From the course: DevOps Foundations: Site Reliability Engineering
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Change management
From the course: DevOps Foundations: Site Reliability Engineering
Change management
- Tickets, change requests and release plans can be very remote from the workflow of an operator. So how does an operator know that when the system load suddenly doubles that it's the result of a code change? - This is where leveraging high-visibility communication paths is important. With ChatOps, feed changes into common chat rooms. Log deployments changes events and overlay them onto your dashboards. - Put those dashboards on information radiators, like monitors in public places to make sure that people know about the changes going on. - At my work, every automated change sends a record to our Datadog monitoring system and several HipChat rooms. People who make manual changes have to log them in the same way. These changes are all tagged with the system and environment they apply to and the relevant Jira ticket number. Then it's super easy for an operator to see all changes relevant to any given part of the…
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Contents
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Release engineering5m 12s
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(Locked)
Change management2m 55s
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(Locked)
Self-service automation4m 46s
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(Locked)
SLAs and SLOs5m 21s
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(Locked)
Incident management5m 43s
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(Locked)
Introducing postmortems3m 29s
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The postmortem process4m 3s
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Troubleshooting5m 58s
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Performance engineering5m 36s
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Capacity and scalability5m 21s
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Distributed design5m 2s
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(Locked)
Deliberate adversity3m 57s
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