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9 key DevOps metrics for success

Dynatrace

The emerging concepts of working with DevOps metrics and DevOps KPIs have really come a long way. DevOps metrics to help you meet your DevOps goals. Your next challenge is ensuring your DevOps processes, pipelines, and tooling meet the intended goal. Lead time for changes helps teams understand how effective their processes are.

DevOps 213
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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 276
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What is DevOps? Gene Kim offers an expert view and explains how to maximize success

Dynatrace

However, it isn’t as simple as just implementing a DevOps toolset, analyzing DevOps metrics, or investing in DevOps monitoring capabilities. Their research found that because high performers integrate security objectives into continuous delivery processes, they’ve seen the amount of time spent remediating security issues halved.

DevOps 230
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Lessons learned from enterprise service-level objective management

Dynatrace

However, many teams struggle with knowing which ones to use and how to incorporate them into the processes. Below, several Dynatrace customers shared their SLO management journey and discussed the resulting dashboards they rely on daily to manage their mission-critical business processes and applications. What are SLOs?

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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. By automating and accelerating the service-level objective (SLO) validation process and quickly reacting to regressions in service-level indicators (SLIs), SREs can speed up software delivery and innovation. Service-level objectives (SLOs).

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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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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.