Hi, I'm Tanul have 6+ years of experience in DevOps operations. I'm an Innovative Senior DevOps Engineer with a strong Linux background of experience designing, implementing, and managing cutting-edge deployment automation of cloud resources. Highly experience in supporting, automating, and optimizing mission-critical deployments in AWS, leveraging configuration management, CI/CD, and DevOps processes. I tend to specialize in jobs involving Amazon Elastic Container Service (Amazon ECS), Lambda, and AWS RDS. Still, I also have lots of experience with S3, IAM, SES, SQS, SNS, EC2, and DynamoDB. DevOps tools & scripting languages that I've worked on- ======================================== Cloud Computing - AWS - Azure - Digital Ocean - GCP - Ali Cloud - Heroku - Oracle Cloud - Open Stack CI/CD - Jenkins - AWS Code Pipeline - AWS Code Deploy - AWS Code Build - GCP Cloud Build - Gitlab CI/CD - Bitbucket CI/CD - Bamboo - Github CI/CD - Heroku CI/CD Infrastructure As Code - Terraform - Cloud Formation - Ansible Scripting/Automation - Bash/Shell Script - Python Scripting Configuration Management Tools - Ansible - Puppet Monitoring - Check_MK - Nagios - Prometheous and Grafana - Elastic Search - Kibana - Logstash - Cloud Watch - Cloud Trail - Zabbix - Cacti - Pingdom - Data dog - Azure Monitor Containerization and Orchestration - Docker - Kubernetes - AWS EKS - AWS ECS - GCP GKS - Azure AKS - Azure ACS - OpenShift Web Servers - Nginx - Apache - Apache Tomcat - HAproxy - IIS Application Servers - PM2 - Puma - Node.js - PHP - ROR - .Net - Python/Django - Wildfly/Jboss - .Net Core - Java Version Control System - Bitbucket - AWS Code Commit - Azure Repos - Gitlab - Github Databases - MySQL - Postgres - MongoDB - MariaDB - Redis - Memcache - Memory Store - AWS RDS Service - MS SQL Most recently, as an AWS Certified Architect, I have specialized in AWS solutions and have been working for the last years providing independent consultors to many companies. I have strong experiences with many specialized AWS services, such as Lambda, IoT, Kinesis, Redshift, Glue, and Athena. Thanks Tanul

Your cloud bill is not a fixed cost. It's an engineering problem - and I solve it. Most companies overpay AWS or GCP by 30-70%. The money is hiding in untagged resources, oversized nodes, idle NAT gateways, and architectures that were designed to work - not to scale economically. I find it, I fix it, and I deliver measurable ROI within the first 30 days. With $900K+ earned on Upwork, 100% Job Success Score, and 19+ years as a CTO and Cloud Architect, I bridge Engineering and Finance - translating infrastructure complexity into business impact your CFO can read. Typical Problems I Solve → AWS or GCP costs are too high and growing month over month → No visibility into what's driving cloud spend → Need a cloud infrastructure audit before scaling → AI workloads are expensive and unpredictable to run → Compliance requirements (SOC 2, GDPR, HIPAA) creating engineering debt → Architecture needs redesign for cost-efficiency before next funding round Proven Client Results ▪️ Shoebacca (Large US E-commerce) → Challenge: AWS costs exceeded budget by 40%, with no tagging, no FinOps governance, and no cost visibility. → Solution: EKS rightsizing, NAT/ALB/EBS audit, serverless Lambda migration, full FinOps governance with cost allocation tags. → Business Impact: $264,000 annual savings - AWS costs cut by 75% in one week. ▪️ US Influence Platform → Challenge: Monthly AWS bill uncontrolled, infrastructure unaudited, site latency degrading. → Solution: Infrastructure audit + Terraform migration + reserved instance strategy. → Business Impact: Monthly AWS bill reduced by 50%. Site latency improved as a bonus. ▪️ ChilliSauce (UK Event Agency) → Challenge: AWS ECS/Fargate costs growing with no optimization strategy. → Solution: Continuous FinOps management, ECS rightsizing, Fargate cost controls. → Business Impact: 30% cost reduction maintained continuously. ▪️ Datos Health (Israeli HealthTech) → Challenge: No monitoring or alerting on GCP infrastructure - production issues discovered by users. → Solution: Monitoring and alerting built from scratch with Prometheus and Grafana on GCP. → Business Impact: Zero production blind spots. Engineering team now detects issues before users do. Core Delivery Areas → Forensic Cloud Cost Audits - identify immediate 20%+ savings before writing a single line of IaC → FinOps in CI/CD - cost guardrails embedded directly in your deployment pipeline, not managed by your finance team → AI workload cost optimization - GPU orchestration, vector database cost management, LLM infrastructure efficiency → Spot/Reserved Instance Strategy & Orchestration → Serverless architectural redesign (Lambda, ECS/Fargate) for cost-efficient scaling → DevSecOps: SOC 2, GDPR, HIPAA compliance, Zero Trust architecture, IAM hardening Stack: AWS (EKS, Lambda, EC2, S3, RDS, CloudFront) · GCP · Terraform · Kubernetes · Docker · GitHub Actions · ArgoCD · Prometheus · Grafana · Datadog · Apache Kafka · PostgreSQL · AI workloads Available during US business hours (EST/PST overlap). Cloud cost optimization is the highest-ROI DevOps investment in 2026. Send an invite - I'll show you exactly where your cloud budget is leaking.

Building RESTful APIs using Java, Node.js, Firebase, and Supabase - Designing cloud architectures (AWS, GCP, Terraform, Terragrunt, CloudFormation) with a focus on cost optimization and security - Developing CI/CD pipelines (GitHub Actions, Bitbucket Pipelines, Devtron, ArgoCD) from basic to multi-stage workflows - Managing and deploying applications on Kubernetes (EKS, GKE, DOKS) with tools like Helm, ArgoCD, and Devtron. - Implementing monitoring and observability with Grafana, Prometheus, Loki, ELK Stack, Datadog, and Cloud-native monitoring tools - Working with event-driven systems using Apache Kafka - Building and managing private and public resources in the cloud (AWS, GCP) - Ensuring cloud security, compliance, and best practices across infrastructure and applications

Spending hours on deployments that should take minutes? Cloud costs spiraling out of control? Dealing with downtime costing your business thousands? I've solved these exact problems for startups and enterprises. As an AWS Certified Solutions Architect and Certified Kubernetes Administrator, I transform chaotic infrastructure into reliable, automated systems that save time and money. 🎯 PROVEN RESULTS: ✓ Reduced deployment time from hours to minutes using automated CI/CD pipelines ✓ Cut infrastructure costs by 20-35% through AWS optimization and right-sizing ✓ Improved application performance by 40% with Kubernetes and Docker orchestration ✓ Achieved 99.9% uptime for mission-critical production environments ✓ Completed 40+ projects with 100% client satisfaction—Top Rated on Upwork 💡 WHAT I DELIVER: ☁️ CLOUD INFRASTRUCTURE (AWS & AZURE) - Infrastructure as Code with Terraform and CloudFormation - Multi-region AWS architectures (VPC, EC2, ECS, EKS, Lambda, S3, RDS) - Serverless solutions with AWS Lambda and API Gateway - Cloud migration with zero downtime → Result: 99.9% uptime, 30% cost reduction 🔄 CI/CD PIPELINE IMPLEMENTATION - Automated pipelines using Jenkins, GitHub Actions, GitLab CI, AWS CodePipeline - GitOps workflows with ArgoCD and Flux for Kubernetes - Zero-downtime blue-green and canary deployments - Automated testing with SonarQube and security scanning → Result: Deploy 10x faster with 99.8% success rate 🐳 CONTAINERIZATION & KUBERNETES - Docker containerization for any stack (Java, Node.js, Python, React, PHP) - Production Kubernetes clusters on AWS EKS and Azure AKS - Helm charts and microservices architecture design - Service mesh with Istio for traffic management → Result: Scalable, portable applications ⚙️ INFRASTRUCTURE AUTOMATION - Ansible playbooks for configuration management - Python and Bash scripting for DevOps automation - GitOps ensuring versioned, auditable infrastructure changes → Result: 80% reduction in manual setup time 📊 MONITORING & SRE - Prometheus, Grafana, ELK Stack, AWS CloudWatch, Datadog - Real-time alerting and incident response automation - Log aggregation with Elasticsearch, Logstash, Kibana - Performance tuning for high-traffic applications → Result: Detect issues before customers notice 🔒 SECURITY & DEVSECOPS - Vulnerability scanning with Trivy, Snyk, OWASP ZAP in CI/CD - AWS IAM, security groups, secrets management (Vault, AWS Secrets Manager) - Compliance frameworks (CIS benchmarks, PCI-DSS) - Container security and image scanning → Result: Pass security audits with confidence 🗄️ DATABASE & OPTIMIZATION - AWS RDS (MySQL, PostgreSQL, MongoDB) with automated backups - Database migration with AWS DMS—zero downtime - Redis and ElastiCache for caching - Multi-region replication for disaster recovery → Result: 99.99% data availability 🛡️ DISASTER RECOVERY & HIGH AVAILABILITY - Multi-region failover with Route 53 and CloudFront - Auto-scaling and load balancing (ALB, NLB) - Automated backup strategies → Result: Business continuity guaranteed 📋 MY APPROACH: 1. Free 30-min Infrastructure Audit—identify bottlenecks, security gaps, and cost savings 2. Custom 90-day roadmap with clear milestones and ROI 3. Implementation using best practices and Infrastructure as Code 4. Complete documentation, runbooks, and team training 5. Ongoing support and continuous improvement 🏆 WHY CLIENTS CHOOSE ME: ✓ Top 10% on Upwork—100% Job Success Score ✓ Lightning-fast response (0-4 hours average) ✓ Complete documentation with every project ✓ Post-deployment support included ✓ Transparent daily updates, no surprises 🎓 CERTIFICATIONS: AWS Solutions Architect | Azure Administrator | Certified Kubernetes Administrator (CKA) | Cybersecurity Professional | Docker Certified 🔧 TECH STACK: Cloud: AWS (EC2, ECS, EKS, Lambda, S3, RDS, VPC, CloudFront, Route 53), Azure, GCP IaC: Terraform, CloudFormation, AWS CDK, Ansible Containers: Docker, Kubernetes, Helm, ECS, Fargate CI/CD: Jenkins, GitLab CI, GitHub Actions, AWS CodePipeline, ArgoCD, Flux Monitoring: Prometheus, Grafana, ELK, CloudWatch, New Relic Scripting: Python, Bash, Node.js Databases: MySQL, PostgreSQL, MongoDB, Redis, RDS, ElastiCache Security: Trivy, Snyk, SonarQube, OWASP, Semgrep, AWS IAM Networking: Load Balancers, API Gateway, VPN, Security Groups Messaging: RabbitMQ, SQS, SNS, Kafka 💬 READY TO TRANSFORM YOUR INFRASTRUCTURE? Free 30-minute consultation to: - Identify your biggest bottlenecks - Discuss cost-saving opportunities (20-35% typical) - Map out a clear implementation plan - Answer all technical questions—no commitment Message me now! I respond within 1-4 hours. 🌍 Available for short-term projects and long-term partnerships.

Hello! I'm Harsh, a certified AWS DevOps Engineer passionate about transforming cloud infrastructure through innovative solutions. I focus on automating workflows, building scalable cloud systems, and eliminating bottlenecks to save time and money. 🔧 How I Transform Projects: ✓ Streamlined Integration: Connecting dev and ops for efficient workflows. ✓ Dynamic Infrastructure: Designing and building cloud/cluster infrastructure as per client requirements. ✓ Advanced CI/CD: Building production-grade security-focused pipelines that integrate multiple tools for seamless delivery. ✓ Comprehensive Troubleshooting: Resolving complex system, network, service, and tool-related issues across environments. ✓ Optimization: Enhancing cloud resources for better scalability, reliability, and performance. 🛠️ TECH STACK: → Cloud: AWS (Highly Expert) | Azure → IaC: Terraform (Highly Expert) | CloudFormation → CI/CD: Jenkins | GitHub Actions (Highly Expert) | GitLab CI | AWS CodePipeline | ArgoCD → Containers: Docker (Highly Expert) | Kubernetes EKS (Highly Expert) | Kubernetes ECS → Testing: Trivy | SonarQube → Security: Owasp | Aqua Security | Dockle → Config Mgmt: Ansible → Tools: Apache HTTP Server | Nginx | EasyPanel/CloudPanel (Highly Expert) → Compliance: Vanta | Kyverno | Prowler → Networking: SSL/TLS | Firewalls | DNS | API Gateway | NACL | WAF | Calico | Istio → Monitoring: Cloudwatch | Prometheus+Grafana | EFK Stack → Scripting: Python | Bash (Highly Expert) | AWS Lambda → OS: Linux (Highly Expert) | Windows Server | MacOS 🎓 CERTIFICATION: ✓ AWS Cloud Practitioner ✓ Microsoft Azure Fundamentals (AZ-900) ✓ Microsoft Security, Compliance, and Identity Fundamentals (SC-900)

I run production infrastructure that cannot go down: 130+ Linux servers across 34 countries, serving 100,000+ users, 24×7 — as Technical Lead of a globally distributed connectivity platform. 15+ years across Linux, cloud, DevOps, and software engineering. I don't just set things up — I automate them so they stay reliable long after the contract ends. WHAT I DO BEST ✅ Infrastructure as Code — reusable Ansible roles & Terraform covering the full server lifecycle: provisioning, hardening, TLS, monitoring, zero-downtime rollout ✅ CI/CD — Jenkins, GitHub Actions, GitLab CI; pipeline-as-code for Docker & Kubernetes deployments ✅ Multi-cloud — AWS, Azure, DigitalOcean, OVHcloud and 12+ more providers, selected and managed on cost, latency, and reliability ✅ Networking & security — WireGuard & IPsec/IKEv2 VPNs, Nginx/HAProxy load balancing & TLS termination, iptables/nftables, fail2ban, DPI-based abuse mitigation (nDPI) ✅ Observability & SRE — Prometheus, Grafana, Loki; incident response, root-cause analysis, data-driven capacity planning ✅ Kubernetes & containers — Docker, Helm, EKS, ArgoCD GitOps WHY CLIENTS REBOOK ME (see "Committed to Quality ×41 · Reliable ×41" in my work history) • I treat your uptime, security, and cloud bill as my own responsibility • Zero-downtime changes: rolling updates with health gates — never big-bang • Clear communication and documentation: you always know what I did and why • PKT (UTC+5): full overlap with Gulf & EU hours; evenings overlap US East RECENT WORK ✅ Scaled a production platform 4x (30 → 130+ servers) while migrating CentOS to Ubuntu with zero service interruption ✅ CI/CD for Java apps on AWS · Kubernetes + ArgoCD production setup · AWS VPC automation with Ansible ✅ ISP-grade traffic classification (nDPI) driving automated abuse mitigation at the network edge CERTIFICATIONS: Microsoft Azure Fundamentals · Cisco Certified Specialist (Security Core) · HCIE Routing & Switching Tell me what you're building — I'll help you run it better, faster, and safer.

🌟 5+ Years of Experience in AWS, Azure & GCP 🔹 Expert in Cloud Infrastructure, CI/CD, & DevOps Automation 🔹 Trusted by Startups & Enterprises Worldwide 💡 About Me Hi there! I’m Yasir Ali, a highly skilled DevOps Engineer & Cloud Solutions Architect with years of experience helping businesses streamline their cloud infrastructure and DevOps workflows. Having worked as an engineer at Al Nafi and collaborated with multiple software firms, I specialize in designing and developing, managing, and optimizing scalable, secure, and cost-efficient cloud solutions. I’ve successfully delivered 250+ projects for businesses worldwide, from start-ups to large enterprises. Whether you need to automate workflows, improve cloud security, or optimize infrastructure, I’m here to help you achieve faster, more reliable, and scalable deployments. ----------------------------------------------------------- 🛠️ Tools ----------------------------------------------------------- ✅ Container Engines 🔹 Docker 🔹 Podman 🔹 containerd 🔹 CRI-O 🔹 LXC/LXD 🔹 Buildah 🔹 rkt (Rocket) ✅ Orchestration Tools 🔹Kubernetes (K8s) 🔹OpenShift 🔹Rancher 🔹VMware Tanzu 🔹Google Kubernetes Engine (GKE) 🔹Amazon Elastic Kubernetes Service (EKS) 🔹 Azure Kubernetes Service (AKS) 🔹 K3s 🔹 MicroK8s 🔹 Docker Swarm 🔹Nomad (HashiCorp’s) 🔹 Mesos/Marathon ✅ Container Networking & Service Mesh 🔹 Cilium 🔹 Calico 🔹 Flannel 🔹 Istio 🔹 Linkerd 🔹 Weave ✅ Container Storage & Volume Management 🔹 Longhorn 🔹 Portworx 🔹 ODF 🔹 Rook 🔹 OpenEBS 🔹 Ceph ✅ Container Security & Compliance 🔹 Trivy 🔹 Kyverno 🔹 Anchore 🔹 Sysdig Falco 🔹Clair 🔹 OPA (Open Policy Agent) ✅ Container Observability & Monitoring 🔹 Prometheus 🔹 Grafana 🔹 Loki 🔹 Fluentd 🔹 OpenTelemetry 🔹Jaeger 🔹 Elasticsearch, Logstash, Kibana (ELK Stack) 🔹 AWS CloudWatch ✅ CI/CD & GitOps for Containerized Workloads 🔹ArgoCD 🔹FluxCD 🔹Tekton 🔹Jenkins 🔹Drone CI 🔹Spinnaker 🔹GitLab CI/CD 🔹Azure DevOps 🔹GitHub Actions ✅ Provisioning Tools (Declarative IaC) 🔹 Terraform 🔹 Pulumi 🔹 AWS CloudFormation 🔹 Azure Resource Manager (ARM Templates) 🔹 Google Cloud Deployment Manager 🔹 Crossplane ✅ Configuration Management Tools (Imperative IaC) 🔹 Ansible 🔹 Chef 🔹 Puppet 🔹 SaltStack ✅ Container & Kubernetes IaC 🔹 Helm 🔹 Kustomize 🔹 Kubectl (K8s YAML files) 🔹 Operator Framework 🔹 Cluster API ✅ Serverless & Cloud-Native 🔹 AWS Lambda 🔹 Azure Functions 🔹 Google Cloud Run ✅ Shell Scripting (Unix/Linux) 🔹 Bash 🔹 Zsh 🔹 PowerShell 🔹 KornShell (ksh) ✅ Python (Most Versatile) ✅ Groovy If you’re looking for a top-tier DevOps Engineer | Cloud Solution Architect to optimize, secure, and scale your cloud infrastructure, let’s connect and discuss your project today! 📩 Let’s build something great together!

Thanks for viewing my profile. - Certified AWS Solutions Architect I deliver my work at 100% quality and accuracy! I have Consistently proven my ability to provide outstanding customer service and solve most difficult of technical issues. I have 10+ years of experience as a Linux, Windows administration, Nagios, Devops and AWS Cloud. Highly competent, dynamic and motivated Professional with several years of comprehensive experience in Amazon Web Services, High Availability architecture, Linux/Windows system administration, Fault resolutions, troubleshooting, guiding & mentoring. A versatile Professional possesses a high awareness of practical issues and trends, particularly regarding accessibility, usability and emerging technologies in the Cloud and IT Industry. Results-oriented professional with proven ability of excellence to get results, conduct researches, ensure adequate supervision and efficiency. Excellent team player with a high capacity to organise and present complex solutions clearly and accurately. Operating Systems - Debian,CentOS,Fedora,Redhat,Ubuntu, Windows Family. Cloud Platforms - AWS, Azure, IBM Softlayer, etc. Automation tools - Ansible, terraform, Chef, Puppet, AWS OpsWork, etc. Devops Tools - Jenkins, Git, Bamboo, Cloud Formation, etc.. Monitoring Solutions- Nagios, NagiosXI, Distributed Monitoring, Businness Process Module, NRPE, Perf. Data Graphs, SNMP & Trap Programming - Shell & Perl Scripting Virtualization - OpenStack, Vmware ESXi, VirtManger, etc. Managed Database - Mysql, MariaDB, MSSQL, Oracle, MongoDB. Experties : - Different clouds like AWS, Azure, Rackspace, IBM Softlayeretc. - Infrastructure Design, Develop and Administration. - SLA Based In Monitoring, Reporting Auditing Solution Provider. Nagios, - Scripting to automate repetitive tasks - Infrastructure automation and Devops work. Performance Tuning and Hardening. I believes in client's satisfaction and perfect job delivery and I want to earn your business and help you succeed with your next project or job!

I’m Eric L, a senior DevOps / Cloud engineer with 20+ years in IT, specializing in containerized infrastructures (Docker, Kubernetes) and secure cloud architectures on AWS and Azure. I focus on building stable, scalable platforms and integrating DevSecOps practices, application security, and strong observability into cloud-native environments. I also have hands-on experience designing and operating Azure AI workloads (Azure OpenAI, Azure AI Search, RAG-style systems) with proper CI/CD, monitoring, and governance, which translates well to clients exploring AI adoption on top of existing infrastructure. If you need someone who can design, implement, and own your infrastructure—and also support practical Azure AI integrations—I can help. Technical Skills & Expertise * Cloud Platforms: AWS, Azure, Google Cloud Platform, DigitalOcean * Containerization & Orchestration: Kubernetes, Docker, Amazon ECS, Azure AKS for scalable, secure, and testable application deployments * CI/CD: Jenkins, GitLab CI/CD, Azure DevOps, GitHub Actions, Travis CI, CircleCI; build/release pipelines, environment promotion, and automated testing * Version Control: Git, GitHub, Bitbucket, GitLab; branch strategies and workflow design * Infrastructure as Code: Terraform, AWS CloudFormation for repeatable, reviewable infrastructure * AI & Azure AI: Azure OpenAI and Azure AI Search (hybrid/vector) for RAG-based systems, AI lifecycle management with Azure DevOps pipelines, and monitoring Azure AI workloads (latency, token usage, availability) with Application Insights * Observability: Azure Monitor/App Insights, Datadog, ELK Stack, Prometheus, Grafana for performance, reliability, and supporting incident response and security investigations across Kubernetes and cloud services * Application Security & DevSecOps: Integrating security into CI/CD pipelines, working with OWASP Top 10 issues (SQLi, XSS, access control, misconfigurations), and building systems explicitly used for security testing in controlled environments * Networking & Security: VPC design, VPNs, load balancing, firewall management, access control, and hardened service configurations for regulated workloads (healthcare/finance) * Operating Systems: Linux (Ubuntu, CentOS, RHEL), Windows Server administration and automation * Scripting & Automation: Bash, Python, PowerShell for tooling, automation, and glue code across systems Certifications AWS Certified DevOps Engineer – Professional AWS Certified Solutions Architect – Professional AWS Certified Developer – Associate AWS Certified SysOps Administrator – Associate Microsoft Certified: DevOps Engineer Expert Microsoft Certified: Azure Solutions Architect Expert Microsoft Certified: Azure Administrator Associate Microsoft Certified: Azure AI Engineer Associate. Certified Kubernetes Administrator (CKA) Certificate of Cloud Security Knowledge (CCSK) – Cloud Security Alliance Cisco CyberOps Associate ITIL 4 Foundation Microsoft Certified: Azure AI Engineer Associate – in progress (AI-102) How I Can Help * Design and implement cloud-native infrastructures (AWS/Azure) with Kubernetes, containers, and Infrastructure as Code * Build and improve CI/CD pipelines with integrated security checks and automated deployments * Implement observability around critical services and AI workloads to improve reliability and shorten incident response times * Build and support environments used for security testing and assessments, including systems designed to expose intentional vulnerabilities in controlled settings * Support practical Azure AI initiatives (Azure OpenAI, Azure AI Search, RAG) with sound infrastructure, governance, and monitoring

Cut deployment time from 6 hours to 15 minutes while maintaining 99.9% uptime for 5M+ daily users. Proven DevOps Engineer transforming complex infrastructure into automated, scalable systems. DevOps Engineer with 13+ years building and optimizing cloud infrastructure for startups through Fortune 500 companies. Successfully delivered 12,000+ hours of DevOps projects with 100% client satisfaction and Top Rated status. With extensive experience across all major cloud providers (AWS, GCP, Azure), I help fast-growing companies and enterprises transform chaotic infrastructure into automated systems that scale seamlessly without breaking the bank or keeping you up at night. What I Deliver: ✓ Cloud Infrastructure Optimization - Reduce your AWS/Azure/GCP costs by 30-50% while improving performance and reliability through strategic architecture, rightsizing, and auto-scaling implementations ✓ CI/CD Pipeline Automation - Cut deployment time from hours to minutes with robust Jenkins, GitHub Actions, or GitLab CI pipelines that enable daily releases with zero downtime ✓ Kubernetes at Scale - Build container orchestration systems handling millions of daily users with 99.9%+ uptime, auto-scaling, and disaster recovery capabilities ✓ DevSecOps Implementation - Integrate security from day one with automated compliance checking, vulnerability scanning, and infrastructure hardening that passes SOC2, HIPAA, and PCI-DSS audits ✓ Infrastructure as Code - Create reproducible, version-controlled infrastructure using Terraform, Ansible, and CloudFormation that can rebuild your entire environment in minutes CLOUD PLATFORMS: AWS (Expert): EC2, RDS, S3, CloudFront, Lambda, ECS, EKS, CloudFormation, VPC, IAM, Route53, CloudWatch Azure: VM, AKS, Azure DevOps, ARM Templates, Azure Functions GCP: Compute Engine, GKE, Cloud Functions, Cloud Build Digital Ocean: Droplets, Managed Kubernetes DEVOPS & AUTOMATION: Configuration Management: Ansible, Chef, Puppet Containerization: Docker Compose, Kubernetes, Helm Charts CI/CD Tools: Jenkins (Expert), Bamboo, GitHub Actions, GitLab CI Deployment: Fabric, Capistrano, Ansible, ArgoCD Infrastructure as Code: Terraform (Expert), CloudFormation, Ansible MONITORING & OBSERVABILITY: Free/Open Source: Nagios, Zabbix, Prometheus, Grafana Enterprise: Newrelic, Datadog, Pingdom, CloudWatch On-Call: VictorOps, PagerDuty SECURITY & COMPLIANCE: DevSecOps Tools: Kali Linux, Metasploit, Maltego, Burpsuite, Fiddler, Kismet, Wireshark, Zaproxy, Wazuh Security Frameworks: SOC2, HIPAA, PCI-DSS compliance implementation Vulnerability Management: Automated scanning, penetration testing, security hardening HIGH AVAILABILITY & PERFORMANCE: Load Balancing: HAProxy, F5, ELB, Envoy Scripting: Bash, Python, Ruby (automation and tooling) Documentation: Confluence, Twiki Testing: Test-Kitchen, Apache-Benchmark DATABASES & SERVERS: MySQL, PostgreSQL, Oracle Apache, Nginx, IIS, vsftpd OPERATING SYSTEMS: Unix, RedHat/Ubuntu, Windows (all versions) Virtualization: VirtualBox, VMWare, Vagrant BUILD TOOLS: Makefile, Ant, Maven I follow AWS Well-Architected Framework principles and embrace security-first design from the ground up. Every infrastructure I build includes comprehensive documentation, runbooks for on-call teams, and knowledge transfer to ensure your team can maintain and extend the systems I deliver. My approach emphasizes collaboration with development teams, establishing clear SLAs, implementing comprehensive monitoring, and building systems that are both powerful for experts and accessible to your broader team. REAL RESULTS FROM RECENT PROJECTS: SaaS Platform Cost Optimization: Reduced AWS infrastructure costs from $45K/month to $18K/month (60% savings) for e-commerce client by implementing auto-scaling groups, rightsizing EC2 instances, and strategic spot instance usage—all while improving uptime from 97% to 99.9%. Enterprise Kubernetes Migration: Migrated 50+ microservices from monolithic architecture to Kubernetes. Reduced deployment time from 6 hours to 15 minutes, enabled daily feature releases, and built auto-scaling infrastructure supporting 5M+ daily active users using RKE2 on-prem Infrastructure Monitoring & Alerting: Implemented comprehensive Nagios monitoring system for 500+ servers, reducing mean time to detection (MTTD) from 45 minutes to under 2 minutes. Proactive alerting prevented 15+ potential outages in first 90 days. Ready to Transform Your Infrastructure? I take on 2-3 new clients monthly to ensure exceptional quality and attention. If you're facing infrastructure challenges, scaling issues, or excessive cloud costs, let's discuss how I can help. Portfolio: iamrawtion.github.io Blog: roshannagekar.blogspot.com Message me with your specific infrastructure challenges, timeline, and current pain points to see if we're a good fit to work together.