We examine the existing system architecture, infrastructure, codebase, and database. This helps us define the migration scope, identify any blockers, and choose the right cloud platform, such as Amazon Web Services, Microsoft Azure, or Google Cloud. The result of this step is a migration roadmap that includes effort estimates and risk mapping.
Our engineers will perform analysis on the existing infrastructure and business, and will come up with a suitable design for a migration from legacy to cloud. We will determine from this design whether the platform necessitates recoding or merely rehosting.
For this service, we move existing workloads to cloud infrastructure without changing the application architecture. This is useful for systems where the main goal is to reduce infrastructure costs and improve operational stability rather than refactoring the application.
We help businesses move their older applications to managed cloud services without the need to completely rewrite the code. This often means that migration specialists need to swap out on-premise databases for cloud-managed versions, move to new runtime environments, and set up auto-scaling features.
We take legacy applications and completely redesign them for the cloud. This involves division of applications into smaller microservices, migration to serverless or event-driven models, and building CI/CD pipelines to automate the deployment process.
We help businesses transition their relational and non-relational databases to cloud-managed services. This includes platforms such as Amazon RDS, Azure SQL, and Cloud Spanner. This process involves transforming the flow, validating the data, and strategizing the transition to keep interruptions to a minimum.
We employ Docker to containerize components of older applications, which then deployed to Kubernetes or managed container services, including Amazon EKS and Google GKE.Legacy Application
Chudovo’s engineers modernize legacy apps, aiming to remove technical debt and bring the codebase back to a manageable condition.
We bridge existing on-premises systems with cloud services, utilizing APIs, message brokers, or event streaming platforms such as Kafka or Amazon SQS. This approach works well when a complete migration isn’t feasible, and a hybrid setup is the best option.
After the migration is complete, we monitor system performance carefully. We implement cost-control strategies and establish security protocols that adhere to the cloud provider’s standards.
The duration of migration varies and commonly depends on the system’s size, the complexity of its design, the chosen cloud platform, and the specific needs of the organization. While a single, universal schedule isn’t possible, certain factors consistently affect how long a particular project will take.
