Case Study: HDFC Bank achieves near-100% observability availability and ML-driven anomaly detection with Elastic Observability

HDFC Bank runs Elastic Observability with 100% platform availability and 30% fewer servers

HDFC Bank, a leading Indian private-sector bank serving 50 million customers, faced challenges managing the health of its complex, distributed on-premises and cloud systems. Traditional monitoring with static thresholds was slow to surface the root cause of issues, leading to engineer fatigue. The bank turned to Elastic and its Elastic Observability platform to gain a horizontal view of its entire estate.

The on-premises Elastic Observability deployment utilized machine learning for dynamic anomaly detection with confidence scores, replacing static alerts. Additionally, a tiered data storage model (hot, warm, frozen) was implemented. This solution from Elastic provided near real-time root cause analysis and maintained long-term data retention while using up to 30% fewer servers, achieving close to 100% platform availability.

HDFC Bank