Services // AWS High Availability
One server going down shouldn't take your product with it.
I design and test high availability architecture on AWS out of Delhi NCR multi-AZ and multi-region failover, load balancing, auto-scaling that responds before customers notice anything's wrong. Redundancy that's only ever been drawn on a diagram isn't redundancy, it's a guess.
Every engagement ends with an actual failure test, not just a document saying the system "should" survive one.
Start with a failure-point review →What this actually covers
Redundancy that's been tested, not just designed
Multi-AZ Architecture
Making sure losing one availability zone doesn't mean losing the app. This is the baseline for anything that calls itself production, and it's also the thing most "we're on AWS so we're fine" setups quietly skip.
Multi-Region Failover
For systems where an entire region going down still can't take you offline usually needed for fintech, healthcare, or anything with a real SLA attached. Route 53 health checks, cross-region replication, and a failover path that's been triggered on purpose at least once before it's ever needed for real.
Load Balancing & Auto-Scaling
Traffic that spikes without warning shouldn't mean pages that time out. Scaling policies tuned to how your application actually behaves under load, not the default thresholds nobody's revisited since setup.
Failure Testing
Deliberately breaking things in a controlled way killing an instance, cutting a connection, simulating an AZ outage to find out if the redundancy you built actually works, instead of finding out during a real incident.
How people usually bring me in
Scoped after I've seen the actual failure points
Single Points of Failure Review
A focused pass through your architecture to find what actually takes the system down the database with no replica, the one EC2 instance nothing else depends on until suddenly everything does.
HA Architecture Implementation
Redesigning the pieces that need it multi-AZ failover, load balancing, auto-scaling and rolling it out without taking the current system down to do it.
Failover Testing & Runbooks
You already have redundancy built, but nobody's actually pulled the plug to confirm it works. I test it properly and write the runbook your team follows when it matters.
How this actually gets built
Four steps, ending with a real test
Find what actually breaks first
Not a checklist audit I trace what genuinely happens if each component fails, because the failure that matters is rarely the one everyone assumes.
Design the redundancy
Multi-AZ where that's enough, multi-region where the business actually requires it not the other way around, since multi-region adds real cost and complexity you shouldn't take on if you don't need it.
Roll it out live
Changes land in stages against production traffic, not just a staging environment that behaves nothing like the real thing.
Actually test the failover
A scheduled, controlled failure to confirm the system does what it's supposed to before an unscheduled one does it for you.
Questions people actually ask
Before the discovery call
What's the difference between high availability and disaster recovery?
High availability is about surviving a failure with little to no interruption a server dies, traffic just shifts to another one automatically. Disaster recovery is the plan for when something bigger happens a full region outage, data corruption and usually involves some acceptable downtime while you recover. Most systems need solid HA first; not all of them need a full DR plan on top of it.
Do I need multi-region, or is multi-AZ enough?
For most businesses, multi-AZ covers the vast majority of real failure scenarios at a fraction of the cost and complexity of multi-region. Multi-region makes sense when a full AWS region outage would be genuinely unacceptable for the business which is less common than people assume. I'll tell you honestly if you don't need it, even though it's a bigger engagement.
How do you test failover without causing a real outage?
In stages, and usually starting outside peak traffic hours with a clear rollback ready. The point of the exercise is confidence, not bravado if a test looks risky for your specific setup, we scope it down until it isn't.
What does 99.99% uptime actually require?
99.99% allows for roughly 52 minutes of downtime a year, which sounds generous until you've had a single bad deploy eat half of it. It requires redundancy at every layer that matters compute, database, network path plus a deployment process that doesn't introduce its own downtime. I'll tell you what that actually costs for your system rather than quoting the number itself as a feature.
Can you add high availability to a system that's already live, without a full rebuild?
Usually, yes. Most HA gaps are specific and fixable a database with no replica, a load balancer with only one healthy target, a deploy process with no rollback rather than requiring the whole system to be rebuilt from scratch.
How is this different from your AWS cloud consulting work?
High availability is one specific outcome inside broader cloud consulting work, which also covers deployments, cost, and general operations. If uptime and failover are the main concern, this page is the right starting point; if it's a mix of things, the broader cloud consulting engagement usually makes more sense.
Find out what actually happens when something fails.
Most single points of failure are obvious once someone's actually looking for them.
Get in touch →