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

Dynatrace

How site reliability engineering affects organizations’ bottom line SRE applies the disciplines of software engineering to infrastructure management, both on-premises and in the cloud. That’s why good communication between SREs and DevOps teams is important.

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The state of site reliability engineering: SRE challenges and best practices in 2023

Dynatrace

Dynatrace product marketing director of DevOps Saif Gunja hosted the 2023 State of SRE webinar. Customer empathy is key to a fully optimized site reliability engineering practice Software engineering can often be an impersonal discipline.

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Dynatrace Perform 2024 Guide: Deriving business value from AI data analysis

Dynatrace

‘Composite’ AI, platform engineering, AI data analysis through custom apps This focus on data reliability and data quality also highlights the need for organizations to bring a “ composite AI ” approach to IT operations, security, and DevOps. The platform engineer role: A game-changer or just hype? Enter causal AI.

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Application observability meets developer observability: Unlock a 360º view of your environment

Dynatrace

In a recent webinar , Dynatrace DevOps activist Andi Grabner and senior software engineer Yarden Laifenfeld explored developer observability. Why is developer observability important for engineers? DevOps, SREs, developers… everyone will ask questions. The DevOps people looking end-to-end.

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Site reliability engineering: 5 things you need to know

Dynatrace

What is site reliability engineering? Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. Dynatrace news. SRE bridges the gap between Dev and Ops teams.

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Site reliability engineering: 5 things to you need to know

Dynatrace

Site reliability engineering (SRE) is the practice of applying software engineering principles to operations and infrastructure processes to help organizations create highly reliable and scalable software systems. DevOps teams must constantly adapt by using agile methodologies and rapid delivery models, such as CI/CD.

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Autonomous Cloud Enablement aka Scaling NoOps via Self-Service

Dynatrace

Autonomous Cloud is what enables our globally distributed development teams at Dynatrace to deliver better software faster following our NoOps approach: Fully Autonomous and as a Self-Service! Three waves of DevOps leading to Autonomous Cloud. DevOps Transformation at Dynatrace enacted live on stage at Perform 2017!

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