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Architecting for Application Requirements: Understanding SLAs and Resiliency

John Savill's Technical Training via YouTube

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Overview

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Explore a comprehensive video tutorial on architecting applications to meet specific requirements. Learn to analyze application needs, identify potential failure points, and design robust architectures at both infrastructure and application levels. Discover key concepts such as service SLAs, bulkhead thinking, composite SLAs, and various resiliency options. Delve into application architecture improvements, including bulkheads, alternate paths, database considerations, decoupling, and caching. Master advanced techniques like circuit breaking and leaking buckets, and gain insights into best practices for creating resilient, high-performance applications.

Syllabus

- Introduction
- Understanding the application requirements
- What can fail?
- Elements of the architecture
- Service SLAs
- Introducing bulkhead thinking
- Using the right SLA
- Combining multiple services and the composite SLA
- Combining Azure services
- Improving the SLA
- The balancer and other issues
- Other resiliency options and using a cache
- Helping with application architecture
- Scales of resiliency in infrastructure
- Improvements to the application
- Bulkheads in the application architecture
- Alternate paths and database considerations
- Different pools
- Decoupling
- Caching detail
- Circuit breaking and leaking buckets
- Other best practices
- Summary

Taught by

John Savill's Technical Training

Reviews

5.0 rating, based on 1 Class Central review

Start your review of Architecting for Application Requirements: Understanding SLAs and Resiliency

  • Lana Masood
    This course provides a clear and practical explanation of SLAs and resiliency concepts. The instructor explains complex technical topics in a simple and structured way, making them easy to understand even for beginners. The examples are useful and help connect theory with real-world scenarios. I highly recommend this course to anyone interested in cloud architecture and system reliability.
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