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9 key DevOps metrics for success

Dynatrace

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. The emerging concepts of working with DevOps metrics and DevOps KPIs have really come a long way.

DevOps 200
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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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Lessons learned from enterprise service-level objective management

Dynatrace

Every organization’s goal is to keep its systems available and resilient to support business demands. Lastly, error budgets, as the difference between a current state and the target, represent the maximum amount of time a system can fail per the contractual agreement without repercussions. Dynatrace news. A world of misunderstandings.

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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. Develop error budgets to help teams measure success and make data-driven decisions.

Software 263
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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.

Metrics 59
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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. For example, development teams can use automation to increase efficiency in the software development lifecycle.

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

Tasktop

Writing in a recent blog , Condo lays out the challenge that faces modern enterprises: “ Application development and delivery (AD&D) leaders focusing on velocity and cadence are finding there’s more to software delivery than going fast. These existing metrics only help improve flow if that silo is itself the bottleneck.