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9 key DevOps metrics for success

Dynatrace

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.

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What is DevOps? Gene Kim offers an expert view and explains how to maximize success

Dynatrace

To keep up, we’ve seen growing interest in DevOps and continuous delivery , as organizations aim to deliver new digital services and experiences faster. However, it isn’t as simple as just implementing a DevOps toolset, analyzing DevOps metrics, or investing in DevOps monitoring capabilities. What is DevOps?

DevOps 216
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Site reliability done right: 5 SRE best practices that deliver on business objectives

Dynatrace

As a result, site reliability has emerged as a critical success metric for many organizations. The practice uses continuous monitoring and high levels of automation in close collaboration with agile development teams to ensure applications are highly available and perform without friction. Service-level objectives (SLOs). availability.

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Implementing service-level objectives to improve software quality

Dynatrace

By implementing service-level objectives, teams can avoid collecting and checking a huge amount of metrics for each service. SLOs enable DevOps teams to predict problems before they occur and especially before they affect customer experience. The performance SLO needs a custom SLI metric, which you can configure as follows.

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Maximize user experience with out-of-the-box service-performance SLOs

Dynatrace

SLOs cover a wide range of monitoring options for different applications. According to the Google Site Reliability Engineering (SRE) handbook, monitoring the four golden signals is crucial in delivering high-performing software solutions. One template explicitly targets service performance monitoring.

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Perform 2023 Guide: Organizations mine efficiencies with automation, causal AI

Dynatrace

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. Learn more.

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Lessons learned from enterprise service-level objective management

Dynatrace

A service-level objective ( SLO ) is the new contract between business, DevOps, and site reliability engineers (SREs). Organizations have multiple stakeholders and almost always have different teams that set up monitoring, operate systems, and develop new functionality. The monitoring team set up the dashboard, so who owns violations?