Regardless of cloud provider, our migration services aim to accelerate your IT transformation, while controlling and predicting ongoing cloud costs. Here we prepare cloud targets, execute workload migration, establish common architecture (merging legacy and modern cloud), and ensure ongoing transformation budgets are respected.
With this process, any app can migrate to the cloud quickly with the readiness to take full advantage of valuable cloud capabilities.
Reduce non-production operating costs by 76%!
(IDC Sept 2021)
Through these steps, we efficiently move apps to the cloud and prepare them to make the best use of cloud capabilities.
Expose your apps though a load balancer to be accessed in the cloud without exposing servers directly to the internet.
Distribute apps across multiple cloud servers to be resilient when cloud servers fail
Readiness for deployment strategy without cloud server failures or maintenance
Automatically detect and resolve problems in the cloud
Once self healing is achieved, it makes a containerized solution easy because you are able to create and destroy containers.
Without loading an operating system when starting machines, frequent changes to apps can now start to be achieved.
Validate that code can run as container, or if app needs to be refactored and what needs to be changed.
Use Kubernetes to manage when added capacity or additional load is needed to sustain and scale high velocity micro services.
Take microservices, do all testing, validation, add security gates to put into production with confidence that every deployment will be successful.
Idle resources contribute to 76% of operating costs in non-prod
With Continuous Deployment achieved, destruction of Idle resources can now be built into the deployment pipeline because there is confidence that things work (through testing, validation and security gates). This enables powerful SSDLC capabilities and ESG outcomes.
Automatically destroy idle resources so previous stages in the deployment pipeline aren’t consuming money and energy.
Create a dynamic pipeline that is able the merge forward when stages are successful, and revert back when stages fail. No need to restart the entire pipeline.
