Ask any bank IT head what keeps them up at night, and uptime will come up within the first two minutes. A decade ago, a scheduled maintenance window on a Sunday night was normal. Customers understood. Regulators understood. The whole industry operated on the assumption that banking had operating hours, even digitally.
That assumption is gone.
UPI runs at every hour of every day. NEFT upgraded to operate 24×7 in December 2019. RTGS followed a year later. Customers now check balances at 2 AM and expect an instant response. And when a bank goes down, the outage doesn’t stay quiet for long. It ends up on X within minutes and in front of the RBI shortly after. The RBI has responded accordingly. Under its Master Direction on Information Technology Governance, Risk, Controls and Assurance Practices, banks are expected to maintain high availability for critical systems, define recovery objectives, test them, and report on them.
Why Storage Is Usually the Weak Link
When a banking application goes down, the first instinct is to look at the application. Sometimes that’s right. But storage sits underneath everything. Core banking, payment switches, internet banking, mobile apps, fraud systems, reporting platforms. All of it reads from and writes to storage. If storage slows down, everything above it slows down. If storage stops, everything stops.
Storage rarely fails cleanly. A controller starts responding slowly, latency creeps up, transactions queue, and the application appears to hang even though nothing has technically crashed. Customers see a spinning wheel. The monitoring dashboard shows green. That’s the failure mode BFSI infrastructure teams should be designing against, not just the dramatic disk-array-catches-fire scenario.
What Else BFSI Teams Should Have in Place
Capacity headroom. Running storage above 80 percent utilization is where performance problems begin. Plan refresh cycles before you hit the wall, not after.
Immutable snapshots. Ransomware is now the most likely cause of a multi-day BFSI outage. Immutable copies that can’t be encrypted or deleted give you a clean recovery point when replication has faithfully copied corrupted data to every site.
Real monitoring, not just alerts. Latency trends, queue depth, and Input/Output Operations Per Second (IOPS) patterns tell you a problem is coming. Threshold alerts tell you it has arrived.
Tested failover. An architecture that has never failed in production is a theory. The RBI expects evidence of testing, and frankly, so should your board.
Storage Architectures That Actually Deliver 24x7
All-Flash Arrays with Active-Active Controllers
All-flash removes the mechanical bottleneck. No spinning platters, no seek time, and latency that stays consistent no matter how random the access pattern gets. For transaction-heavy BFSI workloads, that consistency matters far more than peak speed on a datasheet.
Dell PowerStore, HPE Alletra, NetApp AFF, Pure Storage FlashArray, and Lenovo ThinkSystem DM all build around this principle. Choosing between them usually comes down to your existing environment, support model, and commercial terms rather than any dramatic capability gap.
Non-Disruptive Everything
Most BFSI teams underestimate this one during evaluation. Replace a failed component without scheduling downtime? Migrate data between arrays while applications keep reading and writing? If any answer is no, you don’t have a 24×7 platform. You have a platform that works until it needs attention.
Modern enterprise storage supports all of this. But ask vendors to demonstrate it rather than confirm it on paper. There’s often a gap between what’s technically supported and what holds up at scale.
Synchronous Replication and Automated Failover
Synchronous replication keeps a live, identical copy of data at a second site. If the primary goes down, operations continue with nothing lost. For banks running genuine 24×7 services, that’s part of the uptime architecture itself, not just a disaster recovery measure. Distance is the constraint. Beyond roughly 100 to 150 kilometres, latency starts affecting transactions, which is why most Indian banks pair a metro site for synchronous replication with a distant one for regional protection.
Failover only helps if applications follow. A storage array that switches controllers in two seconds is worthless if core banking takes four minutes to reconnect. Clustering, multipath connectivity and application-aware failover have to be configured together. This integration work is where most 24×7 architectures either hold up or quietly fail.
Where Brilyant Can Help
Uptime isn’t something you buy. It’s something you architect, and then prove.
Brilyant works with banks, NBFCs, and insurance companies to design storage environments that hold up under real BFSI conditions. That means all-flash platforms sized for actual transaction patterns, replication architectures that match the institution’s recovery objectives, and failover configurations that are tested rather than assumed.
We work across Dell, HPE, Lenovo, NetApp and EverPure, alongside India-region cloud deployments on AWS, Azure, and Google Cloud where the workload suits it. And because our team handles the ongoing management through our NOC and managed services practice, the architecture doesn’t degrade quietly after go-live.
If your current storage platform still requires maintenance windows, or if you’re not confident your failover would work under load, that’s usually the right place to start the conversation.
Frequently Asked Questions
Does the RBI specify a minimum uptime percentage for banks?
The RBI’s IT governance framework requires banks to define availability targets, recovery objectives and business continuity plans for critical systems, and to test and report on them. Specific thresholds depend on the system’s criticality classification and the institution’s category, so banks should verify current requirements against the applicable RBI Master Directions rather than assume a universal figure.
Is all-flash storage necessary for every BFSI workload?
No. All-flash is the right choice for core banking, payment processing, and other latency-sensitive transaction systems. Archival data, backup copies, and long-term regulatory records can sit on higher-capacity, lower-cost storage tiers without affecting uptime.
Can cloud storage support 24×7 uptime requirements for Indian banks?
Yes, provided the deployment uses India-based cloud regions to satisfy RBI data localisation requirements. Multi-availability-zone configurations within AWS Mumbai, Azure India, or Google Cloud Mumbai can deliver strong availability, though latency-sensitive core banking workloads often remain on dedicated infrastructure.
How often should storage infrastructure be refreshed in a BFSI environment?
Most institutions plan storage refresh cycles of five to seven years. Growth in transaction volumes, capacity utilization crossing 80 percent, or vendor end-of-support dates usually trigger the conversation earlier.
Get in touch with our infrastructure specialists about your storage and uptime requirements.
