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Program overview
Online
On-site
Hybrid
GoLang for DevOps Engineers Bootcamp
Build a strong foundation in Go for DevOps and SRE automation, from operational fundamentals to high-performance CLI tools. Learn how to build reliable diagnostics, Kubernetes automation, concurrent checks, and portable internal tooling with production-ready packaging and operational best practices.
Duration:
3 days
Level:
Intermediate
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1500+ users onboarded
Who will Benefit from this Training?
- DevOps Engineers
- SRE Engineers
- Platform Engineers
- Cloud Engineers
- Linux Administrators
- Developers building internal automation tools
Training Objectives
- Understand Go fundamentals required for DevOps tooling and automation.
- Write Go programs to automate operational tasks such as system checks, log parsing, and API monitoring.
- Build production-grade CLI tools with subcommands, flags, clean error handling, and exit codes.
- Work with files, JSON, YAML, and environment variables for configuration-driven automation.
- Call REST APIs reliably with timeouts, retries, and structured outputs.
- Integrate Go automation with DevOps tools such as kubectl and docker CLI.
- Build concurrent automation using goroutines for faster diagnostics and checks.
- Package and distribute tools using cross-compilation, versioning, and release best practices.
- Deliver a complete DevOps CLI tool as a capstone project.
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Key training modules
Comprehensive, hands-on modules designed to take you from basics to advanced concepts
- Module 1: Go Fundamentals for DevOps Automation
- Why Go is popular for DevOps tooling (static binary, speed, portability)
- Go basics (types, structs, functions, methods)
- Error handling patterns (error returns, wrapping concept)
- Working with packages and modules (go mod basics)
- Hands-on: Lab: Build a simple Go tool to print system info and return proper exit codes
- Module 2: Automating Ops Tasks (System Checks and Log Parsing)
- Running system checks (CPU/memory/disk basics via Go libraries)
- Parsing logs (regex basics, filtering, aggregation patterns)
- Writing results in structured format (JSON output patterns)
- Building reusable utility functions for automation scripts
- Hands-on: Lab: Create a log parser tool that detects errors and outputs a summary report
- Module 3: Building Production-Grade CLI Tools (Flags, Subcommands, Exit Codes)
- CLI design principles (clear commands, predictable outputs)
- Subcommands and flags (config, verbose, output formats)
- Clean error messages and consistent exit codes
- Help text, usage patterns, and command validation
- Hands-on: Lab: Build a CLI with subcommands (check, parse, monitor) and proper exit behavior
- Module 4: Files, Config, and Automation Inputs (JSON, YAML, ENV)
- Reading and writing files safely (paths, permissions, errors)
- Parsing JSON and YAML configuration files
- Environment variables for 12-factor style configuration
- Merging config sources (defaults + env + file + flags)
- Hands-on: Lab: Implement config-driven automation using YAML + env overrides
- Module 5: Reliable REST API Monitoring (Timeouts, Retries, Structured Output)
- Calling REST APIs using net/http and best practices
- Timeouts, retries, exponential backoff concepts
- Parsing responses and validating status codes
- Structured outputs for automation pipelines (JSON reports)
- Hands-on: Lab: Build an API monitoring tool that checks health endpoints and outputs readiness summary
- Module 6: Integrating with DevOps Tools (kubectl and docker CLI)
- Executing shell commands from Go safely (os/exec patterns)
- Calling kubectl for cluster checks (pods, nodes, events basics)
- Calling docker CLI for container diagnostics (ps, logs, inspect)
- Capturing outputs and turning them into structured reports
- Hands-on: Lab: Build a diagnostics CLI that runs kubectl and docker commands and summarizes results
- Module 7: Concurrency for Faster Automation (Goroutines and Channels)
- Goroutines for parallel checks (multiple endpoints/nodes)
- Channels for collecting results and controlling flow
- Context cancellation and timeouts for long-running checks
- Avoiding common concurrency issues (leaks, races concepts)
- Hands-on: Lab: Run concurrent health checks across multiple services and aggregate results
- Module 8: Packaging and Distribution (Cross-Compile, Versioning, Releases)
- Building static binaries and cross-compiling for multiple OS/architectures
- Versioning strategy (semver, build metadata)
- Release best practices (checksums, changelog notes concept)
- Distributing tools internally (GitHub/GitLab releases concept)
- Hands-on: Lab: Package the CLI for Linux/macOS/Windows with version flags and release artifacts
- Module 9: Capstone Project (DevOps Automation CLI Tool)
- Capstone goal: Deliver a complete DevOps CLI tool ready for real usage
- Subcommands for system checks, API monitoring, and diagnostics
- Config-driven behavior using YAML/JSON + env + flags
- Concurrent execution for speed and reliability
- Packaged release artifacts with versioning and documentation
- Hands-on: Capstone Lab: Build, package, and demo the CLI tool with sample outputs and runbook notes
Hands-on Experience with Tools
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Training Delivery Format
Flexible, comprehensive training designed to fit your schedule and learning preferences
Opt-in Certifications
AWS, Scrum.org, DASA & more
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100% Live
on-site/online training
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Hands-on
Labs and capstone projects
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Lifetime Access
to training material and sessions
Skill-Gap Assessment
Analysing skill gap and assessing business requirements to craft a unique program
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Personalisation
Customising curriculum and projects to prepare your team for challenges within your industry
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Implementation
Supplementing training with consulting support to ensure implementation in real projects
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Why GoLang for DevOps Engineers for your business?
- Faster DevOps tooling: Build CLIs, automation tools, and operators with strong performance.
- Stronger platform engineering: Go enables custom controllers and integrations for Kubernetes ecosystems.
- Reduced dependency risks: Go binaries are easy to distribute and run with minimal runtime overhead.
- Improved automation reliability: Type safety and concurrency support reduce scripting errors.
- Better team capability: DevOps teams can create internal tools instead of waiting on engineering backlogs.
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Frequently Asked Questions
2. Will my team get any practical experience with this training?
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With our focus on experiential learning, we have made the training as hands-on as possible with assignments, quizzes and capstone projects, and a lab where trainees will learn by doing tasks live.
3. What is your mode of delivery - online or on-site?
We conduct both online and on-site training sessions. You can choose any according to the convenience of your team.
4. Will trainees get certified?
Yes, all trainees will get certificates issued by Uptut under the guidance of industry experts.
5. What do we do if we need further support after the training?
We have an incredible team of mentors that are available for consultations in case your team needs further assistance. Our experienced team of mentors is ready to guide your team and resolve their queries to utilize the training in the best possible way. Just book a consultation to get support.