DevOpsDreams

Environment Promotion Strategies for GitOps Pipelines: Branches, Paths, Tags, and Digests GitOps promotion is a data-model problem before it is a tooling problem. This guide compares branches, directories, tags, image digests, Flux automation, and Argo CD Image Updater trade-offs. TL;DR A reliable GitOps promotion strategy makes the promoted artifact, environment-specific configuration, approval record, and rollback target explicit. Directory-per-environment models are simple and auditable, branch-per-environment models isolate change history but create merge drift, tag or SHA promotion improves reproducibility, and image-digest promotion closes supply-chain gaps. Flux Image Automation and Argo CD Image Updater can reduce toil, but production promotion still needs protected branches, signed commits or tags, policy gates, drift detection, and a clear handoff to progressive delivery across clusters safely. Promotion is the movement of a reviewed artifact through explicit environment s...

Platform Engineering on AWS with EKS Blueprints and GitOps Platform engineering on AWS gets much clearer when Terraform owns day-0 infrastructure and Argo CD owns day-2 reconciliation. This guide shows how EKS Blueprints and the GitOps Bridge pattern create that boundary. TL;DR Platform engineering on AWS is easier to reason about when you separate responsibilities: Terraform provisions the EKS cluster, networking, IAM, and add-on metadata, while Argo CD continuously reconciles in-cluster applications and platform add-ons from Git. EKS Blueprints and the GitOps Bridge pattern make that handoff explicit by passing cluster context into Argo CD instead of letting Terraform and GitOps compete for the same resources. The result is a cleaner bootstrap flow, fewer ownership collisions, and a platform model that scales better across teams and environments. Platform Engineering Starts With Ownership, Not Tools The most common mistake in platform engineering is treating Terraform, EKS Bluepr...

AWS VPC Lattice: The Missing Service Layer Between VPC Connectivity and Application Routing AWS VPC Lattice is easiest to misunderstand when you treat it like another load balancer. The real value is a service-layer boundary for discovery, auth, routing, and observability across VPCs, accounts, and even on-prem entry paths. TL;DR AWS VPC Lattice is most useful when your problem is not raw network connectivity but service-to-service access control and routing across many boundaries. It gives you a service network abstraction, per-service listeners and target groups, IAM-backed auth policies, and request-level observability without forcing every team to hand-build PrivateLink, Route 53, and load balancer patterns from scratch. The important caveat is that it does not replace your VPC underlay, and some protocol choices, especially TLS passthrough, gRPC, and health checks, carry sharp constraints that you need to design for early. VPC Lattice works best when you treat it as a service a...

A Modern Terraform Reference Architecture for Amazon EKS Most EKS failures are not Kubernetes failures. They are boundary failures between Terraform state , VPC capacity, node provisioning, and workload identity. This guide lays out a production-ready reference architecture that keeps those seams explicit. TL;DR A modern Terraform reference architecture for Amazon EKS should separate network, cluster, and add-on state; reserve private subnet capacity for control-plane ENIs and pods; keep a small stable baseline of managed nodes; use Karpenter for bursty or heterogeneous workloads; and choose workload identity deliberately instead of treating IRSA and EKS Pod Identity as interchangeable. The goal is not just to create a cluster, but to make upgrades, add-on lifecycle, IAM boundaries, and node replacement predictable. If you design those boundaries early, EKS gets much easier to operate. A production EKS architecture works better when Terraform state, networking, compute, identity...