On any given day, we handle around 15% of daily retail trading volume across all stock exchanges in India. Billions of requests generated in the process are handled by a suite of systems we have built in-house. Also, we are very particular on self-hosting as many dependencies as possible, everything from CRMs to large databases, Kafka clusters, mail servers etc.

To aid these primary systems, there are a large number of ancillary workloads that run, covering everything from real-time trades, document processing, KYC, and account opening, legal and compliance, complex, large scale P&L and number crunching, and a wide range of backoffice workloads. The systems are spread across a hybrid setup; physical racks across two different data centres (where exchange leased lines terminate) and AWS. All of this means that we have a lot of dynamic workloads and dissimilar systems and environments, bare metal to Kubernetes clusters, to be monitored independently.