Quinnox Implemented Qinfinite's Chaos Engineering to Help A Bottling Manufacturer Reduce System Failures by 70%

Step 1: Discovery and Assessment

• Conduct a comprehensive assessment of the bottling plant’s systems and processes to understand the critical components and potential failure points.
• Configured Qinfinite Auto Discovery to gather information in the Applications and hardware systems.
• Generated Knowledge Graph that provides the topology visualization of the Systems and the associated business processes.

Step 2: Experiment Design Workshop

• Organize a dedicated workshop with the plant’s stakeholders, including engineers, operations managers, and quality assurance teams.
• Facilitate brainstorming sessions to identify realistic failure scenarios that align with the bottling plant’s unique challenges and operational context with the aid of Knowledge Graph.

Step 3: Chaos Scenario Modeling

• Utilize Qinfinite’s advanced modeling capabilities to create detailed chaos scenarios based on the identified failure modes.
• Model various failure injection techniques tailored to the bottling plant’s infrastructure and application architecture, such as network congestion, database errors, or equipment malfunctions, API response delay, cache failures, etc.

Step 4: Experiment Execution

• Collaborate with the IT team to implement the chaos experiments in a controlled and safe manner, ensuring minimal disruption to ongoing production.
• Utilize Qinfinite’s intuitive user interface to define and schedule chaos experiments based on specific time frames and desired impact areas.

Step 5: Real-Time Monitoring and Analysis

• Employ Qinfinite’s real-time monitoring tools to capture critical metrics, performance data, and system behavior during the chaos experiments.
• Leverage automated anomaly detection and threshold-based alerts to identify abnormal system responses and potential failure points quickly.

Step 6: Data Analysis and Reporting

• Analyze the collected data using Qinfinite’s advanced analytics engine, uncovering hidden patterns, dependencies, and weaknesses within the bottling plant’s systems.
• Generate comprehensive reports with actionable insights, providing clear system improvements and optimization recommendations.

Step 7: Iterative Optimization

• Collaborate with the plant’s engineering team to implement the recommended improvements based on the analysis and insights provided by Qinfinite.
• Leverage Qinfinite’s continuous improvement framework to iterate and refine chaos experiments, ensuring ongoing resilience and system enhancement.

Step 8: Training and Knowledge Transfer

• Conduct training sessions and workshops to educate the plant’s teams on chaos engineering best practices, utilizing Qinfinite’s expertise and industry knowledge.
• Foster a culture of resilience and continuous improvement by empowering the plant’s personnel with the skills and tools necessary for ongoing chaos engineering practices.