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The value of open platforms: How an open software intelligence platform accelerates innovation

Dynatrace

Software should forward innovation and drive better business outcomes. Conversely, an open platform can promote interoperability and innovation. Legacy technologies involve dependencies, customization, and governance that hamper innovation and create inertia. Data supports this need for organizations to flex and modernize.

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

Dynatrace

With constraints on IT resources, downtime shifts staff away from innovation and other strategic work. By detecting errors and bugs before they’re deployed to production, we save money on development and testing and better serve the citizens of our state.” Those hours spent troubleshooting can be spent innovating,” Smith continued.

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Analyze OpenTelemetry traces and log data at scale: Accelerate troubleshooting and optimize application performance

Dynatrace

Teams need a better way to work together, eliminate silos and spend more time innovating. Trace your application Imagine a microservices architecture with hundreds of dependencies. This architecture also means you’re not required to determine your log data use cases beforehand or while analyzing logs within the new logs app.

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Site reliability engineering: Six SRE trends to unleash DevOps innovation

Dynatrace

In order to unleash the innovation organizations need to evolve their SRE approaches. More than half (51%) of SREs say they dedicate significant time to influencing architectural design decisions to improve reliability. Embrace experimentation and unleash exciting innovation. SRE adoption is growing, yet gaps remain.

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Business observability: From IT monitoring to driving digital transformation

Dynatrace

With hybrid and multi-cloud architectures rendering organizations’ environments more complex and distributed, cloud observability has become increasingly important. Agility and innovation. Often, these metrics are unable to even identify trends from past to present, never mind helping teams to predict future trends.

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For your eyes only: improving Netflix video quality with neural networks

The Netflix TechBlog

Our approach to NN-based video downscaling The deep downscaler is a neural network architecture designed to improve the end-to-end video quality by learning a higher-quality video downscaler. Architecture of the deep downscaler model, consisting of a preprocessing block followed by a resizing block.

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Charting the course for automation and AI for federal agencies

Dynatrace

“The Office of Management and Budget (OMB) is seeking to make certifications easier, and agencies will probably see a faster pace of authorizations in the second quarter of calendar year 2024,” said Ross Nodurft, policy expert and executive director of the Alliance for Digital Innovation. As with Star Trek, ZT will be an ongoing voyage.