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Implementing Azure Cloud Design Patterns

You're reading from   Implementing Azure Cloud Design Patterns Implement efficient design patterns for data management, high availability, monitoring and other popular patterns on your Azure Cloud

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Product type Paperback
Published in Jan 2018
Publisher Packt
ISBN-13 9781788393362
Length 300 pages
Edition 1st Edition
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Authors (2):
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Oliver Michalski Oliver Michalski
Author Profile Icon Oliver Michalski
Oliver Michalski
Stefano Demiliani Stefano Demiliani
Author Profile Icon Stefano Demiliani
Stefano Demiliani
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Toc

Service level objectives


In the last chapter, I tried to introduce you to the topic of service level agreement (SLA). An SLA is a contract that includes a guaranteed value for the availability. In addition to this guaranteed value, so-called service level objectives (SLOs) can also be used. But SLOs are not guarantees, but goals in the performance area. In other words, the service is just trying to reach a certain level. The entire environment and interaction with other services can have a negative impact.

Typical SLOs can be found in the following areas:

  • Throughput: How many operations can be performed in a given period of time?
  • Concurrency: How many operations can be performed simultaneously?
  • Latency: How long does the system take to perform an operation?
  • Headroom: How much capacity does the system have to allow growth?
  • Error rate: How many exceptions does the system generate while performing operations?

Note

SLOs are also called Key Performance Indicators (KPIs).

Now we have learned a lot of theory...

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