20 yrs of Exp 
Dehu Road, Pune Details verified of Pradeep Viswanathan✕
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IGNOU 2009
Master of Computer Applications (M.C.A.)
Dehu Road, Pune, India - 412101
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Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in DevOps Training
20+
Teaching Experience in detail in DevOps Training
Over the past eight years, my teaching experience in DevOps training has focused on bridging the gap between legacy IT operations and modern, automated cloud-native engineering. I have designed and delivered hands-on, scenario-based training programs for hundreds of engineers, enterprise teams, and career pivoters, focusing on real-world production environments rather than theoretical concepts. My instructional approach centers on key pillars of the DevOps lifecycle: Infrastructure as Code (IaC) & Provisioning: Guiding learners through automating cloud infrastructure on AWS and Azure using Terraform and Ansible, emphasizing modular architecture, state management, and declarative configuration. Continuous Integration & Delivery (CI/CD): Teaching the design and implementation of automated pipelines using GitLab CI, GitHub Actions, and Jenkins. Students learn to implement automated testing, security scanning (SAST/DAST), and seamless deployment strategies (Blue-Green, Canary). Containerization & Orchestration: Building deep technical competency in Docker for application packaging and Kubernetes (EKS/AKS) for cluster management, Helm charting, service meshes, and rolling upgrades. Site Reliability & Observability: Instructing teams on implementing log management, metrics, and alerting systems using Prometheus, Grafana, and ELK stack to build self-healing, resilient systems. Through interactive workshops, live troubleshooting exercises, and architectural reviews, I emphasize security integration (DevSecOps) and GitOps practices. My training methodology prioritizes problem-solving—guiding students through simulated outage scenarios, pipeline breakages, and multi-cloud migration challenges to ensure they leave equipped for high-availability enterprise environments.
Class Location
Online class via Zoom
Willing to travel
Tutor's Home
Years of Experience in Windows Powershell
20+
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Amazon Web Services Training
20+
AWS Certification offered
AWS Certified Solutions Architect, AWS Certified DevOps Engineer
AWS Certification Level offered
Associate
Teaching Experience in detail in Amazon Web Services Training
My teaching experience with Amazon Web Services focuses on preparing cloud engineers and system administrators to design, deploy, and manage production-grade infrastructure aligned with the AWS Well-Architected Framework. I have led technical bootcamps, corporate upskilling sessions, and certification workshops covering core cloud domains: Core Compute & Networking: Training engineers on custom VPC creation, subnets, route tables, Internet Gateways, and NAT Gateways. I cover compute workloads using EC2, Auto Scaling Groups, Elastic Load Balancing (ALB/NLB), and container orchestration with Amazon Elastic Kubernetes Service (EKS) and ECS. Storage, Security & IAM: Delivering deep dives into IAM policies, roles, and least-privilege security configurations. I instruct on storage architecture using Amazon S3 (bucket policies, lifecycle rules, KMS encryption), EBS volumes, and EFS shared storage. Serverless & Event-Driven Systems: Guiding developers through building event-driven microservices using AWS Lambda, API Gateway, DynamoDB, SQS, and SNS, with an emphasis on cost optimization and stateless execution. Infrastructure Automation & DevOps: Teaching provisioning via CloudFormation and Terraform, alongside CI/CD deployment pipelines using AWS CodePipeline and CodeDeploy. Certification Preparation: Coaching teams for the AWS Certified Solutions Architect – Associate and AWS Certified SysOps Administrator exams through targeted practice exams, architecture design challenges, and live troubleshooting labs.
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Kubernetes
20+
Teaching Experience in detail in Kubernetes
My teaching experience with Kubernetes spans training developers, DevOps engineers, and cloud architects to manage production container workloads across self-managed and cloud-managed (EKS, AKS, GKE) environments. I focus on taking engineers from core container concepts to production-grade cluster administration and GitOps operations. My training curriculum is structured around critical operational domains: Cluster Architecture & Control Plane Fundamentals: Demystifying the mechanics of kube-apiserver, etcd, kube-scheduler, and kube-controller-manager, alongside worker node components (kubelet, kube-proxy, and container runtimes). Workload Management & Deployment Strategies: Guiding students through writing declarative YAML manifests for Pods, Deployments, StatefulSets, DaemonSets, and Jobs. I teach zero-downtime rolling updates, canary releases, and rollback procedures. Networking, Services & Ingress: Training on Pod networking, ClusterIP, NodePort, LoadBalancer service types, and configuring Ingress Controllers (NGINX, Traefik) with TLS termination for secure external traffic management. Storage & Configuration: Instructing on managing state using Persistent Volumes (PV), Persistent Volume Claims (PVC), StorageClasses, ConfigMaps, and Secrets (including dynamic secrets management with HashiCorp Vault). Security, Access & Observability: Teaching multi-tenancy using Namespaces, Role-Based Access Control (RBAC), ServiceAccounts, NetworkPolicies, and SecurityContexts. I cover cluster logging and monitoring using Prometheus, Grafana, and fluentbit. Packaging & Delivery: Conducting hands-on modules on packaging applications using Helm charts and implementing automated GitOps deployment pipelines with ArgoCD and Flux. Certification Training: Coaching engineers through practical, command-line-driven preparation for the CKA (Certified Kubernetes Administrator) and CKAD (Certified Kubernetes Application Developer) exams, emphasizing imperative kubectl commands and fast troubleshooting. I utilize interactive labs where students actively build multi-node clusters, simulate node failures, debug crash-looping pods, and handle real-world scale and network debugging scenarios.
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Docker Training
20+
Teaching Experience in detail in Docker Training
My teaching experience with Docker focuses on training software developers, system administrators, and DevOps engineers to package, ship, and run applications in lightweight, isolated container environments. I guide learners through transitioning legacy, monolithic applications into scalable, containerized microservices. My training curriculum delivers comprehensive mastery across core containerization pillars: Container Architecture & Engine Fundamentals: Demystifying the mechanics of Linux namespaces, control groups (cgroups), union file systems, and the interaction between the Docker CLI, Docker Engine, and containerd. Image Authoring & Optimization: Teaching best practices for writing clean Dockerfiles. Focus areas include multi-stage builds to minimize image sizes, optimizing layer caching, using minimal base images (like Alpine and Distroless), and managing non-root execution for security. Storage Management & Persistence: Guiding engineers on handling state using Docker Volumes, Bind Mounts, and tmpfs, ensuring data durability across container restarts and updates. Networking & Inter-Container Communication: Instructing on standard Docker network drivers (bridge, host, overlay, and macvlan), port mapping, custom bridge networks, and DNS-based service discovery. Multi-Container Workflows with Docker Compose: Structuring complex, multi-tier application stacks (e.g., frontend, backend API, database, and cache) using docker-compose.yml, managing environment variables, volumes, dependencies, and network isolation. Security & Image Management: Covering container vulnerability scanning (using Trivy and Docker Scout), managing private image registries (Docker Hub, AWS ECR, Harbor), and implementing RBAC and content trust. Through hands-on CLI labs, I guide students through real-world scenarios: containerizing legacy Python and Node.js applications, troubleshooting failed builds, inspecting running container processes, and optimizing CI/CD build speeds through strategic layer caching.
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Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in DevOps Training
20+
Teaching Experience in detail in DevOps Training
Over the past eight years, my teaching experience in DevOps training has focused on bridging the gap between legacy IT operations and modern, automated cloud-native engineering. I have designed and delivered hands-on, scenario-based training programs for hundreds of engineers, enterprise teams, and career pivoters, focusing on real-world production environments rather than theoretical concepts. My instructional approach centers on key pillars of the DevOps lifecycle: Infrastructure as Code (IaC) & Provisioning: Guiding learners through automating cloud infrastructure on AWS and Azure using Terraform and Ansible, emphasizing modular architecture, state management, and declarative configuration. Continuous Integration & Delivery (CI/CD): Teaching the design and implementation of automated pipelines using GitLab CI, GitHub Actions, and Jenkins. Students learn to implement automated testing, security scanning (SAST/DAST), and seamless deployment strategies (Blue-Green, Canary). Containerization & Orchestration: Building deep technical competency in Docker for application packaging and Kubernetes (EKS/AKS) for cluster management, Helm charting, service meshes, and rolling upgrades. Site Reliability & Observability: Instructing teams on implementing log management, metrics, and alerting systems using Prometheus, Grafana, and ELK stack to build self-healing, resilient systems. Through interactive workshops, live troubleshooting exercises, and architectural reviews, I emphasize security integration (DevSecOps) and GitOps practices. My training methodology prioritizes problem-solving—guiding students through simulated outage scenarios, pipeline breakages, and multi-cloud migration challenges to ensure they leave equipped for high-availability enterprise environments.
Class Location
Online class via Zoom
Willing to travel
Tutor's Home
Years of Experience in Windows Powershell
20+
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Amazon Web Services Training
20+
AWS Certification offered
AWS Certified Solutions Architect, AWS Certified DevOps Engineer
AWS Certification Level offered
Associate
Teaching Experience in detail in Amazon Web Services Training
My teaching experience with Amazon Web Services focuses on preparing cloud engineers and system administrators to design, deploy, and manage production-grade infrastructure aligned with the AWS Well-Architected Framework. I have led technical bootcamps, corporate upskilling sessions, and certification workshops covering core cloud domains: Core Compute & Networking: Training engineers on custom VPC creation, subnets, route tables, Internet Gateways, and NAT Gateways. I cover compute workloads using EC2, Auto Scaling Groups, Elastic Load Balancing (ALB/NLB), and container orchestration with Amazon Elastic Kubernetes Service (EKS) and ECS. Storage, Security & IAM: Delivering deep dives into IAM policies, roles, and least-privilege security configurations. I instruct on storage architecture using Amazon S3 (bucket policies, lifecycle rules, KMS encryption), EBS volumes, and EFS shared storage. Serverless & Event-Driven Systems: Guiding developers through building event-driven microservices using AWS Lambda, API Gateway, DynamoDB, SQS, and SNS, with an emphasis on cost optimization and stateless execution. Infrastructure Automation & DevOps: Teaching provisioning via CloudFormation and Terraform, alongside CI/CD deployment pipelines using AWS CodePipeline and CodeDeploy. Certification Preparation: Coaching teams for the AWS Certified Solutions Architect – Associate and AWS Certified SysOps Administrator exams through targeted practice exams, architecture design challenges, and live troubleshooting labs.
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Kubernetes
20+
Teaching Experience in detail in Kubernetes
My teaching experience with Kubernetes spans training developers, DevOps engineers, and cloud architects to manage production container workloads across self-managed and cloud-managed (EKS, AKS, GKE) environments. I focus on taking engineers from core container concepts to production-grade cluster administration and GitOps operations. My training curriculum is structured around critical operational domains: Cluster Architecture & Control Plane Fundamentals: Demystifying the mechanics of kube-apiserver, etcd, kube-scheduler, and kube-controller-manager, alongside worker node components (kubelet, kube-proxy, and container runtimes). Workload Management & Deployment Strategies: Guiding students through writing declarative YAML manifests for Pods, Deployments, StatefulSets, DaemonSets, and Jobs. I teach zero-downtime rolling updates, canary releases, and rollback procedures. Networking, Services & Ingress: Training on Pod networking, ClusterIP, NodePort, LoadBalancer service types, and configuring Ingress Controllers (NGINX, Traefik) with TLS termination for secure external traffic management. Storage & Configuration: Instructing on managing state using Persistent Volumes (PV), Persistent Volume Claims (PVC), StorageClasses, ConfigMaps, and Secrets (including dynamic secrets management with HashiCorp Vault). Security, Access & Observability: Teaching multi-tenancy using Namespaces, Role-Based Access Control (RBAC), ServiceAccounts, NetworkPolicies, and SecurityContexts. I cover cluster logging and monitoring using Prometheus, Grafana, and fluentbit. Packaging & Delivery: Conducting hands-on modules on packaging applications using Helm charts and implementing automated GitOps deployment pipelines with ArgoCD and Flux. Certification Training: Coaching engineers through practical, command-line-driven preparation for the CKA (Certified Kubernetes Administrator) and CKAD (Certified Kubernetes Application Developer) exams, emphasizing imperative kubectl commands and fast troubleshooting. I utilize interactive labs where students actively build multi-node clusters, simulate node failures, debug crash-looping pods, and handle real-world scale and network debugging scenarios.
Class Location
Online class via Zoom
Student's Home
Tutor's Home
Years of Experience in Docker Training
20+
Teaching Experience in detail in Docker Training
My teaching experience with Docker focuses on training software developers, system administrators, and DevOps engineers to package, ship, and run applications in lightweight, isolated container environments. I guide learners through transitioning legacy, monolithic applications into scalable, containerized microservices. My training curriculum delivers comprehensive mastery across core containerization pillars: Container Architecture & Engine Fundamentals: Demystifying the mechanics of Linux namespaces, control groups (cgroups), union file systems, and the interaction between the Docker CLI, Docker Engine, and containerd. Image Authoring & Optimization: Teaching best practices for writing clean Dockerfiles. Focus areas include multi-stage builds to minimize image sizes, optimizing layer caching, using minimal base images (like Alpine and Distroless), and managing non-root execution for security. Storage Management & Persistence: Guiding engineers on handling state using Docker Volumes, Bind Mounts, and tmpfs, ensuring data durability across container restarts and updates. Networking & Inter-Container Communication: Instructing on standard Docker network drivers (bridge, host, overlay, and macvlan), port mapping, custom bridge networks, and DNS-based service discovery. Multi-Container Workflows with Docker Compose: Structuring complex, multi-tier application stacks (e.g., frontend, backend API, database, and cache) using docker-compose.yml, managing environment variables, volumes, dependencies, and network isolation. Security & Image Management: Covering container vulnerability scanning (using Trivy and Docker Scout), managing private image registries (Docker Hub, AWS ECR, Harbor), and implementing RBAC and content trust. Through hands-on CLI labs, I guide students through real-world scenarios: containerizing legacy Python and Node.js applications, troubleshooting failed builds, inspecting running container processes, and optimizing CI/CD build speeds through strategic layer caching.
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