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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.

DevOps 206
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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 223
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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. When organizations implement SLOs, they can improve software development processes and application performance. The performance SLO needs a custom SLI metric, which you can configure as follows.

Software 269
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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. That’s why good communication between SREs and DevOps teams is important. The growing amount of data processed at the network edge, where failures are more difficult to prevent, magnifies complexity. availability.

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

Dynatrace

According to the Google Site Reliability Engineering (SRE) handbook, monitoring the four golden signals is crucial in delivering high-performing software solutions. While this connection might sound simple, finding the right metrics to measure the needed SLIs takes time and effort.

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

Dynatrace

Grail, the Dynatrace causational data lakehouse with a massively parallel processing analytics engine, unites observability, security, and business data from multicloud and cloud-native environments while retaining the data’s context to deliver precise answers in real time. What is a data lakehouse?

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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). However, many teams struggle with knowing which ones to use and how to incorporate them into the processes. They knew a different team supported each step in the process. So, what did they do?