Migrating your Analytics Solutions to Azure Cloud
Migrating Analytics applications to the Cloud has not been a straightforward exercise so far. Doing it efficiently and effectively requires an understanding of the optimal Cloud architecture and topology supporting your Analytics applications.
Before migrating your Analytics application to the Azure Cloud, many choices are to be made. For instance, to include Azure PaaS services like HDInsight, Machine Learning, Data Lake Analytics, Stream Analytics, and others. All in order to optimize the overall application performance for tasks such as:
And obtain an Analytics application stack meeting your demands
Solution:
MaaS facilitates this migration journey from assessment up to migration in order to grasp the Azure benefits. And it guides you in every step of the decision-making process and final migration.
Solution Overview:
Application Analysis with PaaS Integration
MaaS helps you to explore various application re-architecting options for your Azure deployment which includes PaaS services integration.
Cost Modeling
MaaS enables you to model the cost for multiple deployment scenarios and topology options including PaaS services.
Explore Different What-If Scenarios
Using MaaS, you can develop different Cloud migration scenarios and analyze your Analytics application without disturbing its work environment (on-premises or datacenter).
Smart Migration
MaaS migrates the Analytics application to Azure Cloud with the ability to integrate PaaS services by replacing relevant workloads.
Data Security & Integrity
MaaS provides a safe and secure agentless scanning mode to scan protected environments. Data gathered from scanning the servers are encrypted using strong encryption methods. Data migration is secured with SSH (Linux) and SMB (Windows) protocols.
Conclusion:
Using MaaS, the time required to migrate an Analytics application to Azure Cloud is reduced substantially with its automated Cloud migration techniques.