The first step towards taking your workloads to the cloud is migration. The best way to start the migration journey is by choosing the right deployment model that aligns with your cloud strategy and overall requirements. This is essential to make sure that any data migration is both smooth and successful and delivers business value in terms of performance, security, and ROI.
So, have you decided to migrate your workloads to the cloud?
This process becomes a bit challenging, particularly when it comes to the migration of your business-critical applications. Calsoft eases the migration process by assisting you throughout the migration journey. Right from need assessment to cloud selection & management to testing and evaluation of the outcomes.
Calsoft has a track record of solving complex migrations, mitigating risks, easing complexities, automating, and implementing an optimally quick migration.
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Infrastructure Migration
CI-CD using Jenkins pipeline
To know more about how we can align our expertise to your requirements, reach out to us.
Application Migration
Migrate your business-critical application to the cloud seamlessly with our cloud application migration services. Modernize and re-engineer your applications while you accelerate their migration to the cloud using proven frameworks with us.
Data Migration
Take your data onto the cloud with our data migration services securely and with minimum business impact. Make data-driven decisions and gain intelligent business insights.
Microservices architecture for Identity Management application
To know more about how we can align our expertise to your requirements, reach out to us.
Containerization
Extend your legacy data centers into new container ecosystems, armed with the necessary tools to manage the platform. Our offerings include Microservices Implementation, VM to Containers Transition, Container Security, Orchestration & Service Chaining, Container Monitoring, and more.
Key Highlights
Calsoft was engaged with the client for P2V2C migration. Key hurdles were large data (64TB), scattered over multiple servers and complex dependency between applications and with legacy storage infrastructure.