The Secret Zero Problem#

Every secrets management system has the same fundamental challenge: you need a secret to access your secrets. Your Vault token is itself a secret. Your AWS credentials for SSM Parameter Store are themselves secrets. This is the “secret zero” problem – there is always one secret that must be bootstrapped outside the system.

Understanding this helps you make pragmatic choices. No tool eliminates all risk. The goal is to reduce the blast radius and make rotation possible.

Interactive Rebase#

Interactive rebase rewrites commit history before merging a feature branch. It turns a messy series of “WIP”, “fix typo”, and “actually fix it” commits into a clean, reviewable sequence.

Start an interactive rebase covering the last 5 commits:

git rebase -i HEAD~5

Or rebase everything since the branch diverged from main:

git rebase -i main

Git opens your editor with a list of commits. Each line starts with an action keyword:

AKS Identity and Security#

AKS identity operates at three levels: who can access the cluster API (authentication), what they can do inside it (authorization), and how pods authenticate to Azure services (workload identity). Each level has Azure-specific mechanisms that replace or extend vanilla Kubernetes patterns.

Entra ID Integration (Azure AD)#

AKS supports two Entra ID integration modes.

AKS-managed Azure AD: Enable with --enable-aad at cluster creation. AKS handles the app registrations and token validation. This is the recommended approach.

The Problem with Environment Variables#

Environment variables are the most common way to pass secrets to applications. Every framework supports them and they require zero dependencies. They are also the least secure option. Any process running as the same user can read them via /proc/<pid>/environ on Linux. Crash dumps include the full environment. Child processes inherit all variables by default.

# Anyone with host access can read another process's environment
cat /proc/$(pgrep myapp)/environ | tr '\0' '\n' | grep DB_PASSWORD

Environment variables are acceptable for local development. For production secrets, use one of the patterns below.

Setting Up Multi-Environment Infrastructure: Dev, Staging, and Production#

Running a single environment is straightforward. Running three that drift apart silently is where teams lose weeks debugging “it works in dev.” This operational sequence walks through setting up dev, staging, and production environments that stay consistent where it matters and diverge only where intended.

Phase 1 – Environment Strategy#

Step 1: Define Environments#

Each environment serves a distinct purpose:

• Dev: Rapid iteration. Developers deploy frequently, break things, and recover quickly. Data is disposable. Resources are minimal.
• Staging: Production mirror. Same Kubernetes version, same network policies, same resource quotas. External services point to staging endpoints. Used for integration testing and pre-release validation.
• Production: Real users, real data. Changes go through approval gates. Monitoring is comprehensive and alerting reaches on-call engineers.

Step 2: Isolation Model#

Decision point: Separate clusters per environment versus namespaces in a shared cluster.