Cloud Migration Services
Cloud migration services help companies move their applications and databases to the cloud. Since 2012, ScienceSoft’s cloud experts plan and carry out risk-free, cost-effective cloud migration projects that help boost app performance and significantly reduce IT infrastructure costs.
Why Choose ScienceSoft as Your Cloud Migration Provider
- 34 years in IT, 11 years in cloud database and application migration services.
- 10-year experience in DevOps practices.
- 31 industries covered: healthcare, financial services, retail, manufacturing, marketing and advertising, telecoms, and more.
- ISO 9001-certified quality management system based on mature practices and policies, result-oriented people, and transparent collaboration with clients.
- Security of the customers’ data we access guaranteed by an ISO 27001-based information security management system.
- 62% of our revenue is coming from partnerships that last for more than 2 years.
Trusted by global brands:
Clouds We Work With
AWS
Microsoft Azure
Google Cloud Platform
DigitalOcean
The Scope of Our Cloud Migration and Management Offering
Planning and design
- Migration strategy and plan tailored to your business needs.
- Application(s) and data warehouse architectures adapted to the cloud.
- CI/CD pipeline design for quick development.
Migration & optimization
- Modernized application(s) or DWH.
- Cloud infrastructure configuration.
- Integration of cloud and on-premises environments to form a hybrid cloud infrastructure, if required.
- CI/CD implementation.
- Test strategy, test plan, test cases. Automated tests.
- Data migration scripts, data migrated.
Knowledge transfer
- Detailed process descriptions and policies regulating IT service provisioning after cloud migration.
- Cloud-specific knowledge transfer to in-house architects, developers, testers, DevOps engineers, IT support specialists, DBAs, and security administrators.
Support & optimization
- Setup of monitoring tools to measure cloud app/DWH performance, load, etc.
- Cloud operating cost optimization strategy.
Choose Your Cloud Migration Service Option
Benefits of Cloud Migration Services by ScienceSoft
Optimized cloud costs
According to Flexera’s 2021 State of the Cloud Report, on average, 35% of an enterprise cloud bill is wasted. Often, overspending reaches 70% and more! At ScienceSoft, we’re for reasonable IT investments only. We apply different tactics to help you get the most each dollar spent on cloud services.
State-of-the-art reliability and low latency
Actively working with business-critical systems, our cloud migration specialists know how important it is to ensure the maximum availability and performance of your apps in any circumstances and spotless work of your time-sensitive apps.
Superior security
According to the 2022 Cloud Security Report, the top cloud security threats are unauthorized cloud access (42%), insecure interfaces (42%), misconfiguration of the cloud platform (40%), and account hijacking (39%). Since 2003, ScienceSoft’s security experts help businesses monitor, prevent, detect, and manage security incidents.
ScienceSoft USA Corporation Is a 3-Year Champion in the Financial Times Rating
Three years in a row (2022–2024), the Financial Times has included ScienceSoft USA Corporation in the list of 500 fastest-growing American companies. This is the result of our dedication to driving project success despite any constraints and disruptions.
The Key Stages of Our Cloud Migration Projects
1
Project discovery
- Application/DWH audit.
- Security and compliance assessment.
- Dependencies mapping.
- Requirements gathering.
- Preparing cloud migration project plan.
2
Data migration
For complex and data-intensive migrations, our team works out a strategy and chooses optimal data migration tools. In addition, we:
- Create scripts to perform data extracting, cleaning, and loading to the target environment.
- Build a tool or create a script to automate cloud data migration (automation is optional and depends on the data availability requirements).
- Perform and validate trial data migration.
- Execute massive data migration and test the results.
3
Updating application/DWH architecture and code, if required
4
Mock or pilot migration (optionally)
To reduce the potential risks, we can start the migration with:
- Moving your application or DWH to a beta environment before migrating to the production instances in order to test and fine-tune their functionality and cloud services configuration (mock migration).
- Migrating a small sample to the production environment to identify the impact on the to-be-migrated application, the applications it is integrated with, and other existing infrastructure component (pilot migration).
5
Phased migration of all chosen workloads
6
Testing and going live
7
Maintenance and continuous support (optional)
To prevent any disruptions to your operations, we meticulously plan migrations around your business schedules. Our team identifies peak business hours, critical operational periods (such as month-end reporting for financial departments), and any upcoming business initiatives that require full system availability. Knowing all that, we customize migration windows to align with the low-impact periods. For many businesses, this means scheduling migrations for night hours, weekends, or public holidays.
We employ real-time monitoring to quickly address any issues during migration and have robust rollback plans ready to minimize potential disruptions. Our strategy includes incremental migrations and running parallel systems when possible, allowing business operations to continue smoothly on the existing infrastructure while parts of the system are moved.
Get more details about ScienceSoft’s approach to:
Rehost vs. Replatform vs. Re-archictect: What’s the Difference
To really make the most of the cloud, you often need more than migrating your apps and data storage. To get all the benefits — like being able to scale easily or using cool features for AI and IoT — reconsider how your storage and apps are built and managed. This includes incorporating modern approaches like microservices or serverless architectures, containers, infrastructure as code, CI/CD pipelines. By doing this, your IT components will do more than just work in the cloud — they'll thrive.
How Long Does Cloud Migration Take?
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There are multiple factors that influence the migration timeline, e.g., the chosen cloud migration method, the complexity or workloads and data volume to migrate, the scope of the target infrastructure, the required code and configuration changes. Based on ScienceSoft’s experience, a typical migration of a simple app takes ~2–2.5 months, medium and complex apps – 6+ months, a DWH – ~2–8 months. |
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How Much Does Cloud Migration Cost?
$20,000–$250,000
For a medium/large application.
$500,000+
For a large app with deep modernization (e.g., re-architecting into microservices).
$140,000–$280,000
For the migration to a cloud DWH like Azure Synapse or Amazon Redshift (for a company with 500–1,000 employees).
$280,000–$700,000
For the migration to a cloud DWH like Azure Synapse or Amazon Redshift (for a company with 1,000+ employees).
Delaying Cloud Migration due to Uncertainty?
Please answer a few questions prepared by ScienceSoft's consultants.
Within 24 hours, our team will carefully review your cloud migration needs and calculate a custom quote. We'll send it to your email completely free of charge.
Our team is on it!
ScienceSoft's experts will study your case and get back to you with the details within 24 hours.
Common Questions about Cloud Migration Services Answered
How can I be sure that my migration investments will pay off?
As a rule, we start with cloud migration consulting to assess the feasibility of your migration project and calculate the TCO and ROI of the solution-to-be.
How do you choose the best cloud option for a specific migration project?
Each cloud provider offers different IaaS, PaaS, and SaaS services. It’s our job as a vendor-neutral cloud migration company to be proficient in the cloud offerings and help you find the best match for your needs. Our recommendation will be a result of a thorough analysis of your budget constraints and requirements for the cloud infrastructure, compliance, security, performance, availability, and many other factors. Choose the right cloud with expert help.
Should a legacy data warehouse continue working simultaneously while the data is being migrated?
When it comes to large and complex data migrations, we tend to have both cloud and on-premises data warehouses running simultaneously during the migration and a short period after. This makes us always ready to roll back in case we face issues that cannot be solved immediately, thus avoiding business disruptions.
Can cloud migration result in application misbehavior?
We provide automated testing to check app business logic, so we can continuously monitor how introduced changes influence it at no additional cost.
How can I control the migration project’s progress?
We ensure cooperation transparency to give you full visibility into the project progress. We work in adherence with an SLA that outlines the expected timelines, responsibilities, deliverables, and KPIs. You also receive regular reports on the completed tasks.
Migration Pains ScienceSoft Cures
ISSUE
FIXED
High cloud consumption costs
Autoscaled resource consumption without performance trade-offs. Optimal use of cloud services.
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ISSUE
FIXED
Inefficient development in the cloud
Mature CI/CD pipelines for fast app delivery. Integration of cloud services over writing own code.
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ISSUE
FIXED
Poor performance of cloud apps
Automated resource orchestration to withstand load surges.
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ISSUE
FIXED
Frequent failures of cloud apps
App performance management and automated testing to handle problems at the early stages.
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ISSUE
FIXED
Non-secure cloud environment
Well-tuned access management and component-level security. Automated backups and encryption for data safety.
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ISSUE
FIXED
Expensive migration beyond the due terms
Pragmatic migration to a cost-optimal cloud platform adherent to your needs while leveraging cloud services (e.g., managed PaaS environments) to reduce development efforts and cloud costs.
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