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You have set up a DevOps practice. As we look at today’s applications, microservices, and DevOps teams, we see leaders are tasked with supporting complex distributed applications using new technologies spread across systems in multiple locations. DevOps metrics to help you meet your DevOps goals. Dynatrace news.
SLOs enable DevOps teams to predict problems before they occur and especially before they affect customer experience. First, it helps to understand that applications and all the services and infrastructure that support them generate telemetry data based on traffic from real users. SLOs minimize downtime. Define SLOs for each service.
That’s why good communication between SREs and DevOps teams is important. It detects regressions and deviations from previously observed behavior across metrics such as latency, traffic, error rates, saturation, security coverage, vulnerability risk levels, and memory consumption.
According to the Google Site Reliability Engineering (SRE) handbook, monitoring the four golden signals is crucial in delivering high-performing software solutions. These signals ( latency, traffic, errors, and saturation ) provide a solid means of proactively monitoring operative systems via SLOs and tracking business success.
A service-level objective ( SLO ) is the new contract between business, DevOps, and site reliability engineers (SREs). To ensure their global service levels, they fully embraced the best practices outlined in Google’s SRE handbook , called the “Four Golden Signals,” to standardize what they show on their SRE dashboards.
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. Once Dynatrace sees the incoming traffic it will also show up in Dynatrace, under Transaction & Services.
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