When an SRE engineer talks about system ‘reliability’, what they’re really talking about is the cloud architecture, the infrastructure which delivers consistent and predictable performance for users and customers.
Why would you want a reliable SRE?
A reliable structure is typically one that is stable, has repeat performance ability and is aligned with customer expectations. Having inbuilt reliability measures ensures that, no matter what changes in your software architecture, the performance remains of the same or better value.
How does a reliable SRE work?
The ‘reliability’ works by testing various ‘versions’ of your software, saving backups and having procedures in place that can handle your customers in the event of any sudden spikes or emergencies.
To achieve this haven of design performance, the SRE architecture must be built with the user’s ideal, and not so ideal, traffic in mind. How large and how often will customers be engaging with the product? What are the user’s scaling needs? These questions need to be answered to advance any SRE framework.
What’s the value of a reliable SRE system?
A reliable SRE system should provide:
- An evaluation of the cloud service providers regarding performance, availability, scalability and capability, and the cloud’s technical architecture.
- An answer as to whether it is possible to design a reliable architecture within the software you use. This should be an architecture that optimises performance, load balancing, fault tolerance and scalability.
- An answer as to whether anyone has tested the reliability of the cloud structure, including load, performance and stress testing?
- A system of constant improvement that can be worked into the cloud’s architecture based on any findings or feedback given by the customers.
Main advantages of reliability in SRE
- Forecasted workflow
- Improved relations with the development team
- The potential to scale
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