In the heart of the bustling city of Hyderabad, a cozy coffee shop was abuzz with a lot of activity. Among the patrons was Murthy, a young and enthusiastic software engineer, nursing a cup of steaming coffee. As Murthy perused his laptop, a friendly voice chimed in from the neighboring table. “Chaos engineering, huh? Quite the hot topic these days,” the voice said. Murthy looked up to find Mr. Shan, a seasoned expert in the field, smiling warmly. “Hey there!

Over the past few decades, consumers increasingly accepted digital tools as they helped save time, manage funds securely, and track and control their finances efficiently, leading to the growth of Fintech companies. According to some reports, the Fintech Industry is projected to become $1.5 Trillion by 2030. NA has the largest share of the market in Fintech across the globe. US Fintech as a service market size is expected to grow at a compound annual growth rate (CAGR) of 17.5% from 2023 to 2030.

Resilience is paramount in the current digital landscape. With the increasing complexity of software systems and the ever-present threat of unforeseen failures, businesses must proactively fortify their digital infrastructure. This is where Chaos Engineering comes into play. It’s not about causing chaos for chaos’s sake but rather a strategic approach to identifying vulnerabilities and strengthening systems.

Organizations face constant challenges safeguarding their assets and data in the ever-evolving cybersecurity landscape. A proactive and dynamic approach ensures robust protection against ever-increasing cyber threats. This is where chaos engineering comes into play. Originally popularized for testing system resilience, chaos engineering has expanded its scope to address security concerns.

Gary Parker walks us through what chaos engineering is, how it works, why it is important, and some popular tools to get started with chaos experimentation.

This post presents how xk6-disruptor, a k6 extension for fault injection, can be used to improve the reliability of applications by “shifting left” chaos testing.

We’ve all heard about the significant WhatsApp breakdowns that have happened in the recent past, during which the app was unavailable for the public for an hour. However, from a technical standpoint, WhatsApp returned in less than an hour. What would have enabled the engineers at WhatsApp to quickly restore the services? Technically speaking, the team experienced an extremely stressful production failure because of this.