KIMY · Software engineering & digital solutions
Kubernetes orchestration
Assess whether orchestration fits workload, availability requirements and operational capacity.
Scope built around your use case
Assess whether orchestration fits workload, availability requirements and operational capacity.
Design and implementation
The assessment covers environments, criticality, costs and operational ownership. We propose an appropriate path: delivery automation, secret management, monitoring and verifiable restoration procedures.
Features and checkpoints
- Compare orchestration with simpler infrastructure.
- review health probes and resource limits.
- plan cluster updates, backups and operational skills.
These items are a starting point for discussion rather than a fixed package. Features are selected to serve the priority workflow identified during scoping. Dependencies on existing tools and access constraints are reviewed before implementation.
Potential use cases
A B2B application can have a representative acceptance environment before each release. A platform with variable demand can adjust resources using observed measurements rather than a fixed estimate.
Delivery, testing and continuity
An acceptance scenario should verify the solution against the initial need. Checks cover workflows, permissions, failures and performance relevant to your context. Documentation, access handover and maintenance terms are defined in the contractual scope. Technical choices follow your constraints; no technology stack is imposed before that assessment.
What should I prepare for a proposal?
Describe a workflow, users, expected volumes and tools to connect. Share fixed deadlines and available access. This information helps identify what needs further assessment.
How is the first release decided?
Scoping ranks features by usefulness, risk and dependencies. A first release can then be proposed with acceptance criteria and a separate list of future improvements.