Amazon Web Services (AWS) is a comprehensive public cloud platform offering on-demand compute, storage, networking, databases, analytics, AI/ML, security, and developer tooling. It lets you provision resources programmatically, pay only for what you use, and scale globally across Regions and Availability Zones.

How AWS Works #

AWS is organized into Regions (geographical areas) composed of multiple isolated Availability Zones (AZs). You deploy resources—such as Amazon EC2 virtual machines, Amazon S3 object storage, and Amazon VPC networks—within a Region/AZ. Identity and access are governed by AWS Identity and Access Management (IAM). Networking is based on VPCs, subnets, routing tables, security groups, and network ACLs. Most services expose APIs and SDKs for full automation.

Core Building Blocks #

• Compute: EC2, Auto Scaling, ECS/Fargate, EKS (Kubernetes), Lambda (serverless).
• Storage & Data: S3, EBS, EFS, FSx; RDS/Aurora, DynamoDB, ElastiCache.
• Networking: VPC, Elastic IP, Transit Gateway, Direct Connect, Route 53.
• Load Balancing & Edge: Elastic Load Balancing (ALB/NLB/GWLB), CloudFront, Global Accelerator.
• Security & Observability: IAM, KMS, Secrets Manager, CloudWatch, CloudTrail, Config.
• DevTools: CloudFormation, CDK, Systems Manager, CodeBuild/Deploy/Pipeline.

Typical Architecture Pattern #

1. Create a VPC with public and private subnets across at least two AZs.
2. Place application instances (EC2, containers, or EKS) in private subnets.
3. Expose traffic via a load balancer in public subnets with security groups.
4. Use managed databases (RDS/Aurora) and object storage (S3) for data.
5. Automate with IaC (CloudFormation/CDK/Terraform) and apply least-privilege IAM.

Reliability, Security, and Cost Model #

High availability is achieved by distributing workloads across AZs and using health checks, auto scaling, and multi-AZ databases. Security relies on IAM, encryption (KMS), network segmentation, and logging. Pricing is pay-as-you-go with options like Savings Plans and Reserved Instances for predictable workloads.

Why Deploy RELIANOID Load Balancer on AWS? #

Deploying RELIANOID on AWS gives you a cloud-agnostic, high-performance L4/L7 application delivery layer that you fully control. You can run RELIANOID as EC2 instances in multiple AZs behind an AWS Network Load Balancer or Elastic IPs to:

• Enhance performance: Advanced proxying with HTTP/2 and smart connection management to reduce latency and CPU overhead for backends.
• Increase resilience: Active-active or active-standby pairs across AZs with health checks and hot restart to minimize disruption during changes.
• Strengthen security: Centralize TLS termination, enforce mTLS, implement WAF-adjacent policies, and segment east-west traffic within the VPC.
• Unify control: Consistent policies and observability across hybrid/multi-cloud, independent of native AWS ALB/NLB feature cycles.
• Automate: Provision via IaC, bootstrap with cloud-init, and integrate with CI/CD for repeatable, auditable deployments.

This approach is ideal when you need advanced traffic policies, protocol control, or consistent behavior across multiple clouds and on-premises.

Resources #

Deploy RELIANOID Enterprise Edition on AWS
Deploy RELIANOID Community Edition on AWS