Kubernetes
Use Kubernetes when an application needs a repeatable way to run and scale containers. SAI can help design the platform, deploy a suitable workload and give the operating team the visibility and controls it needs.
The business problem
Clusters can be running while applications remain hard to support. Teams need decisions about network paths, identities, secrets, resource limits, upgrades, backups and who owns an incident at 2 a.m. A cluster without an operating model adds complexity.
How SAI Technologies approaches the work
Assess whether Kubernetes is appropriate for the application and the client’s skills, scale and resilience needs.
Design namespaces, access, workload configuration, network boundaries, secrets handling and capacity.
Build deployment and rollback workflows with health probes, test environments and observability.
Test failure, scaling and recovery scenarios with application and operations owners.
Document upgrades, patching, cost visibility and support ownership.
Connected process
Connected delivery
A Kubernetes service still relies on databases, identity, DNS, networks and external APIs. SAI maps those dependencies and validates the customer transaction across the platform boundary.
Small and midsize bank use case
A bank may use Kubernetes for an API layer in front of a legacy core. SAI could deploy and monitor that API without assuming the core itself should be containerized, and test what happens when the core response is delayed.
Illustrative delivery story
A service experiences traffic spikes but its application owners cannot see whether a failure is in the container, database or upstream API. SAI could improve deployment health checks and service visibility.
Measures to agree before work begins
Availability of the target service; failed deployment recovery time; resource utilization; incident diagnosis time; upgrade success; platform cost by workload.
A practical first SOW
Kubernetes workload SOW: platform and dependency review, one workload deployment, access and network design, observability, failure test and operational runbook.
