- Distributing Load and Volume with Auto-Scaling and Load Balancing
- Enabling Automatic Failovers for High Availability
- Facilitating Controlled Deployments with Rollback Strategies
- Providing Chaos Engineering Capabilities for Resilience Testing
- Assisting in Incident Response with Automation
- Ensuring Proper Configuration Management
- Leveraging Immutable Infrastructure as a Service
- Practicing Disaster Recovery Frequently
- Case Study
- Summary
- Q&A
This chapter is from the book
This chapter is from the book
This chapter is from the book
Case Study
To illustrate how to proactively check if your applications and infrastructure are resilient and then optimize them if necessary, let’s review a hypothetical case of using AWS FIS, described previously in the chapter, for productively testing applications and infrastructure by injecting faults and disruptions into a cloud environment. Consider Pearl of the Nile, a fictional, successful e-commerce company that relies heavily on its online platform to generate revenue. The company’s website, mobile application, and backend services run on AWS, serving millions of customers daily. Ensuring the reliability and resilience of its digital infrastructure is critical to maintaining customer trust and revenue.
Pearl of the Nile faces several challenges related to ensuring the resilience of its systems.
It needs to identify vulnerabilities and weaknesses in its architecture before they lead to costly outages.
It wants to implement chaos engineering practices to proactively test its infrastructure’s resilience.
It is looking for a tool to simulate real-world incidents to understand how its systems respond to failures gracefully.
To address these challenges, Pearl of the Nile implements a five-step process.
Step 1. Identifying critical scenarios: Pearl of the Nile collaborates with its DevOps and site reliability engineering (SRE) teams to identify critical scenarios that could lead to service disruptions or performance degradation. These scenarios include unavailability of an AWS AZ; network latency between services; resource exhaustion, such as CPU or memory, on critical instances; and failures in third-party service integrations.
Step 2. Creating fault injection experiments: Using AWS FIS, Pearl of the Nile creates a series of fault injection experiments to simulate these critical scenarios in a controlled manner. For example, it configures an experiment to randomly disrupt network connectivity between two microservices to mimic network issues. Another experiment simulates an AWS AZ failure by shutting down resources in one of the AZs.
Step 3. Executing experiments: Pearl of the Nile schedules these experiments during off-peak hours to minimize customer impact. The company starts with less-critical experiments and gradually increases complexity and severity as it gains confidence in its systems’ resilience.
Step 4. Monitoring and learning: During each experiment, Pearl of the Nile closely monitors the behavior of its systems using AWS CloudWatch, AWS X-Ray, and other monitoring tools. For example, the company analyzes how its systems respond to the injected faults, looking for unexpected failures, performance bottlenecks, or areas where the system can be further optimized. The teams also gather data on incident response times and how effectively automated recovery mechanisms kick in.
Step 5. Continuous improvement: Based on the results of each experiment, Pearl of the Nile iteratively improves its infrastructure and application resilience. In addition, the teams refine their incident response procedures, enhance resource allocation strategies, and optimize configurations to ensure graceful degradation under failure conditions.
By using AWS FIS, Pearl of the Nile achieves the following outcomes: increased confidence in the resilience of its systems, proactive identification and mitigation of vulnerabilities and weaknesses, improved incident response and recovery times, enhanced customer trust, and reduced revenue loss due to unplanned outages.
