Injecting Havoc to Build Resilient Systems: A Deep Dive into Failure Scenarios
Injecting Havoc to Build Resilient Systems: A Deep Dive into Failure Scenarios

Modern digital businesses thrive on speed and reliability. Yet, history shows us that no system is immune to failure. A single point of exhaustion—whether CPU, memory, network, or storage—can bring billion-dollar services to a halt. This is where chaos engineering steps in: by deliberately injecting havoc into systems, teams discover weaknesses before real customers do.

In this blog, we’ll explore the four pillars of Chaos Engineering—Starve Application, State Change, Network Assaults, and Application Disruption. Alongside, we’ll revisit real-world outages that underline why preparing for the worst is the smartest strategy.

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How to Achieve Peak Performance Testing Across Industries
How to Achieve Peak Performance Testing Across Industries
In today’s hyperconnected digital landscape, application performance can make or break a business. From e-commerce platforms handling Black Friday traffic surges to banking systems processing millions of transactions daily, every industry faces unique performance challenges that demand specialized testing approaches. At Cavisson Systems, we’ve witnessed firsthand how organizations across diverse sectors achieve peak performance testing results with the right strategy and tools.

The Universal Challenge: Performance at Scale

Regardless of industry, modern applications must deliver consistent, reliable performance under varying loads. However, the definition of “peak performance” differs dramatically across sectors:
  • Financial Services require sub-second response times for trading platforms and zero downtime for critical banking operations
  • E-commerce platforms need to handle traffic spikes during sales events without cart abandonment or revenue loss
  • Healthcare Systems demand reliable performance for life-critical applications and patient data management
  • Telecommunications providers must ensure network services perform flawlessly under peak usage scenarios
  • Manufacturing systems require real-time performance monitoring for IoT devices and supply chain applications
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