App Deployment, Debugging, and Performance

  • 4.6
Approx. 13 hours to complete

Course Summary

This course teaches you how to deploy, debug, and improve the performance of your applications using various tools and techniques.

Key Learning Points

  • Learn to deploy applications to various platforms and troubleshoot common deployment issues.
  • Understand how to debug issues in your application using tools like logs and stack traces.
  • Optimize application performance by identifying and fixing bottlenecks using profiling tools.

Job Positions & Salaries of people who have taken this course might have

  • Software Developer
    • USA: $75,000 - $120,000
    • India: ₹5,00,000 - ₹12,00,000
    • Spain: €35,000 - €60,000
  • DevOps Engineer
    • USA: $100,000 - $150,000
    • India: ₹8,00,000 - ₹18,00,000
    • Spain: €45,000 - €85,000
  • Site Reliability Engineer
    • USA: $120,000 - $180,000
    • India: ₹10,00,000 - ₹25,00,000
    • Spain: €60,000 - €100,000

Related Topics for further study


Learning Outcomes

  • Deploy applications to various platforms with greater confidence
  • Troubleshoot and debug issues in your application more effectively
  • Optimize application performance to deliver a better user experience

Prerequisites or good to have knowledge before taking this course

  • Basic knowledge of programming languages like Java, Python, or JavaScript
  • Familiarity with command line interface (CLI) tools

Course Difficulty Level

Intermediate

Course Format

  • Self-paced
  • Online
  • Video-based

Similar Courses

  • Web Development
  • Full Stack Web Development
  • DevOps Foundations

Related Education Paths


Notable People in This Field

  • Gene Kim
  • John Allspaw

Related Books

Description

In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants learn how to apply best practices for application development and use the appropriate Google Cloud storage services for object storage, relational data, caching, and analytics. Learners can choose to complete labs in their favorite language: Node.js, Java, or Python.

Knowledge

  • Deploy applications using Container Builder, Container Registry, and Deployment Manager.
  • Debug, monitor, and troubleshoot your application using Google Stackdriver.

Outline

  • Deploying Applications
  • Welcome to this Course
  • Deploying Applications Using Cloud Build, Container Registry, and Deployment Manager
  • Why use containers for deployment?
  • Build Pipelines with Cloud Build and Deployment Manager
  • Demo on Exploring Deployment Manager
  • Getting Started with Google Cloud Platform and Qwiklabs
  • Lab Overview
  • Summary
  • Course Information
  • How to download course resources
  • How to Send Feedback
  • Practice Quiz: Deploying Applications
  • Final Quiz: Deploying Applications
  • Execution Environments for your Application
  • Introduction to Execution Environments in Google Cloud
  • Dataflow
  • Cloud Functions
  • App Engine Flexible Environment
  • Google Kubernetes Engine
  • Cloud Run
  • Compute Engine
  • Lab Overview
  • Summary
  • Practice Quiz: Execution Environments for Your Application
  • Final Quiz: Execution Environments for Your Application
  • Debugging, Monitoring, and Performance Tuning
  • Google Cloud's Operations Suite - a Multi-Cloud Service
  • Debugging your Application
  • Lab Overview
  • Logging
  • Monitoring and Tuning Performance
  • Identifying and Troubleshooting Performance Issues
  • Operations Features Demo
  • Lab Overview
  • Summary
  • Course Recap
  • Practice Quiz: Debugging, Monitoring, and Performance Tuning
  • Final Quiz: Debugging, Monitoring, and Performance Tuning

Summary of User Reviews

Learn about app deployment, debugging, and performance with this comprehensive course on Coursera. Users have rated this course highly for its practical approach to teaching, hands-on exercises, and expert instructors. One key aspect that many users thought was good is the course's emphasis on real-world scenarios and practical skills. However, some users have mentioned that the course can be too technical and challenging for beginners.

Pros from User Reviews

  • Practical approach to teaching
  • Hands-on exercises
  • Expert instructors
  • Real-world scenarios
  • Practical skills

Cons from User Reviews

  • Too technical for beginners
  • Challenging assignments
  • Requires prior knowledge
  • Expensive compared to other courses
  • Slow-paced lectures
English
Available now
Approx. 13 hours to complete
Google Cloud Training
Google Cloud
Coursera

Instructor

Google Cloud Training

  • 4.6 Raiting
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