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


About the Client:

One of the largest and most complicated bottling and distribution operations in world with 54 brands, 1.7 million customers and 33000 employees running mission critical operations in diverse multivendor environment

The Client’s Challenges:

  • The bottling manufacturer experienced increased system failures in their Supply Chain Management System during peak production periods, leading to production delays, customer dissatisfaction, and revenue loss.
  • Their supply chain management system consists of various discrete systems including ERP, home grown application, SaaS and B2B systems.
  • They faced difficulties identifying the root causes of these failures and optimizing system performance to ensure uninterrupted production.

Qinfinite Chaos Engineering Solution:

  • The bottling manufacturer implemented Qinfinite Chaos Engineering to address their challenges.
  • The chaos engineering solution involved a series of carefully designed experiments to simulate high-demand scenarios, and stress test the production system.
  • Qinfinite injected failures in various critical components of the system, including API response latency, Cache failure, network latency, B2B document exchange failure, database performance, and hardware failures, to identify potential weaknesses and vulnerabilities.

Implementation Steps:


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.

Results Achieved:

  • The implementation of Qinfinite Chaos Engineering resulted in significant improvements for the bottling manufacturer.
  • Reduced system failures by 70% during peak production periods, ensuring uninterrupted production and improved customer satisfaction.
  • Optimized system performance and increased throughput by 30%, enabling the bottling manufacturer to meet increased demand efficiently.
  • Enhanced resilience and minimized disruption in the supply chain, leading to improved operational efficiency and cost savings.

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