The Problem Ansible Solves — and Why Every DevOps Team Uses It
Here is a situation that happens in almost every IT team that grows beyond five or six servers. The first server was configured by one person who installed everything manually and documented nothing. The second server was configured by a different person who did things slightly differently. By the time you have fifteen servers, each one is a little bit unique — a different version of a library here, a slightly different configuration file there, a package that was installed on eleven but not the other four. Nobody knows why. The documentation says they should all be identical. They are not.
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This problem has a name in DevOps: configuration drift. And it causes real outages. An application behaves differently on server 7 than on server 3 because of some undocumented difference from two years ago. A security patch gets applied to twelve servers but somehow missed three. A new configuration setting is rolled out to production but accidentally skipped on two nodes behind the load balancer, causing intermittent failures that are nearly impossible to reproduce.
Ansible solves configuration drift by making the configuration itself the code. You write a playbook — a readable YAML file that describes exactly what a server should look like: which packages should be installed, which configuration files should contain what content, which services should be running, which users should exist with which permissions. Then you run that playbook against every server. Ansible checks each server's current state against the desired state and only makes changes where there is a difference. Run it again next week — same result. Run it against a new server on day one — same result. Every server is now guaranteed to match the specification, not just the ones configured by the most careful team member on their best day.
This is why Ansible is used by thousands of organisations worldwide — from small startups managing a dozen servers to banks and telecoms managing tens of thousands. It is the tool that makes IT operations repeatable, auditable, and scalable. And it is one of the most sought-after skills in DevOps hiring in Pune today. Call 7796731656 to find out about the next batch.
500+
Students Placed
4.9★
Google Rating
6
Course Modules
₹16L+
Avg Automation Engineer Salary
What You Will Work With in This Ansible Course
Ansible Engine
Core automation framework
YAML Playbooks
Task automation files
Ansible Roles
Modular reusable configs
Ansible Galaxy
Community role library
Ansible Vault
Secret encryption
Dynamic Inventory
AWS EC2 auto-discovery
AWX / Tower
Enterprise Ansible UI
Jinja2 Templates
Dynamic config files
Jenkins + Ansible
CI/CD deployment
Linux Target Servers
Ubuntu & RHEL/CentOS
AWS EC2
Cloud server management
Git + Ansible
Version-controlled automation
Course Curriculum — 6 Hands-On Modules
The course is structured to take you from understanding what Ansible is and how it connects to servers, through writing your first playbooks, building production-quality roles, securing secrets with Vault, automating AWS environments with dynamic inventory, and finally running everything through AWX and Jenkins pipelines. Every module ends with a working automation you keep in your GitHub portfolio.
1
Ansible Architecture, Installation & Ad-Hoc Commands
Before writing a single playbook, you need to understand what Ansible is doing when it runs. This is not a theoretical question — understanding the mechanics helps you troubleshoot connection errors, diagnose slow runs, and configure Ansible correctly for different environments from day one.
Ansible's architecture is explored clearly: the control node is the machine you run Ansible from — your laptop or a dedicated automation server. The managed nodes are the servers Ansible configures — they need nothing installed beyond SSH and Python. The connection flows from the control node over SSH to each managed node, where Ansible copies a small Python script, executes it, collects the result, and removes the script. No agent, no daemon, no ongoing connection. Ansible is installed on the control node (a Ubuntu VM in our lab), and SSH key-based authentication is configured between the control node and two target servers — one Ubuntu and one CentOS. The
Ansible's architecture is explored clearly: the control node is the machine you run Ansible from — your laptop or a dedicated automation server. The managed nodes are the servers Ansible configures — they need nothing installed beyond SSH and Python. The connection flows from the control node over SSH to each managed node, where Ansible copies a small Python script, executes it, collects the result, and removes the script. No agent, no daemon, no ongoing connection. Ansible is installed on the control node (a Ubuntu VM in our lab), and SSH key-based authentication is configured between the control node and two target servers — one Ubuntu and one CentOS. The
ansible.cfg file is examined and customised: setting the default inventory path, the remote user, the SSH private key file, connection timeout, and the number of parallel forks (how many servers Ansible manages simultaneously). Ad-hoc commands are the fastest way to see Ansible's power before playbooks are involved. Students run ansible all -m ping to test connectivity, ansible web_servers -m command -a "uptime" to check uptime across a server group, ansible db_servers -m apt -a "name=htop state=present" to install a package on all database servers in one command, and ansible all -m service -a "name=nginx state=restarted" to restart a service everywhere simultaneously. The gather_facts module is run to understand what system information Ansible collects automatically — this data (OS family, IP addresses, available memory, CPU count) feeds into conditional playbook logic later.
2
Ansible Playbooks — Writing Real Server Automation in YAML
Playbooks are where Ansible becomes genuinely powerful. A playbook is a YAML file that describes one or more plays — each play targeting a group of hosts and running a sequence of tasks. A well-written playbook is self-documenting, readable by any team member, and gives you a single place to understand exactly what a server should look like and how it got there.
Playbook structure is built piece by piece. The play header (hosts, become for privilege escalation, gather_facts toggle, vars) is written first. Then tasks are added one at a time, each using an Ansible module. The most important modules for real-world automation are covered with genuine depth:
Playbook structure is built piece by piece. The play header (hosts, become for privilege escalation, gather_facts toggle, vars) is written first. Then tasks are added one at a time, each using an Ansible module. The most important modules for real-world automation are covered with genuine depth:
apt / yum for package management including updating all packages and handling OS family differences with when: ansible_os_family == "Debian", copy for pushing static files from the control node to managed nodes, template for rendering Jinja2 templates with variable substitution into configuration files (the correct way to manage config files that differ between environments), service for managing systemd services, user and group for account management, file for directory creation and permission setting, git for cloning application repositories, command and shell for running arbitrary commands when no dedicated module exists, and uri for making HTTP health check requests after deployment. Handlers — tasks that run at the end of a play only when notified by a changed task — are used for the canonical Nginx restart pattern: the configuration template task notifies the restart handler, which only fires if the template actually changed, preventing unnecessary service interruptions. Variables are defined at multiple levels (play vars, host_vars, group_vars, extra-vars from the command line) and their precedence order is understood rather than guessed. A complete playbook that provisions a fresh Ubuntu server from bare OS to a running Nginx web server with a custom index page, a monitoring user account, and log rotation configured is the module deliverable.
3
Ansible Roles — Modular, Reusable Infrastructure Automation
When a playbook grows beyond fifty tasks, it becomes hard to read, hard to test, and impossible to reuse across different projects. Ansible Roles solve this by splitting playbook content into a defined directory structure where each concern — tasks, handlers, templates, files, variables — lives in its own place. Roles are the professional standard for any Ansible work that will be maintained over time, and knowing how to write and structure them is what makes you hireable as an Ansible engineer rather than just someone who has written a few playbooks.
ansible-galaxy init is used to scaffold the role directory structure, and each directory's purpose is understood: tasks/main.yml is the entry point for the role's task list, handlers/main.yml contains handlers used by this role, templates/ holds Jinja2 template files, files/ holds static files to be copied, vars/main.yml holds role-specific variable values that should not be overridden, defaults/main.yml holds default variable values that can be overridden by the caller, and meta/main.yml holds role metadata and dependency declarations. Three complete, production-ready roles are built from scratch: (1) A webserver role that installs Nginx, deploys a site configuration from a Jinja2 template parameterised by server_name and document_root variables, sets up logrotate, and ensures the service is enabled and started. (2) A Docker installation role that adds the Docker apt repository, installs Docker Engine and Docker Compose, adds a specified user to the docker group, and configures the Docker daemon with custom logging options. (3) A CIS security hardening role that disables root SSH login, forces SSH key-only authentication (disables password auth), configures UFW with default-deny inbound and explicit allow rules for required ports, installs and configures fail2ban for SSH brute force protection, enforces password complexity with pam_pwquality, and enables unattended-upgrades for automatic security patching. Ansible Galaxy is used to find, evaluate, and download community roles — understanding quality signals (download count, stars, last updated) before trusting a community role in production.
4
Ansible Vault — Encrypting Secrets & Managing Sensitive Data Safely
Secrets management is the most commonly mishandled aspect of Ansible in production. Teams put database passwords in plain text variable files and commit them to Git. Or they keep secrets entirely outside Ansible and manage them separately, losing the benefit of having all automation in one place. Ansible Vault solves this cleanly — secrets are encrypted, stored in Git alongside the playbooks, and decrypted automatically at runtime.
The
The
ansible-vault create command is used to create a new encrypted variable file — the editor opens and you write YAML variable definitions (db_password, api_key, ssl_cert_content), save and close, and Vault encrypts the file using AES-256. The encrypted file is readable as text (it is just an encrypted blob with a Vault header) and safe to commit to any Git repository. ansible-vault encrypt encrypts an existing plain-text file. ansible-vault view decrypts and displays contents without saving decrypted output to disk. ansible-vault edit decrypts, opens in an editor, and re-encrypts on save — the workflow used for updating a stored secret. Vault-encrypted variable files are included in playbooks and roles — Ansible prompts for the vault password at runtime with --ask-vault-pass, or reads it from a vault password file (a file containing only the password, not committed to Git) with --vault-password-file. The vault password file approach is used in CI/CD pipelines where interactive prompts are not possible. Multiple vault IDs are introduced for the production scenario where different environments (dev, staging, prod) use different vault passwords — the --vault-id syntax allows Ansible to decrypt variables from different vaults in the same run. Individual string encryption using ansible-vault encrypt_string is used to embed a single encrypted value directly in a YAML variable file alongside unencrypted values, rather than separating sensitive and non-sensitive variables into different files.
5
Dynamic Inventory, Error Handling & Advanced Playbook Patterns
Static inventory files — manually maintained lists of IP addresses and hostnames — work for small, stable environments. The moment you are managing AWS EC2 instances that scale up and down automatically, or multiple environments where server lists change regularly, static inventory becomes a maintenance burden that quickly falls out of date. Dynamic inventory solves this by querying the actual infrastructure at runtime.
The AWS EC2 dynamic inventory plugin is configured — installing
The AWS EC2 dynamic inventory plugin is configured — installing
boto3, creating the aws_ec2.yml plugin configuration file, setting AWS credentials (IAM role preferred over access keys), and defining the regions to query. The plugin discovers all running EC2 instances and groups them automatically by their tags (environment=production, role=webserver), by region, by instance type, and by VPC. A playbook that targets all instances tagged role=webserver in the production environment — without any hardcoded IP addresses — is run against a real AWS account to demonstrate the real-world workflow. Tag-based host group naming conventions that work cleanly with dynamic inventory are designed. Error handling in Ansible is covered through the real patterns that production playbooks need: ignore_errors: yes for tasks where failure is acceptable, failed_when for defining custom failure conditions (useful for commands that return non-zero exit codes in non-failure situations), and block / rescue / always for structured try-catch error handling — running cleanup tasks even when a deployment fails midway. Rolling deployments with serial — updating servers in batches of 2 or 3 at a time rather than all simultaneously, to maintain service availability during rolling updates — are configured with max_fail_percentage to abort if too many servers fail during the update. Ansible tags are used to selectively run subsets of tasks in a large playbook (--tags deployment to run only deployment tasks, skipping setup tasks that have already run).
6
AWX / Ansible Tower, Jenkins Integration & Production Deployment Project
Running Ansible from the command line works perfectly for a single engineer on a small team. When multiple engineers need to run playbooks, when you need an audit log of who ran what against which servers and when, when you want to schedule regular playbook runs, and when you need to allow non-technical stakeholders to trigger specific automations — AWX is the answer.
AWX is installed using its Docker Compose deployment (or operator-based deployment on Kubernetes for production) and configured from scratch. The core AWX concepts are built up through the UI: Organisations (top-level grouping), Credentials (SSH keys, vault passwords, AWS keys — stored encrypted, never visible after entry), Inventories (static and dynamic EC2 inventories), Projects (Git repository connections that sync playbooks into AWX), Job Templates (the complete specification of how to run a playbook — which inventory, which credentials, which extra variables, whether to ask for input at runtime), and Workflows (sequences of job templates with conditional branching — run the deployment template, then if it succeeds run the smoke test template, if smoke tests fail run the rollback template). RBAC in AWX is configured — a team of developers can trigger application deployment job templates but cannot modify infrastructure playbooks or see credential values. Scheduled runs are set up for a compliance-checking playbook that runs every Sunday night and sends a report. Jenkins integration is the final component: Jenkins calls the AWX REST API to launch a job template as part of a CI/CD pipeline, passing the Docker image tag to deploy as an extra variable, then polls for the job's completion status and fails the Jenkins stage if the Ansible deployment fails. The course capstone is a complete deployment pipeline — Jenkins builds and pushes a Docker image, then triggers an AWX job template that uses a dynamic EC2 inventory to deploy the new image to all application servers tagged correctly in AWS.
AWX is installed using its Docker Compose deployment (or operator-based deployment on Kubernetes for production) and configured from scratch. The core AWX concepts are built up through the UI: Organisations (top-level grouping), Credentials (SSH keys, vault passwords, AWS keys — stored encrypted, never visible after entry), Inventories (static and dynamic EC2 inventories), Projects (Git repository connections that sync playbooks into AWX), Job Templates (the complete specification of how to run a playbook — which inventory, which credentials, which extra variables, whether to ask for input at runtime), and Workflows (sequences of job templates with conditional branching — run the deployment template, then if it succeeds run the smoke test template, if smoke tests fail run the rollback template). RBAC in AWX is configured — a team of developers can trigger application deployment job templates but cannot modify infrastructure playbooks or see credential values. Scheduled runs are set up for a compliance-checking playbook that runs every Sunday night and sends a report. Jenkins integration is the final component: Jenkins calls the AWX REST API to launch a job template as part of a CI/CD pipeline, passing the Docker image tag to deploy as an extra variable, then polls for the job's completion status and fails the Jenkins stage if the Ansible deployment fails. The course capstone is a complete deployment pipeline — Jenkins builds and pushes a Docker image, then triggers an AWX job template that uses a dynamic EC2 inventory to deploy the new image to all application servers tagged correctly in AWS.
Projects You Will Build
📡 Full Server Provisioning Playbook
From bare Ubuntu to production-ready: Nginx, application deployment from Git, database setup, user accounts, firewall rules, monitoring agent, logrotate — in one idempotent playbook run.
🔒 CIS Security Hardening Role
Production-grade Ansible role enforcing security baseline: SSH hardening, UFW firewall, fail2ban, password policy, automatic security patching. Tested against 3 target servers with Vault-encrypted credentials.
🔄 AWS EC2 Dynamic Deployment
Playbook using AWS dynamic inventory to deploy application updates to all instances tagged role=webserver in production — no hardcoded IPs, works as AWS scales up or down automatically.
🏭 Jenkins + AWX CI/CD Pipeline (Capstone)
Jenkins builds Docker image → triggers AWX REST API → AWX runs deployment job template → Ansible deploys to EC2 fleet via dynamic inventory → Jenkins reports deployment success or failure.
Career Roles After This Ansible Course
DevOps Engineer
₹6–12 LPA (Entry) · ₹14–24 LPA (3–5 yrs)
Ansible is in the required skills section of most DevOps Engineer job descriptions at Pune's IT companies. Combining Ansible with Docker, Kubernetes, and CI/CD knowledge is the standard DevOps engineer profile.
Infrastructure Automation Engineer
₹8–15 LPA (Entry) · ₹18–30 LPA (senior)
Specialises in writing and maintaining Ansible automation for large server fleets. Particularly in demand at companies managing 50+ servers who are moving from manual configuration management to IaC.
Cloud Engineer (AWS)
₹8–16 LPA (Entry) · ₹18–32 LPA (senior)
Ansible is used alongside Terraform (which provisions AWS resources) to configure what Terraform creates. Cloud Engineers in Pune frequently use both tools together in their daily work.
Site Reliability Engineer (SRE)
₹10–18 LPA (Entry) · ₹22–38 LPA (senior)
SREs use Ansible for automated remediation — playbooks that run automatically when monitoring alerts fire, correcting known failure patterns without human intervention. Ansible skills are relevant in every SRE role.
Who Should Join This Ansible Course?
- Linux system administrators who manage servers manually today and want to automate their work, reduce errors, and move into DevOps Engineer roles
- DevOps engineers who have CI/CD and Docker experience and want to add configuration management skills to complete their DevOps toolchain
- Cloud engineers who provision AWS infrastructure with Terraform and need Ansible to handle the server configuration after provisioning
- IT operations professionals whose organisations are moving to infrastructure automation and who need to lead or contribute to that initiative
- Fresh graduates from IT, CS, or networking backgrounds who want a practical, immediately-hireable DevOps skill to start their career with
Prerequisites: Basic Linux command line comfort — navigating directories, editing files with vim or nano, understanding file permissions, running basic commands. No programming background required; Ansible's YAML syntax is readable even without prior coding experience.
What Aapvex Students Say About the Ansible Course
"I was a Linux sysadmin who had spent five years managing servers manually. My company had grown to forty EC2 instances and I was spending three days every time we needed to deploy a configuration change across all of them — SSH in, run commands, move on, repeat. The Aapvex Ansible course changed that completely. Within two weeks of finishing the course I had rewritten our most common deployment procedure as an Ansible playbook, and what used to take me three days now takes twenty minutes. The Vault module was crucial — I had no idea how to handle secrets safely and had been doing it badly for years. The AWX module in the final week was also excellent — I set up AWX internally and our whole team can now trigger deployments through the web UI without touching the command line. Best career investment I have made in years. Call 7796731656 — this course delivers."— Mahesh T., Senior Infrastructure Engineer, IT Services Company, Pune (manual → automated in 2 weeks)
"I joined the Ansible course while working as a junior DevOps engineer. I had heard of Ansible and knew it was important but every time I tried to learn from documentation I got lost quickly. The Aapvex course structure made the difference — starting with ad-hoc commands before playbooks, starting with playbooks before roles, building complexity step by step so each new concept had a foundation to build on. The dynamic inventory module was the most valuable for my work — we manage AWS infrastructure and having Ansible automatically discover our servers by tag rather than maintaining a manual inventory file was something we implemented at work the week after that module. My salary was revised from ₹7 LPA to ₹11 LPA six months after completing this course."— Riya S., DevOps Engineer, Cloud Technology Company, Pune
Batch Schedule
- Weekend Batch: Saturday and Sunday, 5 hours per day. Completes in 3 weeks. Perfect for working professionals. Most popular format — fills first each month.
- Weekday Batch: Monday to Friday, 2 hours per day. Completes in 4 weeks. Best for full-time students or those between jobs.
- Live Online Batch: Real-time Zoom with shared lab server access. Same trainer and curriculum. Pan-India availability.
- Fast-Track: Daily intensive sessions for experienced Linux engineers. Completes in 2 weeks. Call to check eligibility.
Maximum 15–20 students per batch. Call 7796731656 or WhatsApp 7796731656 now to check batch dates and lock in your seat.
Frequently Asked Questions — Ansible Course Pune
What is the fee for the Ansible course at Aapvex Pune?
The Ansible course starts from ₹15,999. No-cost EMI available on select payment plans. Call 7796731656 for the exact current batch fee and any active batch offers.
What is the difference between Ansible and shell scripting?
Shell scripts run commands in sequence and assume nothing about the current state of the system. They are not idempotent — running a shell script twice often breaks things. Ansible modules check the current state before making changes: if Nginx is already installed, the apt module does nothing rather than trying to install it again. If a file already has the correct content, the template module skips it. This idempotent, state-aware approach is what makes Ansible automation reliable and safe to run repeatedly — something shell scripts fundamentally cannot provide.
Does Ansible work with Windows servers?
Yes. Ansible supports Windows servers using WinRM (Windows Remote Management) rather than SSH, with Windows-specific modules for managing Windows services, IIS web server, Windows registry, Active Directory, Windows features, and software packages via Chocolatey. The course focuses primarily on Linux automation (which covers the vast majority of DevOps roles), with Windows support introduced conceptually so students understand the capability.
What is the difference between Ansible Vault and HashiCorp Vault?
Ansible Vault is Ansible's built-in feature for encrypting files and strings within your playbook repository — it is simple, requires no additional infrastructure, and is the standard approach for managing secrets in Ansible. HashiCorp Vault is a completely separate, dedicated secrets management platform — a full service that stores, rotates, audits, and controls access to secrets for any application or tool, not just Ansible. Ansible can integrate with HashiCorp Vault using the hashi_vault lookup plugin to retrieve secrets dynamically at runtime rather than storing them encrypted in files. This course covers Ansible Vault fully; HashiCorp Vault integration is introduced as an advanced pattern.
Can Ansible be used without YAML knowledge?
Basic YAML syntax is easy to learn and is covered in the very first module — it takes about thirty minutes to be comfortable with the indentation rules, list syntax, and dictionary syntax that Ansible uses. YAML was chosen for Ansible specifically because it is the most human-readable configuration format available. If you can read a config file, you can learn YAML. No prior programming experience is required — Ansible playbooks are closer to readable instructions than to code.
What is the difference between Ansible and Puppet or Chef?
Puppet and Chef are agent-based configuration management tools — they require a daemon (agent) installed and running on every managed server, which adds installation overhead, ongoing maintenance, and firewall port requirements. Ansible is agentless — SSH is the only requirement. Puppet and Chef use their own domain-specific languages; Ansible uses YAML which most engineers can read immediately. For new teams starting fresh, Ansible's lower barrier to entry makes it the most popular choice. Puppet and Chef have advantages in very large-scale environments with strong compliance requirements, but Ansible has become the dominant choice for most DevOps teams globally.
How does Ansible handle errors during a playbook run?
By default, Ansible stops executing tasks on a host as soon as any task fails on that host, while continuing on other hosts. You can change this behaviour in several ways:
ignore_errors: yes on a specific task tells Ansible to continue even if that task fails; failed_when lets you define a custom condition for what counts as failure; block / rescue / always provides try-catch-finally style error handling within a play; and any_errors_fatal: true stops the entire play on all hosts the moment any single host fails. All of these patterns are practised in Module 5.Which companies in Pune use Ansible?
Infosys, TCS, Wipro, Persistent Systems, Capgemini, ThoughtWorks, KPIT Technologies, Zensar, Barclays Technology, Deutsche Bank Technology, Mastercard Technology, Bajaj Finserv Tech, and most organisations managing more than ten Linux servers. Ansible is the most widely adopted configuration management tool globally and appears in DevOps Engineer, Cloud Engineer, and Infrastructure Engineer job descriptions across Pune's technology sector regularly.
How do I enrol in the Ansible course at Aapvex Pune?
Call or WhatsApp 7796731656 — a counsellor will confirm batch dates, fees, and whether your Linux background is a good fit. Fill the Contact form and we will call back within 2 hours. Walk-in visits to our Pune centre welcome for a free 30-minute session — no pressure, just honest guidance.