rebuild and expand apply to each additional service you want to consume and increases across each project type. The hardware costs (compute, storage, network) are still on Capex, i.e. you pay for peak all of the time. Large scale monitoring and large dataset analysis is extremely difficult.
It is critical business understand the risks associated with using cloud services with their own level of risk tolerance, and then focus on mitigating the risks that the organization cannot afford to discount.
The company have to ensure their applications and data hosted in cloud services are secured in accordance with their security and compliance policies and verify that the master service agreement between the company and any future Cloud Service Provider, along with associated documents such as the service level agreement (SLA), contain all of their requirements. It is vital for the company to understand all the terms related to security and to ensure that those terms meet their needs. If a suitable master service agreement and SLA is not available, then it is inadvisable for an organization to proceed with the use of those cloud services at a specific provider.
Iaas, PaaS, SaaS and your Business.
The category of cloud service offered by the provider (IaaS, PaaS or SaaS) has a significant impact on the split of responsibilities between the company and the provider to manage security and associated risks. For IaaS, the Cloud Service Provider is supplying (and responsible for securing) basic IT resources such as machines, disks and networks. The business is typically responsible for the operating system and the entire software stack necessary to run applications, and is also responsible for the company data placed into the cloud computing environment.
Thus, most of the responsibility for securing the applications and the company data falls onto the company . In contrast, for software-as-a-service, the infrastructure, software and data are primarily the responsibility of the provider, since the company has little control over any of these features. These aspects need appropriate handling in the contract and the SLA (Service Level Agreement).
We focus on results, our professional staff and worldwide experience with the latest challenges in the IT Industry ensure the best cost, performance and availability outcomes for your business. Achieve a measurable difference in compliance & quality of your business standards worldwide.
- We meet customer needs for speed-to-market and efficiency.
- We organise, preserve, protect and secure all data in line with forthcoming GDPR regulations.
Cloud Strategy & Planning, Implementation
- ISO Compliant architecture through our Cloud Partners AWS, Microsoft and Oracle.
- Physical & Virtual systems optimisation using Docker containerisation.
- Systems building within private/hybrid public cloud taxonomies in line with company data protection guidelines and cloud data ISO Compliance.
- Due diligence across your entire infrastructure
Audit, Risk Analysis & Control, Security:
- Infrastructure and enterprise management & monitoring, logging.
- Business continuity service: backup, replication, disaster recovery and high availability technologies
- Independent data-center infrastructure audits: performance, DR, regulatory, cost
- Risk controls :data diversification, duplication, risk reduction, risk avoidance, risk prevention, data separation
- Update and patching in-line with newly agreed update policy across all Cloud infrastructure
- Security Incident Event Managment
Software & Hardware Life-cycle Management:
The flexibility of cloud based services will allow any company to potentially take a phased approach to transitioning to a fully cloud based operating model. For example, this could start with the transfer of infrastructure management and ultimately be completed through the full management of applications in the cloud. Existing legacy systems are unlikely to achieve this in terms of technical capabilities and refreshing them to do so through on-site infrastructure and application investments is not considered cost-effective.
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