Next-Gen Server Administration & InfraOps
Kubernetes at Scale and Service Mesh
Kubernetes handles scheduling and self-healing, but running it at scale means managing upgrades, multi-tenancy, and traffic between services. A service mesh adds mTLS, traffic shaping, and observability without changing application code.
Главное
- Standardize on a managed or well-documented Kubernetes distribution and keep versions current.
- Use namespaces, quotas, and network policies to isolate tenants and workloads.
- Adopt a service mesh for mTLS, traffic splitting, and retry policies between services.
- Set resource requests and limits on every pod and enforce them with admission policies.
- Automate cluster upgrades with tested runbooks and rollback plans.
- Centralize logs, metrics, and traces with consistent labeling across clusters.
- Scan images and enforce signed, trusted registries in production.
- Test failure scenarios with chaos experiments before they happen in production.
Частые вопросы
Do I need a service mesh?
Not always. Start simple and add a mesh when mTLS, traffic control, or deep observability become requirements.
Managed or self-hosted Kubernetes?
Managed reduces toil for most teams. Self-host when compliance or cost demands it.
How do you handle multi-cluster?
Federation or GitOps-driven identical clusters with clear ownership per cluster.
What is the biggest scaling risk?
Untested upgrades and missing resource limits. Both cause outages under load.
Как мы берём на себя next-gen server administration & infraops
Это то, чем мы занимаемся каждый день: Design, automate, and operate modern server estates across bare metal, cloud, and edge with code-first infrastructure and deep observability. Наша услуга Администрирование серверов и Безопасность серверов Linux закрывает задачу целиком — оценка, внедрение, круглосуточный мониторинг и экстренная реакция в течение 30 минут.