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SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release and where engineers should focus their time. In what follows, we explore some of these best practices and guidance for implementing service-level objectives in your monitored environment.
They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. There are simply too many disparate sources of information to successfully manage and monitor without automation.
How site reliability engineering affects organizations’ bottom line SRE applies the disciplines of software engineering to infrastructure management, both on-premises and in the cloud. There are now many more applications, tools, and infrastructure variables that impact an application’s performance and availability.
While Google’s SRE Handbook mostly focuses on the production use case for SLIs/SLOs, Keptn is “Shifting-Left” this approach and using SLIs/SLOs to enforce Quality Gates as part of your progressive delivery process. This will enable deep monitoring of those Java,NET, Node, processes as well as your web servers.
While DevOps is often referred to as “agile operations,” the widely quoted definition from Jez Humble, co-author of The DevOps Handbook, calls it “a cross-disciplinary community of practice dedicated to the study of building, evolving, and operating rapidly-changing resilient systems at scale.” It takes more than four.
And infrastructure changes. Drew: Are there other ways of identifying what should be automated through sort of monitoring your systems and measuring things? Jeff: You’re seeing this a lot more with infrastructure automation as well, right, where it’s like, “Hey, are our requests per second are reaching our theoretical maximum.
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