Grafana dashboards as code with JSON provisioning

Grafana visualizes Prometheus metrics through configurable dashboards. Dashboard JSON models define panels, queries, and layouts programmatically. Panel types include timeseries for graphs, stat for single values, table for tabular data, and gauge for

Prometheus monitoring and alerting configuration

Prometheus collects and stores time-series metrics via a pull model. It scrapes /metrics endpoints at configured intervals. The prometheus.yml defines scrape_configs with target discovery. static_configs list fixed targets while kubernetes_sd_configs

Nginx reverse proxy and load balancing

Nginx serves as a high-performance reverse proxy and load balancer. The upstream block defines backend server pools. Load balancing methods include round-robin (default), least_conn, ip_hash, and random. The proxy_pass directive forwards requests to u

Shell scripting for DevOps automation

Shell scripts automate repetitive DevOps tasks like deployments, backups, and health checks. I use #!/bin/bash with set -euo pipefail for strict error handling—-e exits on error, -u errors on undefined variables, -o pipefail catches pipe failures. Fun

Terraform AWS RDS and ElastiCache provisioning

Terraform provisions managed database services declaratively. AWS RDS supports PostgreSQL, MySQL, and other engines with aws_db_instance. The engine_version pins database versions. instance_class sets compute size. allocated_storage and max_allocated_

Terraform modules for reusable infrastructure

Terraform modules encapsulate related resources into reusable, composable packages. A module is simply a directory with .tf files. The root module calls child modules with the module block. Input variable blocks parameterize modules. output blocks exp

Terraform basics: providers, resources, and state

Terraform is an infrastructure as code (IaC) tool that provisions cloud resources declaratively. Configuration files use HCL (HashiCorp Configuration Language). The provider block configures cloud providers like AWS, GCP, or Azure. resource blocks def

CI/CD pipeline with GitLab CI

GitLab CI/CD uses .gitlab-ci.yml for pipeline configuration. Pipelines consist of stages that run sequentially. Jobs within the same stage run in parallel. The image key sets the Docker image for each job. variables define global or job-level environm

CI/CD pipeline with GitHub Actions

GitHub Actions automates build, test, and deploy workflows. Workflows are defined in .github/workflows/ YAML files. The on key specifies triggers—push, pull_request, schedule, or workflow_dispatch. Jobs run on runners with configurable OS. steps execu

Kubernetes Horizontal Pod Autoscaler and resource management

The Horizontal Pod Autoscaler (HPA) automatically scales Pod replicas based on observed metrics. It monitors CPU utilization, memory usage, or custom metrics via the metrics-server. The minReplicas and maxReplicas fields set scaling bounds. targetCPUU

Kubernetes ConfigMaps and Secrets management

ConfigMaps store non-sensitive configuration as key-value pairs. Secrets store sensitive data like passwords, tokens, and certificates in base64 encoding. Both can be consumed as environment variables or mounted as files. ConfigMaps created with kubec

Kubernetes Services and Ingress for traffic routing

Kubernetes Services provide stable networking for ephemeral Pods. A ClusterIP service exposes Pods internally within the cluster. NodePort opens a static port on every node for external access. LoadBalancer provisions a cloud load balancer. Services u