We run a Virtualization & Containers platform that speeds up time-to-market, raises SRE standards and delivers consistent environments from dev to prod. We unify VMs and containers (Docker/Containerd) on Kubernetes clusters, automate lifecycle with GitOps and Infrastructure as Code (IaC), and enforce security, multi-tenant and soft multicloud standards for regulated or fast-growing workloads. We define per-service SLOs, track errors/latency/saturation and reduce MTTR through observability and actionable runbooks.
The platform provides dedicated node pools (CPU, memory, spot) with taints/tolerations, per-namespace quotas, PodDisruptionBudget for disruption-free upgrades, resilient ingress, NetworkPolicies for micro-segmentation, and CSI for persistent volumes with snapshots and fast restores. Application rollout supports canary, blue-green and rolling with HPA, VPA and CA.
Platform operated with SRE practices, per-service SLOs and continuous improvement.
GitOps & IaC for traceable, reversible and auditable changes.
Security by design: isolated namespaces, network and runtime policies.
We cover hypervisors (KVM, Proxmox, enterprise platforms), managed or self-hosted Kubernetes clusters, container runtimes (Docker/Containerd), image registries, CI/CD pipelines, CNI and CSI, ingress, load balancing and service mesh (mTLS, traffic shaping). We integrate secret managers, image signing and SBOM, and enable stateful workloads with persistent volumes, snapshots and restore by storage class. We manage product namespaces, quotas, limit ranges and labels for cost allocation.
We observe cluster health (API, etcd, scheduler), p95/p99 latency, errors 5xx, scheduler queues, restarts and crash loops, CPU/memory by pod and node, requests/limits, events (evictions, OOMKills), HPA/VPA and PDB breaches. For VMs we track density, I/O latency, provisioning time and boot time. Logs, metrics and traces (OpenTelemetry) are centralized with per-team dashboards, error budgets and capacity forecasts.
Alerts for etcd quorum, API down, NotReady nodes, disk/memory pressure, ImagePullBackOff, CrashLoopBackOff, error-budget burn, PDB violations, ingress latency and rollout degradation. Each alert carries impact, runbook and labels for routing and auto-remediation.
Incident response
P1
Control plane outage, quorum loss or image registry disruption. Isolation, cluster recovery, critical services cold start and stakeholder comms.
P2
Zone node loss, degraded deploy or high latency. Controlled rollback, selective cordon/drain and horizontal scaling.
Post-mortem
Actionable lessons, prioritized tech-debt, better probes/limits/policies. Runbook updates and training.
Each incident records real MTTR, applied changes, evidence and prevention tasks with owners and dates.
Self-healing
Well-tuned health-checks and probes: pod restart and automatic reschedule.
Cordon & drain with workload re-creation and PDB respect.
HPA/Cluster Autoscaler on peaks with smart cooldown.
Idempotent retries, safe rollbacks and post-change verification.
Automation focused on availability with human control at key milestones and full traceability.
Consolidate workloads across VMs and containers with isolation, optimal density and autoscaling. Standard base images, approved catalogs and golden templates for consistency.
Versioned desired state, pull-based for predictable rollouts, drift detection and peer reviews. Repeatable provisioning of clusters, networks, registries and storage.
Metrics, logs and traces with per-service resource, error budgets, capacity planning and label-based cost allocation. Actionable alerts with linked runbooks.
Rolling, blue-green and canary strategies with automated gates, smoke tests and objective verification before promotion.
Operational KPIs
Metric
Target
Current
Comment
Cluster availability
>= 99.95%
99.98%
Error budget under control and high availability.
CI/CD deployment success
>= 99.0%
99.6%
Automated validations and safe rollbacks.
Provisioning time
<= 15 min
8 min
Templates and repeatable IaC.
Node MTTR
<= 10 min
5 min
Cordon/drain and auto replacement.
Summary
A modern platform unifying virtualization and containers, with SRE, secure defaults and end-to-end automation. Lower risk, faster rollouts and predictable costs. Ask for a platform assessment or a guided canary test to see the impact on your product.
We run a free cluster health check and deliver a prioritized improvement plan.
