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Progressive Delivery with Argo Rollouts: Canary Deployments and Automatic Rollback
Progressive Delivery with Argo Rollouts: Canary Deployments and Automatic Rollback Traditional Kubernetes deployments replace pods atomically — if the new version has a bug, all traffic shifts instantly and users experience the failure. Progressive delivery with Argo Rollouts solves this by shifting traffic incrementally, validating each step before proceeding, and...
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Kubernetes Network Policies: Enforcing Zero-Trust Security Between Workloads
Kubernetes Network Policies: Enforcing Zero-Trust Security Between Workloads By default, Kubernetes allows all pods to communicate with every other pod in the cluster. This “allow-all” baseline is convenient for development but represents a significant security risk in production. Network Policies let you declare which pods can accept traffic from which...
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Terraform Remote Backends: S3, DynamoDB Locking, and State Migration
Terraform Remote Backends: S3, DynamoDB Locking, and State Migration Terraform stores state locally by default, which works for individual developers but breaks down completely when multiple team members or CI/CD pipelines need to apply changes simultaneously. A remote backend solves this by storing state in a collaborative storage system with...
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Kubernetes Cluster Health Monitoring and Automated Remediation
Kubernetes Cluster Health Monitoring and Automated Remediation Operating Kubernetes clusters in production requires more than deploying workloads — you need continuous visibility into cluster health and the ability to automatically respond to common problems before they impact users. This article presents practical scripts and patterns for monitoring cluster health and...
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Essential Linux Security Hardening for Production DevOps Servers
Essential Linux Security Hardening for Production DevOps Servers When running DevOps tools and workloads on Linux servers in production, security hardening is not optional — it’s a requirement. This article covers practical, non-destructive measures you can apply to reduce the attack surface of your infrastructure. Why Harden Your DevOps Servers?...
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Terraform Workspace Strategies for Multi-Environment Infrastructure
Terraform Workspace Strategies for Multi-Environment Infrastructure When managing infrastructure with Terraform across multiple environments, the default single-workspace workflow quickly becomes insufficient. Development, staging, and production environments typically require different configurations, resource naming, and isolation — yet they often share the same set of resources (VPCs, subnets, IAM roles) with environment-specific...
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Kubernetes Security Contexts: Running Pods with Least Privilege
Kubernetes Security Contexts: Running Pods with Least Privilege When deploying containers at scale, assuming containers run with the same privileges as the node is a common misconfiguration. Kubernetes security contexts let you declare exactly what a container can and cannot do — reducing the attack surface if a container is...
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Terraform Workspaces for Environment Isolation
Terraform Workspaces for Environment Isolation When managing infrastructure with Terraform across multiple environments — development, staging, and production — you need a strategy to keep resources isolated while reusing the same configuration. Terraform workspaces provide a built-in mechanism to maintain separate state for each environment using the same root module....
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Kubernetes NetworkPolicies: Controlling Pod-to-Pod Communication
Overview Kubernetes Pods are allow-all by default — any pod can reach any other pod on the cluster, including system components and other workloads. NetworkPolicies let you describe how groups of pods are allowed to communicate with each other and with other network endpoints. Implementing NetworkPolicies is one of the...
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Kubernetes Security Contexts: Running Pods with Least Privilege
Overview Kubernetes pods run with broad privileges by default. If a container is compromised, the attacker inherits the same access the pod had on the node — often root access, arbitrary system calls, and the ability to modify host-state. Security contexts let you reduce this risk by specifying what a...
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Terraform Backend Configuration: Remote State with AWS S3 and DynamoDB
Terraform Backend Configuration: Remote State with AWS S3 and DynamoDB When multiple engineers apply infrastructure changes simultaneously, local Terraform state files create conflicts, overwrites, and lost work. A remote backend solves this by storing state in a centralized location with locking mechanisms. This article walks through configuring Terraform to use...
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Kubernetes Resource Requests and Limits: A Practical Guide for DevOps Engineers
Overview Kubernetes gives you fine-grained control over compute resources through resource requests and limits. Getting these right is one of the highest-impact optimizations a DevOps engineer can make: they affect pod scheduling, quality-of-service (QoS) classes, and how the Horizontal Pod Autoscaler (HPA) behaves. This article walks through the practical aspects...
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Terraform Remote State Backends: S3 and DynamoDB for Team Collaboration
Overview Terraform’s local state file works fine for individual workflows, but in team environments the state file becomes a coordination point — concurrent edits can corrupt state, and there is no built-in mechanism for concurrent access control. A remote backend solves this by storing state in a durable system and...
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GitOps with ArgoCD: Progressive Delivery and Rollback Strategies
Introduction GitOps has become the de facto standard for managing Kubernetes manifests. ArgoCD extends this by providing a dedicated continuous delivery tool for Kubernetes. One of its most powerful features is progressive delivery — the ability to shift traffic incrementally between application versions while monitoring health metrics. This article walks...
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Hardening GitHub Actions: Security Best Practices for CI/CD Pipelines
Introduction GitHub Actions powers millions of CI/CD pipelines, but its default configurations often grant more access than necessary. A compromised workflow can exfiltrate secrets, pivot to cloud resources, or inject malicious code into artifacts. This article outlines practical, non-disruptive security hardening measures for GitHub Actions pipelines that DevOps teams can...