By Lee Atchison
Every day, businesses fight to scale severe functions. As site visitors quantity and knowledge calls for raise, those functions develop into extra advanced and brittle, exposing hazards and compromising availability. This useful consultant exhibits IT, devops, and approach reliability managers the way to hinder an program from turning into sluggish, inconsistent, or downright unavailable because it grows.
Scaling isn’t near to dealing with extra clients; it’s additionally approximately coping with probability and making sure availability. writer Lee Atchison presents uncomplicated suggestions for construction functions that may deal with large amounts of site visitors, facts, and insist with no affecting the standard your clients expect.
In 5 elements, this publication explores:
- Availability: study ideas for development hugely on hand purposes, and for monitoring and enhancing availability going forward
- Risk management: establish, mitigate, and deal with hazards on your software, try your recovery/disaster plans, and construct out structures that comprise fewer risks
- Services and microservices: comprehend the worth of companies for development advanced functions that have to function at better scale
- Scaling applications: assign prone to precise groups, label the criticalness of every provider, and devise failure eventualities and restoration plans
- Cloud services: comprehend the constitution of cloud-based prone, source allocation, and repair distribution
Read or Download Architecting for Scale: High Availability for Your Growing Applications PDF
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Additional resources for Architecting for Scale: High Availability for Your Growing Applications
This allows you to limit the scope of a problem and have your application still provide useful capabilities even if part of the application is failing. Dependencies What do you do when a component you depend on fails? How do you retry? What do you do if the problem is an unrecoverable (hard) failure, rather than a recoverable (soft) failure? Circuit breaker patterns are particularly useful for handling dependency failures because they can reduce the impact a dependency failure has on your system.
Chapter 2. Five Focuses to Improve Application Availability Building a scalable application that has high availability is not easy and does not come automatically. Problems can crop up in unexpected ways, that can cause your beautifully functioning application to stop working for all or some of your customers. These availability problems often arise from the areas you least expect, and some of the most serious availability problems can originate from extremely benign sources. A Simple Icon Failure A classic example of the pitfalls of ignoring dependency failure occurred in a real-life application I worked on.
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