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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.

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State and local agencies speed incident response, reduce costs, and focus on innovation

Dynatrace

Kailey Smith, application architect on the DevOps team for Minnesota IT Services (MNIT), discussed her experience with an outage that left her and her peers to play defense and fight fires. It helps our DevOps team respond and resolve systems’ problems faster,” Smith said. Register to listen to the webinar.

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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 a message queue? How an observability platform eases message queue monitoring

Dynatrace

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. Microservices are an increasingly popular way to build software because of their speed and flexibility compared with traditional monolithic approaches. Watch webinar now!

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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 is a message queue? How an observability platform eases message queue monitoring

Dynatrace

In a distributed processing environment, message queuing is similar, although the speed and volume of messages are much greater. Microservices are an increasingly popular way to build software because of their speed and flexibility compared with traditional monolithic approaches. Queued messages are typically small and specific.

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4 steps to modernize your IT service operations with Dynatrace

Dynatrace

In my role as DevOps and Autonomous Cloud Activist at Dynatrace, I get to talk to a lot of organizations and teams, and advise them on how to speed up delivery while also increasing the delivery in order to minimize the impact on operations. We came up with list of four key questions, then answered and demoed in our recent webinar.

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