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Site reliability done right: 5 SRE best practices that deliver on business objectives

Dynatrace

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. At the lowest level, SLIs provide a view of service availability, latency, performance, and capacity across systems. Make SLOs realistic.

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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 217
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Maximize user experience with out-of-the-box service-performance SLOs

Dynatrace

SLOs cover a wide range of monitoring options for different applications. According to the Google Site Reliability Engineering (SRE) handbook, monitoring the four golden signals is crucial in delivering high-performing software solutions. One template explicitly targets service performance monitoring.

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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

In what follows, we explore some of these best practices and guidance for implementing service-level objectives in your monitored environment. 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 263
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Perform 2023 Guide: Organizations mine efficiencies with automation, causal AI

Dynatrace

They now use modern observability to monitor expanding cloud environments in order to operate more efficiently, innovate faster and more securely, and to deliver consistently better business results. There are simply too many disparate sources of information to successfully manage and monitor without automation.

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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. For most systems, an optimum MTTR could be less than one hour while others have an MTTR of less than one day.

DevOps 200