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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. Like any IT or business project, you’ll need to track critical key metrics. Here are nine key DevOps metrics and DevOps KPIs that will help you be successful.

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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 following three metrics are commonly used to measure success: Service-level agreements (SLAs). These metrics are the factors and service levels that must be achieved for each activity, function, and process to deliver on the SLA.

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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. According to Google’s SRE handbook , best practices, there are “ Four Golden Signals ” we can convert into four SLOs for services: reliability, latency, availability, and saturation.

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Lessons learned from enterprise service-level objective management

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This greatly reduced the number of metrics to manage and provided a more comprehensive picture of what was behind their primary reliability service-level objective. The metrics behind the four signals vary by row. SLO dashboard defined by architectural boundary. The “Four Golden Signals” include the following: Latency.

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DORA Metrics and Flow Metrics: Use the Whole Ruler, Not Just Two Inches

Tasktop

While DevOps Research and Assessment (DORA) metrics help you deliver more quickly, Flow Metrics —as defined by Dr. Mik Kersten as part of his pioneering Value Stream Management paradigm the Flow Framework® —help you deliver the right things more quickly at the right quality and cost and with the necessary team engagement.

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

Dynatrace

Data lakehouse architecture stores data insights in context — handbook Organizations need a data architecture that can cost-efficiently store data and enable IT pros to access it in real time and with proper context. DevOps metrics and digital experience data are critical to this. That’s where a data lakehouse can help.

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Did Your Organization Wake Up as a Software Company? You Need Value Stream Management (VSM)(VSM)

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John Willis, Senior Director of the Global Transformation Office at Red Hat, co-author of The DevOps Handbook – Mik + One (Project to Product) Podcast, Episode 17: John Willis (September 22, 2020). These existing metrics only help improve flow if that silo is itself the bottleneck. Drop us a line to register.