Professional DevOps Technology Stack & Cloud Tooling

Cloud Services, Infrastructure-as-Code & Container Orchestration

Continuous Integration, Continuous Deployment & Monitoring Systems

Written by Sahil Aghara, Freelance DevOps Engineer. Published: 2026-06-21. Last updated: 2026-07-08.
stack / capabilities

Tools chosen for reliable systems.

A production-focused toolkit spanning cloud infrastructure, containers, automation, delivery, observability, and the systems that connect them.

See the stack in practice Continuously learning and shipping
delivery.pipelinerunning
DefineTerraform + Ansible
PackageDocker + Helm
DeliverGitHub Actions
ObservePrometheus + Grafana
$ deploy --environment production verified
29Tools in active rotation
9Capability areas
4Cloud platforms
01Production mindset
core toolkit

The foundation I reach for first.

Concentric orbiting rings of my primary technologies. Hover over any node to examine its system specifications.

CORE
Cloud SpecRating: 95%

AWS

Multi-service global cloud backbone.

I design secure private networks (VPCs), load balancers, auto-scaling compute (EC2), and reliable storage instances.
Deploy Instruction / Run Signature
$aws ec2 run-instances --image-id ami-xxxx
tool explorer

Browse the complete stack.

Filter by capability to see the services and tools used across the delivery lifecycle.

Filter capability29 results
All

The complete toolkit used to build and operate production systems.

AWS

Cloud

Azure

Cloud

GCP

Cloud

Oracle Cloud

Cloud

Cloudflare

Cloud

Docker

Containers

Kubernetes

Containers

Helm

Containers

Terraform

IaC

Ansible

IaC

Vault

IaC

GitHub Actions

CI/CD

Jenkins

CI/CD

GitLab CI

CI/CD

Git

CI/CD

Prometheus

Monitoring

Grafana

Monitoring

Datadog

Monitoring

Nginx

Web Servers

Apache

Web Servers

Linux/Ubuntu

OS

Windows

OS

Bash

Languages

Python

Languages

PostgreSQL

Databases

MySQL

Databases

MS SQL Server

Databases

Redis

Databases

MongoDB

Databases
engineering approach

The tool matters less than the system around it.

I choose technology based on operational fit, team constraints, cost, and long-term maintainability. The goal is dependable infrastructure, not a longer logo list.

Secure defaultsLeast privilege, encrypted paths, and auditable changes.
Operational clarityRunbooks, ownership, and predictable recovery paths.
Measured reliabilityHealth checks, metrics, alerts, and useful feedback loops.