Build and Deploy Apps on AWS using DevOps Techniques
Build and Deploy Apps on AWS using DevOps Techniques, available at $49.99, has an average rating of 4.4, with 75 lectures, 3 quizzes, based on 5 reviews, and has 109 subscribers.
You will learn about Effortlessly build and monitor applications on cloud services with serverless components Manage and secure your applications using AWS tools Use AWS Route 53 and a load balancer to route traffic Define security to add defences against common internet attacks Improve the resiliency of your application as failing components can be easily and automatically replaced Improve your development process by building an automated CI and CD pipeline with AWS CodePipeline and AWS CodeDeploy Explore creating a CI/CD pipeline with a real-world application Use CodeStar to bring together the power of AWS CodeBuild, CodeDeploy, and CodePipeline to automate your deployment process This course is ideal for individuals who are This course is for developers, software architects, and software engineers who want to create and deploy Microservices-based applications on AWS. It is particularly useful for This course is for developers, software architects, and software engineers who want to create and deploy Microservices-based applications on AWS.
Enroll now: Build and Deploy Apps on AWS using DevOps Techniques
Summary
Title: Build and Deploy Apps on AWS using DevOps Techniques
Price: $49.99
Average Rating: 4.4
Number of Lectures: 75
Number of Quizzes: 3
Number of Published Lectures: 75
Number of Published Quizzes: 3
Number of Curriculum Items: 78
Number of Published Curriculum Objects: 78
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Effortlessly build and monitor applications on cloud services with serverless components
- Manage and secure your applications using AWS tools
- Use AWS Route 53 and a load balancer to route traffic
- Define security to add defences against common internet attacks
- Improve the resiliency of your application as failing components can be easily and automatically replaced
- Improve your development process by building an automated CI and CD pipeline with AWS CodePipeline and AWS CodeDeploy
- Explore creating a CI/CD pipeline with a real-world application
- Use CodeStar to bring together the power of AWS CodeBuild, CodeDeploy, and CodePipeline to automate your deployment process
Who Should Attend
- This course is for developers, software architects, and software engineers who want to create and deploy Microservices-based applications on AWS.
Target Audiences
- This course is for developers, software architects, and software engineers who want to create and deploy Microservices-based applications on AWS.
Amazon Web Services (AWS) provides trusted, cloud-based solutions to help you meet your business needs. Running your solutions in the AWS Cloud can help you get your applications up and running faster while providing the security to meet your compliance requirements. So, if you’re someone who wants to develop and deploy applications and microservices on AWS, then go for this course.
This course is a step-by-step guide to building, deploying, and monitoring your robust and scalable web applications and microservices using AWS. You will learn how to design and develop cloud-based applications and microservices using AWS. You will also learn how to set up automated processes, implement continuous delivery, and manage application updates for your infrastructure on the AWS cloud.
Contents and Overview
This training program includes 3 complete courses, carefully chosen to give you the most comprehensive training possible.
The first course, Full Stack AWS Application Development, is designed to help you develop and design cloud solutions using AWS. You will gain confidence in coding and manipulating AWS-based environments (Python, Java). You will be able to use AWS SDK to interact with services and build solutions. You will also learn how to use Amazon DynamoDB data stores and to integrate applications and data (Lambda, SWF).
The second course, Building Microservices on AWS, shows you how to build Microservices-based applications on AWS. It will help you overcome the limitations and challenges you experience in traditional monolith deployments. It will provide you with technological freedom and help you choose the best tool for each job.
The third course, Implementing DevOps with AWS, gives you hands-on experience with Cloud9, CodeBuild, CodeDeploy, CodePipeline, and CodeStar. You will learn setting up automated processes, implementing continuous delivery, and managing application updates for your infrastructure on the AWS cloud.
By the end of the course, you’ll have learned to apply AWS tools to create and deploy Microservices-based applications. You’ll be able to make your applications cost-effective, easier to scale, and faster to develop.
Meet Your Expert(s):
We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth:
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David B. McDaniel has over 30 years of experience in software architecture, design, and implementation. He displays innovation in all aspects and is both a strategic and tactical consultant to all levels of organizations. His strength lies in Cloud strategy and implementation, using private, public, and hybrid solutions, and helping companies implement their API Economy presence, both internally and externally. He specializes in business process automation and optimization and system integration using open source and COTS software packages, integrating with both custom and leading enterprise applications such as SAP and Salesforce. He is an enterprise SOA and Java architect, extremely technical, and can speak to all levels, including CxO’s of any organization. Professional and engaging, he is a leader and innovator with a strong passion for his career. He helped launch several companies, including New Era of Networks (NEON), and has worked with many Fortune 500 companies.
Specialties: Cloud/Enterprise/SOA Architecture and Strategy, Integration, Mobile Solutions, Cloud/SaaS Computing, System Design. Java, Oracle, Open Source solutions.
Founder – Denver AWS Users’ Group. -
Alan Rodrigues has been working on software components such as Docker containers and Kubernetes for the last 2 years. He has extensive experience working on the AWS Platform, currently being certified as an AWS Solution Architect Associate, a SysOps Administrator, and a Developer Associate. He has seen that organizations are moving towards using containers as part of their Microservices architecture. And there is a strong need to have a container orchestration tool in place. Kubernetes is by far the most popular container orchestration on the market.
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Colibri Digital is a technology consultancy company founded in 2015 by James Cross and Ingrid Funie. The company works to help its clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas such as big data, data science, machine learning, and cloud computing. Over the past few years they have worked with some of the world’s largest and most prestigious companies, including a tier 1 investment bank, a leading management consultancy group, and one of the world’s most popular soft drinks companies, helping each of them to better make sense of its data, and process it in more intelligent ways.The company lives by its motto: Data -> Intelligence -> Action.
Salle Ingle is an AWS Certified Solutions Architect Professional from Colibri Digital, with over 17 years of experience in the Information Technology field across a variety of disciplines and industries. Salle also holds the ITIL v3 Release and Control Practitioner certification and has several years of experience with Change and Release Management involving various DevOps practices and tools. In addition to AWS, she has experience with OpenStack, infrastructure, networking, and full-stack web development.
Course Curriculum
Chapter 1: Full Stack AWS Application Development
Lecture 1: The Course Overview
Lecture 2: Introduction to Core AWS Services
Lecture 3: Creating Your AWS Account
Lecture 4: What Is an SDK?
Lecture 5: Installing the Eclipse IDE
Lecture 6: Installing the AWS Toolkit for Eclipse
Lecture 7: Using the AWS Console to Create a S3 Bucket
Lecture 8: Uploading the Source Files to the S3 Bucket
Lecture 9: Setting Up the Bucket to Host a Static Website
Lecture 10: Browsing to Your New Single Page App
Lecture 11: Building the Front End
Lecture 12: How to Build and Deploy Your First Lambda?
Lecture 13: Discuss Maven and How Builds Work
Lecture 14: Discuss How Code Is Structured in Projects
Lecture 15: Build Both Projects and Deploy API to Lambda
Lecture 16: Creating an API to Call the Lambda
Lecture 17: Test Executing Your Lambda and Viewing Your Lambda Logs
Lecture 18: Description of DynamoDB
Lecture 19: Creating Your First DynamoDB Table in the AWS Console
Lecture 20: Adding to Your Lambda to Store the Receipt Information in DynamoDB
Lecture 21: Viewing the Stored Information in the AWS Console
Lecture 22: Introduction to Amazon Cognito
Lecture 23: Updating Your User Pool in the AWS Console
Lecture 24: Updating the Business Logic to Store the Receipts by User Id
Lecture 25: Description of Regions and Availability Zones
Lecture 26: Why Deploy to Multiple Regions or Availability Zones
Lecture 27: Deploying to a Second Region
Lecture 28: Description of Route 53
Lecture 29: Setting Up Your Custom Domain Name in Route 53
Lecture 30: Setting Up Route 53 to Route between Your Two Regions
Lecture 31: Description of Common Attacks
Lecture 32: Setting Up AWS WAF – Web Application Firewall
Lecture 33: Discuss AWS Shield
Chapter 2: Building Microservices on AWS
Lecture 1: The Course Overview
Lecture 2: The Concepts of Microservices
Lecture 3: Benefits of Microservices
Lecture 4: Key Design Elements for Microservices
Lecture 5: Understanding AWS EC2 and ELB
Lecture 6: Decentralizing AWS Data Options
Lecture 7: AWS Elastic Beanstalk
Lecture 8: Working with AWS Lambda
Lecture 9: AWS API Gateway
Lecture 10: AWS Route 53
Lecture 11: Monitoring Microservices
Lecture 12: Exploring Blue Green Deployments
Lecture 13: Using Elastic Load Balancer for Blue Green Deployments
Lecture 14: Using Elastic Beanstalk for Blue Green Deployments
Lecture 15: Getting Started with Continuous Integration
Lecture 16: Using AWS CodeCommit
Lecture 17: Implementing AWS CodeBuild
Lecture 18: Using AWS CodePipeline
Lecture 19: The Complete Continuous Integration Pipeline
Lecture 20: Working with Containers
Lecture 21: Using Orchestration
Lecture 22: Exploring Kubernetes
Lecture 23: Using AWS Elastic Container Service
Chapter 3: Implementing DevOps with AWS
Lecture 1: The Course Overview
Lecture 2: Setting Up Infrastructure on AWS Cloud
Lecture 3: Setting Up a Git Repository with CodeCommit
Lecture 4: Exploring Cloud9
Lecture 5: Getting Started with Cloud9
Lecture 6: Working with Cloud9
Lecture 7: Understanding CodeBuild
Lecture 8: Building Our First Project
Lecture 9: Exploring buildspec.yml
Lecture 10: Learning CodeDeploy
Lecture 11: Working with CodeDeploy
Lecture 12: Deploying Code to EC2
Lecture 13: Blue-Green Deployment
Lecture 14: Understanding CodePipeline
Lecture 15: Creating Our First Pipeline
Lecture 16: Multi-Environment Deployment
Lecture 17: Exploring CodeStar
Lecture 18: Working with CodeStar
Lecture 19: Requesting Manual Permission to Complete Deployment
Instructors
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Packt Publishing
Tech Knowledge in Motion
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- 3 stars: 1 votes
- 4 stars: 1 votes
- 5 stars: 3 votes
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