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Home » Ebooks & Tutorials » Technical » Internet & Networking » Packt Publishing, Architecting, AWS, Best Practices, Patterns, Troubleshooting

Packt Publishing, Architecting, AWS, Best Practices, Patterns, Troubleshooting

24/06/2018 Learning for Life Leave a Comment

Packt Publishing – Architecting for AWS: Best Practices, Patterns and Troubleshooting
English | Size: 200.87 MB
Category: Tutorial


Video Description
Do you face problems in implementing AWS framework in your applications? Then this course is for you.
This course is full of examples and will give you a detailed understanding of the best practices to follow when architecting and securing your applications for running on AWS. You see some secret hints and tips on common problem areas you may encounter. Amazon provides a range of tools for analyzing the cost impact and security footprint of cloud applications, all of which we will explore with practical, real-life examples.
By the end of this comprehensive, yet easy to follow tutorial, you will have gained a detailed understanding of how to architect and build fault-tolerant, cost-optimized applications for the connected web.
Style and Approach
This course will give viewers an absolute understanding of the best practices to follow when architecting and securing applications for running on AWS, along with some hints and tips on common problem areas you may encounter with practical real-life examples.

Table of Contents
GENERAL ARCHITECTURE
SECURITY
RELIABILITY AND PERFORMANCE EFFICIENCY
COST OPTIMIZATION
What You Will Learn
Analyze the cost impact and security footprint of cloud applications
Build fault-tolerant, cost-optimized applications for the connected web
Secure your applications for running on AWS
Considerations when comparing Cloud applications with traditional on-premise applications
Effective use of cloud resources for performance optimization
Budget allocation and resource sizing for building cost optimized applications
Authors
James Cross
Colibri 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 it has 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 make better sense of its data and process it in more intelligent ways. The company lives by its motto: Data -> Intelligence -> Action.
James Cross is a Big Data Engineer and certified AWS Solutions Architect with a passion for data-driven applications. He’s spent the last 3-5 years helping his clients to design and implement huge scale streaming Big Data platforms, Cloud-based analytics stacks, and serverless architectures.
He started his professional career in Investment Banking, working with well-established technologies such as Java and SQL Server, before moving into the Big Data space. Since then he’s worked with a huge range of Big Data tools including most of the Hadoop eco-system, Spark and many No-SQL technologies such as Cassandra, MongoDB, Redis and DynamoDB. More recently his focus has been on Cloud technologies and how they can be applied to data analytics, culminating in his work at Scout Solutions as CTO, and more recently with Mckinsey.
James is an AWS certified solutions architect with several years experience designing and implementing solutions on this cloud platform. As CTO of Scout Solutions Ltd, he built a fully serverless set of API’s and analytics stack based around Lambda and Redshift.
Colibri is a technology consultancy company founded in 2015 by James Cross and the company works to help their clients navigate the rapidly changing and complex world of emerging technologies.
He is interested in almost anything that has to do with technology. He has worked with everything from WordPress to Hadoop, from C++ to Java, and from Oracle to DynamoDB. If it’s new and solves a problem in an innovative way he’s keen to give it a go!

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