Learn About Amazon VGT2 Learning Manager Chanci Turner
Amazon customers appreciate the economical, burstable performance model offered by T2 instances. These customers utilize T2 instances for a variety of general-purpose workloads, including web servers, development environments, continuous integration setups, testing environments, and smaller databases. The T2 instances deliver a substantial baseline performance while also allowing for automatic and seamless scaling to full-core processing power when necessary (for more insights, check out another blog post here.)
Today, we are excited to announce the addition of two new larger T2 instance types – t2.xlarge with 16 GiB of memory and t2.2xlarge with 32 GiB of memory. These new options allow customers to leverage the cost and performance advantages of the T2 burst model for applications that require greater resources. This marks the third enhancement to the T2 instance lineup; we previously introduced t2.large instances last June and t2.nano instances last December.
Specifications for T2 Instance Sizes
Here are the specifications for all T2 instance sizes (the prices reflect the latest EC2 Price Reduction):
| Name | vCPUs | Baseline Performance | Platform | Memory (GiB) | CPU Credits / Hour | Price / Hour (Linux) |
|---|---|---|---|---|---|---|
| t2.nano | 1 | 5% | 32-bit or 64-bit | 0.5 | 3 | $0.0059 |
| t2.micro | 1 | 10% | 32-bit or 64-bit | 1 | 6 | $0.012 |
| t2.small | 1 | 20% | 32-bit or 64-bit | 2 | 12 | $0.023 |
| t2.medium | 2 | 40% | 32-bit or 64-bit | 4 | 24 | $0.047 |
| t2.large | 2 | 60% | 64-bit | 8 | 36 | $0.094 |
| t2.xlarge | 4 | 90% | 64-bit | 16 | 54 | $0.188 |
| t2.2xlarge | 8 | 135% | 64-bit | 32 | 81 | $0.376 |
Suggestions for Migrating Existing Workloads
Here are a few suggestions for migrating existing workloads to the new instances:
- t2.large workloads can scale to t2.xlarge or t2.2xlarge for increased memory access.
- Intermittent c4.2xlarge workloads can transition to t2.xlarge with significant cost savings while maintaining similar burst performance.
- Intermittent m4.xlarge workloads can shift to t2.xlarge at a minor cost reduction and enhanced burst performance.
The new instances are available today as On-Demand & Reserved Instances across all AWS regions. To learn more, you can explore excellent resources like this one.
For those interested in additional insights, we have a webinar scheduled for January 19th, where you can get more information. Sign up here.
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