DevOpsDreams

Terraform Security Best Practices for AWS: IAM Is Only One Layer Terraform security on AWS is not just a least-privilege IAM exercise. This guide shows how to harden runner identities, trust policies, state backends, validation gates, and provider dependencies so infrastructure changes fail safely instead of failing live. TL;DR Terraform security on AWS breaks in four places: the identity that runs Terraform, the policies and trust relationships it can assume, the state and plan artifacts it writes, and the provider or module dependencies it downloads. AWS and HashiCorp documentation point to a safer pattern: use temporary credentials and scoped roles, cap delegated access with permissions boundaries and organization guardrails, store state remotely with locking and recovery controls, keep secrets out of plans when possible, and pin plus lock providers and modules so reviewable code is the thing that changes. IAM matters, but it is not the whole attack surface. Terraform security i...

Progressive Delivery on Kubernetes: Canary, Blue-Green, and the Control Plane You Actually Need Canary and blue-green deployments solve different operational problems. This guide shows how to run both on Kubernetes with safer promotion, rollback, and traffic control. TL;DR Progressive delivery on Kubernetes is more than applying a new Deployment manifest and hoping the rollout settles cleanly. Native Deployments handle rolling updates well, but production canary and blue-green strategies need explicit promotion steps, analysis gates, and traffic control. In practice, that usually means adding a rollout controller such as Argo Rollouts or Flagger, wiring it to metrics, and designing rollback paths before release day. If you do that work up front, you reduce blast radius, shorten incident response, and make release behavior much more predictable. Argo Rollouts icon. The updated article covers canary and blue-green strategies, analysis gates, and promotion control. Rolling Updates Are...

Kubernetes Multi-Tenancy with Namespaces and Network Policies: A Practical Guide for GitOps Teams Namespaces are only the first layer of tenant isolation. This guide shows how to combine RBAC, Pod Security Admission, quotas, NetworkPolicies, and Flux service-account impersonation so teams can share a cluster without sharing blast radius. TL;DR Kubernetes multi-tenancy works only when you treat namespaces as one control in a larger isolation stack. A shared cluster needs per-tenant namespaces, namespace-scoped RBAC, Pod Security Admission labels, ResourceQuota and LimitRange defaults, and default-deny NetworkPolicies with explicit exceptions. If you use Flux CD, you also need controller lockdown and service-account impersonation so one tenant's GitOps objects cannot reach across namespaces. The practical goal is not perfect isolation from a namespace alone, but predictable blast-radius control for teams that share a cluster. A shared-cluster multi-tenancy model needs namespace bo...

Operators vs Helm for Platform Teams: Install with Charts, Automate with Controllers Platform teams should stop treating Operators and Helm as interchangeable. Helm is strong at packaging and releases; Operators justify their cost when you need continuous reconciliation and day-2 automation. TL;DR Operators and Helm solve different layers of the Kubernetes problem. Helm gives platform teams a repeatable way to package, configure, install, upgrade, and roll back applications. Operators add a controller and usually a custom resource, which lets you encode domain-specific operational behavior such as backup flows, failover, scaling rules, and safe upgrades. If your workload mostly needs installation and versioned configuration, Helm is usually enough. If you need software-specific automation after install, an Operator is the right abstraction. Many teams get the best result by combining both. Platform teams often combine both: Helm for packaging and Operators for ongoing reconciliation...

Terraform GitOps Bridge Modules for EKS: A Cleaner Way to Bootstrap Clusters and Hand Off to Argo CD Bootstrapping an EKS cluster is not the hard part. The hard part is handing cloud metadata , add-on dependencies, and day-2 ownership from Terraform to GitOps without making both systems fight over the same cluster. This guide explains how the GitOps bridge pattern solves that handoff. TL;DR The GitOps bridge pattern separates cloud provisioning from in-cluster reconciliation. Terraform creates the EKS cluster and external dependencies, then passes cluster-specific metadata to Argo CD. Argo CD uses that metadata to install and reconcile add-ons and workloads from Git. The key operational rule is simple: do not let Terraform and Argo CD both think they own the same add-on. The result is a cleaner day-0 to day-2 handoff and a more maintainable EKS platform. The Hard Part Is Not Creating the Cluster. It Is Handing It Off Cleanly. Most teams can get an EKS cluster on...