TELCOCOST03-BP01 Use edge-zones and services to implement cloud workloads made up of containers and microservices
Telecom companies can take advantage of the cloud's ability to replicate resources across Availability Zones (AZs) within the same Region to reduce data transfer costs. When launching infrastructure, telecoms should distribute workloads across multiple Availability Zones but use transit gateways to interconnect them. This allows for high availability without paying for data transfer between Availability Zones, since this is free.
Desired outcome:
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Reduce data transfer costs by minimizing traffic between regional and edge locations.
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Improve application performance and user experience by serving content from the network edge.
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Achieve high availability and fault tolerance through distributed, microservices-based architectures.
Common anti-patterns:
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Monolithic application architectures with centralized data and processing.
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Lack of edge computing capabilities to bring services closer to users.
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Inefficient communication patterns between distributed components, leading to high data transfer costs.
Benefits of establishing this best practice:
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Significant reduction in data transfer costs by utilizing edge locations and private connectivity.
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Enhanced application performance and responsiveness through edge-based processing and content delivery.
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Improved resilience and fault tolerance through a distributed, microservices-based design.
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Increased agility in scaling and deploying new features and services.
Level of risk exposed if this best practice is not established: High
Implementation guidance
Adopting a cloud-based, microservices-based architecture and using edge computing capabilities can be highly effective in optimizing data transfer costs for your telco workloads. By distributing your application components across multiple Availability Zones and edge locations, you can reduce the need for data to traverse long distances across the network, thereby minimizing data transfer charges.
AWS services like Amazon ECS, Amazon EKS, AWS PrivateLink, and AWS Global Accelerator can assist you to implement this approach. By using these services, you can deploy your containerized microservices in a distributed manner, use private connectivity between them to avoid public data transfers, and route user traffic to the closest edge location, further reducing data transfer costs.
Implementation steps
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Design your application architecture using a microservices approach with containers.
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Deploy your containerized microservices across multiple Availability Zones within an AWS Region using Amazon ECS or Amazon EKS.
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Use AWS PrivateLink to enable private connectivity between your microservices without incurring data transfer costs.
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Use AWS Global Accelerator to route user traffic to the closest edge location, minimizing latency and data transfer costs.
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Implement service discovery using AWS Cloud Map to enable efficient communication between microservices.
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Monitor your application's traffic patterns and adjust your edge and regional deployment strategy to optimize data transfer costs.
Resources
Key AWS services:
