Content tagged with "devops"
Git Directory Generator auto-creates dev/staging/prod Applications from directory structure. Adding an environment is just a directory push, and per-environment changes don't affect others. Watch out for the longer polling interval.
Just one IAM policy addition to the Capability Role enables CodeCommit private repo deployments. Watch out: URL typos and missing permissions produce the same error, and manual refresh is recommended after fixing permissions.
Hands-on verification of Amazon ECS Linear and Canary deployments with NLB. Measured how the NLB-specific 10-minute delay accumulates per step, making step count the deployment time bottleneck.
Upgrading EKS following AWS best practices end-to-end: Cluster Insights, deprecated API scanning, PDB-backed availability guarantees, and post-upgrade validation.
Create an ArgoCD Capability using eksctl's declarative YAML config and deploy a sample app. Covers the differences from AWS CLI and CloudFormation behavior.
Enable ArgoCD Capability on EKS via AWS CLI and deploy a sample app end-to-end. Covers real gotchas like Identity Center region mismatch and access policy setup.
Verified ClusterNetworkPolicy and ApplicationNetworkPolicy on EKS Auto Mode. Domain name-based egress filtering enables multi-layered access control that restricts pods to specific external services only.
Set up CloudWatch Vended Logs for EKS Auto Mode's 4 components (Compute/Block Storage/Load Balancing/IPAM) and analyze scale-up to scale-down behavior with Logs Insights queries.
Set up an EKS cluster with Auto Mode enabled using a single eksctl command. Covers how Auto Mode eliminates node group management and when to choose it over traditional managed node groups.
Build macOS/Linux dotfiles with XDG compliance, 1Password SSH integration, and a test script. Covers the design decision to use copy-based deployment over symlinks, and how CLAUDE.md enables AI-assisted maintenance.
Normalize metrics from multiple coding agents into a common schema and visualize them in a unified dashboard. Separating comparable from incomparable metrics is the key to avoiding misleading cross-agent comparisons.
A plan to roll out individually proven Claude Code meta-skills to a 20-person team. The critical design decision: separating force-distributed core skills from team-specific customizations.
Implementing 'meta-skills' to automate CLAUDE.md optimization and skill creation. Building a continuous improvement process with analyze-claude-md, optimize-claude-md, and create-skill