Pick AWS services wisely. Use of Lambda functions; arm64 architecture (AWS Graviton2 processor) versus the x86_64 architecture
Lambda
functions that use arm64 architecture (AWS Graviton2 processor) can achieve
significantly better price and performance than the equivalent function running
on x86_64 architecture. Consider using arm64 for compute-intensive applications
such as high-performance computing, video encoding, and simulation workloads.
Comparison of Architectures:
For
compute-intensive applications such as high-performance computing, video
encoding, and simulation workloads, Graviton2 (arm64) is the recommended
solution due to its superior price/performance ratio. However, for
general-purpose computing, legacy applications, and development environments
that rely heavily on x86_64 optimizations and compatibility, the x86_64
architecture remains suitable.
Switching
to Graviton2 requires careful consideration of compatibility and potential
modifications to the application stack, but the benefits in terms of cost and
performance for compute-intensive tasks make it a compelling option for those
specific use cases.
1. Performance:
- Graviton2 (arm64): AWS Graviton2 processors are designed to deliver
significant performance improvements and are optimized for various
compute-intensive tasks. They provide better performance per dollar compared to
x86_64 for certain workloads.
- x86_64: This architecture has been the standard for a long time and is
widely supported. It performs well across a broad range of applications, but it
may not match the price/performance ratio of arm64 for specific workloads.
2. Cost:
- Graviton2 (arm64): Generally offers lower costs due to the efficiency
of the architecture. AWS pricing models typically show Graviton2 instances to
be less expensive than their x86_64 counterparts.
- x86_64: Typically more expensive compared to Graviton2 for equivalent
performance, especially for compute-intensive tasks.
3. Compatibility:
- Graviton2 (arm64): May require some modifications to existing
applications, particularly those with dependencies or binaries specifically
built for x86_64.
- x86_64: Broad compatibility with most software, libraries, and
development tools.
Proposed Solutions for Each Architecture
Graviton2
(arm64):
-
High-Performance Computing (HPC): Ideal for workloads that demand high
computational power. Graviton2 provides excellent performance and
cost-efficiency for tasks like scientific simulations, data analysis, and
complex mathematical computations.
- Video
Encoding: Tasks such as transcoding, which are CPU-intensive, can benefit
significantly from the enhanced performance of Graviton2. The improved
efficiency can lead to faster processing times and reduced costs.
-
Simulation Workloads: Applications like gaming simulations, physics
simulations, and other computational models can leverage the better
price/performance ratio of Graviton2.
x86_64:
-
General-Purpose Computing: For applications that require broad compatibility
and do not specifically benefit from the enhanced computational efficiency of
Graviton2, x86_64 remains a robust choice.
- Legacy
Applications: Applications that are tightly coupled with x86_64 architecture,
including those using specific binaries or libraries not available on arm64,
should remain on x86_64 to avoid compatibility issues.
-
Development and Testing: Environments where developers use tools that are
primarily optimized for x86_64 architecture may benefit from sticking with this
architecture to ensure seamless development workflows.
#softwarearchitechture
#aws
Additional resources:
What Is
AWS Graviton? Here’s When To Use It https://www.cloudzero.com/blog/aws-graviton/
Lambda
function :
https://docs.aws.amazon.com/lambda/latest/dg/foundation-arch.html
https://www.bmc.com/blogs/aws-lambda/
Comments
Post a Comment