Compute & Serverless (Amazon EC2, ECS, EKS, AWS Lambda)
Organizations need scalable compute resources to run applications globally, handle variable traffic, and minimize operational overhead. Traditional on-prem servers often can’t scale dynamically or require lengthy procurement cycles.
Inefficient Scaling:
Spinning up physical servers for peak loads is costly and slow
Overprovisioning:
Paying for unused capacity in non-peak periods.
Operational Complexity:
Managing OS patches, capacity planning, and HPC setups in-house is cumbersome.
Relevant AWS Solutions
Amazon EC2: Flexible virtual servers in the cloud with broad instance families (general purpose, compute-optimized, GPU-enabled).
Amazon ECS/EKS: Container orchestration platforms for Docker containers or Kubernetes clusters.
AWS Lambda: Serverless compute for event-driven architectures, eliminating server management.
AWS Fargate: Serverless container service removing the need to manage EC2 instances.
Detailed Use Case
A global media streaming company experiences high spikes in user traffic during new content releases. They want an on-demand compute model, plus cost optimization during off-peak hours.
EC2 Autoscaling
Dhanyaayai configures custom AMIs and autoscaling policies that automatically add or remove instances based on CPU/memory usage.
Containerization
The media service is containerized on Amazon EKS, making it easier to roll out new features or scale microservices.
Serverless Components
Some microservices become event-driven Lambdas—for example, real-time content transcoding triggered by new uploads.
Monitoring & Optimization
Tools like Amazon CloudWatch and AWS Cost Explorer guide continuous cost improvements, ensuring the platform remains robust yet efficient.
Why Choose Dhanyaayai
Key Benefits
Elastic Scalability
Seamlessly handle peak loads, pay only for actual usage.
Faster Time-to-Market
Spin up environments quickly and deploy microservices rapidly.
Reduced Operational Burden
Fewer servers to manage with containers or serverless patterns.
Optimized Costs
Scale down in off-peak hours, better overall resource utilization.
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