No single point of failure
Every tier is redundant — application, database and storage each run across multiple availability zones.
Illustration · representative concept, not a live monitoring screenInfrastructure
Built on AWS, engineered for 99.99% uptime.
Government systems can't go down when it matters most. On AWS, Tiger One runs across multiple availability zones, scales automatically under load, and backs up continuously — backed by a 99.99% uptime commitment.
Uptime commitment99.99% on AWS deployments
RedundancyMulti-AZ across every tier — app, database and storage
ScalingAutomatic, load-balanced, no manual provisioning
99.99%uptime commitment on AWS production deployments
Multi-AZredundant across independent availability zones
Auto-scalingcapacity added automatically under load
Automated backupcontinuous, with tested recovery
Why this matters
Downtime isn't an option for a system government relies on.
A citizen service, a payroll disbursement, or a field team submitting evidence doesn't pause for a server to come back up. Infrastructure that fails quietly under load, or loses data in a single bad event, undermines the trust the rest of the system is built on. Tiger One's AWS deployment is engineered around that reality — redundant by default, monitored continuously, and backed by a 99.99% uptime commitment.
The standard
What 99.99% uptime actually requires.
Capacity that keeps up
Traffic spikes are absorbed by automatic scaling and load balancing, not a manual response after the fact.
Recovery that's tested, not hoped for
Backups run continuously, and recovery is a documented, exercised procedure — not a plan that's never been tried.
The infrastructure
Eight capabilities, working together.
None of this is a single feature — it's the combination that gets a system to 99.99% uptime.
Auto Scaling
Compute capacity expands and contracts automatically with real demand, so a traffic spike never degrades the system.
Load Balancing
Traffic is distributed across multiple healthy instances, so no single server is a single point of failure.
Multi-AZ Redundancy
Application, database and storage tiers all run across multiple independent availability zones, not one data centre.
Automated Backups
Continuous, automated backups with tested recovery, so a bad day never means lost data.
Monitoring & Alerting
Infrastructure health is monitored around the clock, with automated alerts before a small issue becomes an outage.
Network Security
Private networking, encrypted traffic and data at rest, and least-privilege access control by default.
Disaster Recovery
A documented recovery plan for the rare event a full availability zone needs to fail over.
Elastic Storage
Storage scales with the system automatically, without manual provisioning or downtime.
The advantage
Reliability that doesn't depend on luck.
Redundancy and auto-scaling mean the system stays up through both routine load and unexpected spikes.
Elastic compute and storage absorb more users and more data without a migration project.
Automated, tested backups mean data loss is a solved problem, not a risk carried silently.
Not locked to one cloud
The same discipline, wherever it runs.
AWS is the default, but not the only option. The same redundancy and governance principles carry across every deployment model Tiger Park supports.
AWS
The default for elastic, managed cloud infrastructure — everything on this page applies directly.
Tiger Park data centre
The same redundancy and monitoring discipline, operated on Tiger Park's own infrastructure in Bangladesh.
National Data Centre
Deployed inside the Government's own National Data Centre, under national data-sovereignty rules.
Customer's own facility
The same governance principles, adapted to run entirely inside the agency's own infrastructure and network.
Reliability, by design.