Multi-Cloud DevOps 2026 — AWS + Azure + Kubernetes + Terraform + Python + Linux

Program Objective : This 4-month flagship 2026 programme transforms you into a job-ready Multi-Cloud DevOps Engineer / Site Reliability Engineer. You will build, automate, deploy, monitor and troubleshoot production-grade workloads across AWS and Azure using the exact toolchain top product companies use today — Linux, Python, Docker, Kubernetes, Terraform, Ansible, GitHub Actions, Prometheus, Grafana, ELK, New Relic and Datadog — and finish with a real-time capstone project deployed across both clouds with full CI/CD, observability and FinOps controls.

Course at a Glance

Duration : 4 Months (100 hours live training + 80 hours hands-on labs & capstone project) Fee : Rs. 15,000 (flat — classroom at Ameerpet, Hyderabad or live online, India-wide) Mode : Classroom (Hyderabad) & Live Online — both delivery modes covered in the same fee Level : Beginner-friendly to Job-ready Multi-Cloud DevOps Engineer Who should join : Freshers, B.Tech / BCA / MCA / B.Sc graduates, manual testers, support engineers, system admins, Java / .NET / Python developers wanting to switch to DevOps / SRE / Cloud, working professionals targeting a 60-150% salary hike in 2026. Tools & Platforms Covered : Linux (RHEL 9, Ubuntu 24.04), Python 3.12, Bash, AWS (60+ services), Azure (50+ services), Docker, Docker Compose, Kubernetes (CKA-aligned), Helm, Kustomize, Terraform 1.7+, Terragrunt, Ansible, Packer, GitHub, GitHub Actions, GitLab CI (overview), Jenkins (overview), ArgoCD, FluxCD, Prometheus, Alertmanager, Grafana, Loki, Tempo, ELK Stack (Elasticsearch, Logstash, Kibana), New Relic, Datadog, PagerDuty, Slack, Vault, SonarQube, Trivy, AWS CLI, Azure CLI, kubectl, eksctl, k9s.

Why this course is different — Cloudsoft 2026 Edition

• Multi-cloud focus from day one — every concept is taught in both AWS and Azure with real cost breakdowns
• 2026 stack — GitHub Actions (not just Jenkins), ArgoCD GitOps, Datadog & New Relic SaaS observability, eBPF (Cilium) intro, Backstage platform engineering, FinOps with AWS Cost Explorer + Azure Cost Management
• AI-augmented DevOps — use GitHub Copilot, ChatGPT & Claude for runbooks, IaC review and incident response (the way modern teams actually work in 2026)
• Real production scenarios — every lab uses real production-style architecture, not toy hello-world apps
• Capstone : you ship a 3-tier app to AWS (EKS) AND Azure (AKS) with full CI/CD, monitoring, alerting, secrets management and rollback — exactly what mid-senior DevOps interviews probe
• 100% placement assistance with 2,000+ hiring partners, 5,500+ placements since 2011

Module 1 — Linux Foundation for DevOps Engineers

A solid Linux foundation is non-negotiable. We start from zero and take you to a level where you can debug systemd, tune kernel parameters, write production-grade shell scripts and pass an L1/L2 Linux interview.

Duration : 12 Hours Delivery Mode : Classroom / Online

Topics

• Linux distributions (RHEL 9, Ubuntu 24.04, Amazon Linux 2023, Azure Linux)
• File system hierarchy, inodes, hard / soft links, mount points
• Users, groups, sudo, ACLs, file permissions, umask, SELinux / AppArmor
• Process management : ps, top, htop, kill, nice, renice, signals
• systemd : units, services, timers, journalctl deep-dive
• Networking : ip, ss, netstat, tcpdump, nmcli, firewalld, iptables, nftables
• Package management : dnf / yum / apt, RPM, repos
• Disk & storage : LVM, fdisk, parted, /etc/fstab, swap tuning
• Bash scripting : variables, loops, conditionals, functions, getopts, traps
• Production scripts : log rotation, backup, health-check, on-call helpers
• ssh hardening, sshd_config, key-based auth, ssh-agent, jump hosts
• Performance & troubleshooting : sar, iostat, vmstat, strace, lsof
• Security : auditd, fail2ban, OS hardening (CIS benchmarks)
• Live exercise : write a 200-line bash script that audits a fleet of EC2 instances

Module 2 — Python for DevOps Automation

Python is the universal language of DevOps in 2026. You will go from syntax to writing production automation that calls AWS / Azure APIs, parses logs and ships metrics.

Duration : 14 Hours Delivery Mode : Classroom / Online

Topics

• Python 3.12 setup, pyenv, virtualenv, poetry, uv
• Data types, strings, lists, tuples, dicts, sets, comprehensions
• Functions, decorators, lambdas, generators, *args / **kwargs
• OOP : classes, inheritance, dunder methods, dataclasses, type hints
• File & OS operations : pathlib, os, subprocess, shutil
• Working with JSON, YAML, TOML, CSV, environment variables
• Requests library — calling REST APIs (AWS, Azure, GitHub, Slack)
• boto3 — automating AWS (EC2, S3, IAM, CloudWatch, Lambda)
• azure-sdk-for-python — automating Azure (RG, VM, Storage, AKS)
• Concurrency : threading vs multiprocessing vs asyncio
• Logging, error handling, retries with tenacity
• pytest — writing tests for your automation
• CLI tools with argparse / click / typer
• Packaging : pyproject.toml, building wheels, publishing to PyPI / private index
• Live exercise : write a Python tool that snapshots all RDS DBs nightly across regions

Module 3 — AWS Cloud (Solutions Architect + DevOps depth)

The world's largest cloud. We cover 60+ AWS services with hands-on labs in a real AWS account (provided during the course), aligned to the SAA-C03 + DOP-C02 exam blueprints.

Duration : 22 Hours Delivery Mode : Classroom / Online

Topics

• AWS Global Infrastructure : Regions, AZs, Edge Locations, Local Zones, Outposts
• IAM deep-dive : users, groups, roles, policies, SCPs, IAM Identity Center, permission boundaries
• EC2 : instance types, AMI, EBS, ENI, Spot, Reserved, Savings Plans, Nitro
• VPC : subnets, route tables, IGW, NAT GW, VPC Endpoints, Transit Gateway, peering
• Security Groups vs NACLs, AWS WAF, Shield, GuardDuty, Inspector, Macie
• S3 : storage classes, lifecycle, versioning, replication, S3 Object Lock, Athena
• RDS, Aurora Serverless v2, DynamoDB, ElastiCache (Redis), MemoryDB
• Load Balancing : ALB, NLB, GWLB; Auto Scaling Groups; Launch Templates
• Route 53 : routing policies, health checks, hosted zones, traffic flow
• CloudFront, Global Accelerator, API Gateway, AppSync
• Lambda, Step Functions, EventBridge, SQS, SNS, Kinesis
• ECS, ECS Fargate, ECR, App Runner
• EKS — Kubernetes on AWS (covered in detail in Module 6)
• CloudFormation, CDK, SAM (overview — Terraform is our primary IaC)
• CodeCommit, CodeBuild, CodeDeploy, CodePipeline (we use GitHub Actions instead — covered in Module 9)
• Systems Manager (SSM) : Session Manager, Parameter Store, Patch Manager, Run Command
• Secrets Manager, KMS, ACM, Certificate Manager
• CloudWatch Metrics, Logs, Alarms, Container Insights, Application Signals
• AWS Cost Explorer, Budgets, Compute Optimizer, Trusted Advisor (FinOps)
• Live exercise : design & deploy a 3-tier highly-available web app in 2 AZs with ALB + ASG + RDS Multi-AZ

Module 4 — Microsoft Azure (Administrator + DevOps depth)

Azure is #2 in cloud market share and #1 in enterprise India. We cover 50+ Azure services aligned to AZ-104 + AZ-400 blueprints.

Duration : 18 Hours Delivery Mode : Classroom / Online

Topics

• Azure Resource Manager (ARM) — subscriptions, RGs, management groups, tags
• Microsoft Entra ID (formerly Azure AD) : users, groups, roles, RBAC, Conditional Access, PIM
• Compute : VMs, VMSS, Availability Sets, Availability Zones, Spot VMs
• Storage : Blob, File, Queue, Table; access tiers; lifecycle; immutability; SAS tokens
• Networking : VNet, Subnet, NSG, ASG, Application Security Group
• Azure Firewall, Bastion, VPN Gateway, ExpressRoute, Private Endpoints
• Load balancing : Azure Load Balancer, Application Gateway, Front Door, Traffic Manager
• Databases : Azure SQL, PostgreSQL Flexible Server, Cosmos DB, Redis Cache
• Containers : ACR, ACI, App Service for containers
• AKS — Azure Kubernetes Service (covered in Module 6)
• Functions, Logic Apps, Service Bus, Event Grid, Event Hubs
• API Management, Static Web Apps
• Azure Monitor, Log Analytics, Application Insights, KQL queries
• Azure Key Vault, Managed Identities (system + user assigned)
• Azure DevOps Services (overview) — Repos, Pipelines, Artifacts, Boards
• Microsoft Defender for Cloud, Azure Policy, Blueprints
• Azure Cost Management + Billing, Reservations, Savings Plans
• Live exercise : deploy a containerised app to AKS with Azure Front Door, Key Vault and Application Insights

Module 5 — Docker & Container Fundamentals

Containers are the unit of deployment in 2026. We go beyond "docker run hello-world" into image security, multi-stage builds, BuildKit, distroless and supply-chain scanning.

Duration : 8 Hours Delivery Mode : Classroom / Online

Topics

• Container vs VM, OCI standard, runc, containerd
• Docker Engine architecture, dockerd, REST API
• Images vs containers, layers, union FS
• Dockerfile : FROM, RUN, COPY, ENTRYPOINT, CMD, HEALTHCHECK, ARG, ENV
• Multi-stage builds — slim, distroless, scratch images
• BuildKit, buildx, multi-arch images (amd64 + arm64)
• Docker Compose for local dev stacks
• Networks : bridge, host, none, overlay, macvlan
• Volumes vs bind mounts, named volumes, tmpfs
• Image registries : Docker Hub, ECR, ACR, GHCR; pull-through caches
• Image scanning : Trivy, Grype, Snyk, Dockle
• Image signing : Cosign / Sigstore (supply-chain security)
• Container security : non-root user, read-only FS, seccomp, AppArmor, Capabilities
• Docker Swarm (brief — Kubernetes is the standard)
• Live exercise : containerise a Python Flask app, multi-stage build, scan, push to ECR + ACR

Module 6 — Kubernetes (CKA-aligned, Production-grade)

The single most-asked DevOps skill in interviews. We cover Kubernetes 1.30+ end-to-end on managed (EKS + AKS) AND vanilla (kubeadm) clusters.

Duration : 24 Hours Delivery Mode : Classroom / Online

Topics

• Kubernetes architecture : control plane, etcd, kubelet, kube-proxy, CNI, CRI
• Cluster bootstrap : kubeadm, EKS, AKS, k3s, kind, minikube
• kubectl deep-dive : apply, get, describe, logs, exec, port-forward, debug
• Pods, ReplicaSets, Deployments, StatefulSets, DaemonSets, Jobs, CronJobs
• Services : ClusterIP, NodePort, LoadBalancer, ExternalName, Headless
• Ingress, Ingress Controllers (nginx, traefik), Gateway API (the 2026 successor)
• ConfigMaps, Secrets, External Secrets Operator (ESO), AWS / Azure secrets backends
• Persistent Volumes, PVC, StorageClass, CSI drivers (EBS, EFS, Azure Disk, Azure File)
• Networking : CNI (Calico, Cilium / eBPF), NetworkPolicy, kube-proxy modes
• RBAC : roles, role bindings, service accounts, ABAC vs RBAC
• Pod Security Standards (Restricted / Baseline / Privileged), Pod Security Admission
• Resource requests & limits, QoS classes, LimitRange, ResourceQuota
• HPA, VPA, Cluster Autoscaler, Karpenter (the 2026 standard on AWS)
• Probes : liveness, readiness, startup; PDB for safe rollouts
• Helm 3 — charts, values, dependencies, hooks, packaging
• Kustomize — bases, overlays, patches, generators
• Operators & CRDs (intro)
• Service mesh : Istio / Linkerd (intro)
• GitOps with ArgoCD & FluxCD — app-of-apps pattern, sync waves, drift detection
• Cluster upgrades, blue-green node groups, drain & cordon
• Troubleshooting : CrashLoopBackOff, ImagePullBackOff, Pending pods, OOMKilled
• Cost optimisation : spot node groups, right-sizing, cluster autoscaler tuning
• Live exercise : deploy a multi-tier microservices app to EKS using Helm + ArgoCD

Module 7 — Terraform (Multi-Cloud Infrastructure as Code)

Terraform is the de-facto IaC standard. We teach it the way it's used at scale — modules, remote state, workspaces, Terragrunt, policy-as-code.

Duration : 14 Hours Delivery Mode : Classroom / Online

Topics

• HCL syntax, providers, resources, data sources, variables, outputs
• State management : local vs remote (S3+DynamoDB lock, Azure Storage+blob lease, Terraform Cloud)
• Workspaces vs separate state files — when to use which
• Modules : structure, sources, registry, semantic versioning
• Loops : count, for_each, dynamic blocks
• Functions : try, can, lookup, merge, jsonencode, templatefile
• Provisioners (and why to avoid them)
• Lifecycle : create_before_destroy, prevent_destroy, ignore_changes
• Imports : terraform import, import block (1.5+), generated config
• Drift detection & reconciliation
• Multi-environment patterns : dev / stage / prod with Terragrunt
• Provider versioning, dependency lock files
• Sensitive variables, secrets handling, integration with Vault / SOPS
• Policy-as-code : OPA, Sentinel, Checkov, tfsec
• CI/CD for Terraform : plan in PR, apply on merge (with manual approval gates)
• Real-world AWS modules : VPC, EKS, RDS, IAM
• Real-world Azure modules : VNet, AKS, Azure SQL, Key Vault
• Live exercise : provision a complete EKS + AKS environment with one apply each, sharing a common module

Module 8 — Ansible (Configuration Management & Automation)

Ansible remains the universal config-management tool. We cover playbooks, roles, dynamic inventory and AWX/Tower-style execution.

Duration : 8 Hours Delivery Mode : Classroom / Online

Topics

• Ansible architecture, control node, managed nodes (agentless via SSH / WinRM)
• Inventory : static, dynamic (AWS EC2, Azure RM, GCP plugins)
• Playbooks : tasks, handlers, vars, facts, conditionals, loops
• Modules & collections : ansible.builtin, community.aws, azure.azcollection
• Roles : structure, dependencies, Galaxy, requirements.yml
• Templating with Jinja2
• Ansible Vault for secrets
• Idempotency, check mode, diff mode, --start-at-task
• Tags, blocks, error handling (rescue / always)
• Connection plugins, become / sudo, privilege escalation
• AWX / Ansible Automation Platform overview
• Real-world plays : fleet patching, app deployment, OS hardening
• Live exercise : write a role that hardens a fleet of Amazon Linux 2023 instances to CIS Level 1

Module 9 — GitHub, Git & GitHub Actions (CI/CD for 2026)

Source-of-truth + automation. GitHub Actions is the dominant CI/CD platform in 2026 and we go deep on it.

Duration : 12 Hours Delivery Mode : Classroom / Online

Topics

• Git internals : objects, refs, packfiles; commit, branch, merge, rebase
• Workflows : trunk-based, GitFlow, release branches; semantic versioning, conventional commits
• Pull requests, code review, CODEOWNERS, branch protection, required checks
• GitHub Issues, Projects (v2), Discussions, Wiki
• GitHub Actions fundamentals : workflows, jobs, steps, runners (hosted vs self-hosted)
• Triggers : push, pull_request, workflow_dispatch, schedule, repository_dispatch
• Matrix builds, reusable workflows, composite actions, custom actions (JS / Docker / Composite)
• Secrets & environments : OIDC federation to AWS & Azure (no long-lived keys in 2026)
• Caching dependencies, artifacts, releases
• Build, test, scan, sign, push container images
• Deploy to EKS / AKS via GitHub Actions + ArgoCD (GitOps handoff)
• Self-hosted runners on EKS with Actions Runner Controller (ARC)
• Security : Dependabot, CodeQL, secret scanning, branch protection, signed commits
• GitHub Advanced Security overview
• Brief comparison with Jenkins, GitLab CI, Azure DevOps Pipelines (so you can step into any team)
• Live exercise : build a complete CI/CD pipeline — lint → test → SAST → build container → scan → push → ArgoCD sync

Module 10 — Observability : Prometheus, Grafana, ELK, New Relic, Datadog

You can't run production without observability. We cover both open-source (Prometheus + Grafana + Loki + ELK) and SaaS (New Relic + Datadog) — exactly what enterprises actually use side-by-side.

Duration : 18 Hours Delivery Mode : Classroom / Online

Topics

• The three pillars : metrics, logs, traces (and the 2026 fourth pillar : profiles)
• Prometheus architecture : pull model, exporters, service discovery, federation
• PromQL — instant vectors, range vectors, aggregation, joins, recording rules
• Alertmanager : routing, inhibition, silencing, PagerDuty / Slack integration
• Common exporters : node_exporter, kube-state-metrics, blackbox, postgres, redis, jmx
• Grafana : dashboards, panels, variables, annotations, alerting (Grafana 10+ unified alerting)
• Provisioning Grafana dashboards as code
• Loki for log aggregation, LogQL, integration with Promtail / Vector / Fluent Bit
• Tempo for distributed tracing (OpenTelemetry)
• ELK Stack : Elasticsearch indexing, Logstash pipelines, Kibana dashboards
• Beats : Filebeat, Metricbeat, Packetbeat, Auditbeat
• Index Lifecycle Management (ILM), hot-warm-cold tiers
• New Relic : APM, infrastructure, browser, synthetics, NRQL, alerts, workloads
• Datadog : APM, RUM, log management, dashboards, monitors, SLOs, incident management
• OpenTelemetry — the vendor-neutral standard for instrumentation
• SLI / SLO / error budgets — the SRE mental model
• Incident management : on-call, runbooks, postmortems, blameless culture
• Live exercise : instrument the capstone microservices app with OpenTelemetry, ship metrics to Prometheus + Datadog, logs to Loki + ELK, traces to Tempo + New Relic

Module 11 — Real-Time Capstone Project (Multi-Cloud Production Deployment)

The last 3 weeks are 100% hands-on. You ship a real production-style application to BOTH AWS and Azure, with full CI/CD, observability, security, secrets management and on-call playbooks. This is the project that gets you hired.

Duration : 20 Hours Delivery Mode : Classroom / Online

Capstone scope

• 3-tier microservices application (React frontend, Python / Node API, PostgreSQL DB, Redis cache)
• Source code in GitHub with branch protection, CODEOWNERS, conventional commits
• Infrastructure provisioned via Terraform modules — VPC / VNet, EKS / AKS, RDS / Azure DB, S3 / Blob
• Configuration managed via Ansible (OS hardening on bastion / worker nodes)
• Containerised with multi-stage Dockerfiles, scanned with Trivy, signed with Cosign
• Helm charts deployed via ArgoCD (GitOps) on both EKS & AKS
• CI/CD with GitHub Actions — lint, test, SAST, container scan, build, sign, push, ArgoCD sync
• OIDC federation from GitHub Actions to AWS & Azure (no long-lived secrets)
• Secrets in AWS Secrets Manager / Azure Key Vault, mounted via External Secrets Operator
• Observability : Prometheus + Grafana + Loki + Tempo (open-source) AND Datadog + New Relic (SaaS) side-by-side
• ELK stack for centralised application logs
• Alerting : Alertmanager + Datadog → PagerDuty + Slack with on-call rota
• SLOs defined for every user-facing endpoint, error budgets tracked in Grafana
• Disaster Recovery runbook : cross-region failover demonstration
• FinOps report : weekly cost breakdown across both clouds, right-sizing recommendations
• Recorded walkthrough video for your portfolio
• Architecture diagram (draw.io / Excalidraw) and README — publishable on GitHub
• Demo to a panel of working DevOps / SRE engineers — real interview-style Q&A

Module 12 — Placement Preparation & Interview Bootcamp

Duration : 8 Hours Delivery Mode : Classroom / Online

What you get

• Resume rewrite — DevOps / SRE / Cloud Engineer formats that beat ATS
• LinkedIn profile makeover with banner, headline and About section
• GitHub profile audit — pinned repos, README, contribution graph
• 4 mock interviews : 1 HR, 2 technical (Linux + scripting + cloud + K8s), 1 system design
• Common interview questions bank (200+) for AWS, Azure, K8s, Terraform, CI/CD, Observability
• Behavioural / STAR interview prep
• Salary negotiation playbook — Hyderabad & remote markets, 2026 ranges
• Access to 2,000+ Cloudsoft hiring partners and weekly placement drives
• Lifetime access to Slack alumni community

Who hires our Multi-Cloud DevOps graduates

Service companies : TCS, Infosys, Wipro, Accenture, Cognizant, Tech Mahindra, HCL, LTIMindtree, Capgemini, IBM Product / SaaS : Microsoft, Amazon, Google, Salesforce, ServiceNow, Adobe, Oracle, VMware, Cisco, NetApp Indian product / unicorn : Freshworks, Razorpay, Zerodha, PhonePe, Postman, Druva, Druva, Darwinbox, Chargebee, Hasura, Atlan Hyperscaler partners : Rackspace, Mphasis, Persistent, Hexaware, Coforge, Birlasoft GCC (Global Capability Centres) in Hyderabad / Bangalore / Pune : Goldman Sachs, JP Morgan, State Street, Wells Fargo, Bank of America, Apple, Qualcomm, Uber, Walmart Global Tech, Target

Career roles you can target after the course

• DevOps Engineer (Junior / Mid)
• Site Reliability Engineer (SRE)
• Cloud Engineer / Cloud Operations Engineer
• Platform Engineer
• Build & Release Engineer
• Infrastructure Engineer
• Kubernetes Administrator
• Observability / Monitoring Engineer
• Automation Engineer (Python)
• Multi-Cloud Architect (with experience)

Salary expectations (Hyderabad & India, 2026 data)

• Fresher / Career switcher : Rs. 4 - 7 LPA
• 1-3 years experience post-course : Rs. 8 - 16 LPA
• 3-6 years experience : Rs. 18 - 35 LPA
• 6+ years (with Multi-Cloud + K8s + IaC) : Rs. 35 - 65 LPA at GCCs / product companies

Online vs Offline (Classroom) — both included in the same fee

Classroom (Hyderabad)

• Venue : Cloudsoft Solutions, 513, 5th Floor, Aditya Enclave, Nilagiri Block, Beside Ameerpet Metro Station, Hyderabad - 500016
• 2 hours / day weekday batches OR 4 hours / day weekend batches
• Live whiteboard sessions, lab terminals on classroom systems
• 1-on-1 doubt clearing after every session
• Walk-in for placement drives
• Free lab access on weekends
• Tea / coffee included

Live Online (India-wide)

• Same trainer, same content, same hours — delivered live over Zoom / Google Meet
• Cloud lab credentials provided (your own AWS + Azure sandbox)
• Recorded sessions available within 24 hours for catch-up
• Slack channel for daily doubt clearing
• 1-on-1 weekly check-ins
• Same placement support — virtual + in-person interview drives

Batch Schedule

Weekday batches : Mon-Fri, 2 hours / day — 4 months Weekend batches : Sat-Sun, 4 hours / day — 16 weeks Fast-track batches : Mon-Sat, 4 hours / day — 2.5 months (for serious career switchers) Next batch starts : First and third Monday of every month — limited to 25 learners per batch Book a free demo : +91 96660 19191 or email info@cloudsoftsol.com

What you get after the course

• Cloudsoft Solutions Multi-Cloud DevOps 2026 industry-recognised certificate
• Lifetime access to all course recordings and materials (updated quarterly)
• Lifetime access to private Slack alumni community (5,500+ members)
• Free re-attendance of any future batch
• Free access to AWS & Azure free-tier credit guidance
• Mentorship for AWS Solutions Architect Associate (SAA-C03), AZ-104, CKA & Terraform Associate certification exams
• Discount on subsequent specialisation courses (FinOps, Security, Platform Engineering)