Official website of Aajera Banu (aajerabanu) at www.aajerabanu.me. Redis Certified Associate: Cloud Operator, Cloud & DevOps Engineer, and AWS & Cisco Networking Trainer at LIVEWIRE Salem. Author of Containers & Coffee. Specializing in high-performance Redis in-memory database operations, production Terraform IaC, Docker containers, Kubernetes clusters, automated GitOps CI/CD pipelines, and enterprise cloud architecture.
Redis Certified Cloud Operator • DevOps
I believe great infrastructure should be predictable, automated, and resilient. My work centers on designing automated cloud workflows using Terraform (IaC), containerizing applications with Docker, and establishing zero-touch CI/CD pipelines with Jenkins and GitHub Actions.
Currently, as an AWS and Networking Trainer at LIVEWIRE, I train engineering students in cloud architecture (EC2, S3, VPC, IAM) and Cisco CCNA networking (routing, switching, subnetting, VLANs). Teaching foundational concepts daily has strengthened my understanding of system architecture from the ground up.
Alongside DevOps, my background in MSc Data Science at Periyar University trains me to approach infrastructure telemetry, system monitoring, and automation logic with structured analytical rigor.
Architecting secure VPCs, EC2 compute instances, S3 storage buckets, and IAM role-based access controls.
Multi-stage Docker builds, Jenkins automation pipelines, and GitHub Actions workflows for rapid, reliable releases.
Routing protocols, subnet calculations, VLAN segmentation, and packet troubleshooting in active lab topologies.
Analytical problem-solving and structured algorithmic reasoning from Periyar University's MSc program.
Production-ready tooling and cloud frameworks I use to build, automate, and scale systems.
Experience my automated delivery workflow simulated live — from code commit to AWS production.
Production-grade implementations in AWS cloud automation, microservices, and enterprise networks.
AWS & Terraform
Architected and automated an enterprise AWS cloud topology using modular Terraform code. Configured dedicated VPC, public/private subnets across multiple AZs, NAT Gateways, EC2 instances, S3 storage buckets, and remote state locking.
CI/CD & Docker
Designed a continuous integration and automated deployment pipeline for containerized backend services. Integrated automated linting, unit test execution, multi-stage Docker builds, container vulnerability checks, and automated registry push on GitHub webhooks.
Nginx & Docker
Configured a production-grade Nginx reverse proxy and API Gateway managing traffic across multi-container Docker environments. Implemented SSL/TLS termination, custom load balancing algorithms, rate limiting, and real-time backend service health monitoring.
Training students and young engineers in AWS Cloud Computing and Cisco CCNA networking through theory and hands-on laboratory exercises.
Assisted in cloud infrastructure provisioning, Linux server administration, containerized application deployment workflows, and service health monitoring.
Advanced studies focusing on analytical modeling, statistical data analysis, data engineering algorithms, and structured problem-solving workflows directly applicable to complex infrastructure telemetry and automated systems.
Rigorous undergraduate foundation in pure and applied mathematics, discrete structures, numerical analysis, and mathematical modeling — cultivating strong analytical rigor, algorithmic problem-solving, and computational logic.
Official accreditations and digital skill badges earned from Redis and Amazon Web Services — styled in coffee & cloud harmony.
Verified in-memory database operations, high-availability clustering, and cloud administration.
Redis
Accreditation validating specialized competence in deploying and managing Redis in cloud environments: clustering, Sentinel HA, memory optimization, eviction policies, replication, and latency tuning.
Redis
Validates core competencies in Redis Cloud architecture, subscription setup, database provisioning, connection security, and caching integration.
Redis
Validates operational skills running production workloads on Redis Cloud: cluster throughput management, replication, persistence tuning, metrics, and automated scaling.
Verified cloud computing, distributed storage, virtual networking, and scalable compute from AWS.
Amazon Web Services (AWS)
Foundations of cloud computing paradigms, distributed infrastructure, security compliance, and core AWS service fundamentals.
Amazon Web Services (AWS)
Cloud storage mechanisms and data architectures: Amazon S3 object storage, Elastic Block Store (EBS), lifecycle tiering, and data retention.
Amazon Web Services (AWS)
Core cloud networking: Amazon Virtual Private Cloud (VPC), subnet segmentation, routing tables, Internet Gateways, and security groups.
Amazon Web Services (AWS)
Cloud compute virtual server architectures: Amazon EC2 instance families, AMI template configuration, auto-scaling compute groups, and sizing.
DevOps deep dives, cloud architectural blueprints, and hands-on tutorials covering AWS, Docker, Kubernetes, Terraform, and Cisco CCNA Networking.
They told you the cloud abstracts away networking. They were wrong. Here is how mastering packet flow, CIDR blocks, and routing tables transforms you from a script runner into an unstoppable Cloud & DevOps Architect.
Empowering 20+ engineering students and professionals with hands-on AWS infrastructure labs, Cisco packet tracing, and real-world mentorship.
Conducted an intensive 3-day training bootcamp covering AWS Compute (EC2), VPC Networking, Docker container deployment, and CI/CD workflow automation for aspiring cloud engineers.
Led a masterclass on Cisco networking fundamentals, VLSM subnetting calculations, switch VLAN trunking, and simulated enterprise routing topologies using Cisco Packet Tracer.
Invited as guest speaker to guide college students on transitioning from academic programming to production cloud infrastructure, modern DevOps tooling, and open-source contributions.
Presented research findings on combining cloud infrastructure monitoring metrics (AWS CloudWatch, Prometheus) with time-series machine learning models for proactive anomaly alerting.
Battle-tested, production-driven milestones inspired by global industry standards. Explore the complete curriculum, key tools, and hands-on lab checkpoints below, or experience the full interactive flowchart engine on Containers & Coffee.
Mastering the OSI 7-layer model, encapsulation, TCP 3-way handshakes, UDP flow, and binary mathematics. Calculating IPv4 Classless Inter-Domain Routing (CIDR /8 to /30) and IPv6 Global Unicast addresses.
Campus LAN design, frame forwarding via MAC tables, 802.1Q VLAN trunking, and native VLAN security. Preventing broadcast storms with Spanning Tree (STP, Rapid-PVST+) and link bonding with EtherChannel (LACP).
Inter-VLAN routing using Router-on-a-Stick and Layer 3 Switch SVIs. Dynamic routing with single & multi-area OSPFv2 (Dijkstra SPF). Enterprise services: DHCP Relay, floating static routes, and First Hop Redundancy (HSRP/VRRP).
Conserving IP space with NAT Overload (PAT) and static NAT. Managing network operations with DHCP relay agents, NTP time synchronization, centralized Syslog logging, SNMPv3 telemetry, and Quality of Service (QoS) classification.
Hardening network boundaries with Standard & Extended Access Control Lists (ACLs). Establishing encrypted site-to-site IPsec VPN tunnels with AES-256 and Diffie-Hellman key exchange. AAA identity management via TACACS+ and RADIUS.
Transitioning from manual CLI configurations to Software-Defined Networking. Cisco Catalyst Center (DNA-C), RESTCONF and NETCONF APIs with YANG models, JSON/YAML serialization, and Python Netmiko switch scripting.
Multi-account hierarchy with AWS Organizations and Service Control Policies (SCPs). Applying the 6 Pillars of the AWS Well-Architected Framework, baseline landing zone automation with AWS Control Tower, and FinOps cloud cost management.
Enforcing least-privilege IAM policies, AssumeRole temporary STS credentials, Customer Managed Keys (KMS) envelope encryption, Secrets Manager automated rotation, and AI threat detection with CloudTrail, Config, and GuardDuty.
Designing multi-AZ VPC topologies with public web subnets, private application tiers, and isolated database subnets. Internet Gateways, NAT Gateway pairs, Transit Gateway (TGW) hub-and-spoke, AWS PrivateLink VPC endpoints, and Route 53 DNS.
Amazon EC2 instance sizing with ARM64 Graviton processors, Auto Scaling Groups (ASG) with Target Tracking, Application (ALB) vs Network (NLB) Load Balancers, container orchestration with Amazon ECS/Fargate and Amazon EKS, and AWS Lambda serverless.
Amazon S3 lifecycle rules, replication, and Object Lock. High-performance EBS gp3/io2 and EFS shared filesystems. High-availability databases via Amazon RDS Multi-AZ, Amazon Aurora Serverless v2, DynamoDB NoSQL, and Redis ElastiCache in-memory caching.
Codifying cloud infrastructure with HashiCorp Terraform using S3 remote state and DynamoDB distributed locks. Environment parity across Dev/Stage/Prod, Blue-Green deployments with CodePipeline, CloudWatch & X-Ray observability, and Disaster Recovery.
Deep Linux internals: kernel architecture, systemd service management, permissions (chmod/chown), and process signals. Writing robust Bash automation scripts and Python utilities for system monitoring and log parsing.
Linux namespaces & cgroups isolation. Writing high-efficiency multi-stage Dockerfiles (Alpine/Distroless). Local multi-service orchestration with Docker Compose. Vulnerability scanning with Trivy and rootless execution.
Declarative infrastructure provisioning using HashiCorp Terraform (HCL). Modular architecture, remote state backend with S3 and DynamoDB state locking, variable validation, drift detection, and automated execution.
Mastering Kubernetes control plane and worker nodes. Deployments, ReplicaSets, StatefulSets, Services (ClusterIP, NodePort, LoadBalancer), and Ingress Nginx. Package management and release versioning using Helm charts.
Production delivery automation using GitHub Actions and Jenkins pipelines. Automated linting, unit testing, container build, and push. Declarative GitOps deployment to Kubernetes using ArgoCD with Blue-Green and Canary releases.
Implementing the 3 pillars of observability (metrics, logs, traces). Prometheus time-series metric collection, PromQL queries, Grafana dashboards, Alertmanager routing, and SRE frameworks (SLIs, SLOs, Error Budgets).
Key engineering technologies, paradigms, and production tooling across the complete cloud lifecycle.
Track your real-time completion percentage, filter core topics, and inspect copyable commands on the dedicated roadmap app.
Launch Full Flowcharts on containersandcoffee.techKey insights into cloud architectures, the DevOps learning path, hands-on masterclasses, and collaborating with Aajera Banu S.
Aajera Banu structures engineering development into three distinct, industry-aligned roadmaps: 1) Cisco CCNA Roadmap (OSI, VLSM subnetting, VLAN switching, OSPF dynamic routing, and ACL security), 2) AWS Cloud Architect Roadmap (Organizations governance, multi-tier VPCs, auto-scaling compute, RDS failover, and CloudFront edge delivery), and 3) DevOps & SRE Roadmap (Linux internals, multi-stage Docker, Terraform modular IaC, Kubernetes cluster orchestration, GitOps CI/CD with ArgoCD, and Prometheus/Grafana SRE observability).
Aajera Banu is an official Redis Certified Associate: Cloud Operator, specializing in Redis in-memory database clustering, Sentinel high availability, and cloud caching architecture. Her production stack includes AWS Cloud infrastructure (VPC, EC2, IAM, S3, Route 53, CloudWatch, ElastiCache), Terraform Infrastructure as Code (IaC), Docker containerization, Kubernetes orchestration, CI/CD automated deployment pipelines (GitHub Actions, Jenkins), Cisco CCNA routing and switching, Linux server management, and Python scripting for DevOps automation.
Terraform allows engineers to define and provision cloud infrastructure declaratively using human-readable configuration files. This eliminates manual configuration drift, enables version-controlled infrastructure across dev, staging, and production environments, and ensures rapid, automated disaster recovery.
A DevOps Engineer focuses on CI/CD pipelines, containerization, and automation between development and operations. A Cloud Architect designs high-level cloud topologies, scalability, cost optimization, and multi-region resilience. A Site Reliability Engineer (SRE) applies software engineering to operations, prioritizing uptime, SLIs/SLOs, telemetry, and automated disaster recovery.
The highest priority skills in a modern Cloud & DevOps roadmap include: 1) Linux & Networking (TCP/IP, CIDR, DNS), 2) AWS Cloud Architecture (VPC, EC2, IAM, S3), 3) Containers (Docker, multi-stage builds), 4) Infrastructure as Code (Terraform), 5) Container Orchestration (Kubernetes K8s), 6) CI/CD Automation (GitHub Actions, Jenkins), 7) Observability (Prometheus, Grafana, CloudWatch), and 8) DevSecOps (Trivy, automated security scans).
Aajera Banu conducts live 3-day intensive AWS Cloud Practitioner and DevOps bootcamps, Cisco CCNA Packet Tracer networking masterclasses, and university tech symposium keynotes. Every session is 100% code-driven and lab-focused, featuring live terminal demonstrations, subnetting speed drills, and production deployment simulations.
You can reach out directly through the contact form below or email aajera.banu05@gmail.com. You can also connect via LinkedIn (@aajerabanu) or explore her technical writing on Containers & Coffee.
Open for Cloud & DevOps roles, corporate infrastructure bootcamps, and high-impact engineering collaborations.
Drop a note directly to Aajera's inbox.
Hands-on DevOps, Cloud, and Infrastructure Automation practitioner focused on CI/CD pipelines, containerization, and modern deployment workflows. Experience with Docker containerization, Jenkins & GitHub Actions CI/CD pipelines, Linux administration, Terraform infrastructure provisioning, AWS cloud fundamentals (EC2, S3, VPC, IAM), and Nginx reverse proxy configuration. Academic background in MSc Data Science from Periyar University providing structured, analytical workflow optimization. Seeking opportunities to contribute to real-world engineering environments as a DevOps or Cloud Engineer.
