Cloud Data
Migration Services

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We help businesses seamlessly transfer their data and applications from on-premises or legacy systems to cloud-based platforms.
We help businesses seamlessly transfer their data and applications from on-premises or legacy systems to cloud-based platforms. We help businesses seamlessly transfer their data and applications from on-premises or legacy systems to cloud-based platforms.

Working on cloud platforms offers numerous opportunities for cost savings and optimization.

Key aspects regarding costs that we advise our business customers to consider regarding their infrastructure
  1. Pay-as-You-Go Model
  2. Resource Sizing
  3. Reserved Instances and Savings Plans
  4. Autoscaling
  5. Spot Instances
  6. Storage Optimization
  7. Serverless Computing
  8. Containerization and Orchestration

Pay-as-You-Go Model

Cloud platforms typically follow a pay-as-you-go pricing model, which means the client pays only for the resources consumed. This approach allows us to optimize costs by provisioning resources as needed and avoiding overprovisioning or underutilization. Scaling resources up or down based on demand can help you optimize costs.

Resource Sizing

Accurately sizing your cloud resources is crucial. Oversized resources lead to unnecessary costs, while undersized resources can result in poor performance. Regularly monitor and analyze resource utilization to identify opportunities for optimization. Scaling vertically (increasing the size of an instance) or horizontally (adding more instances) can be done dynamically to meet changing demands.

Reserved Instances and Savings Plans

Cloud providers offer options like reserved instances or savings plans, which allow us to commit to using specific resources for a longer duration at a discounted rate. These plans can provide significant cost savings if we have predictable workloads or long-term projects.


Implement auto scaling policies to automatically adjust the number of resources based on workload demands. This ensures we have enough resources during peak periods and reduces costs during low-demand periods. Autoscaling eliminates the need for manual intervention and optimizes resource allocation.

Spot Instances

Many cloud providers offer spot instances, which are unused or spare computing resources available at significantly lower prices. Spot instances can be a cost-effective option for non-critical workloads or tasks that can handle interruptions.

Storage Optimisation

After we analyse your data storage needs, we then choose the most appropriate storage options. Cloud providers offer various storage classes, such as standard storage, infrequent access storage, and cold storage, each with different pricing tiers. Optimise data archiving and lifecycle management to reduce storage costs.

Serverless Computing

Serverless computing platforms, like AWS Lambda or Azure Functions, allow us to run code without provisioning or managing servers. With serverless architectures, the client pays only for the actual compute time your code consumes. This eliminates costs associated with idle resources and infrastructure management.

Containerisation and Orchestration

Containerisation technologies like Docker and container orchestration platforms like Kubernetes enable efficient resource utilisation. By encapsulating applications into containers, you can run multiple instances on a single server, reducing infrastructure costs and improving scalability.

Monitoring and Optimisation Tools

Utilise cloud provider tools and third-party solutions to monitor your infrastructure, analyse performance, and identify areas for optimisation. These tools provide insights into resource utilisation, cost breakdowns, and recommendations for improving efficiency.

Cost Allocation and Governance

Implement effective cost allocation and governance practices. Assign costs to different departments, teams, or projects to improve accountability. Regularly review and optimise spending patterns to identify areas of overspending or potential cost-saving opportunities.