Frequently asked questions

1. How long does a Cloud Migration Assessment take?

The assessment process typically takes 2 to 4 weeks, depending on the scale and complexity of your current infrastructure.
We commit to completing the assessment within the timeline agreed upon with each client.

2. How is the service priced?

We offer assessment services at either a fixed rate or hourly basis, depending on the project scope and customer needs.
The initial evaluation is free of charge, helping define the project scope and provide an accurate quotation.

3. If our company isn’t ready to migrate yet, should we still get an assessment?

An assessment provides a clear view of your current environment and a strategic roadmap for the future, helping you plan budgets, allocate resources, and prepare for migration - whenever the right time comes.

4. How long does a typical migration take?

The duration depends on the scale and complexity of your applications. For mid-sized workloads (10–50 servers), migration — including assessment, transition, and testing - typically completes within 8-12 weeks.

5. Do my applications need modification to run on AWS?

With the Rehost (lift-and-shift) strategy, most applications can be migrated without modification. The AWS Application Migration Service automates the conversion of source servers to run natively on AWS. For other strategies, we assess and recommend the necessary level of adjustment.

6. How is data security ensured during migration?

All data is encrypted in transit and at rest. We strictly follow AWS security frameworks and conduct a full pre-migration security assessment to ensure compliance and protection throughout the process.

7. How is Generative AI different from traditional AI?

Unlike traditional AI, which focuses on pattern recognition and classification, Generative AI can create new content - from text and images to code and design ideas - enabling powerful automation and creativity in business workflows.

13. Is DevOps suitable for small businesses?

Absolutely. DevOps helps small businesses optimize resources, automate workflows, and scale efficiently.
We offer flexible service packages designed to fit both the budgets and needs of startups and SMEs.

14. How long does it take to implement a DevOps pipeline?

The implementation timeline depends on the complexity of your system.
For mid-sized projects, we typically complete a basic CI/CD pipeline within 4-6 weeks, and a full DevOps solution within 8-12 weeks.

15. How do you measure DevOps performance?

We track four key metrics - Deployment Frequency, Lead Time for Changes, Mean Time to Recovery (MTTR), and Change Failure Rate.
These metrics are monitored in real time through dashboards and summarized in periodic reports.

18. How much does a security assessment cost?

Costs depend on the size and complexity of your system. We provide a free preliminary assessment to define scope and deliver an accurate quote.
Investing in proactive security reviews is far more cost-effective than resolving incidents post-breach.

17. How often should a security assessment be conducted?

We recommend a full assessment at least every six months, or following any major architectural changes. Continuous automated evaluation is handled through AWS Security Hub and Config Rules.

11. How often should optimization assessments be performed?

We recommend a comprehensive review every six months, supported by continuous monitoring via AWS Cost Explorer and Trusted Advisor. Our team also offers ongoing monthly optimization reviews with recommendations.

16. Do security assessments interrupt system operations?

No. We use non-intrusive testing methods and coordinate with your operations team to ensure all assessments are performed safely during approved windows, with zero disruption to business processes.

9. Can small businesses adopt Generative AI?

Absolutely. With cloud-based AI-as-a-Service models, small businesses can start with simple use cases - such as chatbots or automated reporting - and scale up without heavy upfront investment.

8. How do you ensure data quality for AI?

Data quality is critical for effective AI outcomes. We implement comprehensive data governance, including data cleaning, quality control, and metadata management, to ensure trustworthy and high-performing AI models.

12. How do you measure the ROI of optimization?

We track ROI using metrics such as monthly savings, performance improvements (response time, throughput), and operational efficiency gains, along with business KPIs like customer satisfaction and revenue impact.

10. Does cloud optimization cause service interruptions?

No. We apply techniques like blue-green deployment, canary releases, and Infrastructure as Code to perform changes with zero downtime. All optimization activities are planned and executed within approved maintenance windows.