LOADING THE ENGINEERING STORY

SAIFLIX
A SAI KRISHNA ORIGINAL
CLOUD & DEVOPS ENGINEER • AZURE

Turning complex
infrastructure into
reliable systems.

Cloud & DevOps engineer focused on Azure, Terraform, hybrid infrastructure, and automation. Explore the systems I support, the labs I build, and the lessons I document.

OPEN TO OPPORTUNITIESHYDERABAD · BENGALURU · REMOTE
SCROLL TO EXPLORE↓
THE PERSON BEHIND THE SYSTEMS

Sai Krishna · Cloud & DevOps

Azure • Terraform • Hybrid Cloud • Infrastructure Automation

02.6+YEARS IN IT*
03AZURE CERTIFICATIONS*
∞CURIOSITY FOR AUTOMATION
Experience and credentials should always match the dates and badges on my current resume.
THE FEATURED COLLECTION

Projects worth watching.

Not just tools on a resume. Practical builds, the decisions behind them, and what I learned along the way.

INFRASTRUCTURE / 02
DRIFT DETECTED → REVIEW
AUTOMATION · GOVERNANCE

Terraform Drift Detection

Detect infrastructure changes outside code and create a repeatable review workflow with automation.

TerraformGitHub ActionsOIDC
View repository ↗
CLOUD PLATFORM / 03
AZURE
CLOUD · INFRASTRUCTURE AS CODE

Azure Infrastructure Lab

Build repeatable cloud resources and explore networking, identity, security, and infrastructure lifecycle management.

AzureTerraformNetworking
Project details ↗
DELIVERY SYSTEMS / 04
CODE
→
BUILD
→
DEPLOY
CITESTCD
DELIVERY · AUTOMATION

CI/CD Pipeline Lab

Explore pipeline stages, repeatable builds, deployment checks, and safer release practices.

Azure DevOpsGitHub ActionsYAML
Project details ↗
AZURE PLATFORM / 05
HUB VNET↔SPOKE VNETBASTION · MONITOR · LOG ANALYTICS
AZURE · TERRAFORM · CI/CD

Enterprise Azure Landing Zone

Reusable Terraform modules for networking, Azure Bastion, virtual machines, diagnostics, remote state, and approval-based GitHub Actions workflows.

AzureTerraformGitHub Actions
View repository ↗
MULTI-CLOUD / 06
AZURE↔AWS
ONE WORKFLOW · SEPARATE DEPLOYMENTS
CLOUD · INFRASTRUCTURE AS CODE

Terraform Multi-Cloud Infrastructure

Independent Azure and AWS deployments covering virtual networks, subnets, security rules, Linux VM, EC2, and S3 resources.

AzureAWSTerraform
View repository ↗
ENTERPRISE AUTOMATION / 07
TENANT ATENANT BTENANT C
SHARED CODE · ISOLATED STATE
AZURE · GOVERNANCE · OIDC

Multi-Tenant Deployment Platform

A reusable Terraform platform concept for isolated tenant deployments, remote state, OIDC authentication, monitoring, backup, and controlled release workflows.

TerraformOIDCAzure
Project details ↗
AI-ASSISTED GOVERNANCE / 08
AI ASSIST→PLAN REVIEW→APPROVAL
AI · TERRAFORM MCP · HUMAN REVIEW

AI-Assisted Terraform Governance

Terraform MCP and GitHub Copilot-assisted workflow with reviewed plans, Azure remote state, OIDC, protected environments, and human approval gates.

MCPGitHub CopilotTerraform
View repository ↗
CONTAINERIZATION / 09
DOCKERCOMPOSE
APPLICATION PACKAGING

Dockerized Web Application

Node.js web application packaged with Docker and Docker Compose for repeatable local development and deployment.

DockerNode.jsCompose
Project details ↗
NETWORK SECURITY / 10
◈PRIVATE TUNNEL
LINUX · NETWORKING · SECURITY

WireGuard VPN on Ubuntu

Secure remote-access VPN lab using key authentication, IP forwarding, UFW rules, and controlled routing.

UbuntuWireGuardUFW
Project details ↗
BEHIND THE BUILD

A closer look at the engineering.

Selected project notes explain the problem, design choices, and how to validate the result. These are personal labs and portfolio builds, not claims of production deployment.

01Azure Landing Zone with TerraformAzure · Terraform · GitHub Actions · OIDC

Problem

Cloud foundations are harder to maintain when networking, compute, diagnostics, and deployment controls are configured inconsistently.

Design

Use reusable Terraform modules for network and compute components, remote state, diagnostics, and a GitHub Actions workflow with federated identity and an approval step.

Validation checklist

  • Run terraform fmt -check and terraform validate.
  • Review the Terraform plan before any apply.
  • Confirm diagnostics and state configuration; document cleanup steps.
View repository ↗
02Automated Terraform Drift DetectionTerraform · GitHub Actions · Azure OIDC

Problem

Manual changes in a cloud portal can leave deployed resources out of sync with the declared Terraform configuration.

Design

Schedule or trigger a workflow that authenticates with OIDC, refreshes state, creates a plan, and reports drift for review instead of silently applying changes.

Validation checklist

  • Make a controlled test change in a disposable environment.
  • Confirm the plan reports the difference.
  • Verify the workflow does not auto-apply and does not store long-lived cloud credentials.
View repository ↗
03Terraform Multi-Cloud InfrastructureTerraform · Azure · AWS

Problem

Learning cloud infrastructure across providers requires understanding both shared IaC patterns and provider-specific resource models.

Design

Keep Azure and AWS deployments independently understandable, using Terraform to define networking and compute resources with provider-specific configuration.

Validation checklist

  • Run format and validation checks for each configuration.
  • Inspect each provider's plan before provisioning.
  • Record outputs and destroy test resources to avoid unnecessary cloud spend.
View repository ↗
04Kubernetes Deployment Strategies LabKubernetes · Docker · Deployments · Rollback

Problem

Application updates need a controlled path to release new versions and recover when a rollout fails.

Design

Use a sample frontend/backend application to practice rolling updates, rollout status checks, rollback, blue-green, canary, and recreate deployment patterns.

Validation checklist

  • Inspect Deployments, ReplicaSets, Pods, and rollout history with kubectl.
  • Verify the application version after a rollout.
  • Intentionally test a failed image update in a lab and document recovery evidence.
Open project overview ↗

Project descriptions are a starting point. Link each card to the matching repository and keep claims aligned with what you have actually implemented.

MY TOOLKIT

The stack behind the story.

Technology is the tool. Reliability, clarity, security, and repeatability are the goal.

A

Cloud & Azure

Azure administration · Networking · Identity · Monitoring

↗
⌘

Infrastructure as Code

Terraform · Modules · State · Drift awareness

↗
⇢

CI/CD & DevOps

Azure DevOps · GitHub Actions · YAML · Git

↗
▦

Containers

Docker · Kubernetes fundamentals · Deployments

↗
$_

Systems & Scripting

Linux · Windows Server · PowerShell · Bash

↗
◉

Observability

Logs · Metrics · Troubleshooting · Monitoring concepts

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PREVIOUSLY ON MY JOURNEY

Experience that
builds reliability.

My systems background taught me to troubleshoot methodically, document clearly, and think about the operational impact of every change.

JAN 2025 — MAY 2026

Cloud Analyst — HCLTech

Cloud and infrastructure operations, incident troubleshooting, service reliability, and operational support. Detailed responsibilities should align with the resume.

DEC 2023 — DEC 2024

Azure / Windows Administrator

Windows and Wintel administration, server support, incident handling, and infrastructure operations.

CREDENTIALS & CURIOSITY

Learning never rolls back.

Certifications show commitment. Hands-on work shows how I apply the knowledge.

AZ104

Azure Administrator Associate

Microsoft · Verify credential ↗

↗
AZ305

Azure Solutions Architect Expert

Microsoft · Certified

✓
AZ400

DevOps Engineer Expert

Microsoft · Verify credential ↗

↗
TF004

Terraform Associate

HashiCorp · Verify credential ↗

↗
AZ900

Azure Fundamentals

Microsoft · Verify credential ↗

↗
DP900

Azure Data Fundamentals

Microsoft

✓
AI900

Azure AI Fundamentals

Microsoft · Verify credential ↗

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AWS

AWS Certified Cloud Practitioner

Amazon Web Services · Verify credential ↗

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ITIL

ITIL 4

PeopleCert · Verify credential ↗

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AI+

Foundation of AI, Gen AI & Prompt Engineering

Deccansoft

✓
PY

Python using AI

AI for Techies

✓
VLSI

Advanced VLSI Design & Verification

Maven Silicon

✓
SPI

Internship on SPI and UART Protocols

Maven Silicon

✓

For recruiter verification, compare each credential with its issuer record. View professional profile ↗

THE ENGINEERING JOURNAL

Ideas, documented. Lessons shared.

Notes from building, troubleshooting, and learning across cloud infrastructure, Terraform, Kubernetes, and DevOps.

FIELD NOTE / 01AZURE
LANDING ZONE
↗
AZURE · ARCHITECTURE

Enterprise Azure Landing Zone

Reusable infrastructure, governance, networking, monitoring, and controlled CI/CD workflows.

FIELD NOTE / 02TERRAFORM
MULTI-CLOUD
↗
TERRAFORM · MULTI-CLOUD

Terraform Multi-Cloud Infrastructure

Provisioning patterns across Azure and AWS using Infrastructure as Code.

FIELD NOTE / 03WHY SMART
ENGINEERS DON'T CLICK
↗
AUTOMATION · MINDSET

Part 1 — Why Smart Engineers Don’t Click Anymore

Why repeatable workflows and automation matter more than manual, one-off changes.

FIELD NOTE / 04KUBERNETES
FROM BASICS
↗
KUBERNETES · LEARNING SERIES

Kubernetes From Basics to Advanced — Part 1

Fundamentals that help explain how Kubernetes workloads and core resources fit together.

FIELD NOTE / 05DETECT
INFRA DRIFT
↗
TERRAFORM · GOVERNANCE

Why Infrastructure Changes Without Your Code

A practical look at configuration drift, plan review, and safer infrastructure workflows.

FIELD NOTE / 06ZERO TRUST
ACCESS
↗
AZURE · SECURITY

Building Zero-Trust Access to Private Azure Infrastructure

Identity-driven access, authorization, private networking, and controlled SSH access with HCP Boundary.

MORE NOTES, TUTORIALS & BUILD LOGSBrowse technical blog ↗Visit Hashnode ↗

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NEXT UP: SOMETHING GREAT

Have a cloud challenge?
Let's build it better.

I'm interested in Azure Cloud, Cloud Operations, and DevOps opportunities where I can learn, automate, and deliver reliable systems.

SAI KRISHNA / CLOUD & DEVOPSBUILT WITH CURIOSITY, NOT COPY-PASTE.