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Hussein Reslan, back to top

all systems operational* (footnote: decorative)Beirut, Lebanon

HusseinReslan, DevOps, Cloud Architect, AI & Platform Engineer

Making production boring.1 (footnote: definition of boring)

I’m Hussein. For more than five years I’ve designed Azure infrastructure, run production Kubernetes and automated the path from commit to customer, lately with a growing dose of AI. The goal never changes: platforms that are secure, recoverable and calm on release day.

Explore my workLinkedIn (opens in a new tab)Contact me

1 · boring, adj. Predictable, observable, recoverable. The highest compliment a platform can receive.

* Decorative status light. This is a portfolio, not a NOC.

Illustrated portrait of Hussein Reslan in a navy blazer, surrounded by Azure, Kubernetes, Docker and code icons.
Tap a component to inspect it.
Conceptual architecture · illustrative, not a live system

01whoami

A hands-on engineer who still reads the logs.

kubectl describe engineer hussein-reslan
Name:
hussein-reslan
Roles:
DevOps · Cloud Architect · AI & Platform Engineer
Location:
Beirut, Lebanon
Experience:
5+ years (since 2020)
Focus:
Azure · Kubernetes · Platform · AI
Practices:
Automation · Reliability · DR · Compliance
Education:
B.S. Computer Science, Lebanese University
Languages:
Arabic (native), English (professional)
Status:
Running
Conditions:
TypeStatus
AutomatedTrue
ObservableTrue
RecoverableTrue
AuditReadyTrue

I design, build and run cloud platforms: Azure infrastructure, production Kubernetes and the automation that carries code from commit to customer. More than five years in, the goal is the same: make software delivery repeatable, secure and calm.

That work spans AKS environments, reusable Azure DevOps pipelines, infrastructure as code with Terraform and Bicep, and highly available PostgreSQL with Patroni and HAProxy. The common thread: take the fragile, manual parts of delivery and turn them into something repeatable.

Reliability is more than uptime. I work on disaster recovery, operational readiness and the compliance side of the platform, contributing to audit readiness for certification efforts such as SOC 2 and ISO/IEC 42001. I also mentor engineers and help shape platform standards, without stepping away from the terminal.

Lately I’ve been bringing AI into that picture: assistants on Azure OpenAI, local LLMs, retrieval-augmented generation and agents. Not because it’s fashionable, but where it removes real toil.

Operating principles

  1. 01Automate the second time

    If a task has been done twice by hand, the third run belongs in a pipeline, a script or a template.

  2. 02Reliability is a feature

    Scalable, observable platforms beat heroic on-call. Design for failure, and know exactly how you recover.

  3. 03Secure by default

    Least privilege, secrets in a vault, guardrails in the pipeline. Audit readiness should be a by-product of good engineering, not a quarterly scramble.

  4. 04Developers are the customer

    A platform is working when shipping is the easy part of a developer’s week.

  5. 05Make it legible

    Infrastructure should be easy to understand, operate and hand over at 3 a.m.

  6. 06AI where it earns its keep

    Practical automation and better tooling over demos. If it doesn’t remove toil, it’s a toy.

02helm history hussein

Five years, three releases, zero rollbacks.

Every role at Bottomline Technologies, from the first pipeline to running the department.

$ helm history hussein --namespace career
Career history as release revisions, oldest first
REVISIONUPDATEDSTATUSCHART
12020supersededdevops-engineer
22023supersededsenior-azure-devops-engineer
32025deployedhead-of-devops

  1. rev 12020 – 2023superseded

    DevOps Engineer

    Bottomline Technologies · Pipelines, containers & Azure foundations

    Built the delivery foundations: CI/CD pipelines, containerized applications and Azure infrastructure for enterprise apps.

    Release notes

    • Built and maintained Azure DevOps CI/CD pipelines for enterprise applications.
    • Managed Azure infrastructure: virtual machines, networking, storage and application hosting.
    • Containerized applications with Docker and deployed workloads to Kubernetes.
    • Automated infrastructure provisioning, deployments and operational processes.
    • Supported PostgreSQL administration, monitoring, troubleshooting and high availability.
    • Azure DevOps
    • Azure VMs
    • Networking
    • Docker
    • Kubernetes
    • PostgreSQL

  2. rev 22023 – 2025superseded

    Senior Azure DevOps Engineer

    Bottomline Technologies · Production Kubernetes & highly available data

    Designed and ran production AKS environments, reusable delivery pipelines and highly available PostgreSQL.

    Release notes

    • Designed and managed production Azure Kubernetes environments.
    • Built reusable Azure DevOps CI/CD pipelines.
    • Automated application deployments and environment provisioning.
    • Ran Azure PostgreSQL Flexible Servers and high availability with Patroni and HAProxy.
    • Implemented monitoring, logging and scalability, and optimized Kubernetes resource allocation.
    • AKS
    • Azure DevOps
    • PostgreSQL Flexible Server
    • Patroni
    • HAProxy
    • Monitoring

  3. rev 32025 – Presentdeployed

    Head of DevOps

    Bottomline Technologies · Platform strategy & the team behind it

    Leading the DevOps department: cloud infrastructure strategy, platform reliability, automation and engineering standards.

    Release notes

    • Lead and mentor the DevOps engineering team.
    • Define cloud architecture, deployment standards and platform governance.
    • Oversee Azure cloud infrastructure and Kubernetes platforms.
    • Drive infrastructure automation and CI/CD improvements with engineering teams.
    • Own infrastructure cost optimization, security, disaster recovery and operational excellence.
    • Contribute to audit readiness and compliance requirements for certification efforts, including SOC 2 and ISO/IEC 42001.
    • Azure
    • Kubernetes
    • CI/CD
    • Governance
    • Cost optimization
    • Disaster recovery
    • Compliance

03kubectl get capabilities --all-namespaces

The stack I operate, layer by layer.

No progress bars, no made-up percentages. Pick a layer to see what lives there and how I use it.

↑ applications & intelligence · ↓ foundations

ns/cloud · 11 resources

Cloud Architecture

Azure is home turf: designing and operating the infrastructure enterprise applications run on.

  • Microsoft Azure
  • Virtual Machines
  • Azure Networking
  • App Service
  • Azure Storage
  • Container Registry
  • Key Vault
  • Azure Monitor
  • Application Insights
  • Azure Functions
  • Service Bus

In practice

  • Compute, networking, storage and application hosting for enterprise workloads.
  • Secrets, registries, messaging and serverless as shared platform building blocks.
  • Observability through Azure Monitor and Application Insights.
bashillustrative
az aks show \  --resource-group rg-platform-demo \  --name aks-demo \  --query networkProfile
Inspecting a cluster’s network profile

04kubectl describe projects

Selected engineering work.

Three initiatives from my résumé, each with an interactive diagram. Press play to watch a request, a release or an automation run travel through the system.

case 01 · Cloud platform

Enterprise Cloud Platform

Scalable Azure infrastructure that enterprise applications can rely on.

Conceptual and simplified. Generic components, fictional names, no client or employer specifics.

Overview

Designed and maintained scalable Azure infrastructure supporting enterprise applications, built on Kubernetes, Azure networking, PostgreSQL, storage services and modern CI/CD practices.

The challenge

Enterprise applications need a platform that is secure, scalable and predictable to operate across environments and release cycles, without every team reinventing hosting, networking and deployment.

Approach

  • Containerized application hosting on Azure Kubernetes Service.
  • Azure networking and storage services as well-defined, shared building blocks.
  • PostgreSQL for application data, run with high availability in mind.
  • Modern CI/CD practices so every release takes the same, repeatable path.
  • Monitoring and logging designed into the platform, not bolted on afterwards.
  • Disaster-recovery and compliance requirements treated as part of the platform, not an afterthought.

Value

  • A consistent foundation for hosting enterprise applications on Azure.
  • Scalability and reliability engineered into the platform itself.
  • Repeatable, automated delivery from commit to cluster.

Technologies

  • Microsoft Azure
  • Kubernetes (AKS)
  • Azure networking
  • PostgreSQL
  • Azure Storage
  • CI/CD

case 02 · Applied AI

AI-Powered Enterprise Assistant

Natural-language assistants inside enterprise applications, built on Azure OpenAI.

Replay trace

Conceptual and simplified. Generic components, fictional names, no client or employer specifics. The conversation is fictional.

Overview

Designed AI assistants integrated into enterprise applications using Azure OpenAI Service to provide natural-language interaction, workflow automation and secure enterprise AI capabilities.

The challenge

People spend their day inside complex enterprise applications. The goal: let them ask for what they need in plain language, and have the assistant act within the same security boundaries as the application itself.

Approach

  • Assistants embedded in the applications people already use.
  • Azure OpenAI Service for natural-language understanding and generation.
  • Workflow automation, so the assistant can take action and not only answer.
  • Security as a design constraint: enterprise controls around access and data.

Value

  • Natural-language access to application capabilities.
  • Workflows automated through conversation.
  • AI capabilities delivered in a secure, enterprise-ready way.

Technologies

  • Azure OpenAI Service
  • Natural-language interfaces
  • Workflow automation
  • Enterprise security

case 03 · Automation

Enterprise Automation Platform

API-driven automation for infrastructure operations, deployments and environments.

Conceptual and simplified. Generic components, fictional names, no client or employer specifics. Log output is simulated.

Overview

Designed automation solutions to streamline infrastructure operations, deployments, environment management and operational workflows through APIs and intelligent automation.

The challenge

Manual infrastructure work does not scale. Environment requests, deployments and routine operations queue up behind the few people who know how to do them.

Approach

  • API-driven workflows for infrastructure operations and environment management.
  • Deployment orchestration through automated pipelines.
  • Automated provisioning instead of ticket-driven, hand-built environments.
  • Intelligent automation for recurring operational workflows.

Value

  • Fewer manual steps between a request and a working environment.
  • Consistent, repeatable deployments and operations.
  • Operational knowledge captured in workflows, not in people’s heads.

Technologies

  • APIs
  • Deployment orchestration
  • Environment provisioning
  • Intelligent automation

05chaos --enable --env=production

DevOps Playground

Welcome to the part of the website where production stability is optional. Think you can keep a cluster alive longer than the average Friday deployment?

on-callrotation: always
Illustration of Hussein at a laptop with a cup of coffee, floating among clouds, YAML, Kubernetes, PostgreSQL and Azure icons, with small robots helping out.
Hussein, one coffee into a Friday deploy. The robots are “helping”.
SEV-1production · Friday 16:59

Pod Panic

Production is on fire.

It’s Friday, 4:59 PM. Everything was fine. Then somebody deployed to production. You’re the on-call engineer: triage incidents, read the logs, roll back, scale out and keep both the error budget and the cloud bill alive until the weekend.

  • ~2½ minutes
  • mouse, touch or keyboard
  • sound off by default

Not a gamer? Poke around the terminal instead. Press ` anywhere to open it.

guest@control-plane: ~

control-plane shell v1.0: fictional and sandboxed. Nothing typed here is executed.

Type `help` for commands, or try `kubectl get pods`.

06page --on-call hussein --severity=friendly

Let’s build something reliable.

Platform engineering, Azure and Kubernetes architecture, DevOps leadership or practical AI: if it’s about shipping software safely, I’m happy to talk.

Primary channel

hsenreslan97@gmail.com
Write an email
Based in
Beirut, Lebanon
LinkedIn
linkedin.com/in/husseinreslan97 (opens in a new tab)
Languages
Arabic (native) · English (professional)