AWS Fargate
Container management software
DevOps software
Containerization software
- Features
- Ease of use
- Ease of management
- Quality of support
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What is AWS Fargate
AWS Fargate is a serverless compute option for running containers without managing underlying virtual machines. It is used by teams deploying containerized applications on Amazon ECS or Amazon EKS for tasks such as microservices, batch jobs, and API backends. Fargate provisions and scales compute per task or pod and integrates with AWS networking, IAM, logging, and monitoring services. It is typically selected when organizations want container orchestration with reduced infrastructure operations within the AWS ecosystem.
No server management required
Fargate removes the need to provision, patch, and scale worker nodes for container workloads. Teams define task or pod requirements and AWS manages capacity placement and lifecycle. This reduces operational overhead compared with self-managed clusters and node groups. It can be useful for organizations that want to standardize on managed execution while keeping container packaging and orchestration patterns.
Deep AWS service integration
Fargate integrates with IAM for task roles, VPC networking, security groups, and AWS-native observability options such as CloudWatch. It also supports common AWS deployment patterns through ECS/EKS tooling and related services. This tight integration simplifies governance and access control when the rest of the stack is already on AWS. It can reduce the amount of third-party infrastructure required for production operations.
Per-task scaling model
Fargate allocates CPU and memory at the task (ECS) or pod (EKS) level rather than at the node level. This can improve resource alignment for spiky or variable workloads and supports rapid scale-out without pre-provisioning nodes. It also enables running heterogeneous workloads without managing multiple node pools. The model is well-suited to event-driven services and short-lived jobs.
AWS ecosystem dependency
Fargate is designed to run with Amazon ECS or Amazon EKS and relies on AWS-specific identity, networking, and operational services. This can increase switching costs for organizations pursuing multi-cloud portability or standardized tooling across providers. Architecture and operational practices often become AWS-centric over time. Teams may need additional abstraction layers to keep deployments portable.
Less infrastructure control
Because AWS manages the underlying compute, teams have limited control over host-level configuration, kernel settings, and certain networking or storage behaviors. This can be a constraint for specialized workloads that require custom agents, privileged access, or specific host tuning. Some troubleshooting scenarios are also harder without node access. Organizations with strict infrastructure requirements may prefer managed nodes or self-managed clusters.
Cost predictability trade-offs
Pricing is based on allocated vCPU and memory per running task or pod, which can be less cost-efficient for steady, high-utilization workloads compared with reserved or optimized node-based capacity. Costs can also increase if tasks over-request resources to avoid throttling. Budgeting requires careful right-sizing and monitoring of task definitions. Organizations often need governance controls to prevent resource sprawl.
Plan & Pricing
Pricing model: Pay-as-you-go (usage-based) Regional note: Prices vary by AWS Region; the numbers below are the example prices shown for US East (N. Virginia) on the official AWS Fargate pricing page.
On-demand (example - US East (N. Virginia))
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Linux / x86:
- vCPU: $0.000011244 per vCPU-second
- Memory: $0.000001235 per GB-second
- Ephemeral storage (additional over included 20 GB): $0.0000000308 per GB-second
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Linux / ARM (Graviton):
- vCPU: $0.0000089944 per vCPU-second
- Memory: $0.0000009889 per GB-second
- Ephemeral storage: $0.0000000308 per GB-second
-
Windows / x86 (ECS only):
- vCPU: $0.0000254167 per vCPU-second
- Windows OS license: $0.0000127778 per vCPU-second (built into Fargate pricing)
- Memory: $0.0000027778 per GB-second
Billing & minimums
- Billed per second (rounded up) from image pull start until task/pod termination; 1-minute minimum for Linux workloads; 5-minute minimum for Windows containers.
Discounts & alternative pricing
- Fargate Spot: run interruptible tasks at discounted Spot prices (up to ~70% off on-demand when available).
- Compute Savings Plans / Savings options: Savings Plans can provide up to ~50% savings for a 1- or 3-year commitment.
Other notes
- 20 GB ephemeral storage included by default; you pay only for additional ephemeral storage configured.
- Additional AWS service usage (e.g., CloudWatch Logs, data transfer, public IPv4 addresses) may incur separate charges.
example prices)
Seller details
Amazon Web Services, Inc.
Seattle, Washington, USA
2006
Subsidiary
https://aws.amazon.com/
https://x.com/awscloud
https://www.linkedin.com/company/amazon-web-services/
