Multi-Cloud, Multi-Challenge - How Ops Teams Win
☁️ Multi-cloud isn’t just a buzzword anymore.
Most enterprises run workloads across AWS, Azure, and GCP — but SREs and Ops teams quickly realize: more clouds = more problems.
Each provider has its own IAM, networking, observability, and compliance quirks. The real challenge is making them all work together without tripling your toil.
Here’s how Ops teams can win in the multi-cloud game.
1. Challenge: Fragmented Identity & Access Management
• AWS IAM ≠ Azure AD ≠ GCP IAM.
• Service accounts, roles, and policies drift apart.
• Result: Inconsistent access control, harder audits.
👉 Solution:
• Use OPA Gatekeeper or Kyverno to enforce unified RBAC policies at the Kubernetes level.
• Example: Disallow privileged pods across all clusters, regardless of cloud:
apiVersion: constraints.gatekeeper.sh/v1beta1
kind: K8sPSPNoPrivilegedContainer
metadata:
name: disallow-privileged
spec:
enforcementAction: deny
2. Challenge: Multiple CI/CD Pipelines
• Different cloud-native CI/CD tools (CodePipeline, Azure DevOps, Cloud Build).
• Ops teams maintain parallel pipelines, slowing down delivery.
👉 Solution:
• Standardize on cloud-agnostic CI/CD (GitHub Actions, ArgoCD, Tekton).
• Use GitOps to push deployments consistently across clusters.
3. Challenge: Observability Silos
• Metrics in CloudWatch, logs in Stackdriver, traces in App Insights.
• On-call engineers end up checking 3 dashboards for 1 incident.
👉 Solution:
• Use OpenTelemetry to unify data collection.
• Aggregate with Prometheus + Loki + Tempo → feed into KubeHA for real-time alert correlation.
4. Challenge: Cross-Cloud Networking
• Multi-cloud service-to-service communication adds latency + egress fees.
• Debugging latency spikes often leads back to multi-cloud routing.
👉 Solution:
• Keep tightly coupled services within the same cloud/region.
• Use service mesh (Istio/Linkerd) per cloud, not spanning across them.
• Apply federated monitoring (Thanos, Cortex) instead of streaming raw metrics across clouds.
5. Challenge: Compliance & Governance
• Each cloud has different defaults for encryption, secrets, and audit logs.
• Compliance teams face 3x the validation work.
👉 Solution:
• Enforce Zero-Trust Kubernetes policies (TLS everywhere, unique identities).
• Automate drift detection with KubeHA + OPA policies.
✅ Bottom line: Multi-cloud is powerful — but only if Ops teams standardize their tooling. With GitOps, OPA policies, OpenTelemetry, and KubeHA, you can tame multi-cloud complexity without burning out your engineers.
👉 Follow KubeHA(https://lnkd.in/gV4Q2d4m) for multi-cloud best practices, IaC templates, and AI-driven RCA workflows that keep clusters reliable across clouds.
Read more: https://kubeha.com/multi-cloud-multi-challenge-how-ops-teams-win/
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Top comments (2)
Wonderful information, not known to everyone!
Thanks