Prepare and protect your applications from disruptions
Reliability of a workload in the cloud depends on several factors, the primary of which is Resiliency:
- Resiliency is the ability of a workload to recover from infrastructure or service disruptions, dynamically acquire computing resources to meet demand, and mitigate disruptions, such as misconfigurations or transient network issues.
The other factors impacting workload reliability are:
- Operational Excellence, which includes automation of changes, use of playbooks to respond to failures, and Operational Readiness Reviews (ORRs) to confirm that applications are ready for production operations.
- Security, which includes preventing harm to data or infrastructure from malicious actors, which would impact availability. For example, encrypt backups to ensure that data is secure.
- Performance Efficiency, which includes designing for maximum request rates and minimizing latencies for your workload.
- Cost Optimization, which includes trade-offs such as whether to spend more on EC2 instances to achieve static stability, or to rely on automatic scaling when more capacity is needed.
Speak to us and find out more.
Our Partnership with AWS
Other resources
Beyond IT: Here’s how AWS Managed Security Service can help you harness business value
Get the most out of your cloud investments with AMS
Creating a resilient and high-performing infrastructure for your cloud workloads
How automation can help secure your cloud investments
Are complexities slowing down your cloud journey? Here’s how AMS can help
Case study: Migrate to Cloud with Global Logistics Company
Case study: Enables SOC2 Compliant Infrastructure for Zendesk
