AWS and Designing Performance Efficiency in the Cloud

In the AWS Well-Architected Framework, five pillars include operational excellence, security, reliability, performance efficiency, and cost optimisation. Performance efficiency refers to using computing resources efficiently in a cloud-based system.

Design Principles
There are five design principles for performance efficiency in the cloud.

1. Democratise advanced technology
Complex tasks assigned to your cloud vendor make adapting to technology easier on your company. Services such as machine learning and media transcoding are consumed in the cloud, rather than having a workforce team carry out these tasks.
2. Go global in minutes
Since there are various AWS regions worldwide, making your workload accessible anywhere, there is lower latency and better customer experience.
3. Use serverless architectures
As the name suggests, this technology removes the need for a physical server that must be maintained. Additionally, transaction costs are lower when services are managed in the cloud, optimising efficiency.
4. Experiment more often
With virtual and automated services, it’s easy and cost-effective to complete tests of different instances, storage, and configurations.
5. Consider mechanical sympathy
Make time to understand how cloud technology functions and choose the service that makes the most sense for your goals.

Best Practices
There are four areas of best practice when discussing performance efficiency in the cloud. These are selection, review, monitoring, and tradeoffs. Selecting the best solution for your workload is essential to maximising effectiveness and minimising your costs.

Since the AWS cloud is ever-evolving, it is a good idea to review these selections regularly. Gauging how well your solutions are working based on the data available allows you to make changes whenever objectives aren’t met.

Monitoring your workload is critical to identifying an issue before it impacts your customers. Amazon CloudWatch is a monitoring service that allows you to track your workload and get a comprehensive overview of the system. Quick response times keep systems running smoothly.

When maximising your workload, consider making tradeoffs. You might trade durability or consistency for latency, depending on the target. A tradeoff increases efficiency in one area by giving a little in an area that is already performing at its best.

Work With a Leading Partner
WOLK is proud to be a leading partner of the AWS Well-Architected program and is certified to provide reviews of cloud-based systems. An appraisal is a good idea when looking to identify where your performance deficiencies lie. An inspection will get you started on making the right adjustments to get your five pillars in alignment.

Cloud Reliability: The Five AWS Design Principles

The third pillar of the AWS Well-Architected Framework is reliability. It deals with ensuring that your workloads and applications produce the same results every time.

Using the five design principles of the reliability pillar, you can create workloads and applications that are reliable for their entire lifecycle.

Automatically Recover From Failure
Automation is a vital element in the reliability pillar. Set up systems that monitor for Key Performance Indicators (KPIs) of your business values. When one of the KPIs reads too low or too high, your monitoring system should automatically notify you and continue tracking the problem.

You can also set up automatic recovery systems that your monitoring systems trigger when there’s a problem.

To prepare as much as possible for failure, you can set up systems that track trends, meaning they can predict future problems.

Test Recovery Procedures
Just as you test your workload’s operating procedures, you should also evaluate its recovery methods. While working the cloud, use automation to cause a failure in your workload and observe how well the recovery systems and procedures work.

It’s also possible to use automation to recreate past failures. If you’re unsure of exactly where a failure occurred, a recreation can help you determine causes and ensure it doesn’t happen again.

Scale Horizontally
Instead of using one large workload, consider breaking it up into several smaller resources. If a failure occurs in an overarching workload, you might have to shut down your entire system for the repair.

Ensure you spread out your requests across the smaller resources so they don’t share a common failure.

Don’t Guess Capacity
Don’t just assume that your workload can handle the demands you place on it. One of the most common reasons that a workload fails is due to resource saturation.

Use AWS tools to monitor the demands placed on your workload and its saturation level. Create systems that automatically reduce demands when your workload approaches saturation.

Manage Change
Use automatic systems to change your workload. Automation removes human error, reducing your risk.

Changes made to automatic systems should be tracked and reviewed, preferably by another automated system.

Work with an AWS Well-Architected Partner
To ensure you are compliant with all five design principles of the reliability pillar, consider working with an experienced AWS Partner. The WOLK team stays up-to-date with the current design principles and best practices of the AWS Well-Architected Framework.

After performing a Well-Architected Review, we can identify any non-compliance issues and mitigate them for you.