Data centers do go offline — sometimes several at once. We find the single points of failure in your stack and remove them, starting with the ones that would cost you the most.
An engineer replies, not a salesperson — within one business day.
Official cloud partners
One availability zone, one database primary, one engineer who knows how to fail over.
Even a routine release means a few minutes of errors for your users.
Launches and seasonal traffic are survived on hope and manual scaling.
“99.9%” is in a contract, but nobody knows what you actually deliver.
What can break, what it takes down with it, and how long recovery really takes.
Workloads and data spread so that losing a zone — or a whole data center — is an event, not an outage.
Replication, automatic failover and connection pooling, tested under load.
Rolling, blue-green and canary deploys with ArgoCD and fast rollback.
Capacity planning and load tests before peaks, not during them.
Health checks, autoscaling, timeouts and fallbacks, so one slow dependency doesn't take everything down.
Strict continuity requirements: services cannot be stopped, and problems must be visible before users notice them.
Releases were rare and manual; every deployment was an event.
Traffic comes in spikes around course launches, and paying for permanent spare capacity made no sense.
TEAM.md
There are three of us, by design: the engineers you talk to are the engineers who do the work. No account managers, no hand-offs.
Co-founder
20+ years in IT. In 2014 he founded Last.Backend, a container orchestrator built at almost the same time as Kubernetes. Leads our AI practice.
Co-founder
7 years in DevOps and dozens of delivered projects, from a first pipeline to production under heavy load.
Co-founder
5 years in DevOps. Takes on the hardest problems and sees them through.
Tell us what is going on today. We reply within one business day with a free initial review.