Reliability is a system's ability to consistently perform its intended functions within the defined conditions and maintain uninterrupted service. Best practices for reliability include redundancy, fault-tolerant design, monitoring, and automated recovery processes.
As a part of reliability, resilience is the system's ability to withstand and recover from failures or unexpected disruptions, while maintaining performance. Google Cloud features, like multi-regional deployments, automated backups, and disaster recovery solutions, can help you improve your system's resilience.
Reliability is important to your cloud strategy for many reasons, including the following:
Minimal downtime: Downtime can lead to lost revenue, decreased productivity, and damage to reputation. Resilient architectures can help ensure that systems can continue to function during failures or recover efficiently from failures.
Enhanced user experience: Users expect seamless interactions with technology. Resilient systems can help maintain consistent performance and availability, and they provide reliable service even during high demand or unexpected issues.
Data integrity: Failures can cause data loss or data corruption. Resilient systems implement mechanisms such as backups, redundancy, and replication to protect data and ensure that it remains accurate and accessible.
Business continuity: Your business relies on technology for critical operations. Resilient architectures can help ensure continuity after a catastrophic failure, which enables business functions to continue without significant interruptions and supports a swift recovery.
Compliance: Many industries have regulatory requirements for system availability and data protection. Resilient architectures can help you to meet these standards by ensuring systems remain operational and secure.
Lower long-term costs: Resilient architectures require upfront investment, but resiliency can help to reduce costs over time by preventing expensive downtime, avoiding reactive fixes, and enabling more efficient resource use.
Core principles
The recommendations in the reliability pillar of the Well-Architected Framework are mapped to the following core principles:
Define reliability based on user-experience goals
Set realistic targets for reliability
Build highly available systems through resource redundancy
Take advantage of horizontal scalability
Detect potential failures by using observability
Design for graceful degradation
Perform testing for recovery from failures
Perform testing for recovery from data loss
Conduct thorough postmortems
references:
https://cloud.google.com/architecture/framework/reliability
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