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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. Change failure rate.

DevOps 213
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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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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. The second, according to Kim, is data being trapped in systems, taking weeks, months, or even entire quarters before it finds its way into the hands of developers to help them make decisions.

DevOps 230
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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.

Software 276
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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. Uptime Institute’s 2022 Outage Analysis report found that over 60% of system outages resulted in at least $100,000 in total losses, up from 39% in 2019. More than one in seven outages cost more than $1 million. availability.

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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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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. These signals ( latency, traffic, errors, and saturation ) provide a solid means of proactively monitoring operative systems via SLOs and tracking business success.