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Infopulse - Expert Software Engineering, Infrastructure Management Services
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Infopulse - Expert Software Engineering, Infrastructure Management Services

Web Applications Cloudification

Cloudification can be fulfilled for different types of applications and in different strategies and approaches:

Legacy (on-premise) apps:

  • Rehosting or “lift-and-shift” – move app as-is to cloud infrastructure
  • Containerize apps – pack app into Docker container and host in a managed cloud environment
  • Replatforming – revise app setup and chose more beneficial products/hosting configuration
  • Refactoring / Re-architecting – review and re-implement business logic for cloud-native

New development:

  • Frontend systems, CMS and content delivery networks
  • Microservices mesh as a high-load scalable back-end for complex systems
  • API gateways and legacy adapters
  • Enterprise storages and integration (Databases, Service Bus)
  • Analytics and BI (Data Warehouse, Event Hub, Stream Analytics, Power BI)

Common features:

  • Scalability and high availability out of the box
  • CI/CD processes establishing for any cloud setup
  • Operational monitoring and alerting for infrastructure, services, and software (Azure Monitor)
  • Transparent billing process and reporting

Web applications challenges

Legacy challenges:

  • Expiration of datacenter contracts
  • Urgent capacity needs
  • Need to quickly integrate new acquisitions
  • Software and hardware refresh
  • Software End-of-Support
  • Security threats
  • Compliance
  • Application innovation

Cloud-native challenges:

  • Immutable API-driven infrastructure
  • Decoupled systems
  • Dynamic scaling
  • Continuous delivery
  • Monitoring and introspection
  • Fast development
  • Minimum time-to-market
  • Low operational effort

What we offer

We speak your language and have seasoned experts covering all technical stacks and business requirements:

Assessment & PoC

  • Business rules analysis
  • Architecture assessment
  • Cost analysis
  • Compatibility assessment
  • Building a PoC
  • Building Support within the Organization

Data & Application Migration

  • Leverage different storage options
  • Security checks
  • Data migration
  • “Lift and Shift” method
  • Hybrid Migration Strategy
  • New Installations

Cloud & Operations

  • Auto-scaling rules
  • CI/CD process setup
  • Upgrade and Fault domains
  • High Availability
  • Monitoring and alarms
  • Resource utilization
  • Efficiency tracking
  • Performance metrics

Migration Strategies

Selecting between 4 different approaches to building a proper migration strategy:

Migration Strategies - Infopulse - 1

Rehosting or “lift-and-shift”

The “Lift and shift” approach involves dropping the application into the cloud as-is.
“Lift and shift” can be implemented for many workloads, and cloud vendors are working to make it as easy as possible.

Application Containerization

  • Immutable API-driven infrastructure
  • Standardization and productivity
  • Rapid development & deployment
  • Multi-cloud platforms
  • Isolation and security
  • Efficient resources utilization
  • Decreased operational cost

Re-platforming

Re-platforming is similar to re-hosting applications in the cloud, but it requires some modification of the application to take advantage of the new cloud infrastructure.

Some common modifications are typically performed during re-platforming:

  • Changing the way how the program interacts with the DB to benefit from automation and elastic database infrastructure.
  • Enabling better scaling and leveraging reserved resources in the cloud environment with minimal changes to code.

Re-factoring / Re-architecting

Refactoring is the process of moving applications to cloud infrastructure while re-architecting them to suit the cloud environment better. This approach involves modifying existing software or a large chunk of the code base for it to benefit from cloud-based features as well as flexibility and elasticity that comes with them.

Examples of services that can be used during the refactoring approach:

  • Long-term storage (data lake, SQL DB)
  • Computation & integration (Logic apps, Data Factory)
  • Microservices (Kubernetes service)
  • Messaging (Event Hubs, Service Bus)
  • Services (API management)