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Dynatrace ensures continuous software quality by combining synthetic monitoring and automatic release validation

Dynatrace

Organizations can now accelerate innovation and reduce the risk of failed software releases by incorporating on-demand synthetic monitoring as a metrics provider for automatic, continuous release-validation processes. The ability to scale testing as part of the software development lifecycle (SDLC) has proven difficult.

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Dynatrace log collection for ARM unlocks power-efficient architecture for your enterprise

Dynatrace

This growth was spurred by mobile ecosystems with Android and iOS operating systems, where ARM has a unique advantage in energy efficiency while offering high performance. Legacy data center infrastructure and software support have kept all the benefits of ARM at, well… arm’s length.

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Closed-loop remediation: Why unified observability is an essential auto-remediation best practice

Dynatrace

It is also a key metric for organizations looking to improve their DevOps performance. This metric represents the proportion of system incidents resolved by escalating to a higher level of support. This time could be better spent innovating; closed – loop remediation frees up developers’ time, resources, and energy.

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AWS re:Invent 2023 guide: Generative AI takes a front seat

Dynatrace

The path to achieving unprecedented productivity and software innovation through ChatGPT and other generative AI – blog Paired with causal AI, organizations can increase the impact and safer use of ChatGPT and other generative AI technologies. So, what is artificial intelligence? What is predictive AI?

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Partner Viewpoint: 2020 Gartner Magic Quadrant for APM & 2020 Critical Capabilities for APM

Dynatrace

Your relentless innovation, creativity, and pursuit of ‘better’ is what we believe drives Dynatrace forward. Instead, our partners are now able to fully utilize their scale, resources and expertise to build advanced service offerings that drive automation and innovation across enterprises. Accelerated transformation.

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To understand the risks posed by AI, follow the money

O'Reilly

Time and again, leading scientists, technologists, and philosophers have made spectacularly terrible guesses about the direction of innovation. We’ll see more innovation if emerging AI tools are accessible to everyone, such that a dispersed ecosystem of new firms, start-ups, and AI tools can arise. But not all rents are bad.

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Sustainability at AWS re:Invent 2022 All the talks and videos I could find…

Adrian Cockcroft

The keynotes didn’t feature anything new on carbon, just re-iterated the existing path to 100% green energy by 2025. We also may choose to support these grids through the purchase of environmental attributes, like Renewable Energy Certificates and Guarantees of Origin, in line with our Renewable Energy Methodology.

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