Deploy serverless containers with AWS Fargate and eliminate server management entirely. Our expert team provisions Fargate tasks on ECS and EKS, implements task-level auto-scaling based on CloudWatch metrics, configures Fargate Spot for up to 70% cost savings, and ensures security isolation with task-specific IAM roles and VPC networking.
From microservices to batch processing workloads, we architect Fargate deployments that scale automatically, reduce operational overhead, and optimize costs. Our Fargate expertise includes ECS task definitions with CPU and memory optimization, EKS pod scheduling on Fargate profiles, integration with ECR for container registry, Application Load Balancer for traffic distribution, and comprehensive monitoring with Container Insights and CloudWatch.
Run containers without managing servers or clusters. Fargate provisions compute resources automatically based on task definitions, eliminates EC2 instance management, patching, and scaling decisions. Focus on applications while AWS handles infrastructure, capacity planning, and server provisioning.
Eliminate cluster management, node provisioning, and capacity planning. Fargate removes the need for EC2 instance selection, AMI updates, security patching, and operating system maintenance. Deploy containers directly with task definitions and let AWS handle all underlying infrastructure automatically.
Scale containers independently based on CloudWatch metrics like CPU, memory, request count, or custom metrics. Implement target tracking scaling policies, scheduled scaling for predictable traffic patterns, and step scaling for complex rules. Each task scales independently without impacting other services.
Save up to 70% on compute costs with Fargate Spot for fault-tolerant workloads. Mix Fargate and Fargate Spot capacity providers with capacity provider strategies, implement automatic task distribution across spot and on-demand, and handle interruptions gracefully with termination notices and checkpointing.
Deploy Fargate tasks on both ECS for AWS-native orchestration and EKS for Kubernetes workloads. Configure ECS task definitions with Fargate launch type, create EKS Fargate profiles for namespace-based pod scheduling, implement service discovery with Cloud Map or Kubernetes DNS, and use Application Load Balancer for traffic routing.
Every Fargate task runs in its own isolated kernel with dedicated compute resources. Configure task-specific IAM roles for AWS service access, VPC networking with security groups and network ACLs, secrets management with Secrets Manager or Parameter Store, and encryption at rest and in transit with AWS KMS.
Choose the engagement model that works best for your Fargate deployment needs
Fargate is serverless container orchestration where AWS manages the underlying compute infrastructure automatically. You specify CPU and memory requirements, and Fargate provisions resources without managing EC2 instances, clusters, or capacity planning. EC2 launch type requires managing EC2 instances, patching, scaling, and cluster capacity. Choose Fargate for simplified operations and pay-per-task pricing, or EC2 for more control, custom instance types, or cost optimization with reserved instances.
Fargate charges per vCPU and memory resources allocated to tasks, calculated per second with a one-minute minimum. You pay only for the time tasks run, not for idle capacity. Pricing varies by CPU and memory configuration, region, and platform version. Fargate Spot offers up to 70% savings for fault-tolerant workloads. There are no upfront costs or minimum fees. Cost optimization strategies include right-sizing tasks, using ARM architecture, Fargate Spot for batch jobs, and automatic scaling to match demand.
Fargate Spot runs tasks on spare AWS capacity at up to 70% discount compared to regular Fargate pricing. Tasks can be interrupted with a two-minute termination notice when AWS needs capacity back. Use Fargate Spot for fault-tolerant workloads like batch processing, data analysis, CI/CD jobs, and background tasks that can handle interruptions gracefully. Mix Spot and on-demand capacity with capacity providers for reliability. Not recommended for production APIs, real-time processing, or stateful applications without checkpointing.
Fargate has maximum limits of 16 vCPU and 120GB memory per task, 200GB ephemeral storage, and platform version dependencies for features. Tasks run on shared infrastructure without host-level access, so privileged containers, custom kernels, and GPU workloads require EC2 launch type. Fargate supports only awsvpc network mode with one ENI per task. Windows containers have limited support. For persistent storage, use EFS integration. Startup time is slightly higher than EC2 due to resource provisioning. These limitations make EC2 better for high-performance computing, GPU workloads, and specialized configurations.
Complete AWS cloud infrastructure and DevOps automation services
Container orchestration with task definitions and service management
Managed Kubernetes with Fargate profiles and node groups
Serverless functions and event-driven architecture
Eliminate server management and focus on applications with AWS Fargate
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