ReviewScoped individually
Kubernetes Platform Review
A technical review of the clusters and platform practices: security, network, deployment, scaling, observability and upkeep.
Domain F · Engineering and platforms
We make software releases repeatable and show you how your systems behave in real use: pipelines, safe releases, monitoring, alerts and incident practice. By SRE we mean service-level objectives, error budgets and blameless reviews, scaled to your team. This is not a 24/7 operations centre.
Status:Custom engagementTaken on as a scoped project after an assessment; every engagement is quoted individually.
DevOps, SRE & Observability
Risky releases.
No rollback.
Outages noticed late.
Alert noise.
No shared view of what is slow or failing.
AI costs that are only seen on the invoice.
DevOps, SRE & Observability
The status shows what we offer today. Pricing is set once the scope is clear, in a written quote.
Build, test, security scanning, preview environments, promotion, rollback.
Migrations as a gated step, feature flags, canary or blue-green where justified.
Structured logs, metrics, OpenTelemetry tracing, dashboards, synthetic checks.
SLO-based alerts, routing, runbooks, escalation. On-call staffing is agreed separately.
SLOs and error budgets, load and failure testing, capacity reviews.
Incident procedure, post-incident reviews, preventive backlog.
Tracing of model and tool calls, token and cost tracking, latency, redaction.
DevOps, SRE & Observability
Consultant-led formats with a clear scope that we usually start with.
ReviewScoped individually
A technical review of the clusters and platform practices: security, network, deployment, scaling, observability and upkeep.
AssessmentScoped individually
An assessment of the path from a code change to production: CI/CD, infrastructure as code, GitOps, change control and recovery.
WorkshopScoped individually
A workshop with your team on what you observe, how you learn about a problem and how you respond: signals, SLOs, alerts, incidents.
Assessment
A fixed-scope review with written findings, risks and a prioritised plan.
Workshop
Half a day to two days with your team; decisions and a written summary.
Architecture
Target design, decision records, interfaces, security model and an estimate of the work.
Implementation
Built and tested increments with acceptance criteria and handover documentation.
Managed service
Through Managed AI & Platform Operations
Pricing is set once the scope is clear and is provided in a written quote.
Cloud infrastructure as code: environments, containers, databases, secrets, backups and cost control.
Ongoing operation of what has been built: monitoring, maintenance, evaluation, cost and incidents.
Safeguards around AI systems that can be checked: permissions, data, quality evaluation and incident handling.
AI assistants and features on your own documents and data — with sources, permissions and measured quality.
Describe your task. We will clarify the scope and the engagement model and send a written quote.