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In this blog, we talk about architecture patterns to improve system resiliency, why observability matters, and how to build a holistic observability solution. As a refresher from previous blogs, our example ecommerce company’s “Shoppers” application runs in the cloud. Predictive scaling for EC2. Conclusion. Find out more.
In a previous blog post , I showed how quick detection is essential for low RTO, and I shared a serverless architecture to achieve this. For example, an ecommerce workload would look at order rates. Disaster Recovery (DR) Architecture on AWS, Part I: Strategies for Recovery in the Cloud. Related information.
Customers perceive technical problems differently, for example in an eCommerce scenario, they may say “Checkout Service is not working” or “I cannot complete my purchase” instead of “eCommerce database is down” or “router down preventing traffic to the eCommerce database pod”.
When you’re leveraging text and images for analysis and AI-powered applications, such as surfacing related products on ecommerce channels, you need storage that can seamlessly handle this often unwieldy unstructured data. Performance demands. Performance is critical across the entire AI and analytics spectrum.
For example, a targeted ransomware attack on an ecommerce site’s third-party payment portal wouldn’t need to trigger a system-wide recovery effort for the entire application and every database. What Sort of Data Needs to Be Recovered? First, assess your data storage environment’s risks and defenses against cyber threats.
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