We engineer innovative custom cloud services that remain at the forefront of the latest advancements in the technology industry
At NewSoft Sage, our Cloud Computing practice revolutionizes the landscape of data processing, leveraging the power of remote servers to handle computation and data storage. This paradigm shift minimizes latency, boosts operational efficiency, and slashes bandwidth consumption, facilitating real-time data processing and decision-making across your network. Our solutions empower businesses to swiftly act on data-driven insights, seamlessly integrating technology to bolster performance, security, and scalability. Immerse yourself in the realm of Cloud Computing with NewSoft Sage and unleash the complete potential of your digital journey.
Proof of Concept for short-term capability validation (4 weeks)
Consulting-led engagement, delivered as a short-term proof of concept to assist you in testing and validating cloud service interoperability and performance within a controlled, simulated environment. We will guide you through the end-to-end execution of the POC, including scope definition, design, implementation, testing, and documentation of recommendations to support your pre-site and pre-production cloud deployment efforts.
Cloud POC for maximum efficiency
Get ahead of the competition with our advanced Cloud Service solutions. Bid farewell to latency concerns and greet faster data processing. Reach out today to explore our Cloud Service POC
Assessment & Planning
Current Infrastructure Evaluation: Conduct an assessment of the existing IT infrastructure to identify opportunities for migrating to the cloud and potential use cases. -
Cloud Service Selection: Identify appropriate cloud services (e.g., IaaS, PaaS, SaaS) based on the organization's needs and requirements. -
Cost-Benefit Analysis: Perform a cost-benefit analysis to evaluate the potential savings and benefits of migrating to the cloud compared to on-premises solutions.
Migration Strategy & Planning
Migration Assessment: Assess the readiness of applications and workloads for migration to the cloud, considering factors such as dependencies, compatibility, and data sensitivity.
Migration Approach Definition: Define the migration approach (e.g., lift-and-shift, re-platforming, refactoring) for each application or workload based on its characteristics and requirements.
Risk Management: Identify potential risks and challenges associated with the migration process and develop mitigation strategies to address them.
Migration Execution & Deployment
Migration Execution: Execute the migration plan, moving applications, data, and workloads to the cloud environment according to the defined approach.
Testing & Validation: Conduct testing and validation of migrated applications and workloads to ensure functionality, performance, and security in the cloud environment. Deployment & Configuration: Deploy and configure cloud resources, networks, and services to support the migrated workloads and meet operational requirements.
Optimisation & Governance
Performance Optimisation: Optimise cloud resources and configurations to improve performance, scalability, and cost-effectiveness.
Cost Management: Implement cost management and monitoring practices to track cloud spending, identify cost-saving opportunities, and optimise resource allocation.
Governance & Compliance: Establish governance frameworks and policies to ensure compliance with regulatory requirements, data protection laws, and security standards in the cloud environment.
The potential applications of cloud services have expanded far beyond traditional boundaries, extending beyond just data storage and processing. Cloud services can drive swift decision-making and enhance user experiences by delivering personalized relevance at every interaction. Today, cloud services are instrumental in generating fresh insights and facilitating novel experiences, leveraging the expansive cloud infrastructure.
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Cloud services in the agriculture and farming industry empower real-time monitoring of crop health and livestock conditions, enhancing irrigation, fertilization, and pest control strategies. Additionally, they enable the deployment of autonomous farming machinery, enhancing efficiency and sustainability.
Order a free consultation – our experts will select the most effective solution
A Proof of Concept (PoC) is a preliminary demonstration that demonstrates how feasible and viable a proposed solution or technology is. Businesses can make informed decisions before full-scale implementation by validating ideas, assessing risks, and evaluating risks. Our PoC service, which is delivered within four weeks, provides a fast yet thorough evaluation of AI solutions customized to your specific requirements, reducing risks and speeding up innovation.
We offer comprehensive support from our team of AI specialists during the Proof of Concept process. Starting from the initial scoping and data analysis, we will work closely with you to ensure transparency, collaboration, and successful outcomes.
Upon successful completion of the Proof of Concept, we provide comprehensive insights, recommendations, and next steps for further development or implementation. Whether you choose to proceed with a full-scale deployment, refine the concept, or explore alternative solutions, our team remains committed to supporting your journey towards realizing the full potential of AI technologies.
If you're exploring new technologies, validating hypotheses, or seeking to mitigate risks before investing in a full-scale implementation, a Proof of Concept can be a valuable first step. Our team can assess your project requirements, objectives, and constraints to determine the most appropriate approach and provide tailored recommendations for achieving your goals effectively and efficiently.
Cloud technology forms the backbone of our AI infrastructure, providing scalability, flexibility, and accessibility. By leveraging cloud services, we ensure seamless deployment, integration, and management of AI solutions, empowering businesses to harness the full potential of AI.
Cloud computing provides scalability and flexibility to scale resources up or down based on demand, enabling agility and cost savings
Cloud computing enables rapid innovation and agility by providing access to a wide range of cloud services and technologies for development and deployment.
Cloud computing offers built-in redundancy, disaster recovery, and backup capabilities to ensure business continuity and data resilience.
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