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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 162
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RSA guide 2024: AI and security are top concerns for organizations in every industry

Dynatrace

Tech Transforms podcast: It’s time to get familiar with generative AI – blog Generative AI can unlock boundless innovation. 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?

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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. Manually sifting through data to answer these questions is time-consuming and takes time away from innovation.

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Technology predictions for 2024: Dynatrace expectations for observability, security, and AI trends

Dynatrace

This year, they’ve been asked to do more with less, innovate faster, and tame the ever-increasing complexities of modern cloud environments. And a staggering 83% of respondents to a recent DevOps Digest survey have plans to adopt platform engineering or have already done so. Data indicates these technology trends have taken hold.

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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

Properly set and defined SLOs should have error budgets that give developers space to innovate without impacting operations. 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.

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“Anything is Possible in the Novel Economy” – Brian Solis

Tasktop

Yet despite all the uncertainty and hardship, Brian—Global Innovation Evangelist at Salesforce—remains upbeat that opportunity abounds, and that “anything is possible” — especially if enterprises center their response around the safety and evolving needs of customers and employees. . What is the “Novel Economy”?