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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. Joining Gunja for the webinar were SREs Danne Aguiar from Kyndryl, Hilliary Lipsig from Red Hat, and Stephen Townshend from SquaredUp. Download now!

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Is DevOps dead? Exploring the changing IT landscape and future of DevOps

Dynatrace

Just as organizations have increasingly shifted from on-premises environments to those in the cloud, development and operations teams now work together in a DevOps framework rather than in silos. But as digital transformation persists, new inefficiencies are emerging and changing the future of DevOps.

DevOps 161
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RSA guide 2024: AI and security are top concerns for organizations in every industry

Dynatrace

Learn how security improves DevOps. Best practices for building a strong DevSecOps maturity model – blog How can businesses effectively implement best practices to align with the evolving DevSecOps maturity model? Here’s what you need to know.

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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. DevOps, SREs, developers… everyone will ask questions. The DevOps people looking end-to-end. To watch the full webinar, check out the on-demand recording here.

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What is log management? How to tame distributed cloud system complexities

Dynatrace

While logging is the act of recording logs, organizations extract actionable insights from these logs with log monitoring, log analytics, and log management. Comparing log monitoring, log analytics, and log management. Log monitoring enables the collection of log data, and log analysis promotes intelligent, data-driven decision making.

Systems 184
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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. Causal AI is critical to feed quality data inputs to the algorithms that underpin generative AI.

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What are SLOs? How service-level objectives work with SLIs to deliver on SLAs

Dynatrace

Watch webinar now! SLOs can be a great way for DevOps and infrastructure teams to use data and performance expectations to make decisions, such as whether to release, and where engineers should focus their time. SLOs allow DevOps teams to predict the problems before they occur and especially before they impact customers.

Metrics 189