How We Cut Our API's p99 Latency from Minutes to Under a Second
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Deepak Agrawal
Atlassian
Principal Software Engineer
Antonio Mendoza Pérez
Staff Developer Success Engineer · Temporal Technologies
Gaurav Thadani
Staff Developer Success Engineer · Temporal
November 25–26, 2026
Bengaluru, India
Joining remotely?
Watch live with ProEvery team that’s tried to go multi-cloud has hit the same wall: it was never really a software problem. The code was fine. What broke was the architecture.
At a membership platform I worked on, a failover meant to improve reliability instead sent every customer an email about rewards and gift cards from years past — because the offset state tracking who’d already been notified didn’t migrate with the failover. The result wasn’t a minor bug. It was a resend to the entire consumer base, and a cost to the business in the millions.
The instinct after an incident like that is to plan the “proper” multi-cloud project: a dedicated effort, estimated at a year of engineering time, to make failover state consistent across providers. That’s the traditional path — and it’s exactly the wrong frame.
Here’s the reframe: multi-cloud isn’t a target you build toward. It’s a side effect of a more fundamental decision — building durability-first. When state, retries, and recovery are guarantees of the execution layer rather than logic your team hand-rolls per cloud, failover stops being a year-long architecture project. With Temporal’s durable execution model, what was estimated at a year became a matter of enabling replication with a single click.
You’ll leave with a different mental model: multi-cloud as a test of your architecture’s fundamentals, not a project you fund separately.
Conference India 2026
Deepak Agrawal
Atlassian
Principal Software Engineer
Hadar Geva
Myop
CTO & Co-founder
Pritesh Kiri
Harness
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Yash Sharma
DigitalOcean
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